Project acronym 3DPROTEINPUZZLES
Project Shape-directed protein assembly design
Researcher (PI) Lars Ingemar ANDRe
Host Institution (HI) MAX IV Laboratory, Lund University
Country Sweden
Call Details Consolidator Grant (CoG), LS9, ERC-2017-COG
Summary Large protein complexes carry out some of the most complex functions in biology. Such structures are often assembled spontaneously from individual components through the process of self-assembly. If self-assembled protein complexes could be engineered from first principle it would enable a wide range of applications in biomedicine, nanotechnology and materials science. Recently, approaches to rationally design proteins to self-assembly into predefined structures have emerged. The highlight of this work is the design of protein cages that may be engineered into protein containers. However, current approaches for self-assembly design does not result in the assemblies with the required structural complexity to encode many of the sophisticated functions found in nature. To move forward, we have to learn how to engineer protein subunits with more than one designed interface that can assemble into tightly interacting complexes. In this proposal we propose a new protein design paradigm, shape directed protein design, in order to address shortcomings of the current methodology. The proposed method combines geometric shape matching and computational protein design. Using this approach we will de novo design assemblies with a wide variety of structural states, including protein complexes with cyclic and dihedral symmetry as well as icosahedral protein capsids built from novel protein building blocks. To enable these two design challenges we also develop a high-throughput assay to measure assembly stability in vivo that builds on a three-color fluorescent assay. This method will not only facilitate the screening of orders of magnitude more design constructs, but also enable the application of directed evolution to experimentally improve stable and assembly properties of designed containers as well as other designed assemblies.
Summary
Large protein complexes carry out some of the most complex functions in biology. Such structures are often assembled spontaneously from individual components through the process of self-assembly. If self-assembled protein complexes could be engineered from first principle it would enable a wide range of applications in biomedicine, nanotechnology and materials science. Recently, approaches to rationally design proteins to self-assembly into predefined structures have emerged. The highlight of this work is the design of protein cages that may be engineered into protein containers. However, current approaches for self-assembly design does not result in the assemblies with the required structural complexity to encode many of the sophisticated functions found in nature. To move forward, we have to learn how to engineer protein subunits with more than one designed interface that can assemble into tightly interacting complexes. In this proposal we propose a new protein design paradigm, shape directed protein design, in order to address shortcomings of the current methodology. The proposed method combines geometric shape matching and computational protein design. Using this approach we will de novo design assemblies with a wide variety of structural states, including protein complexes with cyclic and dihedral symmetry as well as icosahedral protein capsids built from novel protein building blocks. To enable these two design challenges we also develop a high-throughput assay to measure assembly stability in vivo that builds on a three-color fluorescent assay. This method will not only facilitate the screening of orders of magnitude more design constructs, but also enable the application of directed evolution to experimentally improve stable and assembly properties of designed containers as well as other designed assemblies.
Max ERC Funding
2 325 292 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym A2C2
Project Atmospheric flow Analogues and Climate Change
Researcher (PI) Pascal Yiou
Host Institution (HI) COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
Country France
Call Details Advanced Grant (AdG), PE10, ERC-2013-ADG
Summary "The A2C2 project treats two major challenges in climate and atmospheric research: the time dependence of the climate attractor to external forcings (solar, volcanic eruptions and anthropogenic), and the attribution of extreme climate events occurring in the northern extra-tropics. The main difficulties are the limited climate information, the computer cost of model simulations, and mathematical assumptions that are hardly verified and often overlooked in the literature.
A2C2 proposes a practical framework to overcome those three difficulties, linking the theory of dynamical systems and statistics. We will generalize the methodology of flow analogues to multiple databases in order to obtain probabilistic descriptions of analogue decompositions.
The project is divided into three workpackages (WP). WP1 embeds the analogue method in the theory of dynamical systems in order to provide a metric of an attractor deformation in time. The important methodological step is to detect trends or persisting outliers in the dates and scores of analogues when the system yields time-varying forcings. This is done from idealized models and full size climate models in which the forcings (anthropogenic and natural) are known.
A2C2 creates an open source toolkit to compute flow analogues from a wide array of databases (WP2). WP3 treats the two scientific challenges with the analogue method and multiple model ensembles, hence allowing uncertainty estimates under realistic mathematical hypotheses. The flow analogue methodology allows a systematic and quasi real-time analysis of extreme events, which is currently out of the reach of conventional climate modeling approaches.
The major breakthrough of A2C2 is to bridge the gap between operational needs (the immediate analysis of climate events) and the understanding long-term climate changes. A2C2 opens new research horizons for the exploitation of ensembles of simulations and reliable estimates of uncertainty."
Summary
"The A2C2 project treats two major challenges in climate and atmospheric research: the time dependence of the climate attractor to external forcings (solar, volcanic eruptions and anthropogenic), and the attribution of extreme climate events occurring in the northern extra-tropics. The main difficulties are the limited climate information, the computer cost of model simulations, and mathematical assumptions that are hardly verified and often overlooked in the literature.
A2C2 proposes a practical framework to overcome those three difficulties, linking the theory of dynamical systems and statistics. We will generalize the methodology of flow analogues to multiple databases in order to obtain probabilistic descriptions of analogue decompositions.
The project is divided into three workpackages (WP). WP1 embeds the analogue method in the theory of dynamical systems in order to provide a metric of an attractor deformation in time. The important methodological step is to detect trends or persisting outliers in the dates and scores of analogues when the system yields time-varying forcings. This is done from idealized models and full size climate models in which the forcings (anthropogenic and natural) are known.
A2C2 creates an open source toolkit to compute flow analogues from a wide array of databases (WP2). WP3 treats the two scientific challenges with the analogue method and multiple model ensembles, hence allowing uncertainty estimates under realistic mathematical hypotheses. The flow analogue methodology allows a systematic and quasi real-time analysis of extreme events, which is currently out of the reach of conventional climate modeling approaches.
The major breakthrough of A2C2 is to bridge the gap between operational needs (the immediate analysis of climate events) and the understanding long-term climate changes. A2C2 opens new research horizons for the exploitation of ensembles of simulations and reliable estimates of uncertainty."
Max ERC Funding
1 491 457 €
Duration
Start date: 2014-03-01, End date: 2019-02-28
Project acronym ABEL
Project "Alpha-helical Barrels: Exploring, Understanding and Exploiting a New Class of Protein Structure"
Researcher (PI) Derek Neil Woolfson
Host Institution (HI) UNIVERSITY OF BRISTOL
Country United Kingdom
Call Details Advanced Grant (AdG), LS9, ERC-2013-ADG
Summary "Recently through de novo peptide design, we have discovered and presented a new protein structure. This is an all-parallel, 6-helix bundle with a continuous central channel of 0.5 – 0.6 nm diameter. We posit that this is one of a broader class of protein structures that we call the alpha-helical barrels. Here, in three Work Packages, we propose to explore these structures and to develop protein functions within them. First, through a combination of computer-aided design, peptide synthesis and thorough biophysical characterization, we will examine the extents and limits of the alpha-helical-barrel structures. Whilst this is curiosity driven research, it also has practical consequences for the studies that will follow; that is, alpha-helical barrels made from increasing numbers of helices have channels or pores that increase in a predictable way. Second, we will use rational and empirical design approaches to engineer a range of functions within these cavities, including binding capabilities and enzyme-like activities. Finally, and taking the programme into another ambitious area, we will use the alpha-helical barrels to template other folds that are otherwise difficult to design and engineer, notably beta-barrels that insert into membranes to render ion-channel and sensor functions."
Summary
"Recently through de novo peptide design, we have discovered and presented a new protein structure. This is an all-parallel, 6-helix bundle with a continuous central channel of 0.5 – 0.6 nm diameter. We posit that this is one of a broader class of protein structures that we call the alpha-helical barrels. Here, in three Work Packages, we propose to explore these structures and to develop protein functions within them. First, through a combination of computer-aided design, peptide synthesis and thorough biophysical characterization, we will examine the extents and limits of the alpha-helical-barrel structures. Whilst this is curiosity driven research, it also has practical consequences for the studies that will follow; that is, alpha-helical barrels made from increasing numbers of helices have channels or pores that increase in a predictable way. Second, we will use rational and empirical design approaches to engineer a range of functions within these cavities, including binding capabilities and enzyme-like activities. Finally, and taking the programme into another ambitious area, we will use the alpha-helical barrels to template other folds that are otherwise difficult to design and engineer, notably beta-barrels that insert into membranes to render ion-channel and sensor functions."
Max ERC Funding
2 467 844 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym ACCLIMATE
Project Elucidating the Causes and Effects of Atlantic Circulation Changes through Model-Data Integration
Researcher (PI) Claire Waelbroeck
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Country France
Call Details Advanced Grant (AdG), PE10, ERC-2013-ADG
Summary Rapid changes in ocean circulation and climate have been observed in marine sediment and ice cores, notably over the last 60 thousand years (ky), highlighting the non-linear character of the climate system and underlining the possibility of rapid climate shifts in response to anthropogenic greenhouse gas forcing.
To date, these rapid changes in climate and ocean circulation are still not fully explained. Two main obstacles prevent going beyond the current state of knowledge:
- Paleoclimatic proxy data are by essence only indirect indicators of the climatic variables, and thus can not be directly compared with model outputs;
- A 4-D (latitude, longitude, water depth, time) reconstruction of Atlantic water masses over the past 40 ky is lacking: previous studies have generated isolated records with disparate timescales which do not allow the causes of circulation changes to be identified.
Overcoming these two major limitations will lead to major breakthroughs in climate research. Concretely, I will create the first database of Atlantic deep-sea records over the last 40 ky, and extract full climatic information from these records through an innovative model-data integration scheme using an isotopic proxy forward modeling approach. The novelty and exceptional potential of this scheme is twofold: (i) it avoids hypotheses on proxy interpretation and hence suppresses or strongly reduces the errors of interpretation of paleoclimatic records; (ii) it produces states of the climate system that best explain the observations over the last 40 ky, while being consistent with the model physics.
Expected results include:
• The elucidation of the mechanisms explaining rapid changes in ocean circulation and climate over the last 40 ky,
• Improved climate model physics and parameterizations,
• The first projections of future climate changes obtained with a model able to reproduce the highly non linear behavior of the climate system observed over the last 40 ky.
Summary
Rapid changes in ocean circulation and climate have been observed in marine sediment and ice cores, notably over the last 60 thousand years (ky), highlighting the non-linear character of the climate system and underlining the possibility of rapid climate shifts in response to anthropogenic greenhouse gas forcing.
To date, these rapid changes in climate and ocean circulation are still not fully explained. Two main obstacles prevent going beyond the current state of knowledge:
- Paleoclimatic proxy data are by essence only indirect indicators of the climatic variables, and thus can not be directly compared with model outputs;
- A 4-D (latitude, longitude, water depth, time) reconstruction of Atlantic water masses over the past 40 ky is lacking: previous studies have generated isolated records with disparate timescales which do not allow the causes of circulation changes to be identified.
Overcoming these two major limitations will lead to major breakthroughs in climate research. Concretely, I will create the first database of Atlantic deep-sea records over the last 40 ky, and extract full climatic information from these records through an innovative model-data integration scheme using an isotopic proxy forward modeling approach. The novelty and exceptional potential of this scheme is twofold: (i) it avoids hypotheses on proxy interpretation and hence suppresses or strongly reduces the errors of interpretation of paleoclimatic records; (ii) it produces states of the climate system that best explain the observations over the last 40 ky, while being consistent with the model physics.
Expected results include:
• The elucidation of the mechanisms explaining rapid changes in ocean circulation and climate over the last 40 ky,
• Improved climate model physics and parameterizations,
• The first projections of future climate changes obtained with a model able to reproduce the highly non linear behavior of the climate system observed over the last 40 ky.
Max ERC Funding
3 000 000 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym ACCOPT
Project ACelerated COnvex OPTimization
Researcher (PI) Yurii NESTEROV
Host Institution (HI) UNIVERSITE CATHOLIQUE DE LOUVAIN
Country Belgium
Call Details Advanced Grant (AdG), PE1, ERC-2017-ADG
Summary The amazing rate of progress in the computer technologies and telecommunications presents many new challenges for Optimization Theory. New problems are usually very big in size, very special in structure and possibly have a distributed data support. This makes them unsolvable by the standard optimization methods. In these situations, old theoretical models, based on the hidden Black-Box information, cannot work. New theoretical and algorithmic solutions are urgently needed. In this project we will concentrate on development of fast optimization methods for problems of big and very big size. All the new methods will be endowed with provable efficiency guarantees for large classes of optimization problems, arising in practical applications. Our main tool is the acceleration technique developed for the standard Black-Box methods as applied to smooth convex functions. However, we will have to adapt it to deal with different situations.
The first line of development will be based on the smoothing technique as applied to a non-smooth functions. We propose to substantially extend this approach to generate approximate solutions in relative scale. The second line of research will be related to applying acceleration techniques to the second-order methods minimizing functions with sparse Hessians. Finally, we aim to develop fast gradient methods for huge-scale problems. The size of these problems is so big that even the usual vector operations are extremely expensive. Thus, we propose to develop new methods with sublinear iteration costs. In our approach, the main source for achieving improvements will be the proper use of problem structure.
Our overall aim is to be able to solve in a routine way many important problems, which currently look unsolvable. Moreover, the theoretical development of Convex Optimization will reach the state, when there is no gap between theory and practice: the theoretically most efficient methods will definitely outperform any homebred heuristics.
Summary
The amazing rate of progress in the computer technologies and telecommunications presents many new challenges for Optimization Theory. New problems are usually very big in size, very special in structure and possibly have a distributed data support. This makes them unsolvable by the standard optimization methods. In these situations, old theoretical models, based on the hidden Black-Box information, cannot work. New theoretical and algorithmic solutions are urgently needed. In this project we will concentrate on development of fast optimization methods for problems of big and very big size. All the new methods will be endowed with provable efficiency guarantees for large classes of optimization problems, arising in practical applications. Our main tool is the acceleration technique developed for the standard Black-Box methods as applied to smooth convex functions. However, we will have to adapt it to deal with different situations.
The first line of development will be based on the smoothing technique as applied to a non-smooth functions. We propose to substantially extend this approach to generate approximate solutions in relative scale. The second line of research will be related to applying acceleration techniques to the second-order methods minimizing functions with sparse Hessians. Finally, we aim to develop fast gradient methods for huge-scale problems. The size of these problems is so big that even the usual vector operations are extremely expensive. Thus, we propose to develop new methods with sublinear iteration costs. In our approach, the main source for achieving improvements will be the proper use of problem structure.
Our overall aim is to be able to solve in a routine way many important problems, which currently look unsolvable. Moreover, the theoretical development of Convex Optimization will reach the state, when there is no gap between theory and practice: the theoretically most efficient methods will definitely outperform any homebred heuristics.
Max ERC Funding
2 090 038 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym ACQDIV
Project Acquisition processes in maximally diverse languages: Min(d)ing the ambient language
Researcher (PI) Sabine Erika Stoll
Host Institution (HI) University of Zurich
Country Switzerland
Call Details Consolidator Grant (CoG), SH4, ERC-2013-CoG
Summary "Children learn any language that they grow up with, adapting to any of the ca. 7000 languages of the world, no matter how divergent or complex their structures are. What cognitive processes make this extreme flexibility possible? This is one of the most burning questions in cognitive science and the ACQDIV project aims at answering it by testing and refining the following leading hypothesis: Language acquisition is flexible and adaptive to any kind of language because it relies on a small set of universal cognitive processes that variably target different structures at different times during acquisition in every language. The project aims at establishing the precise set of processes and at determining the conditions of variation across maximally diverse languages. This project focuses on three processes: (i) distributional learning, (ii) generalization-based learning and (iii) interaction-based learning. To investigate these processes I will work with a sample of five clusters of languages including longitudinal data of two languages each. The clusters were determined by a clustering algorithm seeking the structurally most divergent languages in a typological database. The languages are: Cluster 1: Slavey and Cree, Cluster 2: Indonesian and Yucatec, Cluster 3: Inuktitut and Chintang, Cluster 4: Sesotho and Russian, Cluster 5: Japanese and Turkish. For all languages, corpora are available, except for Slavey where fieldwork is planned. The leading hypothesis will be tested against the acquisition of aspect and negation in each language of the sample and also against the two structures in each language that are most salient and challenging in them (e. g. complex morphology in Chintang). The acquisition processes also depend on statistical patterns in the input children receive. I will examine these patterns across the sample with respect to repetitiveness effects, applying data-mining methods and systematically comparing child-directed and child-surrounding speech."
Summary
"Children learn any language that they grow up with, adapting to any of the ca. 7000 languages of the world, no matter how divergent or complex their structures are. What cognitive processes make this extreme flexibility possible? This is one of the most burning questions in cognitive science and the ACQDIV project aims at answering it by testing and refining the following leading hypothesis: Language acquisition is flexible and adaptive to any kind of language because it relies on a small set of universal cognitive processes that variably target different structures at different times during acquisition in every language. The project aims at establishing the precise set of processes and at determining the conditions of variation across maximally diverse languages. This project focuses on three processes: (i) distributional learning, (ii) generalization-based learning and (iii) interaction-based learning. To investigate these processes I will work with a sample of five clusters of languages including longitudinal data of two languages each. The clusters were determined by a clustering algorithm seeking the structurally most divergent languages in a typological database. The languages are: Cluster 1: Slavey and Cree, Cluster 2: Indonesian and Yucatec, Cluster 3: Inuktitut and Chintang, Cluster 4: Sesotho and Russian, Cluster 5: Japanese and Turkish. For all languages, corpora are available, except for Slavey where fieldwork is planned. The leading hypothesis will be tested against the acquisition of aspect and negation in each language of the sample and also against the two structures in each language that are most salient and challenging in them (e. g. complex morphology in Chintang). The acquisition processes also depend on statistical patterns in the input children receive. I will examine these patterns across the sample with respect to repetitiveness effects, applying data-mining methods and systematically comparing child-directed and child-surrounding speech."
Max ERC Funding
1 998 438 €
Duration
Start date: 2014-09-01, End date: 2019-08-31
Project acronym ACRCC
Project Understanding the atmospheric circulation response to climate change
Researcher (PI) Theodore Shepherd
Host Institution (HI) THE UNIVERSITY OF READING
Country United Kingdom
Call Details Advanced Grant (AdG), PE10, ERC-2013-ADG
Summary Computer models based on known physical laws are our primary tool for predicting climate change. Yet the state-of-the-art models exhibit a disturbingly wide range of predictions of future climate change, especially when examined at the regional scale, which has not decreased as the models have become more comprehensive. The reasons for this are not understood. This represents a basic challenge to our fundamental understanding of climate.
The divergence of model projections is presumably related to systematic model errors in the large-scale fluxes of heat, moisture and momentum that control regional aspects of climate. That these errors stubbornly persist in spite of increases in the spatial resolution of the models suggests that they are associated with errors in the representation of unresolved processes, whose effects must be parameterised.
Most attention in climate science has hitherto focused on the thermodynamic aspects of climate. Dynamical aspects, which involve the atmospheric circulation, have received much less attention. However regional climate, including persistent climate regimes and extremes, is strongly controlled by atmospheric circulation patterns, which exhibit chaotic variability and whose representation in climate models depends sensitively on parameterised processes. Moreover the dynamical aspects of model projections are much less robust than the thermodynamic ones. There are good reasons to believe that model bias, the divergence of model projections, and chaotic variability are somehow related, although the relationships are not well understood. This calls for studying them together.
My proposed research will focus on this problem, addressing these three aspects of the atmospheric circulation response to climate change in parallel: (i) diagnosing the sources of model error; (ii) elucidating the relationship between model error and the spread in model projections; (iii) understanding the physical mechanisms of atmospheric variability.
Summary
Computer models based on known physical laws are our primary tool for predicting climate change. Yet the state-of-the-art models exhibit a disturbingly wide range of predictions of future climate change, especially when examined at the regional scale, which has not decreased as the models have become more comprehensive. The reasons for this are not understood. This represents a basic challenge to our fundamental understanding of climate.
The divergence of model projections is presumably related to systematic model errors in the large-scale fluxes of heat, moisture and momentum that control regional aspects of climate. That these errors stubbornly persist in spite of increases in the spatial resolution of the models suggests that they are associated with errors in the representation of unresolved processes, whose effects must be parameterised.
Most attention in climate science has hitherto focused on the thermodynamic aspects of climate. Dynamical aspects, which involve the atmospheric circulation, have received much less attention. However regional climate, including persistent climate regimes and extremes, is strongly controlled by atmospheric circulation patterns, which exhibit chaotic variability and whose representation in climate models depends sensitively on parameterised processes. Moreover the dynamical aspects of model projections are much less robust than the thermodynamic ones. There are good reasons to believe that model bias, the divergence of model projections, and chaotic variability are somehow related, although the relationships are not well understood. This calls for studying them together.
My proposed research will focus on this problem, addressing these three aspects of the atmospheric circulation response to climate change in parallel: (i) diagnosing the sources of model error; (ii) elucidating the relationship between model error and the spread in model projections; (iii) understanding the physical mechanisms of atmospheric variability.
Max ERC Funding
2 489 151 €
Duration
Start date: 2014-03-01, End date: 2020-02-29
Project acronym ADREEM
Project Adding Another Dimension – Arrays of 3D Bio-Responsive Materials
Researcher (PI) Mark Bradley
Host Institution (HI) THE UNIVERSITY OF EDINBURGH
Country United Kingdom
Call Details Advanced Grant (AdG), LS9, ERC-2013-ADG
Summary This proposal is focused in the areas of chemical medicine and chemical biology with the key drivers being the discovery and development of new materials that have practical functionality and application. The project will enable the fabrication of thousands of three-dimensional “smart-polymers” that will allow: (i). The precise and controlled release of drugs upon the addition of either a small molecule trigger or in response to disease, (ii). The discovery of materials that control and manipulate cells with the identification of scaffolds that provide the necessary biochemical cues for directing cell fate and drive tissue regeneration and (iii). The development of new classes of “smart-polymers” able, in real-time, to sense and report bacterial contamination. The newly discovered materials will find multiple biomedical applications in regenerative medicine and biotechnology ranging from 3D cell culture, bone repair and niche stabilisation to bacterial sensing/removal, while offering a new paradigm in drug delivery with biomarker triggered drug release.
Summary
This proposal is focused in the areas of chemical medicine and chemical biology with the key drivers being the discovery and development of new materials that have practical functionality and application. The project will enable the fabrication of thousands of three-dimensional “smart-polymers” that will allow: (i). The precise and controlled release of drugs upon the addition of either a small molecule trigger or in response to disease, (ii). The discovery of materials that control and manipulate cells with the identification of scaffolds that provide the necessary biochemical cues for directing cell fate and drive tissue regeneration and (iii). The development of new classes of “smart-polymers” able, in real-time, to sense and report bacterial contamination. The newly discovered materials will find multiple biomedical applications in regenerative medicine and biotechnology ranging from 3D cell culture, bone repair and niche stabilisation to bacterial sensing/removal, while offering a new paradigm in drug delivery with biomarker triggered drug release.
Max ERC Funding
2 310 884 €
Duration
Start date: 2014-11-01, End date: 2019-10-31
Project acronym AEROBIC
Project Assessing the Effects of Rising O2 on Biogeochemical Cycles: Integrated Laboratory Experiments and Numerical Simulations
Researcher (PI) Itay Halevy
Host Institution (HI) WEIZMANN INSTITUTE OF SCIENCE
Country Israel
Call Details Starting Grant (StG), PE10, ERC-2013-StG
Summary The rise of atmospheric O2 ~2,500 million years ago is one of the most profound transitions in Earth's history. Yet, despite its central role in shaping Earth's surface environment, the cause for the rise of O2 remains poorly understood. Tight coupling between the O2 cycle and the biogeochemical cycles of redox-active elements, such as C, Fe and S, implies radical changes in these cycles before, during and after the rise of O2. These changes, too, are incompletely understood, but have left valuable information encoded in the geological record. This information has been qualitatively interpreted, leaving many aspects of the rise of O2, including its causes and constraints on ocean chemistry before and after it, topics of ongoing research and debate. Here, I outline a research program to address this fundamental question in geochemical Earth systems evolution. The inherently interdisciplinary program uniquely integrates laboratory experiments, numerical models, geological observations, and geochemical analyses. Laboratory experiments and geological observations will constrain unknown parameters of the early biogeochemical cycles, and, in combination with field studies, will validate and refine the use of paleoenvironmental proxies. The insight gained will be used to develop detailed models of the coupled biogeochemical cycles, which will themselves be used to quantitatively understand the events surrounding the rise of O2, and to illuminate the dynamics of elemental cycles in the early oceans.
This program is expected to yield novel, quantitative insight into these important events in Earth history and to have a major impact on our understanding of early ocean chemistry and the rise of O2. An ERC Starting Grant will enable me to use the excellent experimental and computational facilities at my disposal, to access the outstanding human resource at the Weizmann Institute of Science, and to address one of the major open questions in modern geochemistry.
Summary
The rise of atmospheric O2 ~2,500 million years ago is one of the most profound transitions in Earth's history. Yet, despite its central role in shaping Earth's surface environment, the cause for the rise of O2 remains poorly understood. Tight coupling between the O2 cycle and the biogeochemical cycles of redox-active elements, such as C, Fe and S, implies radical changes in these cycles before, during and after the rise of O2. These changes, too, are incompletely understood, but have left valuable information encoded in the geological record. This information has been qualitatively interpreted, leaving many aspects of the rise of O2, including its causes and constraints on ocean chemistry before and after it, topics of ongoing research and debate. Here, I outline a research program to address this fundamental question in geochemical Earth systems evolution. The inherently interdisciplinary program uniquely integrates laboratory experiments, numerical models, geological observations, and geochemical analyses. Laboratory experiments and geological observations will constrain unknown parameters of the early biogeochemical cycles, and, in combination with field studies, will validate and refine the use of paleoenvironmental proxies. The insight gained will be used to develop detailed models of the coupled biogeochemical cycles, which will themselves be used to quantitatively understand the events surrounding the rise of O2, and to illuminate the dynamics of elemental cycles in the early oceans.
This program is expected to yield novel, quantitative insight into these important events in Earth history and to have a major impact on our understanding of early ocean chemistry and the rise of O2. An ERC Starting Grant will enable me to use the excellent experimental and computational facilities at my disposal, to access the outstanding human resource at the Weizmann Institute of Science, and to address one of the major open questions in modern geochemistry.
Max ERC Funding
1 472 690 €
Duration
Start date: 2013-09-01, End date: 2018-08-31
Project acronym AFMIDMOA
Project "Applying Fundamental Mathematics in Discrete Mathematics, Optimization, and Algorithmics"
Researcher (PI) Alexander Schrijver
Host Institution (HI) UNIVERSITEIT VAN AMSTERDAM
Country Netherlands
Call Details Advanced Grant (AdG), PE1, ERC-2013-ADG
Summary "This proposal aims at strengthening the connections between more fundamentally oriented areas of mathematics like algebra, geometry, analysis, and topology, and the more applied oriented and more recently emerging disciplines of discrete mathematics, optimization, and algorithmics.
The overall goal of the project is to obtain, with methods from fundamental mathematics, new effective tools to unravel the complexity of structures like graphs, networks, codes, knots, polynomials, and tensors, and to get a grip on such complex structures by new efficient characterizations, sharper bounds, and faster algorithms.
In the last few years, there have been several new developments where methods from representation theory, invariant theory, algebraic geometry, measure theory, functional analysis, and topology found new applications in discrete mathematics and optimization, both theoretically and algorithmically. Among the typical application areas are networks, coding, routing, timetabling, statistical and quantum physics, and computer science.
The project focuses in particular on:
A. Understanding partition functions with invariant theory and algebraic geometry
B. Graph limits, regularity, Hilbert spaces, and low rank approximation of polynomials
C. Reducing complexity in optimization by exploiting symmetry with representation theory
D. Reducing complexity in discrete optimization by homotopy and cohomology
These research modules are interconnected by themes like symmetry, regularity, and complexity, and by common methods from algebra, analysis, geometry, and topology."
Summary
"This proposal aims at strengthening the connections between more fundamentally oriented areas of mathematics like algebra, geometry, analysis, and topology, and the more applied oriented and more recently emerging disciplines of discrete mathematics, optimization, and algorithmics.
The overall goal of the project is to obtain, with methods from fundamental mathematics, new effective tools to unravel the complexity of structures like graphs, networks, codes, knots, polynomials, and tensors, and to get a grip on such complex structures by new efficient characterizations, sharper bounds, and faster algorithms.
In the last few years, there have been several new developments where methods from representation theory, invariant theory, algebraic geometry, measure theory, functional analysis, and topology found new applications in discrete mathematics and optimization, both theoretically and algorithmically. Among the typical application areas are networks, coding, routing, timetabling, statistical and quantum physics, and computer science.
The project focuses in particular on:
A. Understanding partition functions with invariant theory and algebraic geometry
B. Graph limits, regularity, Hilbert spaces, and low rank approximation of polynomials
C. Reducing complexity in optimization by exploiting symmetry with representation theory
D. Reducing complexity in discrete optimization by homotopy and cohomology
These research modules are interconnected by themes like symmetry, regularity, and complexity, and by common methods from algebra, analysis, geometry, and topology."
Max ERC Funding
2 001 598 €
Duration
Start date: 2014-01-01, End date: 2018-12-31
Project acronym AfricanWomen
Project Women in Africa
Researcher (PI) catherine GUIRKINGER
Host Institution (HI) UNIVERSITE DE NAMUR ASBL
Country Belgium
Call Details Starting Grant (StG), SH1, ERC-2017-STG
Summary Rates of domestic violence and the relative risk of premature death for women are higher in sub-Saharan Africa than in any other region. Yet we know remarkably little about the economic forces, incentives and constraints that drive discrimination against women in this region, making it hard to identify policy levers to address the problem. This project will help fill this gap.
I will investigate gender discrimination from two complementary perspectives. First, through the lens of economic history, I will investigate the forces driving trends in women’s relative well-being since slavery. To quantify the evolution of well-being of sub-Saharan women relative to men, I will use three types of historical data: anthropometric indicators (relative height), vital statistics (to compute numbers of missing women), and outcomes of formal and informal family law disputes. I will then investigate how major economic developments and changes in family laws differentially affected women’s welfare across ethnic groups with different norms on women’s roles and rights.
Second, using intra-household economic models, I will provide new insights into domestic violence and gender bias in access to crucial resources in present-day Africa. I will develop a new household model that incorporates gender identity and endogenous outside options to explore the relationship between women’s empowerment and the use of violence. Using the notion of strategic delegation, I will propose a new rationale for the separation of budgets often observed in African households and generate predictions of how improvements in women’s outside options affect welfare. Finally, with first hand data, I will investigate intra-household differences in nutrition and work effort in times of food shortage from the points of view of efficiency and equity. I will use activity trackers as an innovative means of collecting high quality data on work effort and thus overcome data limitations restricting the existing literature
Summary
Rates of domestic violence and the relative risk of premature death for women are higher in sub-Saharan Africa than in any other region. Yet we know remarkably little about the economic forces, incentives and constraints that drive discrimination against women in this region, making it hard to identify policy levers to address the problem. This project will help fill this gap.
I will investigate gender discrimination from two complementary perspectives. First, through the lens of economic history, I will investigate the forces driving trends in women’s relative well-being since slavery. To quantify the evolution of well-being of sub-Saharan women relative to men, I will use three types of historical data: anthropometric indicators (relative height), vital statistics (to compute numbers of missing women), and outcomes of formal and informal family law disputes. I will then investigate how major economic developments and changes in family laws differentially affected women’s welfare across ethnic groups with different norms on women’s roles and rights.
Second, using intra-household economic models, I will provide new insights into domestic violence and gender bias in access to crucial resources in present-day Africa. I will develop a new household model that incorporates gender identity and endogenous outside options to explore the relationship between women’s empowerment and the use of violence. Using the notion of strategic delegation, I will propose a new rationale for the separation of budgets often observed in African households and generate predictions of how improvements in women’s outside options affect welfare. Finally, with first hand data, I will investigate intra-household differences in nutrition and work effort in times of food shortage from the points of view of efficiency and equity. I will use activity trackers as an innovative means of collecting high quality data on work effort and thus overcome data limitations restricting the existing literature
Max ERC Funding
1 499 313 €
Duration
Start date: 2018-08-01, End date: 2023-07-31
Project acronym AGESPACE
Project SPATIAL NAVIGATION – A UNIQUE WINDOW INTO MECHANISMS OF COGNITIVE AGEING
Researcher (PI) Thomas Wolbers
Host Institution (HI) DEUTSCHES ZENTRUM FUR NEURODEGENERATIVE ERKRANKUNGEN EV
Country Germany
Call Details Starting Grant (StG), SH4, ERC-2013-StG
Summary "By 2040, the European population aged over 60 will rise to 290 million, with those estimated to have dementia to 15.9 million. These dramatic demographic changes will pose huge challenges to health care systems, hence a detailed understanding of age-related cognitive and neurobiological changes is essential for helping elderly populations maintain independence. However, while existing research into cognitive ageing has carefully characterised developmental trajectories of functions such as memory and processing speed, one key cognitive ability that is particularly relevant to everyday functioning has received very little attention: In surveys, elderly people often report substantial declines in navigational abilities such as problems with finding one’s way in a novel environment. Such deficits severely restrict the mobility of elderly people and affect physical activity and social participation, but the underlying behavioural and neuronal mechanisms are poorly understood.
In this proposal, I will take a new approach to cognitive ageing that will bridge the gap between animal neurobiology and human cognitive neuroscience. With support from the ERC, I will create a team that will characterise the mechanisms mediating age-related changes in navigational processing in humans. The project will focus on three structures that perform key computations for spatial navigation, form a closely interconnected triadic network, and are particularly sensitive to the ageing process. Crucially, the team will employ an interdisciplinary methodological approach that combines mathematical modelling, brain imaging and innovative data analysis techniques with novel virtual environment technology, which allows for rigorous testing of predictions derived from animal findings. Finally, the proposal also incorporates a translational project aimed at improving spatial mnemonic functioning with a behavioural intervention, which provides a direct test of functional relevance and societal impact."
Summary
"By 2040, the European population aged over 60 will rise to 290 million, with those estimated to have dementia to 15.9 million. These dramatic demographic changes will pose huge challenges to health care systems, hence a detailed understanding of age-related cognitive and neurobiological changes is essential for helping elderly populations maintain independence. However, while existing research into cognitive ageing has carefully characterised developmental trajectories of functions such as memory and processing speed, one key cognitive ability that is particularly relevant to everyday functioning has received very little attention: In surveys, elderly people often report substantial declines in navigational abilities such as problems with finding one’s way in a novel environment. Such deficits severely restrict the mobility of elderly people and affect physical activity and social participation, but the underlying behavioural and neuronal mechanisms are poorly understood.
In this proposal, I will take a new approach to cognitive ageing that will bridge the gap between animal neurobiology and human cognitive neuroscience. With support from the ERC, I will create a team that will characterise the mechanisms mediating age-related changes in navigational processing in humans. The project will focus on three structures that perform key computations for spatial navigation, form a closely interconnected triadic network, and are particularly sensitive to the ageing process. Crucially, the team will employ an interdisciplinary methodological approach that combines mathematical modelling, brain imaging and innovative data analysis techniques with novel virtual environment technology, which allows for rigorous testing of predictions derived from animal findings. Finally, the proposal also incorporates a translational project aimed at improving spatial mnemonic functioning with a behavioural intervention, which provides a direct test of functional relevance and societal impact."
Max ERC Funding
1 318 990 €
Duration
Start date: 2014-01-01, End date: 2018-12-31
Project acronym AGRISCENTS
Project Scents and sensibility in agriculture: exploiting specificity in herbivore- and pathogen-induced plant volatiles for real-time crop monitoring
Researcher (PI) Theodoor Turlings
Host Institution (HI) UNIVERSITE DE NEUCHATEL
Country Switzerland
Call Details Advanced Grant (AdG), LS9, ERC-2017-ADG
Summary Plants typically release large quantities of volatiles in response to attack by herbivores or pathogens. I may claim to have contributed to various breakthroughs in this research field, including the discovery that the volatile blends induced by different attackers are astonishingly specific, resulting in characteristic, readily distinguishable odour blends. Using maize as our model plant, I wish to take several leaps forward in our understanding of this signal specificity and use this knowledge to develop sensors for the real-time detection of crop pests and diseases. For this, three interconnected work-packages will aim to:
• Develop chemical analytical techniques and statistical models to decipher the odorous vocabulary of plants, and to create a complete inventory of “odour-prints” for a wide range of herbivore-plant and pathogen-plant combinations, including simultaneous infestations.
• Develop and optimize nano-mechanical sensors for the detection of specific plant volatile mixtures. For this, we will initially adapt a prototype sensor that has been successfully developed for the detection of cancer-related volatiles in human breath.
• Genetically manipulate maize plants to release a unique blend of root-produced volatiles upon herbivory. For this, we will engineer gene cassettes that combine recently identified P450 (CYP) genes from poplar with inducible, root-specific promoters from maize. This will result in maize plants that, in response to pest attack, release easy-to-detect aldoximes and nitriles from their roots.
In short, by investigating and manipulating the specificity of inducible odour blends we will generate the necessary knowhow to develop a novel odour-detection device. The envisioned sensor technology will permit real-time monitoring of the pests and enable farmers to apply crop protection treatments at the right time and in the right place.
Summary
Plants typically release large quantities of volatiles in response to attack by herbivores or pathogens. I may claim to have contributed to various breakthroughs in this research field, including the discovery that the volatile blends induced by different attackers are astonishingly specific, resulting in characteristic, readily distinguishable odour blends. Using maize as our model plant, I wish to take several leaps forward in our understanding of this signal specificity and use this knowledge to develop sensors for the real-time detection of crop pests and diseases. For this, three interconnected work-packages will aim to:
• Develop chemical analytical techniques and statistical models to decipher the odorous vocabulary of plants, and to create a complete inventory of “odour-prints” for a wide range of herbivore-plant and pathogen-plant combinations, including simultaneous infestations.
• Develop and optimize nano-mechanical sensors for the detection of specific plant volatile mixtures. For this, we will initially adapt a prototype sensor that has been successfully developed for the detection of cancer-related volatiles in human breath.
• Genetically manipulate maize plants to release a unique blend of root-produced volatiles upon herbivory. For this, we will engineer gene cassettes that combine recently identified P450 (CYP) genes from poplar with inducible, root-specific promoters from maize. This will result in maize plants that, in response to pest attack, release easy-to-detect aldoximes and nitriles from their roots.
In short, by investigating and manipulating the specificity of inducible odour blends we will generate the necessary knowhow to develop a novel odour-detection device. The envisioned sensor technology will permit real-time monitoring of the pests and enable farmers to apply crop protection treatments at the right time and in the right place.
Max ERC Funding
2 498 086 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym AltCheM
Project In vivo functional screens to decipher mechanisms of stochastically- and mutationally-induced chemoresistance in Acute Myeloid Leukemia
Researcher (PI) Alexandre PUISSANT
Host Institution (HI) INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE
Country France
Call Details Starting Grant (StG), LS4, ERC-2017-STG
Summary Acute Myeloid Leukemia (AML), the most common leukemia diagnosed in adults, represents the paradigm of resistance to front-line therapies in hematology. Indeed, AML is so genetically complex that only few targeted therapies are currently tested in this disease and chemotherapy remains the only standard treatment for AML since the past four decades. Despite an initial sustained remission achieved by chemotherapeutic agents, almost all patients relapse with a chemoresistant minimal residual disease (MRD). The goal of my proposal is to characterize the still poorly understood biological mechanisms underlying persistence and emergence of MRD.
MRD is the consequence of the re-expansion of leukemia-initiating cells that are intrinsically more resistant to chemotherapy. This cell fraction may be stochastically more prone to survive front-line therapy regardless of their mutational status (the stochastic model), or genetically predetermined to resist by virtue of a collection of chemoprotective mutations (the mutational model).
I have already generated in mice, by consecutive rounds of chemotherapy, a stochastic MLL-AF9-driven chemoresistance model that I examined by RNA-sequencing. I will pursue the comprehensive cell autonomous and cell non-autonomous characterization of this chemoresistant AML disease using whole-exome and ChIP-sequencing.
To establish a mutationally-induced chemoresistant mouse model, I will conduct an innovative in vivo screen using pooled mutant open reading frame and shRNA libraries in order to predict which combinations of mutations, among those already known in AML, actively promote chemoresistance.
Finally, by combining genomic profiling and in vivo shRNA screening experiments, I will decipher the molecular mechanisms and identify the functional effectors of these two modes of resistance. Ultimately, I will then be able to firmly establish the fundamental relevance of the stochastic and/or the mutational model of chemoresistance for MRD genesis.
Summary
Acute Myeloid Leukemia (AML), the most common leukemia diagnosed in adults, represents the paradigm of resistance to front-line therapies in hematology. Indeed, AML is so genetically complex that only few targeted therapies are currently tested in this disease and chemotherapy remains the only standard treatment for AML since the past four decades. Despite an initial sustained remission achieved by chemotherapeutic agents, almost all patients relapse with a chemoresistant minimal residual disease (MRD). The goal of my proposal is to characterize the still poorly understood biological mechanisms underlying persistence and emergence of MRD.
MRD is the consequence of the re-expansion of leukemia-initiating cells that are intrinsically more resistant to chemotherapy. This cell fraction may be stochastically more prone to survive front-line therapy regardless of their mutational status (the stochastic model), or genetically predetermined to resist by virtue of a collection of chemoprotective mutations (the mutational model).
I have already generated in mice, by consecutive rounds of chemotherapy, a stochastic MLL-AF9-driven chemoresistance model that I examined by RNA-sequencing. I will pursue the comprehensive cell autonomous and cell non-autonomous characterization of this chemoresistant AML disease using whole-exome and ChIP-sequencing.
To establish a mutationally-induced chemoresistant mouse model, I will conduct an innovative in vivo screen using pooled mutant open reading frame and shRNA libraries in order to predict which combinations of mutations, among those already known in AML, actively promote chemoresistance.
Finally, by combining genomic profiling and in vivo shRNA screening experiments, I will decipher the molecular mechanisms and identify the functional effectors of these two modes of resistance. Ultimately, I will then be able to firmly establish the fundamental relevance of the stochastic and/or the mutational model of chemoresistance for MRD genesis.
Max ERC Funding
1 500 000 €
Duration
Start date: 2018-03-01, End date: 2023-02-28
Project acronym AMAIZE
Project Atlas of leaf growth regulatory networks in MAIZE
Researcher (PI) Dirk, Gustaaf Inze
Host Institution (HI) VIB VZW
Country Belgium
Call Details Advanced Grant (AdG), LS9, ERC-2013-ADG
Summary "Understanding how organisms regulate size is one of the most fascinating open questions in biology. The aim of the AMAIZE project is to unravel how growth of maize leaves is controlled. Maize leaf development offers great opportunities to study the dynamics of growth regulatory networks, essentially because leaf development is a linear system with cell division at the leaf basis followed by cell expansion and maturation. Furthermore, the growth zone is relatively large allowing easy access of tissues at different positions. Four different perturbations of maize leaf size will be analyzed with cellular resolution: wild-type and plants having larger leaves (as a consequence of GA20OX1 overexpression), both grown under either well-watered or mild drought conditions. Firstly, a 3D cellular map of the growth zone of the fourth leaf will be made. RNA-SEQ of three different tissues (adaxial- and abaxial epidermis; mesophyll) obtained by laser dissection with an interval of 2.5 mm along the growth zone will allow for the analysis of the transcriptome with high resolution. Additionally, the composition of fifty selected growth regulatory protein complexes and DNA targets of transcription factors will be determined with an interval of 5 mm along the growth zone. Computational methods will be used to construct comprehensive integrative maps of the cellular and molecular processes occurring along the growth zone. Finally, selected regulatory nodes of the growth regulatory networks will be further functionally analyzed using a transactivation system in maize.
AMAIZE opens up new perspectives for the identification of optimal growth regulatory networks that can be selected for by advanced breeding or for which more robust variants (e.g. reduced susceptibility to drought) can be obtained through genetic engineering. The ability to improve the growth of maize and in analogy other cereals could have a high impact in providing food security"
Summary
"Understanding how organisms regulate size is one of the most fascinating open questions in biology. The aim of the AMAIZE project is to unravel how growth of maize leaves is controlled. Maize leaf development offers great opportunities to study the dynamics of growth regulatory networks, essentially because leaf development is a linear system with cell division at the leaf basis followed by cell expansion and maturation. Furthermore, the growth zone is relatively large allowing easy access of tissues at different positions. Four different perturbations of maize leaf size will be analyzed with cellular resolution: wild-type and plants having larger leaves (as a consequence of GA20OX1 overexpression), both grown under either well-watered or mild drought conditions. Firstly, a 3D cellular map of the growth zone of the fourth leaf will be made. RNA-SEQ of three different tissues (adaxial- and abaxial epidermis; mesophyll) obtained by laser dissection with an interval of 2.5 mm along the growth zone will allow for the analysis of the transcriptome with high resolution. Additionally, the composition of fifty selected growth regulatory protein complexes and DNA targets of transcription factors will be determined with an interval of 5 mm along the growth zone. Computational methods will be used to construct comprehensive integrative maps of the cellular and molecular processes occurring along the growth zone. Finally, selected regulatory nodes of the growth regulatory networks will be further functionally analyzed using a transactivation system in maize.
AMAIZE opens up new perspectives for the identification of optimal growth regulatory networks that can be selected for by advanced breeding or for which more robust variants (e.g. reduced susceptibility to drought) can be obtained through genetic engineering. The ability to improve the growth of maize and in analogy other cereals could have a high impact in providing food security"
Max ERC Funding
2 418 429 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym AMBH
Project Ancient Music Beyond Hellenisation
Researcher (PI) Stefan HAGEL
Host Institution (HI) OESTERREICHISCHE AKADEMIE DER WISSENSCHAFTEN
Country Austria
Call Details Advanced Grant (AdG), SH5, ERC-2017-ADG
Summary From medieval times, Arabic as well as European music was analysed in terms that were inherited from Classical Antiquity and had thus developed in a very different music culture. In spite of recent breakthroughs in the understanding of the latter, whose technicalities we access not only through texts and iconography, but also through instrument finds and surviving notated melodies, its relation to music traditions known from later periods and different places is almost uncharted territory.
The present project explores relations between Hellenic/Hellenistic music as pervaded the theatres and concert halls throughout and beyond the Roman empire, Near Eastern traditions – from the diatonic system emerging from cuneiform sources to the flourishing musical world of the caliphates – and, as far as possible, African musical life south of Egypt as well – a region that maintained close ties both with the Hellenised culture of its northern neighbours and with the Arabian Peninsula.
On the one hand, this demands collaboration between Classical Philology and Arabic Studies, extending methods recently developed within music archaeological research related to the Classical Mediterranean. Arabic writings need to be examined in close reading, using recent insights into the interplay between ancient music theory and practice, in order to segregate the influence of Greek thinking from ideas and facts that must relate to contemporaneous ‘Arabic’ music-making. In this way we hope better to define the relation of this tradition to the ‘Classical world’, potentially breaking free of Orientalising bias informing modern views. On the other hand, the study and reconstruction, virtual and material, of wind instruments of Hellenistic pedigree but found outside the confinements of the Hellenistic ‘heartlands’ may provide evidence of ‘foreign’ tonality employed in those regions – specifically the royal city of Meroë in modern Sudan and the Oxus Temple in modern Tajikistan.
Summary
From medieval times, Arabic as well as European music was analysed in terms that were inherited from Classical Antiquity and had thus developed in a very different music culture. In spite of recent breakthroughs in the understanding of the latter, whose technicalities we access not only through texts and iconography, but also through instrument finds and surviving notated melodies, its relation to music traditions known from later periods and different places is almost uncharted territory.
The present project explores relations between Hellenic/Hellenistic music as pervaded the theatres and concert halls throughout and beyond the Roman empire, Near Eastern traditions – from the diatonic system emerging from cuneiform sources to the flourishing musical world of the caliphates – and, as far as possible, African musical life south of Egypt as well – a region that maintained close ties both with the Hellenised culture of its northern neighbours and with the Arabian Peninsula.
On the one hand, this demands collaboration between Classical Philology and Arabic Studies, extending methods recently developed within music archaeological research related to the Classical Mediterranean. Arabic writings need to be examined in close reading, using recent insights into the interplay between ancient music theory and practice, in order to segregate the influence of Greek thinking from ideas and facts that must relate to contemporaneous ‘Arabic’ music-making. In this way we hope better to define the relation of this tradition to the ‘Classical world’, potentially breaking free of Orientalising bias informing modern views. On the other hand, the study and reconstruction, virtual and material, of wind instruments of Hellenistic pedigree but found outside the confinements of the Hellenistic ‘heartlands’ may provide evidence of ‘foreign’ tonality employed in those regions – specifically the royal city of Meroë in modern Sudan and the Oxus Temple in modern Tajikistan.
Max ERC Funding
775 959 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym ANADEL
Project Analysis of Geometrical Effects on Dispersive Equations
Researcher (PI) Danela Oana IVANOVICI
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Country France
Call Details Starting Grant (StG), PE1, ERC-2017-STG
Summary We are concerned with localization properties of solutions to hyperbolic PDEs, especially problems with a geometric component: how do boundaries and heterogeneous media influence spreading and concentration of solutions. While our first focus is on wave and Schrödinger equations on manifolds with boundary, strong connections exist with phase space localization for (clusters of) eigenfunctions, which are of independent interest. Motivations come from nonlinear dispersive models (in physically relevant settings), properties of eigenfunctions in quantum chaos (related to both physics of optic fiber design as well as number theoretic questions), or harmonic analysis on manifolds.
Waves propagation in real life physics occur in media which are neither homogeneous or spatially infinity. The birth of radar/sonar technologies (and the raise of computed tomography) greatly motivated numerous developments in microlocal analysis and the linear theory. Only recently toy nonlinear models have been studied on a curved background, sometimes compact or rough. Understanding how to extend such tools, dealing with wave dispersion or focusing, will allow us to significantly progress in our mathematical understanding of physically relevant models. There, boundaries appear naturally and most earlier developments related to propagation of singularities in this context have limited scope with respect to crucial dispersive effects. Despite great progress over the last decade, driven by the study of quasilinear equations, our knowledge is still very limited. Going beyond this recent activity requires new tools whose development is at the heart of this proposal, including good approximate solutions (parametrices) going over arbitrarily large numbers of caustics, sharp pointwise bounds on Green functions, development of efficient wave packets methods, quantitative refinements of propagation of singularities (with direct applications in control theory), only to name a few important ones.
Summary
We are concerned with localization properties of solutions to hyperbolic PDEs, especially problems with a geometric component: how do boundaries and heterogeneous media influence spreading and concentration of solutions. While our first focus is on wave and Schrödinger equations on manifolds with boundary, strong connections exist with phase space localization for (clusters of) eigenfunctions, which are of independent interest. Motivations come from nonlinear dispersive models (in physically relevant settings), properties of eigenfunctions in quantum chaos (related to both physics of optic fiber design as well as number theoretic questions), or harmonic analysis on manifolds.
Waves propagation in real life physics occur in media which are neither homogeneous or spatially infinity. The birth of radar/sonar technologies (and the raise of computed tomography) greatly motivated numerous developments in microlocal analysis and the linear theory. Only recently toy nonlinear models have been studied on a curved background, sometimes compact or rough. Understanding how to extend such tools, dealing with wave dispersion or focusing, will allow us to significantly progress in our mathematical understanding of physically relevant models. There, boundaries appear naturally and most earlier developments related to propagation of singularities in this context have limited scope with respect to crucial dispersive effects. Despite great progress over the last decade, driven by the study of quasilinear equations, our knowledge is still very limited. Going beyond this recent activity requires new tools whose development is at the heart of this proposal, including good approximate solutions (parametrices) going over arbitrarily large numbers of caustics, sharp pointwise bounds on Green functions, development of efficient wave packets methods, quantitative refinements of propagation of singularities (with direct applications in control theory), only to name a few important ones.
Max ERC Funding
1 293 763 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym AngioMature
Project Mechanisms of vascular maturation and quiescence during development, homeostasis and aging
Researcher (PI) Hellmut AUGUSTIN
Host Institution (HI) RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG
Country Germany
Call Details Advanced Grant (AdG), LS4, ERC-2017-ADG
Summary Angiogenesis research has focused on the sprouting of new capillaries. The mechanisms of vessel maturation are much less well understood. Yet, the maintenance of a mature, quiescent, and organotypically-differentiated layer of endothelial cells (ECs) lining the inside of all blood vessels is vital for human health. The goal of ANGIOMATURE is to identify, validate, and implement novel mechanisms of vascular maturation and organotypic EC differentiation that are active during development, maintenance of vascular stability in adults, and undergo changes in aging. We recently identified previously unrecognized gene expression signatures of vascular maturation in a genome-wide screen of ECs isolated from newborn and adult mice. Epigenetic mechanisms were identified that control the EC transcriptome through gain and loss of DNA methylation as well as EC differentiation and signaling specification. These findings pave the way for groundbreaking novel opportunities to study vascular maturation. By characterizing functionally diverse types of blood vessels, including continuous ECs in lung and brain and sinusoidal ECs in liver and bone marrow, the ANGIOMATURE project will (1) determine up to single cell resolution the transcriptional and epigenetic program(s) of vascular maturation and organotypic differentiation during adolescence, (2) analyze the functional consequences of such program(s) in differentiated ECs and their adaptation to challenge, and (3) study changes of maturation and differentiation program(s) and vascular responses during aging. We will towards this end employ an interdisciplinary matrix of approaches involving omics, systems biology, conditional gene targeting, organoid cell culture, and experimental pathology to create a high-resolution structural and functional organotypic angioarchitectural map. The project will thereby yield transformative mechanistic insights into vital biological processes that are most important for human health and healthy aging.
Summary
Angiogenesis research has focused on the sprouting of new capillaries. The mechanisms of vessel maturation are much less well understood. Yet, the maintenance of a mature, quiescent, and organotypically-differentiated layer of endothelial cells (ECs) lining the inside of all blood vessels is vital for human health. The goal of ANGIOMATURE is to identify, validate, and implement novel mechanisms of vascular maturation and organotypic EC differentiation that are active during development, maintenance of vascular stability in adults, and undergo changes in aging. We recently identified previously unrecognized gene expression signatures of vascular maturation in a genome-wide screen of ECs isolated from newborn and adult mice. Epigenetic mechanisms were identified that control the EC transcriptome through gain and loss of DNA methylation as well as EC differentiation and signaling specification. These findings pave the way for groundbreaking novel opportunities to study vascular maturation. By characterizing functionally diverse types of blood vessels, including continuous ECs in lung and brain and sinusoidal ECs in liver and bone marrow, the ANGIOMATURE project will (1) determine up to single cell resolution the transcriptional and epigenetic program(s) of vascular maturation and organotypic differentiation during adolescence, (2) analyze the functional consequences of such program(s) in differentiated ECs and their adaptation to challenge, and (3) study changes of maturation and differentiation program(s) and vascular responses during aging. We will towards this end employ an interdisciplinary matrix of approaches involving omics, systems biology, conditional gene targeting, organoid cell culture, and experimental pathology to create a high-resolution structural and functional organotypic angioarchitectural map. The project will thereby yield transformative mechanistic insights into vital biological processes that are most important for human health and healthy aging.
Max ERC Funding
2 338 918 €
Duration
Start date: 2018-08-01, End date: 2023-07-31
Project acronym ANTILEAK
Project Development of antagonists of vascular leakage
Researcher (PI) Pipsa SAHARINEN
Host Institution (HI) HELSINGIN YLIOPISTO
Country Finland
Call Details Consolidator Grant (CoG), LS4, ERC-2017-COG
Summary Dysregulation of capillary permeability is a severe problem in critically ill patients, but the mechanisms involved are poorly understood. Further, there are no targeted therapies to stabilize leaky vessels in various common, potentially fatal diseases, such as systemic inflammation and sepsis, which affect millions of people annually. Although a multitude of signals that stimulate opening of endothelial cell-cell junctions leading to permeability have been characterized using cellular and in vivo models, approaches to reverse the harmful process of capillary leakage in disease conditions are yet to be identified. I propose to explore a novel autocrine endothelial permeability regulatory system as a potentially universal mechanism that antagonizes vascular stabilizing ques and sustains vascular leakage in inflammation. My group has identified inflammation-induced mechanisms that switch vascular stabilizing factors into molecules that destabilize vascular barriers, and identified tools to prevent the barrier disruption. Building on these discoveries, my group will use mouse genetics, structural biology and innovative, systematic antibody development coupled with gene editing and gene silencing technology, in order to elucidate mechanisms of vascular barrier breakdown and repair in systemic inflammation. The expected outcomes include insights into endothelial cell signaling and permeability regulation, and preclinical proof-of-concept antibodies to control endothelial activation and vascular leakage in systemic inflammation and sepsis models. Ultimately, the new knowledge and preclinical tools developed in this project may facilitate future development of targeted approaches against vascular leakage.
Summary
Dysregulation of capillary permeability is a severe problem in critically ill patients, but the mechanisms involved are poorly understood. Further, there are no targeted therapies to stabilize leaky vessels in various common, potentially fatal diseases, such as systemic inflammation and sepsis, which affect millions of people annually. Although a multitude of signals that stimulate opening of endothelial cell-cell junctions leading to permeability have been characterized using cellular and in vivo models, approaches to reverse the harmful process of capillary leakage in disease conditions are yet to be identified. I propose to explore a novel autocrine endothelial permeability regulatory system as a potentially universal mechanism that antagonizes vascular stabilizing ques and sustains vascular leakage in inflammation. My group has identified inflammation-induced mechanisms that switch vascular stabilizing factors into molecules that destabilize vascular barriers, and identified tools to prevent the barrier disruption. Building on these discoveries, my group will use mouse genetics, structural biology and innovative, systematic antibody development coupled with gene editing and gene silencing technology, in order to elucidate mechanisms of vascular barrier breakdown and repair in systemic inflammation. The expected outcomes include insights into endothelial cell signaling and permeability regulation, and preclinical proof-of-concept antibodies to control endothelial activation and vascular leakage in systemic inflammation and sepsis models. Ultimately, the new knowledge and preclinical tools developed in this project may facilitate future development of targeted approaches against vascular leakage.
Max ERC Funding
1 999 770 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym APARTHEID-STOPS
Project Apartheid -- The Global Itinerary: South African Cultural Formations in Transnational Circulation, 1948-1990
Researcher (PI) Louise Bethlehem
Host Institution (HI) THE HEBREW UNIVERSITY OF JERUSALEM
Country Israel
Call Details Consolidator Grant (CoG), SH5, ERC-2013-CoG
Summary This proposal proceeds from an anomaly. Apartheid routinely breached the separation that it names. Whereas the South African regime was deeply isolationist in international terms, new research links it to the Cold War and decolonization. Yet this trend does not consider sufficiently that the global contest over the meaning of apartheid and resistance to it occurs on the terrain of culture. My project argues that studying the global circulation of South African cultural formations in the apartheid era provides novel historiographic leverage over Western liberalism during the Cold War. It recasts apartheid as an apparatus of transnational cultural production, turning existing historiography inside out. This study seeks:
• To provide the first systematic account of the deterritorialization of “apartheid”—as political signifier and as apparatus generating circuits of transnational cultural production.
• To analyze these itinerant cultural formations across media and national borders, articulating new intersections.
• To map the itineraries of major South African exiles, where exile is taken to be a system of interlinked circuits of affiliation and cultural production.
• To revise the historiography of states other than South Africa through the lens of deterritorialized apartheid-era formations at their respective destinations.
• To show how apartheid reveals contradictions within Western liberalism during the Cold War, with special reference to racial inequality.
Methodologically, I introduce the model of thick convergence to analyze three periods:
1. Kliptown & Bandung: Novel possibilities, 1948-1960.
2. Sharpeville & Memphis: Drumming up resistance, 1960-1976.
3. From Soweto to Berlin: Spectacle at the barricades, 1976-1990.
Each explores a cultural dominant in the form of texts, soundscapes or photographs. My work stands at the frontier of transnational research, furnishing powerful new insights into why South Africa matters on the stage of global history.
Summary
This proposal proceeds from an anomaly. Apartheid routinely breached the separation that it names. Whereas the South African regime was deeply isolationist in international terms, new research links it to the Cold War and decolonization. Yet this trend does not consider sufficiently that the global contest over the meaning of apartheid and resistance to it occurs on the terrain of culture. My project argues that studying the global circulation of South African cultural formations in the apartheid era provides novel historiographic leverage over Western liberalism during the Cold War. It recasts apartheid as an apparatus of transnational cultural production, turning existing historiography inside out. This study seeks:
• To provide the first systematic account of the deterritorialization of “apartheid”—as political signifier and as apparatus generating circuits of transnational cultural production.
• To analyze these itinerant cultural formations across media and national borders, articulating new intersections.
• To map the itineraries of major South African exiles, where exile is taken to be a system of interlinked circuits of affiliation and cultural production.
• To revise the historiography of states other than South Africa through the lens of deterritorialized apartheid-era formations at their respective destinations.
• To show how apartheid reveals contradictions within Western liberalism during the Cold War, with special reference to racial inequality.
Methodologically, I introduce the model of thick convergence to analyze three periods:
1. Kliptown & Bandung: Novel possibilities, 1948-1960.
2. Sharpeville & Memphis: Drumming up resistance, 1960-1976.
3. From Soweto to Berlin: Spectacle at the barricades, 1976-1990.
Each explores a cultural dominant in the form of texts, soundscapes or photographs. My work stands at the frontier of transnational research, furnishing powerful new insights into why South Africa matters on the stage of global history.
Max ERC Funding
1 861 238 €
Duration
Start date: 2014-05-01, End date: 2019-04-30
Project acronym APMPAL-HET
Project Asset Prices and Macro Policy when Agents Learn and are Heterogeneous
Researcher (PI) Albert MARCET TORRENS
Host Institution (HI) FUNDACIÓ MARKETS, ORGANIZATIONS AND VOTES IN ECONOMICS
Country Spain
Call Details Advanced Grant (AdG), SH1, ERC-2017-ADG
Summary Based on the APMPAL (ERC) project we continue to develop the frameworks of internal rationality (IR) and optimal signal extraction (OSE). Under IR investors/consumers behave rationally given their subjective beliefs about prices, these beliefs are compatible with data. Under OSE the government has partial information, it knows how policy influences observed variables and signal extraction.
We develop further the foundations of IR and OSE with an emphasis on heterogeneous agents. We study sovereign bond crisis and heterogeneity of beliefs in asset pricing models under IR, using survey data on expectations. Under IR the assets’ stochastic discount factor depends on the agents’ decision function and beliefs; this modifies some key asset pricing results. We extend OSE to models with state variables, forward-looking constraints and heterogeneity.
Under IR agents’ prior beliefs determine the effects of a policy reform. If the government does not observe prior beliefs it has partial information, thus OSE should be used to analyse policy reforms under IR.
If IR heterogeneous workers forecast their productivity either from their own wage or their neighbours’ in a network, low current wages discourage search and human capital accumulation, leading to low productivity. This can explain low development of a country or social exclusion of a group. Worker subsidies redistribute wealth and can increase productivity if they “teach” agents to exit a low-wage state.
We build DSGE models under IR for prediction and policy analysis. We develop time-series tools for predicting macro and asset market variables, using information available to the analyst, and we introduce non-linearities and survey expectations using insights from models under IR.
We study how IR and OSE change the view on macro policy issues such as tax smoothing, debt management, Taylor rule, level of inflation, fiscal/monetary policy coordination, factor taxation or redistribution.
Summary
Based on the APMPAL (ERC) project we continue to develop the frameworks of internal rationality (IR) and optimal signal extraction (OSE). Under IR investors/consumers behave rationally given their subjective beliefs about prices, these beliefs are compatible with data. Under OSE the government has partial information, it knows how policy influences observed variables and signal extraction.
We develop further the foundations of IR and OSE with an emphasis on heterogeneous agents. We study sovereign bond crisis and heterogeneity of beliefs in asset pricing models under IR, using survey data on expectations. Under IR the assets’ stochastic discount factor depends on the agents’ decision function and beliefs; this modifies some key asset pricing results. We extend OSE to models with state variables, forward-looking constraints and heterogeneity.
Under IR agents’ prior beliefs determine the effects of a policy reform. If the government does not observe prior beliefs it has partial information, thus OSE should be used to analyse policy reforms under IR.
If IR heterogeneous workers forecast their productivity either from their own wage or their neighbours’ in a network, low current wages discourage search and human capital accumulation, leading to low productivity. This can explain low development of a country or social exclusion of a group. Worker subsidies redistribute wealth and can increase productivity if they “teach” agents to exit a low-wage state.
We build DSGE models under IR for prediction and policy analysis. We develop time-series tools for predicting macro and asset market variables, using information available to the analyst, and we introduce non-linearities and survey expectations using insights from models under IR.
We study how IR and OSE change the view on macro policy issues such as tax smoothing, debt management, Taylor rule, level of inflation, fiscal/monetary policy coordination, factor taxation or redistribution.
Max ERC Funding
1 524 144 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym AQSER
Project Automorphic q-series and their application
Researcher (PI) Kathrin Bringmann
Host Institution (HI) UNIVERSITAET ZU KOELN
Country Germany
Call Details Starting Grant (StG), PE1, ERC-2013-StG
Summary This proposal aims to unravel mysteries at the frontier of number theory and other areas of mathematics and physics. The main focus will be to understand and exploit “modularity” of q-hypergeometric series. “Modular forms are functions on the complex plane that are inordinately symmetric.” (Mazur) The motivation comes from the wide-reaching applications of modularity in combinatorics, percolation, Lie theory, and physics (black holes).
The interplay between automorphic forms, q-series, and other areas of mathematics and physics is often two-sided. On the one hand, the other areas provide interesting examples of automorphic objects and predict their behavior. Sometimes these even motivate new classes of automorphic objects which have not been previously studied. On the other hand, knowing that certain generating functions are modular gives one access to deep theoretical tools to prove results in other areas. “Mathematics is a language, and we need that language to understand the physics of our universe.”(Ooguri) Understanding this interplay has attracted attention of researchers from a variety of areas. However, proofs of modularity of q-hypergeometric series currently fall far short of a comprehensive theory to describe the interplay between them and automorphic forms. A recent conjecture of W. Nahm relates the modularity of such series to K-theory. In this proposal I aim to fill this gap and provide a better understanding of this interplay by building a general structural framework enveloping these q-series. For this I will employ new kinds of automorphic objects and embed the functions of interest into bigger families
A successful outcome of the proposed research will open further horizons and also answer open questions, even those in other areas which were not addressed in this proposal; for example the new theory could be applied to better understand Donaldson invariants.
Summary
This proposal aims to unravel mysteries at the frontier of number theory and other areas of mathematics and physics. The main focus will be to understand and exploit “modularity” of q-hypergeometric series. “Modular forms are functions on the complex plane that are inordinately symmetric.” (Mazur) The motivation comes from the wide-reaching applications of modularity in combinatorics, percolation, Lie theory, and physics (black holes).
The interplay between automorphic forms, q-series, and other areas of mathematics and physics is often two-sided. On the one hand, the other areas provide interesting examples of automorphic objects and predict their behavior. Sometimes these even motivate new classes of automorphic objects which have not been previously studied. On the other hand, knowing that certain generating functions are modular gives one access to deep theoretical tools to prove results in other areas. “Mathematics is a language, and we need that language to understand the physics of our universe.”(Ooguri) Understanding this interplay has attracted attention of researchers from a variety of areas. However, proofs of modularity of q-hypergeometric series currently fall far short of a comprehensive theory to describe the interplay between them and automorphic forms. A recent conjecture of W. Nahm relates the modularity of such series to K-theory. In this proposal I aim to fill this gap and provide a better understanding of this interplay by building a general structural framework enveloping these q-series. For this I will employ new kinds of automorphic objects and embed the functions of interest into bigger families
A successful outcome of the proposed research will open further horizons and also answer open questions, even those in other areas which were not addressed in this proposal; for example the new theory could be applied to better understand Donaldson invariants.
Max ERC Funding
1 240 500 €
Duration
Start date: 2014-01-01, End date: 2019-04-30
Project acronym ARISTOTLE
Project Aristotle in the Italian Vernacular: Rethinking Renaissance and Early-Modern Intellectual History (c. 1400–c. 1650)
Researcher (PI) Marco Sgarbi
Host Institution (HI) UNIVERSITA CA' FOSCARI VENEZIA
Country Italy
Call Details Starting Grant (StG), SH5, ERC-2013-StG
Summary From the twelfth to the seventeenth century, Aristotle’s writings lay at the foundation of Western culture, providing a body of knowledge and a set of analytical tools applicable to all areas of human investigation. Scholars of the Renaissance have emphasized the remarkable longevity and versatility of Aristotelianism, but their attention has remained firmly, and almost exclusively, fixed on the transmission of Aristotle’s works in Latin. Scarce attention has gone to works in the vernacular. Nonetheless, several important Renaissance figures wished to make Aristotle’s works accessible and available outside the narrow circle of professional philosophers and university professors. They believed that his works could provide essential knowledge to a broad set of readers, and embarked on an intense programme of translation and commentary to see this happen. It is the argument of this project that vernacular Aristotelianism made fundamental contributions to the thought of the period, anticipating many of the features of early modern philosophy and contributing to a new encyclopaedia of knowledge. Our project aims to offer the first detailed and comprehensive study of the vernacular diffusion of Aristotle through a series of analyses of its main texts. We will thus study works that fall within the two main Renaissance divisions of speculative philosophy (metaphysics, natural philosophy, mathematics, and logic) and civil philosophy (ethics, politics, rhetoric, and poetics). We will give strong attention to the contextualization of the texts they examine, as is standard practice in the best kind of intellectual history, focusing on institutional contexts, reading publics, the value of the vernacular, new visions of knowledge and eclecticism. With the work of the PI, two professors, 5 post-docs and two PhD students we aim to make considerable advances in the understanding of both speculative and civil philosophy within vernacular Aristotelianism.
Summary
From the twelfth to the seventeenth century, Aristotle’s writings lay at the foundation of Western culture, providing a body of knowledge and a set of analytical tools applicable to all areas of human investigation. Scholars of the Renaissance have emphasized the remarkable longevity and versatility of Aristotelianism, but their attention has remained firmly, and almost exclusively, fixed on the transmission of Aristotle’s works in Latin. Scarce attention has gone to works in the vernacular. Nonetheless, several important Renaissance figures wished to make Aristotle’s works accessible and available outside the narrow circle of professional philosophers and university professors. They believed that his works could provide essential knowledge to a broad set of readers, and embarked on an intense programme of translation and commentary to see this happen. It is the argument of this project that vernacular Aristotelianism made fundamental contributions to the thought of the period, anticipating many of the features of early modern philosophy and contributing to a new encyclopaedia of knowledge. Our project aims to offer the first detailed and comprehensive study of the vernacular diffusion of Aristotle through a series of analyses of its main texts. We will thus study works that fall within the two main Renaissance divisions of speculative philosophy (metaphysics, natural philosophy, mathematics, and logic) and civil philosophy (ethics, politics, rhetoric, and poetics). We will give strong attention to the contextualization of the texts they examine, as is standard practice in the best kind of intellectual history, focusing on institutional contexts, reading publics, the value of the vernacular, new visions of knowledge and eclecticism. With the work of the PI, two professors, 5 post-docs and two PhD students we aim to make considerable advances in the understanding of both speculative and civil philosophy within vernacular Aristotelianism.
Max ERC Funding
1 483 180 €
Duration
Start date: 2014-05-01, End date: 2019-04-30
Project acronym ArsNova
Project European Ars Nova: Multilingual Poetry and Polyphonic Song in the Late Middle Ages
Researcher (PI) Maria Sofia LANNUTTI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI FIRENZE
Country Italy
Call Details Advanced Grant (AdG), SH5, ERC-2017-ADG
Summary Dante Alighieri at the dawn of the 1300s, as well as Eustache Deschamps almost a century later, conceived poetry as music in itself. But what happens with poetry when it is involved in the complex architecture of polyphony? The aim of this project is to study for the first time the corpus of 14th- and early 15th-century poetry set to music by Ars Nova polyphonists (more than 1200 texts). This repertoire gathers different poetic and musical traditions, as shown by the multilingual anthologies copied during the last years of the Schism. The choice of this corpus is motivated by two primary goals: a) to offer a new interpretation of its meaning and function in the cultural and historical context, one that may be then applied to the rest of coeval European lyric poetry; b) to overcome current disciplinary divisions in order to generate a new methodological balance between the project’s two main fields of interest (Comparative Literature / Musicology). Most Ars Nova polyphonists were directly associated with religious institutions. In many texts, the language of courtly love expresses the values of caritas, the theological virtue that guides wise rulers and leads them to desire the common good. Thus, the poetic figure of the lover becomes a metaphor for the political man, and love poetry can be used as a device for diplomacy, as well as for personal and institutional propaganda. From this unprecedented point of view, the project will develop three research lines in response to the following questions: 1) How is the relationship between poetry and music, and how is the dialogue between the different poetic and musical traditions viewed in relation to each context of production? 2) To what extent does Ars Nova poetry take part in the ‘soft power’ strategies exercised by the entire European political class of the time? 3) Is there a connection between the multilingualism of the manuscript tradition and the perception of the Ars Nova as a European, intercultural repertoire?
Summary
Dante Alighieri at the dawn of the 1300s, as well as Eustache Deschamps almost a century later, conceived poetry as music in itself. But what happens with poetry when it is involved in the complex architecture of polyphony? The aim of this project is to study for the first time the corpus of 14th- and early 15th-century poetry set to music by Ars Nova polyphonists (more than 1200 texts). This repertoire gathers different poetic and musical traditions, as shown by the multilingual anthologies copied during the last years of the Schism. The choice of this corpus is motivated by two primary goals: a) to offer a new interpretation of its meaning and function in the cultural and historical context, one that may be then applied to the rest of coeval European lyric poetry; b) to overcome current disciplinary divisions in order to generate a new methodological balance between the project’s two main fields of interest (Comparative Literature / Musicology). Most Ars Nova polyphonists were directly associated with religious institutions. In many texts, the language of courtly love expresses the values of caritas, the theological virtue that guides wise rulers and leads them to desire the common good. Thus, the poetic figure of the lover becomes a metaphor for the political man, and love poetry can be used as a device for diplomacy, as well as for personal and institutional propaganda. From this unprecedented point of view, the project will develop three research lines in response to the following questions: 1) How is the relationship between poetry and music, and how is the dialogue between the different poetic and musical traditions viewed in relation to each context of production? 2) To what extent does Ars Nova poetry take part in the ‘soft power’ strategies exercised by the entire European political class of the time? 3) Is there a connection between the multilingualism of the manuscript tradition and the perception of the Ars Nova as a European, intercultural repertoire?
Max ERC Funding
2 193 375 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym ART
Project Aberrant RNA degradation in T-cell leukemia
Researcher (PI) Jan Cools
Host Institution (HI) VIB VZW
Country Belgium
Call Details Consolidator Grant (CoG), LS4, ERC-2013-CoG
Summary "The deregulation of transcription is an important driver of leukemia development. Typically, transcription in leukemia cells is altered by the ectopic expression of transcription factors, by modulation of signaling pathways or by epigenetic changes. In addition to these factors that affect the production of RNAs, also changes in the processing of RNA (its splicing, transport and decay) may contribute to determine steady-state RNA levels in leukemia cells. Indeed, acquired mutations in various genes encoding RNA splice factors have recently been identified in myeloid leukemias and in chronic lymphocytic leukemia. In our study of T-cell acute lymphoblastic leukemia (T-ALL), we have identified mutations in RNA decay factors, including mutations in CNOT3, a protein believed to function in deadenylation of mRNA. It remains, however, unclear how mutations in RNA processing can contribute to the development of leukemia.
In this project, we aim to further characterize the mechanisms of RNA regulation in T-cell acute lymphoblastic leukemia (T-ALL) to obtain insight in the interplay between RNA generation and RNA decay and its role in leukemia development. We will study RNA decay in human T-ALL cells and mouse models of T-ALL, with the aim to identify the molecular consequences that contribute to leukemia development. We will use new technologies such as RNA-sequencing in combination with bromouridine labeling of RNA to measure RNA transcription and decay rates in a transcriptome wide manner allowing unbiased discoveries. These studies will be complemented with screens in Drosophila melanogaster using an established eye cancer model, previously also successfully used for the studies of T-ALL oncogenes.
This study will contribute to our understanding of the pathogenesis of T-ALL and may identify new targets for therapy of this leukemia. In addition, our study will provide a better understanding of how RNA processing is implicated in cancer development in general."
Summary
"The deregulation of transcription is an important driver of leukemia development. Typically, transcription in leukemia cells is altered by the ectopic expression of transcription factors, by modulation of signaling pathways or by epigenetic changes. In addition to these factors that affect the production of RNAs, also changes in the processing of RNA (its splicing, transport and decay) may contribute to determine steady-state RNA levels in leukemia cells. Indeed, acquired mutations in various genes encoding RNA splice factors have recently been identified in myeloid leukemias and in chronic lymphocytic leukemia. In our study of T-cell acute lymphoblastic leukemia (T-ALL), we have identified mutations in RNA decay factors, including mutations in CNOT3, a protein believed to function in deadenylation of mRNA. It remains, however, unclear how mutations in RNA processing can contribute to the development of leukemia.
In this project, we aim to further characterize the mechanisms of RNA regulation in T-cell acute lymphoblastic leukemia (T-ALL) to obtain insight in the interplay between RNA generation and RNA decay and its role in leukemia development. We will study RNA decay in human T-ALL cells and mouse models of T-ALL, with the aim to identify the molecular consequences that contribute to leukemia development. We will use new technologies such as RNA-sequencing in combination with bromouridine labeling of RNA to measure RNA transcription and decay rates in a transcriptome wide manner allowing unbiased discoveries. These studies will be complemented with screens in Drosophila melanogaster using an established eye cancer model, previously also successfully used for the studies of T-ALL oncogenes.
This study will contribute to our understanding of the pathogenesis of T-ALL and may identify new targets for therapy of this leukemia. In addition, our study will provide a better understanding of how RNA processing is implicated in cancer development in general."
Max ERC Funding
1 998 300 €
Duration
Start date: 2014-05-01, End date: 2019-04-30
Project acronym ASIBIA
Project Arctic sea ice, biogeochemistry and impacts on the atmosphere: Past, present, future
Researcher (PI) Roland Von Glasow
Host Institution (HI) UNIVERSITY OF EAST ANGLIA
Country United Kingdom
Call Details Consolidator Grant (CoG), PE10, ERC-2013-CoG
Summary The Arctic Ocean is a vast expanse of sea ice. Most of it is snow covered as are large continental regions for about half of the year. However, Global Change is arguably greatest in the Arctic, where temperatures have risen more than anywhere else in the last few decades. New record lows occurred in snow extent in June 2012 and sea ice extent in September 2012. Many observations show that widespread and sustained change is occurring in the Arctic driving this unique environmental system into a new state. This project focuses on the biogeochemical links between sea ice and snow and the composition and chemistry of the troposphere (the lowest ~10km of the atmosphere). This is an important topic because the concentrations of greenhouse gases and aerosol particles, which scatter sunlight directly and influence cloud properties, play key roles for our climate. Additionally, changes in the composition of the troposphere also affect the so-called oxidation capacity, the capability of the atmosphere to cleanse itself from pollutants.
This project aims to deliver a step change improvement in our quantitative understanding of chemical exchanges between ocean, sea ice, snow and the atmosphere in polar regions, especially the Arctic and of Arctic tropospheric chemistry. Answering these fundamental questions is essential to predict future change in the Arctic and globally. To this end a unique sea ice chamber will be constructed in the laboratory and used to quantify exchange processes in sea ice. Furthermore a hierarchy of numerical models will be used, operating at different spatial and temporal scales and degree of process description from a very detailed 1D to a global Earth System model. This will allow a breakthrough in our understanding of the importance of the changes for the composition and oxidation capacity of the atmosphere and climate and will allow us to calculate adjusted Greenhouse Warming Potentials that include these processes.
Summary
The Arctic Ocean is a vast expanse of sea ice. Most of it is snow covered as are large continental regions for about half of the year. However, Global Change is arguably greatest in the Arctic, where temperatures have risen more than anywhere else in the last few decades. New record lows occurred in snow extent in June 2012 and sea ice extent in September 2012. Many observations show that widespread and sustained change is occurring in the Arctic driving this unique environmental system into a new state. This project focuses on the biogeochemical links between sea ice and snow and the composition and chemistry of the troposphere (the lowest ~10km of the atmosphere). This is an important topic because the concentrations of greenhouse gases and aerosol particles, which scatter sunlight directly and influence cloud properties, play key roles for our climate. Additionally, changes in the composition of the troposphere also affect the so-called oxidation capacity, the capability of the atmosphere to cleanse itself from pollutants.
This project aims to deliver a step change improvement in our quantitative understanding of chemical exchanges between ocean, sea ice, snow and the atmosphere in polar regions, especially the Arctic and of Arctic tropospheric chemistry. Answering these fundamental questions is essential to predict future change in the Arctic and globally. To this end a unique sea ice chamber will be constructed in the laboratory and used to quantify exchange processes in sea ice. Furthermore a hierarchy of numerical models will be used, operating at different spatial and temporal scales and degree of process description from a very detailed 1D to a global Earth System model. This will allow a breakthrough in our understanding of the importance of the changes for the composition and oxidation capacity of the atmosphere and climate and will allow us to calculate adjusted Greenhouse Warming Potentials that include these processes.
Max ERC Funding
1 192 911 €
Duration
Start date: 2014-05-01, End date: 2016-09-30
Project acronym AUGURY
Project Reconstructing Earth’s mantle convection
Researcher (PI) Nicolas Coltice
Host Institution (HI) UNIVERSITE LYON 1 CLAUDE BERNARD
Country France
Call Details Consolidator Grant (CoG), PE10, ERC-2013-CoG
Summary Knowledge of the state of the Earth mantle and its temporal evolution is fundamental to a variety of disciplines in Earth Sciences, from the internal dynamics to its many expressions in the geological record (postglacial rebound, sea level change, ore deposit, tectonics or geomagnetic reversals). Mantle convection theory is the centerpiece to unravel the present and past state of the mantle. For the past 40 years considerable efforts have been made to improve the quality of numerical models of mantle convection. However, they are still sparsely used to estimate the convective history of the solid Earth, in comparison to ocean or atmospheric models for weather and climate prediction. The main shortcoming is their inability to successfully produce Earth-like seafloor spreading and continental drift self-consistently. Recent convection models have begun to successfully predict these processes (Coltice et al., Science 336, 335-33, 2012). Such breakthrough opens the opportunity to combine high-level data assimilation methodologies and convection models together with advanced tectonic datasets to retrieve Earth's mantle history. The scope of this project is to produce a new generation of tectonic and convection reconstructions, which are key to improve our understanding and knowledge of the evolution of the solid Earth. The development of sustainable high performance numerical models will set new standards for geodynamic data assimilation. The outcome of the AUGURY project will be a new generation of models crucial to a wide variety of disciplines.
Summary
Knowledge of the state of the Earth mantle and its temporal evolution is fundamental to a variety of disciplines in Earth Sciences, from the internal dynamics to its many expressions in the geological record (postglacial rebound, sea level change, ore deposit, tectonics or geomagnetic reversals). Mantle convection theory is the centerpiece to unravel the present and past state of the mantle. For the past 40 years considerable efforts have been made to improve the quality of numerical models of mantle convection. However, they are still sparsely used to estimate the convective history of the solid Earth, in comparison to ocean or atmospheric models for weather and climate prediction. The main shortcoming is their inability to successfully produce Earth-like seafloor spreading and continental drift self-consistently. Recent convection models have begun to successfully predict these processes (Coltice et al., Science 336, 335-33, 2012). Such breakthrough opens the opportunity to combine high-level data assimilation methodologies and convection models together with advanced tectonic datasets to retrieve Earth's mantle history. The scope of this project is to produce a new generation of tectonic and convection reconstructions, which are key to improve our understanding and knowledge of the evolution of the solid Earth. The development of sustainable high performance numerical models will set new standards for geodynamic data assimilation. The outcome of the AUGURY project will be a new generation of models crucial to a wide variety of disciplines.
Max ERC Funding
1 994 000 €
Duration
Start date: 2014-03-01, End date: 2020-02-29
Project acronym AUTISMS
Project Decomposing Heterogeneity in Autism Spectrum Disorders
Researcher (PI) Michael LOMBARDO
Host Institution (HI) FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA
Country Italy
Call Details Starting Grant (StG), SH4, ERC-2017-STG
Summary Autism spectrum disorders (ASD) affect 1-2% of the population and are a major public health issue. Heterogeneity between affected ASD individuals is substantial both at clinical and etiological levels, thus warranting the idea that we should begin characterizing the ASD population as multiple kinds of ‘autisms’. Without an advanced understanding of how heterogeneity manifests in ASD, it is likely that we will not make pronounced progress towards translational research goals that can have real impact on patient’s lives. This research program is focused on decomposing heterogeneity in ASD at multiple levels of analysis. Using multiple ‘big data’ resources that are both ‘broad’ (large sample size) and ‘deep’ (multiple levels of analysis measured within each individual), I will examine how known variables such as sex, early language development, early social preferences, and early intervention treatment response may be important stratification variables that differentiate ASD subgroups at phenotypic, neural systems/circuits, and genomic levels of analysis. In addition to examining known stratification variables, this research program will engage in data-driven discovery via application of advanced unsupervised computational techniques that can highlight novel multivariate distinctions in the data that signal important ASD subgroups. These data-driven approaches may hold promise for discovering novel ASD subgroups at biological and phenotypic levels of analysis that may be valuable for prioritization in future work developing personalized assessment, monitoring, and treatment strategies for subsets of the ASD population. By enhancing the precision of our understanding about multiple subtypes of ASD this work will help accelerate progress towards the ideals of personalized medicine and help to reduce the burden of ASD on individuals, families, and society.
Summary
Autism spectrum disorders (ASD) affect 1-2% of the population and are a major public health issue. Heterogeneity between affected ASD individuals is substantial both at clinical and etiological levels, thus warranting the idea that we should begin characterizing the ASD population as multiple kinds of ‘autisms’. Without an advanced understanding of how heterogeneity manifests in ASD, it is likely that we will not make pronounced progress towards translational research goals that can have real impact on patient’s lives. This research program is focused on decomposing heterogeneity in ASD at multiple levels of analysis. Using multiple ‘big data’ resources that are both ‘broad’ (large sample size) and ‘deep’ (multiple levels of analysis measured within each individual), I will examine how known variables such as sex, early language development, early social preferences, and early intervention treatment response may be important stratification variables that differentiate ASD subgroups at phenotypic, neural systems/circuits, and genomic levels of analysis. In addition to examining known stratification variables, this research program will engage in data-driven discovery via application of advanced unsupervised computational techniques that can highlight novel multivariate distinctions in the data that signal important ASD subgroups. These data-driven approaches may hold promise for discovering novel ASD subgroups at biological and phenotypic levels of analysis that may be valuable for prioritization in future work developing personalized assessment, monitoring, and treatment strategies for subsets of the ASD population. By enhancing the precision of our understanding about multiple subtypes of ASD this work will help accelerate progress towards the ideals of personalized medicine and help to reduce the burden of ASD on individuals, families, and society.
Max ERC Funding
1 499 444 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym BabyRhythm
Project Tuned to the Rhythm: How Prenatally and Postnatally Heard Speech Prosody Lays the Foundations for Language Learning
Researcher (PI) Judit Gervain
Host Institution (HI) UNIVERSITA DEGLI STUDI DI PADOVA
Country Italy
Call Details Consolidator Grant (CoG), SH4, ERC-2017-COG
Summary The role of experience in language acquisition has been the focus of heated theoretical debates, between proponents of nativist views according to whom experience plays a minimal role and advocates of empiricist positions holding that experience, be it linguistic, social or other, is sufficient to account for language acquisition. Despite more than a half century of dedicated research efforts, the problem is not solved.
The present project brings a novel perspective to this debate, combining hitherto unconnected research in language acquisition with recent advances in the neurophysiology of hearing and speech processing. Specifically, it claims that prenatal experience with speech, which mainly consists of prosody due to the filtering effects of the womb, is what shapes the speech perception system, laying the foundations of subsequent language learning. Prosody is thus the cue that links genetically endowed predispositions present in the initial state with language experience. The proposal links the behavioral and neural levels, arguing that the hierarchy of the neural oscillations corresponds to a unique developmental chronology in human infants’ experience with speech and language.
The project uses state-of-the-art brain imaging techniques, EEG & NIRS, with monolingual full term newborns, as well as full-term bilingual, preterm and deaf newborns to investigate the link between prenatal experience and subsequent language acquisition. It proposes to follow the developmental trajectories of these four populations from birth to 6 and 9 months of age.
Summary
The role of experience in language acquisition has been the focus of heated theoretical debates, between proponents of nativist views according to whom experience plays a minimal role and advocates of empiricist positions holding that experience, be it linguistic, social or other, is sufficient to account for language acquisition. Despite more than a half century of dedicated research efforts, the problem is not solved.
The present project brings a novel perspective to this debate, combining hitherto unconnected research in language acquisition with recent advances in the neurophysiology of hearing and speech processing. Specifically, it claims that prenatal experience with speech, which mainly consists of prosody due to the filtering effects of the womb, is what shapes the speech perception system, laying the foundations of subsequent language learning. Prosody is thus the cue that links genetically endowed predispositions present in the initial state with language experience. The proposal links the behavioral and neural levels, arguing that the hierarchy of the neural oscillations corresponds to a unique developmental chronology in human infants’ experience with speech and language.
The project uses state-of-the-art brain imaging techniques, EEG & NIRS, with monolingual full term newborns, as well as full-term bilingual, preterm and deaf newborns to investigate the link between prenatal experience and subsequent language acquisition. It proposes to follow the developmental trajectories of these four populations from birth to 6 and 9 months of age.
Max ERC Funding
1 621 250 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym BEFINE
Project mechanical BEhavior of Fluid-INduced Earthquakes
Researcher (PI) Marie, Estelle, Solange VIOLAY
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Country Switzerland
Call Details Starting Grant (StG), PE10, ERC-2017-STG
Summary Fluids play an important role in fault zone and in earthquakes generation. Fluid pressure reduces the normal effective stress, lowering the frictional strength of the fault, potentially triggering earthquake ruptures. Fluid injection induced earthquakes (FIE) are direct evidence of the effect of fluid pressure on the fault strength. In addition, natural earthquake sequences are often associated with high fluid pressures at seismogenic depths. Although simple in theory, the mechanisms that govern the nucleation, propagation and recurrence of FIEs are poorly constrained, and our ability to assess the seismic hazard that is associated with natural and induced events remains limited. This project aims to enhance our knowledge of FIE mechanisms over entire seismic cycles through multidisciplinary approaches, including the following:
- Set-up and installation of a new and unique rock friction apparatus that is dedicated to the study of FIEs.
- Low strain rate friction experiments (coupled with electrical conductivity measurements) to investigate the influence of fluids on fault creep and earthquake recurrence.
- Intermediate strain rate friction experiments to investigate the effect of fluids on fault stability during earthquake nucleation.
- High strain rate friction experiments to investigate the effect of fluids on fault weakening during earthquake propagation.
- Post-mortem experimental fault analyses with state-of-art microstructural techniques.
- The theoretical friction law will be calibrated with friction experiments and faulted rock microstructural observations.
These steps will produce fundamental discoveries regarding natural earthquakes and tectonic processes and help scientists understand and eventually manage the occurrence of induced seismicity, an increasingly hot topic in geo-engineering. The sustainable exploitation of geo-resources is a key research and technology challenge at the European scale, with a substantial economical and societal impact.
Summary
Fluids play an important role in fault zone and in earthquakes generation. Fluid pressure reduces the normal effective stress, lowering the frictional strength of the fault, potentially triggering earthquake ruptures. Fluid injection induced earthquakes (FIE) are direct evidence of the effect of fluid pressure on the fault strength. In addition, natural earthquake sequences are often associated with high fluid pressures at seismogenic depths. Although simple in theory, the mechanisms that govern the nucleation, propagation and recurrence of FIEs are poorly constrained, and our ability to assess the seismic hazard that is associated with natural and induced events remains limited. This project aims to enhance our knowledge of FIE mechanisms over entire seismic cycles through multidisciplinary approaches, including the following:
- Set-up and installation of a new and unique rock friction apparatus that is dedicated to the study of FIEs.
- Low strain rate friction experiments (coupled with electrical conductivity measurements) to investigate the influence of fluids on fault creep and earthquake recurrence.
- Intermediate strain rate friction experiments to investigate the effect of fluids on fault stability during earthquake nucleation.
- High strain rate friction experiments to investigate the effect of fluids on fault weakening during earthquake propagation.
- Post-mortem experimental fault analyses with state-of-art microstructural techniques.
- The theoretical friction law will be calibrated with friction experiments and faulted rock microstructural observations.
These steps will produce fundamental discoveries regarding natural earthquakes and tectonic processes and help scientists understand and eventually manage the occurrence of induced seismicity, an increasingly hot topic in geo-engineering. The sustainable exploitation of geo-resources is a key research and technology challenge at the European scale, with a substantial economical and societal impact.
Max ERC Funding
1 982 925 €
Duration
Start date: 2018-03-01, End date: 2023-12-31
Project acronym BEHAVFRICTIONS
Project Behavioral Implications of Information-Processing Frictions
Researcher (PI) Jakub STEINER
Host Institution (HI) NARODOHOSPODARSKY USTAV AKADEMIE VED CESKE REPUBLIKY VEREJNA VYZKUMNA INSTITUCE
Country Czechia
Call Details Consolidator Grant (CoG), SH1, ERC-2017-COG
Summary BEHAVFRICTIONS will use novel models focussing on information-processing frictions to explain choice patterns described in behavioral economics and psychology. The proposed research will provide microfoundations that are essential for (i) identification of stable preferences, (ii) counterfactual predictions, and (iii) normative conclusions.
(i) Agents who face information-processing costs must trade the precision of choice against information costs. Their behavior thus reflects both their stable preferences and the context-dependent procedures that manage their errors stemming from imperfect information processing. In the absence of micro-founded models, the two drivers of the behavior are difficult to disentangle for outside observers. In some pillars of the proposal, the agents follow choice rules that closely resemble logit rules used in structural estimation. This will allow me to reinterpret the structural estimation fits to choice data and to make a distinction between the stable preferences and frictions.
(ii) Such a distinction is important in counterfactual policy analysis because the second-best decision procedures that manage the errors in choice are affected by the analysed policy. Incorporation of the information-processing frictions into existing empirical methods will improve our ability to predict effects of the policies.
(iii) My preliminary results suggest that when an agent is prone to committing errors, biases--such as overconfidence, confirmatory bias, or perception biases known from prospect theory--arise under second-best strategies. By providing the link between the agent's environment and the second-best distribution of the perception errors, my models will delineate environments in which these biases shield the agents from the most costly mistakes from environments in which the biases turn into maladaptations. The distinction will inform the normative debate on debiasing.
Summary
BEHAVFRICTIONS will use novel models focussing on information-processing frictions to explain choice patterns described in behavioral economics and psychology. The proposed research will provide microfoundations that are essential for (i) identification of stable preferences, (ii) counterfactual predictions, and (iii) normative conclusions.
(i) Agents who face information-processing costs must trade the precision of choice against information costs. Their behavior thus reflects both their stable preferences and the context-dependent procedures that manage their errors stemming from imperfect information processing. In the absence of micro-founded models, the two drivers of the behavior are difficult to disentangle for outside observers. In some pillars of the proposal, the agents follow choice rules that closely resemble logit rules used in structural estimation. This will allow me to reinterpret the structural estimation fits to choice data and to make a distinction between the stable preferences and frictions.
(ii) Such a distinction is important in counterfactual policy analysis because the second-best decision procedures that manage the errors in choice are affected by the analysed policy. Incorporation of the information-processing frictions into existing empirical methods will improve our ability to predict effects of the policies.
(iii) My preliminary results suggest that when an agent is prone to committing errors, biases--such as overconfidence, confirmatory bias, or perception biases known from prospect theory--arise under second-best strategies. By providing the link between the agent's environment and the second-best distribution of the perception errors, my models will delineate environments in which these biases shield the agents from the most costly mistakes from environments in which the biases turn into maladaptations. The distinction will inform the normative debate on debiasing.
Max ERC Funding
1 321 488 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym BESTDECISION
Project "Behavioural Economics and Strategic Decision Making: Theory, Empirics, and Experiments"
Researcher (PI) Vincent Paul Crawford
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Country United Kingdom
Call Details Advanced Grant (AdG), SH1, ERC-2013-ADG
Summary "I will study questions of central microeconomic importance via interwoven theoretical, empirical, and experimental analyses, from a behavioural perspective combining standard methods with assumptions that better reflect evidence on behaviour and psychological insights. The contributions of behavioural economics have been widely recognized, but the benefits of its insights are far from fully realized. I propose four lines of inquiry that focus on how institutions interact with cognition and behaviour, chosen for their potential to reshape our understanding of important questions and their synergies across lines.
The first line will study nonparametric identification and estimation of reference-dependent versions of the standard microeconomic model of consumer demand or labour supply, the subject of hundreds of empirical studies and perhaps the single most important model in microeconomics. It will allow such studies to consider relevant behavioural factors without imposing structural assumptions as in previous work.
The second line will analyze history-dependent learning in financial crises theoretically and experimentally, with the goal of quantifying how market structure influences the likelihood of a crisis.
The third line will study strategic thinking experimentally, using a powerful new design that links subjects’ searches for hidden payoff information (“eye-movements”) much more directly to thinking.
The fourth line will significantly advance Myerson and Satterthwaite’s analyses of optimal design of bargaining rules and auctions, which first went beyond the analysis of given institutions to study what is possible by designing new institutions, replacing their equilibrium assumption with a nonequilibrium model that is well supported by experiments.
The synergies among these four lines’ theoretical analyses, empirical methods, and data analyses will accelerate progress on each line well beyond what would be possible in a piecemeal approach."
Summary
"I will study questions of central microeconomic importance via interwoven theoretical, empirical, and experimental analyses, from a behavioural perspective combining standard methods with assumptions that better reflect evidence on behaviour and psychological insights. The contributions of behavioural economics have been widely recognized, but the benefits of its insights are far from fully realized. I propose four lines of inquiry that focus on how institutions interact with cognition and behaviour, chosen for their potential to reshape our understanding of important questions and their synergies across lines.
The first line will study nonparametric identification and estimation of reference-dependent versions of the standard microeconomic model of consumer demand or labour supply, the subject of hundreds of empirical studies and perhaps the single most important model in microeconomics. It will allow such studies to consider relevant behavioural factors without imposing structural assumptions as in previous work.
The second line will analyze history-dependent learning in financial crises theoretically and experimentally, with the goal of quantifying how market structure influences the likelihood of a crisis.
The third line will study strategic thinking experimentally, using a powerful new design that links subjects’ searches for hidden payoff information (“eye-movements”) much more directly to thinking.
The fourth line will significantly advance Myerson and Satterthwaite’s analyses of optimal design of bargaining rules and auctions, which first went beyond the analysis of given institutions to study what is possible by designing new institutions, replacing their equilibrium assumption with a nonequilibrium model that is well supported by experiments.
The synergies among these four lines’ theoretical analyses, empirical methods, and data analyses will accelerate progress on each line well beyond what would be possible in a piecemeal approach."
Max ERC Funding
1 985 373 €
Duration
Start date: 2014-04-01, End date: 2019-03-31
Project acronym BETAIMAGE
Project An in vivo imaging approach to understand pancreatic beta-cell signal-transduction
Researcher (PI) Per-Olof Berggren
Host Institution (HI) KAROLINSKA INSTITUTET
Country Sweden
Call Details Advanced Grant (AdG), LS4, ERC-2013-ADG
Summary The challenge in cell physiology/pathology today is to translate in vitro findings to the living organism. We have developed a unique approach where signal-transduction can be investigated in vivo non-invasively, longitudinally at single cell resolution, using the anterior chamber of the eye as a natural body window for imaging. We will use this approach to understand how the universally important and highly complex signal Ca2+ is regulated in the pancreatic beta-cell, while localized in the vascularized and innervated islet of Langerhans, and how that affects the insulin secretory machinery in vivo. Engrafted islets in the eye take on identical innervation- and vascularization patterns as those in the pancreas and are proficient in regulating glucose homeostasis in the animal. Since the pancreatic islet constitutes a micro-organ, this imaging approach offers a seminal model system to understand Ca2+ signaling in individual cells at the organ level in real life. We will test the hypothesis that the Ca2+-signal has a key role in pancreatic beta-cell function and survival in vivo and that perturbation in the Ca2+-signal serves as a common denominator for beta-cell pathology associated with impaired glucose homeostasis and diabetes. Of special interest is how innervation impacts on Ca2+-dynamics and the integration of autocrine, paracrine and endocrine signals in fine-tuning the Ca2+-signal with regard to beta-cell function and survival. We aim to define key defects in the machinery regulating Ca2+-dynamics in association with the autoimmune reaction, inflammation and obesity eventually resulting in diabetes. Our imaging platform will be applied to clarify in vivo regulation of Ca2+-dynamics in both healthy and diabetic human beta-cells. To define novel drugable targets for treatment of diabetes, it is crucial to identify similarities and differences in the molecular machinery regulating the in vivo Ca2+-signal in the human and in the rodent beta-cell.
Summary
The challenge in cell physiology/pathology today is to translate in vitro findings to the living organism. We have developed a unique approach where signal-transduction can be investigated in vivo non-invasively, longitudinally at single cell resolution, using the anterior chamber of the eye as a natural body window for imaging. We will use this approach to understand how the universally important and highly complex signal Ca2+ is regulated in the pancreatic beta-cell, while localized in the vascularized and innervated islet of Langerhans, and how that affects the insulin secretory machinery in vivo. Engrafted islets in the eye take on identical innervation- and vascularization patterns as those in the pancreas and are proficient in regulating glucose homeostasis in the animal. Since the pancreatic islet constitutes a micro-organ, this imaging approach offers a seminal model system to understand Ca2+ signaling in individual cells at the organ level in real life. We will test the hypothesis that the Ca2+-signal has a key role in pancreatic beta-cell function and survival in vivo and that perturbation in the Ca2+-signal serves as a common denominator for beta-cell pathology associated with impaired glucose homeostasis and diabetes. Of special interest is how innervation impacts on Ca2+-dynamics and the integration of autocrine, paracrine and endocrine signals in fine-tuning the Ca2+-signal with regard to beta-cell function and survival. We aim to define key defects in the machinery regulating Ca2+-dynamics in association with the autoimmune reaction, inflammation and obesity eventually resulting in diabetes. Our imaging platform will be applied to clarify in vivo regulation of Ca2+-dynamics in both healthy and diabetic human beta-cells. To define novel drugable targets for treatment of diabetes, it is crucial to identify similarities and differences in the molecular machinery regulating the in vivo Ca2+-signal in the human and in the rodent beta-cell.
Max ERC Funding
2 499 590 €
Duration
Start date: 2014-03-01, End date: 2019-02-28
Project acronym BETLIV
Project Returning to a Better Place: The (Re)assessment of the ‘Good Life’ in Times of Crisis
Researcher (PI) Valerio SIMONI RIBA
Host Institution (HI) FONDATION POUR L INSTITUT DE HAUTES ETUDES INTERNATIONALES ET DU DEVELOPPEMENT
Country Switzerland
Call Details Starting Grant (StG), SH5, ERC-2017-STG
Summary What makes for a valuable and good life is a question that many people in the contemporary world ask themselves, yet it is one that social science research has seldom addressed. Only recently have scholars started undertaking inductive comparative research on different notions of the ‘good life’, highlighting socio-cultural variations and calling for a better understanding of the different imaginaries, aspirations and values that guide people in their quest for better living conditions. Research is still lacking, however, on how people themselves evaluate, compare, and put into perspective different visions of good living and their socio-cultural anchorage. This project addresses such questions from an anthropological perspective, proposing an innovative study of how ideals of the good life are articulated, (re)assessed, and related to specific places and contexts as a result of the experience of crisis and migration. The case studies chosen to operationalize these lines of enquiry focus on the phenomenon of return migration, and consist in an analysis of the imaginaries and experience of return by Ecuadorian and Cuban men and women who migrated to Spain, are dissatisfied with their life there, and envisage/carry out the project of going back to their countries of origin (Ecuador and Cuba respectively). The project’s ambition is to bring together and contribute to three main scholarly areas of enquiry: 1) the study of morality, ethics and what counts as ‘good life’, 2) the study of the field of economic practice, its definition, value regimes, and ‘crises’, and 3) the study of migratory aspirations, projects, and trajectories. A multi-sited endeavour, the research is designed in three subprojects carried out in Spain (PhD student), Ecuador (Post-Doc), and Cuba (PI), in which ethnographic methods will be used to provide the first empirically grounded study of the links between notions and experiences of crisis, return migration, and the (re)assessment of good living.
Summary
What makes for a valuable and good life is a question that many people in the contemporary world ask themselves, yet it is one that social science research has seldom addressed. Only recently have scholars started undertaking inductive comparative research on different notions of the ‘good life’, highlighting socio-cultural variations and calling for a better understanding of the different imaginaries, aspirations and values that guide people in their quest for better living conditions. Research is still lacking, however, on how people themselves evaluate, compare, and put into perspective different visions of good living and their socio-cultural anchorage. This project addresses such questions from an anthropological perspective, proposing an innovative study of how ideals of the good life are articulated, (re)assessed, and related to specific places and contexts as a result of the experience of crisis and migration. The case studies chosen to operationalize these lines of enquiry focus on the phenomenon of return migration, and consist in an analysis of the imaginaries and experience of return by Ecuadorian and Cuban men and women who migrated to Spain, are dissatisfied with their life there, and envisage/carry out the project of going back to their countries of origin (Ecuador and Cuba respectively). The project’s ambition is to bring together and contribute to three main scholarly areas of enquiry: 1) the study of morality, ethics and what counts as ‘good life’, 2) the study of the field of economic practice, its definition, value regimes, and ‘crises’, and 3) the study of migratory aspirations, projects, and trajectories. A multi-sited endeavour, the research is designed in three subprojects carried out in Spain (PhD student), Ecuador (Post-Doc), and Cuba (PI), in which ethnographic methods will be used to provide the first empirically grounded study of the links between notions and experiences of crisis, return migration, and the (re)assessment of good living.
Max ERC Funding
1 500 000 €
Duration
Start date: 2018-02-01, End date: 2023-07-31
Project acronym BEYOND
Project METABOLIC BASIS OF NEURODEGENERATIVE DISEASE
Researcher (PI) Thomas Franz Erich Willnow
Host Institution (HI) MAX DELBRUECK CENTRUM FUER MOLEKULARE MEDIZIN IN DER HELMHOLTZ-GEMEINSCHAFT (MDC)
Country Germany
Call Details Advanced Grant (AdG), LS4, ERC-2013-ADG
Summary Alzheimer disease (AD) is the most common form of age-related dementia affecting millions of patients worldwide. Disturbingly, disorders of lipid and glucose metabolism emerge as major risk factors for onset and progression of neurodegeneration in the human population. Thus, an increasing life expectance combined with an observable rise in metabolic disturbances is expected to turn AD into one of the most serious health problems for future generations. Still, the molecular mechanisms whereby dysregulation of glucose and lipid homeostasis elicits noxious insults to the brain remain poorly understood. We characterized a novel class of intracellular sorting receptors, termed VPS10P domain receptors with dual roles in regulation of neuronal viability and function, but also in modulation of glucose and lipid homeostasis. Our proposal aims at elucidating an important yet poorly understood link between metabolism and neurodegeneration that converges on these receptors. Our approach is unique and novel in several ways. Thematically, our studies focus on a novel class of receptors previously not considered. Based on the receptors’ ability to act as sorting proteins, we propose faulty protein trafficking as a major unifying concept underlying neurodegenerative and metabolic disorders. Conceptually, our approach relies on the interdisciplinary effort of neuroscientists and metabolism researchers working jointly on pathophysiological pathways converging on these receptors. Through this effort, we are confident to gain important insights into the crosstalk between brain and peripheral tissues, and to elucidate pathways common to metabolic disturbances and dementia, two prevailing degenerative disorders inflicting our societies.
Summary
Alzheimer disease (AD) is the most common form of age-related dementia affecting millions of patients worldwide. Disturbingly, disorders of lipid and glucose metabolism emerge as major risk factors for onset and progression of neurodegeneration in the human population. Thus, an increasing life expectance combined with an observable rise in metabolic disturbances is expected to turn AD into one of the most serious health problems for future generations. Still, the molecular mechanisms whereby dysregulation of glucose and lipid homeostasis elicits noxious insults to the brain remain poorly understood. We characterized a novel class of intracellular sorting receptors, termed VPS10P domain receptors with dual roles in regulation of neuronal viability and function, but also in modulation of glucose and lipid homeostasis. Our proposal aims at elucidating an important yet poorly understood link between metabolism and neurodegeneration that converges on these receptors. Our approach is unique and novel in several ways. Thematically, our studies focus on a novel class of receptors previously not considered. Based on the receptors’ ability to act as sorting proteins, we propose faulty protein trafficking as a major unifying concept underlying neurodegenerative and metabolic disorders. Conceptually, our approach relies on the interdisciplinary effort of neuroscientists and metabolism researchers working jointly on pathophysiological pathways converging on these receptors. Through this effort, we are confident to gain important insights into the crosstalk between brain and peripheral tissues, and to elucidate pathways common to metabolic disturbances and dementia, two prevailing degenerative disorders inflicting our societies.
Max ERC Funding
2 415 229 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym BEYONDENEMYLINES
Project Beyond Enemy Lines: Literature and Film in the British and American Zones of Occupied Germany, 1945-1949
Researcher (PI) Lara Feigel
Host Institution (HI) KING'S COLLEGE LONDON
Country United Kingdom
Call Details Starting Grant (StG), SH5, ERC-2013-StG
Summary This project investigates the cross-fertilisation of Anglo/American and German literature and film during the Allied Occupation of Germany. It will be the first study to survey the cultural landscape of the British and American zones of Occupied Germany in any detail. By doing so it will offer a new interpretative framework for postwar culture, in particular in three areas: the history of the Allied Occupation of Germany; the history of postwar Anglophone and Germanophone literature (arguing the two were more intertwined than has previously been suggested); and the history of the relationship between postwar and Cold War. Combining Anglo-American and German literature and film history with critical analysis, cultural history and life-writing, this is a necessarily ambitious, multidisciplinary study which will open up a major new field of research.
Summary
This project investigates the cross-fertilisation of Anglo/American and German literature and film during the Allied Occupation of Germany. It will be the first study to survey the cultural landscape of the British and American zones of Occupied Germany in any detail. By doing so it will offer a new interpretative framework for postwar culture, in particular in three areas: the history of the Allied Occupation of Germany; the history of postwar Anglophone and Germanophone literature (arguing the two were more intertwined than has previously been suggested); and the history of the relationship between postwar and Cold War. Combining Anglo-American and German literature and film history with critical analysis, cultural history and life-writing, this is a necessarily ambitious, multidisciplinary study which will open up a major new field of research.
Max ERC Funding
1 414 601 €
Duration
Start date: 2013-09-01, End date: 2019-02-28
Project acronym BHSandAADS
Project The Black Hole Stability Problem and the Analysis of asymptotically anti-de Sitter spacetimes
Researcher (PI) Gustav HOLZEGEL
Host Institution (HI) IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
Country United Kingdom
Call Details Consolidator Grant (CoG), PE1, ERC-2017-COG
Summary The present proposal is concerned with the analysis of the Einstein equations of general relativity, a non-linear system of geometric partial differential equations describing phenomena from the bending of light to the dynamics of black holes. The theory has recently been confirmed in a spectacular fashion with the detection of gravitational waves.
The main objective of the proposal is to consolidate my research group based at Imperial College by developing novel mathematical techniques that will fundamentally advance our understanding of the Einstein equations. Here the proposal builds on mathematical progress in the last decade resulting from achievements in the fields of partial differential equations, differential geometry, microlocal analysis and theoretical physics.
The Black Hole Stability Problem
A major open problem in general relativity is to prove the non-linear stability of the Kerr family of black hole solutions. Recent advances in the problem of linear stability made by the PI and collaborators open the door to finally address a complete resolution of the stability problem. In this proposal we will describe what non-linear techniques will need to be developed in addition to achieve this goal. A successful resolution of this program would conclude an almost 50-year-old problem.
The Analysis of asymptotically anti-de Sitter (aAdS) spacetimes
We propose to prove the stability of pure AdS if so-called dissipative boundary conditions are imposed at the boundary. This result would align with the well-known stability results for the other maximally-symmetric solutions of the Einstein equations, Minkowski space and de Sitter space.
As a second -- related -- theme we propose to formulate and prove a unique continuation principle for the full non-linear Einstein equations on aAdS spacetimes. This goal will be achieved by advancing techniques that have recently been developed by the PI and collaborators for non-linear wave equations on aAdS spacetimes.
Summary
The present proposal is concerned with the analysis of the Einstein equations of general relativity, a non-linear system of geometric partial differential equations describing phenomena from the bending of light to the dynamics of black holes. The theory has recently been confirmed in a spectacular fashion with the detection of gravitational waves.
The main objective of the proposal is to consolidate my research group based at Imperial College by developing novel mathematical techniques that will fundamentally advance our understanding of the Einstein equations. Here the proposal builds on mathematical progress in the last decade resulting from achievements in the fields of partial differential equations, differential geometry, microlocal analysis and theoretical physics.
The Black Hole Stability Problem
A major open problem in general relativity is to prove the non-linear stability of the Kerr family of black hole solutions. Recent advances in the problem of linear stability made by the PI and collaborators open the door to finally address a complete resolution of the stability problem. In this proposal we will describe what non-linear techniques will need to be developed in addition to achieve this goal. A successful resolution of this program would conclude an almost 50-year-old problem.
The Analysis of asymptotically anti-de Sitter (aAdS) spacetimes
We propose to prove the stability of pure AdS if so-called dissipative boundary conditions are imposed at the boundary. This result would align with the well-known stability results for the other maximally-symmetric solutions of the Einstein equations, Minkowski space and de Sitter space.
As a second -- related -- theme we propose to formulate and prove a unique continuation principle for the full non-linear Einstein equations on aAdS spacetimes. This goal will be achieved by advancing techniques that have recently been developed by the PI and collaborators for non-linear wave equations on aAdS spacetimes.
Max ERC Funding
1 999 755 €
Duration
Start date: 2018-11-01, End date: 2023-10-31
Project acronym BIGlobal
Project Firm Growth and Market Power in the Global Economy
Researcher (PI) Swati DHINGRA
Host Institution (HI) LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
Country United Kingdom
Call Details Starting Grant (StG), SH1, ERC-2017-STG
Summary According to the European Commission, to design effective policies for ensuring a “more dynamic, innovative and competitive” economy, it is essential to understand the decision-making process of firms as they differ a lot in terms of their capacities and policy responses (EC 2007). The objective of my future research is to provide such an analysis. BIGlobal will examine the sources of firm growth and market power to provide new insights into welfare and policy in a globalized world.
Much of analysis of the global economy is set in the paradigm of markets that allocate resources efficiently and there is little role for policy. But big firms dominate economic activity, especially across borders. How do firms grow and what is the effect of their market power on the welfare impact of globalization? This project will determine how firm decisions matter for the aggregate gains from globalization, the division of these gains across different individuals and their implications for policy design.
Over the next five years, I will incorporate richer firms behaviour in models of international trade to understand how trade and industrial policies impact the growth process, especially in less developed markets. The specific questions I will address include: how can trade and competition policy ensure consumers benefit from globalization when firms engaged in international trade have market power, how do domestic policies to encourage agribusiness firms affect the extent to which small farmers gain from trade, how do industrial policies affect firm growth through input linkages, and what is the impact of banking globalization on the growth of firms in the real sector.
Each project will combine theoretical work with rich data from developing economies to expand the frontier of knowledge on trade and industrial policy, and to provide a basis for informed policymaking.
Summary
According to the European Commission, to design effective policies for ensuring a “more dynamic, innovative and competitive” economy, it is essential to understand the decision-making process of firms as they differ a lot in terms of their capacities and policy responses (EC 2007). The objective of my future research is to provide such an analysis. BIGlobal will examine the sources of firm growth and market power to provide new insights into welfare and policy in a globalized world.
Much of analysis of the global economy is set in the paradigm of markets that allocate resources efficiently and there is little role for policy. But big firms dominate economic activity, especially across borders. How do firms grow and what is the effect of their market power on the welfare impact of globalization? This project will determine how firm decisions matter for the aggregate gains from globalization, the division of these gains across different individuals and their implications for policy design.
Over the next five years, I will incorporate richer firms behaviour in models of international trade to understand how trade and industrial policies impact the growth process, especially in less developed markets. The specific questions I will address include: how can trade and competition policy ensure consumers benefit from globalization when firms engaged in international trade have market power, how do domestic policies to encourage agribusiness firms affect the extent to which small farmers gain from trade, how do industrial policies affect firm growth through input linkages, and what is the impact of banking globalization on the growth of firms in the real sector.
Each project will combine theoretical work with rich data from developing economies to expand the frontier of knowledge on trade and industrial policy, and to provide a basis for informed policymaking.
Max ERC Funding
1 313 103 €
Duration
Start date: 2017-12-01, End date: 2022-11-30
Project acronym BIOCARD
Project Deep BIOmodeling of human CARDiogenesis
Researcher (PI) Alessandra MORETTI
Host Institution (HI) KLINIKUM RECHTS DER ISAR DER TECHNISCHEN UNIVERSITAT MUNCHEN
Country Germany
Call Details Advanced Grant (AdG), LS4, ERC-2017-ADG
Summary The heart is one of the first and most complex organs formed during human embryogenesis. While its anatomy and physiology have been extensively studied over centuries, the normal development of human heart and dysregulation in disease still remain poorly understood at the molecular/cellular level. Stem cell technologies hold promise for modelling development, analysing disease mechanisms, and developing potential therapies. By combining multidisciplinary approaches centred on human induced pluripotent stem cells (hiPSCs), BIOCARD aims at decoding the cellular and molecular principles of human cardiogenesis and developing advanced inter-chimeric human-pig models of cardiac development and disease. State-of-the-art genetic modification techniques and functional genomics will be used to establish a molecular atlas of cell type intermediates of human cardiogenesis in vitro and unravel how their proliferation, differentiation and lineage choice are regulated in health and disease. This in vitro approach will be complemented by detailed analyses of how distinct hiPSC-derived cardiac progenitor populations commit and contribute to specific cardiac compartments in interspecies chimeric hearts in vivo. Finally, we will capitalize on the novel concept that combinations of different well-defined hiPSC-derived cardiac progenitor pools with timely-matched, native extracellular matrix from embryonic hearts will accomplish for the first time the realization of human heart organoids as 3D culture systems of developing heart structures. Clearly, BIOCARD will open game-changing opportunities for devising novel biomedical applications, such as human heart chamber-specific disease modelling, large-scale drug testing in appropriate human 3D cardiac bio-mimics, and regenerative cell therapies based on functional ventricular-muscle patches and direct cell conversion in vivo.
Summary
The heart is one of the first and most complex organs formed during human embryogenesis. While its anatomy and physiology have been extensively studied over centuries, the normal development of human heart and dysregulation in disease still remain poorly understood at the molecular/cellular level. Stem cell technologies hold promise for modelling development, analysing disease mechanisms, and developing potential therapies. By combining multidisciplinary approaches centred on human induced pluripotent stem cells (hiPSCs), BIOCARD aims at decoding the cellular and molecular principles of human cardiogenesis and developing advanced inter-chimeric human-pig models of cardiac development and disease. State-of-the-art genetic modification techniques and functional genomics will be used to establish a molecular atlas of cell type intermediates of human cardiogenesis in vitro and unravel how their proliferation, differentiation and lineage choice are regulated in health and disease. This in vitro approach will be complemented by detailed analyses of how distinct hiPSC-derived cardiac progenitor populations commit and contribute to specific cardiac compartments in interspecies chimeric hearts in vivo. Finally, we will capitalize on the novel concept that combinations of different well-defined hiPSC-derived cardiac progenitor pools with timely-matched, native extracellular matrix from embryonic hearts will accomplish for the first time the realization of human heart organoids as 3D culture systems of developing heart structures. Clearly, BIOCARD will open game-changing opportunities for devising novel biomedical applications, such as human heart chamber-specific disease modelling, large-scale drug testing in appropriate human 3D cardiac bio-mimics, and regenerative cell therapies based on functional ventricular-muscle patches and direct cell conversion in vivo.
Max ERC Funding
2 285 625 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym BioNanoPattern
Project Protein nano-patterning using DNA nanotechnology; control of surface-based immune system activation
Researcher (PI) Thomas Harry SHARP
Host Institution (HI) ACADEMISCH ZIEKENHUIS LEIDEN
Country Netherlands
Call Details Starting Grant (StG), LS9, ERC-2017-STG
Summary Protein nanopatterning concerns the geometric arrangement of individual proteins with nanometre accuracy. It is becoming apparent that protein nanopatterns are essential for cellular function, and have roles in cell signalling and protection, phagocytosis and stem cell differentiation. Recent research indicates that our immune system is activated by nanopatterned antibody platforms, which initiate the classical Complement pathway by binding to the first component of Complement, the C1 complex. DNA nanotechnology can be used to form self-assembled nanoscale structures, which are ideal for use as templates to pattern proteins with specific geometries and nanometre accuracy. I propose to use DNA to nanopattern antigens and agonistic aptamers with defined geometry to study and control Complement pathway activation by the C1 complex.
To develop and demonstrate the potential use of DNA to nanopattern proteins, the first aim of this proposal is to design DNA nanotemplates suitable for patterning antibody-binding sites. Antibodies and C1 will bind with specific geometry, and the relationship between antibody geometry and Complement activation will be assessed using novel liposome assays. Using DNA to mimic antigenic surfaces will enable high-resolution structure determination of DNA-antibody-C1 complexes, both in solution and on lipid bilayer surfaces, using phase plate cryo-electron microscopy to elucidate the structure-activation relationship of C1.
The second aim of this proposal is to evolve agonistic aptamers that directly bind to and activate C1, and incorporate these into DNA nanotemplates. These nanopatterned aptamers will enable further study of C1 activation, and allow direct targeting of Complement activation to specific cells within a population of cell types to demonstrate targeted cell killing. This may open up new and highly efficient ways to activate our immune system in vivo, with potential for targeted anti-tumour immunotherapies.
Summary
Protein nanopatterning concerns the geometric arrangement of individual proteins with nanometre accuracy. It is becoming apparent that protein nanopatterns are essential for cellular function, and have roles in cell signalling and protection, phagocytosis and stem cell differentiation. Recent research indicates that our immune system is activated by nanopatterned antibody platforms, which initiate the classical Complement pathway by binding to the first component of Complement, the C1 complex. DNA nanotechnology can be used to form self-assembled nanoscale structures, which are ideal for use as templates to pattern proteins with specific geometries and nanometre accuracy. I propose to use DNA to nanopattern antigens and agonistic aptamers with defined geometry to study and control Complement pathway activation by the C1 complex.
To develop and demonstrate the potential use of DNA to nanopattern proteins, the first aim of this proposal is to design DNA nanotemplates suitable for patterning antibody-binding sites. Antibodies and C1 will bind with specific geometry, and the relationship between antibody geometry and Complement activation will be assessed using novel liposome assays. Using DNA to mimic antigenic surfaces will enable high-resolution structure determination of DNA-antibody-C1 complexes, both in solution and on lipid bilayer surfaces, using phase plate cryo-electron microscopy to elucidate the structure-activation relationship of C1.
The second aim of this proposal is to evolve agonistic aptamers that directly bind to and activate C1, and incorporate these into DNA nanotemplates. These nanopatterned aptamers will enable further study of C1 activation, and allow direct targeting of Complement activation to specific cells within a population of cell types to demonstrate targeted cell killing. This may open up new and highly efficient ways to activate our immune system in vivo, with potential for targeted anti-tumour immunotherapies.
Max ERC Funding
1 499 850 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym BirNonArchGeom
Project Birational and non-archimedean geometries
Researcher (PI) Michael TEMKIN
Host Institution (HI) THE HEBREW UNIVERSITY OF JERUSALEM
Country Israel
Call Details Consolidator Grant (CoG), PE1, ERC-2017-COG
Summary Resolution of singularities is one of classical, central and difficult areas of algebraic geometry, with a centennial history of intensive research and contributions of such great names as Zariski, Hironaka and Abhyankar. Nowadays, desingularization of schemes of characteristic zero is very well understood, while semistable reduction of morphisms and desingularization in positive characteristic are still waiting for major breakthroughs. In addition to the classical techniques with their triumph in characteristic zero, modern resolution of singularities includes de Jong's method of alterations, toroidal methods, formal analytic and non-archimedean methods, etc.
The aim of the proposed research is to study nearly all directions in resolution of singularities and semistable reduction, as well as the wild ramification phenomena, which are probably the main obstacle to transfer methods from characteristic zero to positive characteristic.
The methods of algebraic and non-archimedean geometries are intertwined in the proposal, though algebraic geometry is somewhat dominating, especially due to the new stack-theoretic techniques. It seems very probable that increasing the symbiosis between birational and non-archimedean geometries will be one of by-products of this research.
Summary
Resolution of singularities is one of classical, central and difficult areas of algebraic geometry, with a centennial history of intensive research and contributions of such great names as Zariski, Hironaka and Abhyankar. Nowadays, desingularization of schemes of characteristic zero is very well understood, while semistable reduction of morphisms and desingularization in positive characteristic are still waiting for major breakthroughs. In addition to the classical techniques with their triumph in characteristic zero, modern resolution of singularities includes de Jong's method of alterations, toroidal methods, formal analytic and non-archimedean methods, etc.
The aim of the proposed research is to study nearly all directions in resolution of singularities and semistable reduction, as well as the wild ramification phenomena, which are probably the main obstacle to transfer methods from characteristic zero to positive characteristic.
The methods of algebraic and non-archimedean geometries are intertwined in the proposal, though algebraic geometry is somewhat dominating, especially due to the new stack-theoretic techniques. It seems very probable that increasing the symbiosis between birational and non-archimedean geometries will be one of by-products of this research.
Max ERC Funding
1 365 600 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym BLACARAT
Project "Black Carbon in the Atmosphere: Emissions, Aging and Cloud Interactions"
Researcher (PI) Martin Gysel Beer
Host Institution (HI) PAUL SCHERRER INSTITUT
Country Switzerland
Call Details Consolidator Grant (CoG), PE10, ERC-2013-CoG
Summary "Atmospheric aerosol particles have been shown to impact the earth's climate because they scatter and absorb solar radiation (direct effect) and because they can modify the microphysical properties of clouds by acting as cloud condensation nuclei or ice nuclei (indirect effects). Radiative forcing by anthropogenic aerosols remains poorly quantified, thus leading to considerable uncertainty in our understanding of the earth’s climate response to the radiative forcing by greenhouse gases. Black carbon (BC), mostly emitted by anthropogenic combustion processes and biomass burning, is an important component of atmospheric aerosols. Estimates show that BC may be the second strongest contributor (after CO2) to global warming. Adverse health effects due to particulate air pollution have also been associated with traffic-related BC particles. These climate and health effects brought BC emission reductions into the political focus of possible mitigation strategies with immediate and multiple benefits for human well-being.
Laboratory experiments aim at the physical and chemical characterisation of BC emissions from diesel engines and biomass burning under controlled conditions. A mobile laboratory equipped with state-of-the-art aerosol sensors will be used to determine the contribution of different BC sources to atmospheric BC loadings, and to investigate the evolution of the relevant BC properties with atmospheric aging during transport from sources to remote areas. The interactions of BC particles with clouds as a function of BC properties will be investigated with in-situ measurements by operating quantitative single particle instruments behind a novel sampling inlet, which makes selective sampling of interstitial, cloud droplet residual or ice crystal residual particles possible. Above experimental studies aim at improving our understanding of BC’s atmospheric life cycle and will be used in model simulations for quantitatively assessing the atmospheric impacts of BC."
Summary
"Atmospheric aerosol particles have been shown to impact the earth's climate because they scatter and absorb solar radiation (direct effect) and because they can modify the microphysical properties of clouds by acting as cloud condensation nuclei or ice nuclei (indirect effects). Radiative forcing by anthropogenic aerosols remains poorly quantified, thus leading to considerable uncertainty in our understanding of the earth’s climate response to the radiative forcing by greenhouse gases. Black carbon (BC), mostly emitted by anthropogenic combustion processes and biomass burning, is an important component of atmospheric aerosols. Estimates show that BC may be the second strongest contributor (after CO2) to global warming. Adverse health effects due to particulate air pollution have also been associated with traffic-related BC particles. These climate and health effects brought BC emission reductions into the political focus of possible mitigation strategies with immediate and multiple benefits for human well-being.
Laboratory experiments aim at the physical and chemical characterisation of BC emissions from diesel engines and biomass burning under controlled conditions. A mobile laboratory equipped with state-of-the-art aerosol sensors will be used to determine the contribution of different BC sources to atmospheric BC loadings, and to investigate the evolution of the relevant BC properties with atmospheric aging during transport from sources to remote areas. The interactions of BC particles with clouds as a function of BC properties will be investigated with in-situ measurements by operating quantitative single particle instruments behind a novel sampling inlet, which makes selective sampling of interstitial, cloud droplet residual or ice crystal residual particles possible. Above experimental studies aim at improving our understanding of BC’s atmospheric life cycle and will be used in model simulations for quantitatively assessing the atmospheric impacts of BC."
Max ERC Funding
1 992 015 €
Duration
Start date: 2014-03-01, End date: 2019-02-28
Project acronym BlackBox
Project A collaborative platform to document performance composition: from conceptual structures in the backstage to customizable visualizations in the front-end
Researcher (PI) Carla Maria De Jesus Fernandes
Host Institution (HI) FACULDADE DE CIENCIAS SOCIAIS E HUMANAS DA UNIVERSIDADE NOVA DE LISBOA
Country Portugal
Call Details Starting Grant (StG), SH5, ERC-2013-StG
Summary The global performing arts community is requiring innovative systems to: a) document, transmit and preserve the knowledge contained in choreographic-dramaturgic practices; b) assist artists with tools to facilitate their compositional processes, preferably on a collaborative basis. The existing digital archives of performing arts mostly function as conventional e-libraries, not allowing higher degrees of interactivity or active user intervention. They rarely contemplate accessible video annotation tools or provide relational querying functionalities based on artist-driven conceptual principles or idiosyncratic ontologies.
This proposal endeavours to fill that gap and create a new paradigm for the documentation of performance composition. It aims at the analysis of artists’ unique conceptual structures, by combining the empirical insights of contemporary creators with research theories from Multimodal Communication and Digital Media studies. The challenge is to design a model for a web-based collaborative platform enabling both a robust representation of performance composition methods and novel visualization technologies to support it. This can be done by analysing recurring body movement patterns and by fostering online contributions of users (a.o. performers and researchers) to the multimodal annotations stored in the platform. To accomplish this goal, two subjacent components must be developed: 1. the production of a video annotation-tool to allow artists in rehearsal periods to take notes over video in real-time and share them via the collaborative platform; 2. the linguistic analysis of a corpus of invited artists’ multimodal materials as source for the extraction of indicative conceptual structures, which will guide the architectural logics and interface design of the collaborative platform software.The outputs of these two components will generate critical case-studies to help understanding the human mind when engaged in cultural production processes.
Summary
The global performing arts community is requiring innovative systems to: a) document, transmit and preserve the knowledge contained in choreographic-dramaturgic practices; b) assist artists with tools to facilitate their compositional processes, preferably on a collaborative basis. The existing digital archives of performing arts mostly function as conventional e-libraries, not allowing higher degrees of interactivity or active user intervention. They rarely contemplate accessible video annotation tools or provide relational querying functionalities based on artist-driven conceptual principles or idiosyncratic ontologies.
This proposal endeavours to fill that gap and create a new paradigm for the documentation of performance composition. It aims at the analysis of artists’ unique conceptual structures, by combining the empirical insights of contemporary creators with research theories from Multimodal Communication and Digital Media studies. The challenge is to design a model for a web-based collaborative platform enabling both a robust representation of performance composition methods and novel visualization technologies to support it. This can be done by analysing recurring body movement patterns and by fostering online contributions of users (a.o. performers and researchers) to the multimodal annotations stored in the platform. To accomplish this goal, two subjacent components must be developed: 1. the production of a video annotation-tool to allow artists in rehearsal periods to take notes over video in real-time and share them via the collaborative platform; 2. the linguistic analysis of a corpus of invited artists’ multimodal materials as source for the extraction of indicative conceptual structures, which will guide the architectural logics and interface design of the collaborative platform software.The outputs of these two components will generate critical case-studies to help understanding the human mind when engaged in cultural production processes.
Max ERC Funding
1 378 200 €
Duration
Start date: 2014-05-01, End date: 2019-04-30
Project acronym bloodANDbone
Project Blood and bone – conjoined twins in health and disease: bone marrow analogs for hematological and musculoskeletal diseases
Researcher (PI) Cornelia Lee-Thedieck
Host Institution (HI) GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER
Country Germany
Call Details Starting Grant (StG), LS9, ERC-2017-STG
Summary Blood and bone are closely intertwined. Their intrinsic regenerative capacities are disturbed in many hematological and musculoskeletal diseases. Re-establishing the regenerative potential is the key to cure these diseases by regenerative medicine. Multipotent stem cells of both tissues – hematopoietic stem cells (HSCs) for blood and mesenchymal stem/stromal (MSCs) for bone – are the basis for their regenerative capacity. While it is well established that HSCs are influenced by the bone marrow in their natural environment including MSCs and their progeny, surprisingly little attention has been paid to the reciprocal relationship. The hypothesis of the current proposal is that only when taking both tissues and their mutual crosstalk into account, we will be able to understand how the regenerative potential of blood and bone is impaired in disease and how it can be re-established with novel treatment strategies. For this purpose we need to understand the early events of disease onset and progression. Due to the limitations of such studies in human beings and animals, I propose to develop human in vitro models of healthy bone marrow, which can be induced to develop hematological and musculoskeletal diseases with high incidence, namely leukemia, multiple myeloma and bone metastasis. Previously my team and I developed a simplified bone marrow analog that bases on macroporous, cell-laden biomaterials with tunable physical, biochemical and biological properties. This versatility will enable us to create biomimetic human in vitro models of the human bone marrow in health and disease, which are ground-breaking in their applicability to investigate how the regenerative balance of bone marrow is maintained in health and disturbed in the different kinds of diseases – a prerequisite to develop novel regenerative treatments – as well as their scalability and thus suitability as in vitro test systems for screening of novel drugs or treatments.
Summary
Blood and bone are closely intertwined. Their intrinsic regenerative capacities are disturbed in many hematological and musculoskeletal diseases. Re-establishing the regenerative potential is the key to cure these diseases by regenerative medicine. Multipotent stem cells of both tissues – hematopoietic stem cells (HSCs) for blood and mesenchymal stem/stromal (MSCs) for bone – are the basis for their regenerative capacity. While it is well established that HSCs are influenced by the bone marrow in their natural environment including MSCs and their progeny, surprisingly little attention has been paid to the reciprocal relationship. The hypothesis of the current proposal is that only when taking both tissues and their mutual crosstalk into account, we will be able to understand how the regenerative potential of blood and bone is impaired in disease and how it can be re-established with novel treatment strategies. For this purpose we need to understand the early events of disease onset and progression. Due to the limitations of such studies in human beings and animals, I propose to develop human in vitro models of healthy bone marrow, which can be induced to develop hematological and musculoskeletal diseases with high incidence, namely leukemia, multiple myeloma and bone metastasis. Previously my team and I developed a simplified bone marrow analog that bases on macroporous, cell-laden biomaterials with tunable physical, biochemical and biological properties. This versatility will enable us to create biomimetic human in vitro models of the human bone marrow in health and disease, which are ground-breaking in their applicability to investigate how the regenerative balance of bone marrow is maintained in health and disturbed in the different kinds of diseases – a prerequisite to develop novel regenerative treatments – as well as their scalability and thus suitability as in vitro test systems for screening of novel drugs or treatments.
Max ERC Funding
1 499 920 €
Duration
Start date: 2018-02-01, End date: 2023-12-31
Project acronym BODYBUILDING
Project Building body representations: An investigation of the formation and maintenance of body representations
Researcher (PI) Matthew Ryan Longo
Host Institution (HI) BIRKBECK COLLEGE - UNIVERSITY OF LONDON
Country United Kingdom
Call Details Starting Grant (StG), SH4, ERC-2013-StG
Summary "The body is ubiquitous in perceptual experience and is central to our sense of self and personal identity. Disordered body representations are central to several serious psychiatric and neurological disorders. Thus, identifying factors which contribute to the formation and maintenance of body representations is crucial for understanding how body representation goes awry in disease, and how it might be corrected by potential novel therapeutic interventions. Several types of sensory signals provide information about the body, making the body the multisensory object, par excellence. Little is known, however, about how information from somatosensation and from vision is integrated to construct the rich body representations we all experience. This project fills this gap in current understanding by determining how the brain builds body representations (BODYBUILDING). A hierarchical model of body representation is proposed, providing a novel theoretical framework for understanding the diversity of body representations and how they interact. The key motivating hypothesis is that body representation is determined by the dialectic between two major cognitive processes. First, from the bottom-up, somatosensation represents the body surface as a mosaic of discrete receptive fields, which become progressively agglomerated into larger and larger units of organisation, a process I call fusion. Second, from the top-down, vision starts out depicting the body as an undifferentiated whole, which is progressively broken into smaller parts, a process I call segmentation. Thus, body representation operates from the bottom-up as a process of fusion of primitive elements into larger complexes, as well as from the top-down as a process of segmentation of an initially undifferentiated whole into more basic parts. This project uses a combination of psychophysical, electrophysiological, and neuroimaging methods to provide fundamental insight into how we come to represent our body."
Summary
"The body is ubiquitous in perceptual experience and is central to our sense of self and personal identity. Disordered body representations are central to several serious psychiatric and neurological disorders. Thus, identifying factors which contribute to the formation and maintenance of body representations is crucial for understanding how body representation goes awry in disease, and how it might be corrected by potential novel therapeutic interventions. Several types of sensory signals provide information about the body, making the body the multisensory object, par excellence. Little is known, however, about how information from somatosensation and from vision is integrated to construct the rich body representations we all experience. This project fills this gap in current understanding by determining how the brain builds body representations (BODYBUILDING). A hierarchical model of body representation is proposed, providing a novel theoretical framework for understanding the diversity of body representations and how they interact. The key motivating hypothesis is that body representation is determined by the dialectic between two major cognitive processes. First, from the bottom-up, somatosensation represents the body surface as a mosaic of discrete receptive fields, which become progressively agglomerated into larger and larger units of organisation, a process I call fusion. Second, from the top-down, vision starts out depicting the body as an undifferentiated whole, which is progressively broken into smaller parts, a process I call segmentation. Thus, body representation operates from the bottom-up as a process of fusion of primitive elements into larger complexes, as well as from the top-down as a process of segmentation of an initially undifferentiated whole into more basic parts. This project uses a combination of psychophysical, electrophysiological, and neuroimaging methods to provide fundamental insight into how we come to represent our body."
Max ERC Funding
1 497 715 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym Brain2Bee
Project How dopamine affects social and motor ability - from the human brain to the honey bee
Researcher (PI) Jennifer COOK
Host Institution (HI) THE UNIVERSITY OF BIRMINGHAM
Country United Kingdom
Call Details Starting Grant (StG), SH4, ERC-2017-STG
Summary Parkinson’s Disease is usually characterised by motor impairment, and Autism by social difficulties. However, the co-occurrence of social and motor symptoms is critically underappreciated; Parkinson’s Disease patients exhibit social symptoms, and motor difficulties are common in Autism. At present, the biological basis of co-occurring social and motor impairment is unclear. Notably, both Autism and Parkinson’s Disease have been associated with dopamine (DA) system dysfunction and, in non-clinical populations, DA has been linked with social and motor ability. These disparate strands of research have never been combined.
Brain2Bee will use psychopharmacology in typical individuals to develop a model of the relationship between DA, Motor, and Social behaviour – the DAMS model. Brain2Bee will use sophisticated genetic analysis to refine DAMS, elucidating the contributions of DA-related biological processes (e.g. synthesis, receptor expression, reuptake). Brain2Bee will then test DAMS’ predictions in patients with Parkinson’s Disease and Autism. Finally, Brain2Bee will investigate whether DAMS generalises to an animal model, the honey bee, enabling future research to unpack the cascade of biological events linking DA-related genes with social and motor behaviour.
Brain2Bee will unite disparate research fields and establish the DAMS model. The causal structure of DAMS will identify the impact of dopaminergic variation on social and motor function in clinical and non-clinical populations, elucidating, for example, whether social difficulties in Parkinson’s Disease are a product of the motor difficulties caused by DA dysfunction. DAMS’ biological specificity will provide unique insight into the DA-related processes linking social and motor difficulties in Autism. Thus, Brain2Bee will determine the type of dopaminergic drugs (e.g. receptor blockers, reuptake inhibitors) most likely to improve both social and motor function.
Summary
Parkinson’s Disease is usually characterised by motor impairment, and Autism by social difficulties. However, the co-occurrence of social and motor symptoms is critically underappreciated; Parkinson’s Disease patients exhibit social symptoms, and motor difficulties are common in Autism. At present, the biological basis of co-occurring social and motor impairment is unclear. Notably, both Autism and Parkinson’s Disease have been associated with dopamine (DA) system dysfunction and, in non-clinical populations, DA has been linked with social and motor ability. These disparate strands of research have never been combined.
Brain2Bee will use psychopharmacology in typical individuals to develop a model of the relationship between DA, Motor, and Social behaviour – the DAMS model. Brain2Bee will use sophisticated genetic analysis to refine DAMS, elucidating the contributions of DA-related biological processes (e.g. synthesis, receptor expression, reuptake). Brain2Bee will then test DAMS’ predictions in patients with Parkinson’s Disease and Autism. Finally, Brain2Bee will investigate whether DAMS generalises to an animal model, the honey bee, enabling future research to unpack the cascade of biological events linking DA-related genes with social and motor behaviour.
Brain2Bee will unite disparate research fields and establish the DAMS model. The causal structure of DAMS will identify the impact of dopaminergic variation on social and motor function in clinical and non-clinical populations, elucidating, for example, whether social difficulties in Parkinson’s Disease are a product of the motor difficulties caused by DA dysfunction. DAMS’ biological specificity will provide unique insight into the DA-related processes linking social and motor difficulties in Autism. Thus, Brain2Bee will determine the type of dopaminergic drugs (e.g. receptor blockers, reuptake inhibitors) most likely to improve both social and motor function.
Max ERC Funding
1 783 147 €
Duration
Start date: 2018-07-01, End date: 2023-06-30
Project acronym BRAINandMINDFULNESS
Project Impact of Mental Training of Attention and Emotion Regulation on Brain and Behavior: Implications for Neuroplasticity, Well-Being and Mindfulness Psychotherapy Research
Researcher (PI) Antoine Lutz
Host Institution (HI) INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE
Country France
Call Details Consolidator Grant (CoG), SH4, ERC-2013-CoG
Summary Mindfulness-based therapy has become an increasingly popular treatment to reduce stress, increase well-being and prevent relapse in depression. A key component of these therapies includes mindfulness practice that intends to train attention to detect and regulate afflictive cognitive and emotional patterns. Beyond its therapeutic application, the empirical study of mindfulness practice also represents a promising tool to understand practices that intentionally cultivate present-centeredness and openness to experience. Despite its clinical efficacy, little remains known about its means of action. Antithetic to this mode of experiential self-focus are states akin to depression, that are conducive of biased attention toward negativity, biased thoughts and rumination, and dysfunctional self schemas. The proposed research aims at implementing an innovative framework to scientifically investigate the experiential, cognitive, and neural processes underlining mindfulness practice building on the current neurocognitive understanding of the functional and anatomical architecture of cognitive control, and depression. To identify these mechanisms, this project aims to use paradigms from cognitive, and affective neuroscience (MEG, intracortical EEG, fMRI) to measure the training and plasticity of emotion regulation and cognitive control, and their effect on automatic, self-related affective processes. Using a cross-sectional design, this project aims to compare participants with trait differences in experiential self-focus mode. Using a longitudinal design, this project aims to explore mindfulness-practice training’s effect using a standard mindfulness-based intervention and an active control intervention. The PI has pioneered the neuroscientific investigation of mindfulness in the US and aspires to assemble a research team in France and a network of collaborators in Europe to pursue this research, which could lead to important outcomes for neuroscience, and mental health.
Summary
Mindfulness-based therapy has become an increasingly popular treatment to reduce stress, increase well-being and prevent relapse in depression. A key component of these therapies includes mindfulness practice that intends to train attention to detect and regulate afflictive cognitive and emotional patterns. Beyond its therapeutic application, the empirical study of mindfulness practice also represents a promising tool to understand practices that intentionally cultivate present-centeredness and openness to experience. Despite its clinical efficacy, little remains known about its means of action. Antithetic to this mode of experiential self-focus are states akin to depression, that are conducive of biased attention toward negativity, biased thoughts and rumination, and dysfunctional self schemas. The proposed research aims at implementing an innovative framework to scientifically investigate the experiential, cognitive, and neural processes underlining mindfulness practice building on the current neurocognitive understanding of the functional and anatomical architecture of cognitive control, and depression. To identify these mechanisms, this project aims to use paradigms from cognitive, and affective neuroscience (MEG, intracortical EEG, fMRI) to measure the training and plasticity of emotion regulation and cognitive control, and their effect on automatic, self-related affective processes. Using a cross-sectional design, this project aims to compare participants with trait differences in experiential self-focus mode. Using a longitudinal design, this project aims to explore mindfulness-practice training’s effect using a standard mindfulness-based intervention and an active control intervention. The PI has pioneered the neuroscientific investigation of mindfulness in the US and aspires to assemble a research team in France and a network of collaborators in Europe to pursue this research, which could lead to important outcomes for neuroscience, and mental health.
Max ERC Funding
1 868 520 €
Duration
Start date: 2014-11-01, End date: 2020-10-31
Project acronym BRAINIMAGES
Project "How do we keep apart internally generated mental images from externally induced percepts? Dissociating mental imagery, working memory and conscious perception."
Researcher (PI) Juha Tapani Silvanto
Host Institution (HI) THE UNIVERSITY OF WESTMINSTER LBG
Country United Kingdom
Call Details Starting Grant (StG), SH4, ERC-2013-StG
Summary "Conscious experiences normally result from the flow of external input into our sensory systems. However, our minds are also able to create conscious percepts in the absence of any sensory stimulation; these internally generated percepts are referred to as mental images, and they have many similarities with real visual percepts; consequently, mental imagery is often referred to as “seeing in the mind’s eye”. Mental imagery is also believed to be closely related to working memory, a mechanism which can maintain “offline” representations of visual stimuli no longer in the observer’s view, as both involve internal representations of previously seen visual attributes. Indeed, visual imagery is often thought of as a conscious window into the content of memory representations. Imagery, working memory, and conscious perception are thus thought to rely on very similar mechanisms. However, in everyday life we are generally able to keep apart the constructs of our imagination from real physical events; this begs the question of how the brain distinguishes internal mental images from externally induced visual percepts. To answer this question, the proposed work aims to isolate the cortical mechanisms associated uniquely with WM and imagery independently of each other and independently of the influence of external conscious percepts. Furthermore, by the use of neuroimaging and brain stimulation, we aim to determine the cortical mechanisms which keep apart internally generated and externally induced percepts, in both health and disease. This is a question of great clinical interest, as the ability to distinguish the perceived from the imagined is impoverished in psychotic disorders. In addition to revealing the mechanisms underlying this confusion, the present project aims to alleviate it in psychotic patients by the use of brain stimulation. The project will thus significantly improve our understanding of these cognitive processes and will also have clinical implications."
Summary
"Conscious experiences normally result from the flow of external input into our sensory systems. However, our minds are also able to create conscious percepts in the absence of any sensory stimulation; these internally generated percepts are referred to as mental images, and they have many similarities with real visual percepts; consequently, mental imagery is often referred to as “seeing in the mind’s eye”. Mental imagery is also believed to be closely related to working memory, a mechanism which can maintain “offline” representations of visual stimuli no longer in the observer’s view, as both involve internal representations of previously seen visual attributes. Indeed, visual imagery is often thought of as a conscious window into the content of memory representations. Imagery, working memory, and conscious perception are thus thought to rely on very similar mechanisms. However, in everyday life we are generally able to keep apart the constructs of our imagination from real physical events; this begs the question of how the brain distinguishes internal mental images from externally induced visual percepts. To answer this question, the proposed work aims to isolate the cortical mechanisms associated uniquely with WM and imagery independently of each other and independently of the influence of external conscious percepts. Furthermore, by the use of neuroimaging and brain stimulation, we aim to determine the cortical mechanisms which keep apart internally generated and externally induced percepts, in both health and disease. This is a question of great clinical interest, as the ability to distinguish the perceived from the imagined is impoverished in psychotic disorders. In addition to revealing the mechanisms underlying this confusion, the present project aims to alleviate it in psychotic patients by the use of brain stimulation. The project will thus significantly improve our understanding of these cognitive processes and will also have clinical implications."
Max ERC Funding
1 280 680 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym BREAD
Project Breaking the curse of dimensionality: numerical challenges in high dimensional analysis and simulation
Researcher (PI) Albert Cohen
Host Institution (HI) UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6
Country France
Call Details Advanced Grant (AdG), PE1, ERC-2013-ADG
Summary "This project is concerned with problems that involve a very large number of variables, and whose efficient numerical treatment is challenged by the so-called curse of dimensionality, meaning that computational complexity increases exponentially in the variable dimension.
The PI intend to establish in his host institution a scientific leadership on the mathematical understanding and numerical treatment of these problems, and to contribute to the development of this area of research through international collaborations, organization of workshops and research schools, and training of postdocs and PhD students.
High dimensional problems are ubiquitous in an increasing number of areas of scientific computing, among which statistical or active learning theory, parametric and stochastic partial differential equations, parameter optimization in numerical codes. There is a high demand from the industrial world of efficient numerical methods for treating such problems.
The practical success of various numerical algorithms, that have been developed in recent years in these application areas, is often limited to moderate dimensional setting.
In addition, these developments tend to be, as a rule, rather problem specific and not always founded on a solid mathematical analysis.
The central scientific objectives of this project are therefore: (i) to identify fundamental mathematical principles behind overcoming the curse of dimensionality, (ii) to understand how these principles enter in relevant instances of the above applications, and (iii) based on the these principles beyond particular problem classes, to develop broadly applicable numerical strategies that benefit from such mechanisms.
The performances of these strategies should be provably independent of the variable dimension, and in that sense break the curse of dimensionality. They will be tested on both synthetic benchmark tests and real world problems coming from the afore-mentioned applications."
Summary
"This project is concerned with problems that involve a very large number of variables, and whose efficient numerical treatment is challenged by the so-called curse of dimensionality, meaning that computational complexity increases exponentially in the variable dimension.
The PI intend to establish in his host institution a scientific leadership on the mathematical understanding and numerical treatment of these problems, and to contribute to the development of this area of research through international collaborations, organization of workshops and research schools, and training of postdocs and PhD students.
High dimensional problems are ubiquitous in an increasing number of areas of scientific computing, among which statistical or active learning theory, parametric and stochastic partial differential equations, parameter optimization in numerical codes. There is a high demand from the industrial world of efficient numerical methods for treating such problems.
The practical success of various numerical algorithms, that have been developed in recent years in these application areas, is often limited to moderate dimensional setting.
In addition, these developments tend to be, as a rule, rather problem specific and not always founded on a solid mathematical analysis.
The central scientific objectives of this project are therefore: (i) to identify fundamental mathematical principles behind overcoming the curse of dimensionality, (ii) to understand how these principles enter in relevant instances of the above applications, and (iii) based on the these principles beyond particular problem classes, to develop broadly applicable numerical strategies that benefit from such mechanisms.
The performances of these strategies should be provably independent of the variable dimension, and in that sense break the curse of dimensionality. They will be tested on both synthetic benchmark tests and real world problems coming from the afore-mentioned applications."
Max ERC Funding
1 848 000 €
Duration
Start date: 2014-01-01, End date: 2018-12-31
Project acronym BUBPOL
Project Monetary Policy and Asset Price Bubbles
Researcher (PI) Jordi GalI Garreta
Host Institution (HI) Centre de Recerca en Economia Internacional (CREI)
Country Spain
Call Details Advanced Grant (AdG), SH1, ERC-2013-ADG
Summary "The proposed research project seeks to further our understanding on two important questions for the design of monetary policy:
(a) What are the effects of monetary policy interventions on asset price bubbles?
(b) How should monetary policy be conducted in the presence of asset price bubbles?
The first part of the project will focus on the development of a theoretical framework that can be used to analyze rigorously the implications of alternative monetary policy rules in the presence of asset price bubbles, and to characterize the optimal monetary policy. In particular, I plan to use such a framework to assess the merits of a “leaning against the wind” strategy, which calls for a systematic rise in interest rates in response to the development of a bubble.
The second part of the project will seek to produce evidence, both empirical and experimental, regarding the effects of monetary policy on asset price bubbles. The empirical evidence will seek to identify and estimate the sign and response of asset price bubbles to interest rate changes, exploiting the potential differences in the joint behavior of interest rates and asset prices during “bubbly” episodes, in comparison to “normal” times. In addition, I plan to conduct some lab experiments in order to shed some light on the link between monetary policy and bubbles. Participants will trade two assets, a one-period riskless asset and a long-lived stock, in an environment consistent with the existence of asset price bubbles in equilibrium. Monetary policy interventions will take the form of changes in the short-term interest rate, engineered by the experimenter. The experiments will allow us to evaluate some of the predictions of the theoretical models regarding the impact of monetary policy on the dynamics of bubbles, as well as the effectiveness of “leaning against the wind” policies."
Summary
"The proposed research project seeks to further our understanding on two important questions for the design of monetary policy:
(a) What are the effects of monetary policy interventions on asset price bubbles?
(b) How should monetary policy be conducted in the presence of asset price bubbles?
The first part of the project will focus on the development of a theoretical framework that can be used to analyze rigorously the implications of alternative monetary policy rules in the presence of asset price bubbles, and to characterize the optimal monetary policy. In particular, I plan to use such a framework to assess the merits of a “leaning against the wind” strategy, which calls for a systematic rise in interest rates in response to the development of a bubble.
The second part of the project will seek to produce evidence, both empirical and experimental, regarding the effects of monetary policy on asset price bubbles. The empirical evidence will seek to identify and estimate the sign and response of asset price bubbles to interest rate changes, exploiting the potential differences in the joint behavior of interest rates and asset prices during “bubbly” episodes, in comparison to “normal” times. In addition, I plan to conduct some lab experiments in order to shed some light on the link between monetary policy and bubbles. Participants will trade two assets, a one-period riskless asset and a long-lived stock, in an environment consistent with the existence of asset price bubbles in equilibrium. Monetary policy interventions will take the form of changes in the short-term interest rate, engineered by the experimenter. The experiments will allow us to evaluate some of the predictions of the theoretical models regarding the impact of monetary policy on the dynamics of bubbles, as well as the effectiveness of “leaning against the wind” policies."
Max ERC Funding
799 200 €
Duration
Start date: 2014-01-01, End date: 2017-12-31
Project acronym CALLIOPE
Project voCAL articuLations Of Parliamentary Identity and Empire
Researcher (PI) Josephine HOEGAERTS
Host Institution (HI) HELSINGIN YLIOPISTO
Country Finland
Call Details Starting Grant (StG), SH5, ERC-2017-STG
Summary What did politicians sound like before they were on the radio and television? The fascination with politicians’ vocal characteristics and quirks is often connected to the rise of audio-visual media. But in the age of the printed press, political representatives also had to ‘speak well’ – without recourse to amplification.
Historians and linguists have provided sophisticated understandings of the discursive and aesthetic aspects of politicians’ language, but have largely ignored the importance of the acoustic character of their speech. CALLIOPE studies how vocal performances in parliament have influenced the course of political careers and political decision making in the 19th century. It shows how politicians’ voices helped to define the diverse identities they articulated. In viewing parliament through the lens of audibility, the project offers a new perspective on political representation by reframing how authority was embodied (through performances that were heard, rather than seen). It does so for the Second Chamber in Britain and France, and in dialogue with ‘colonial’ modes of speech in Kolkata and Algiers, which, we argue, exerted considerable influence on European vocal culture.
The project devises an innovative methodological approach to include the sound of the human voice in studies of the past that precede acoustic recording. Adapting methods developed in sound studies and combining them with the tools of political history, the project proposes a new way to analyse parliamentary reporting, while also drawing on a variety of sources that are rarely connected to the history of politics.
The main source material for the study comprise transcripts of parliamentary speech (official reports and renditions by journalists). However, the project also mobilizes educational, satirical and fictional sources to elucidate the convoluted processes that led to the cultivation, exertion, reception and evaluation of a voice ‘fit’ for nineteenth-century politics.
Summary
What did politicians sound like before they were on the radio and television? The fascination with politicians’ vocal characteristics and quirks is often connected to the rise of audio-visual media. But in the age of the printed press, political representatives also had to ‘speak well’ – without recourse to amplification.
Historians and linguists have provided sophisticated understandings of the discursive and aesthetic aspects of politicians’ language, but have largely ignored the importance of the acoustic character of their speech. CALLIOPE studies how vocal performances in parliament have influenced the course of political careers and political decision making in the 19th century. It shows how politicians’ voices helped to define the diverse identities they articulated. In viewing parliament through the lens of audibility, the project offers a new perspective on political representation by reframing how authority was embodied (through performances that were heard, rather than seen). It does so for the Second Chamber in Britain and France, and in dialogue with ‘colonial’ modes of speech in Kolkata and Algiers, which, we argue, exerted considerable influence on European vocal culture.
The project devises an innovative methodological approach to include the sound of the human voice in studies of the past that precede acoustic recording. Adapting methods developed in sound studies and combining them with the tools of political history, the project proposes a new way to analyse parliamentary reporting, while also drawing on a variety of sources that are rarely connected to the history of politics.
The main source material for the study comprise transcripts of parliamentary speech (official reports and renditions by journalists). However, the project also mobilizes educational, satirical and fictional sources to elucidate the convoluted processes that led to the cultivation, exertion, reception and evaluation of a voice ‘fit’ for nineteenth-century politics.
Max ERC Funding
1 499 905 €
Duration
Start date: 2018-03-01, End date: 2023-02-28
Project acronym CANCERMETAB
Project Metabolic requirements for prostate cancer cell fitness
Researcher (PI) Arkaitz Carracedo Perez
Host Institution (HI) ASOCIACION CENTRO DE INVESTIGACION COOPERATIVA EN BIOCIENCIAS
Country Spain
Call Details Starting Grant (StG), LS4, ERC-2013-StG
Summary The actual view of cellular transformation and cancer progression supports the notion that cancer cells must undergo metabolic reprogramming in order to survive in a hostile environment. This field has experienced a renaissance in recent years, with the discovery of cancer genes regulating metabolic homeostasis, in turn being accepted as an emergent hallmark of cancer. Prostate cancer presents one of the highest incidences in men mostly in developed societies and exhibits a significant association with lifestyle environmental factors. Prostate cancer recurrence is thought to rely on a subpopulation of cancer cells with low-androgen requirements, high self-renewal potential and multidrug resistance, defined as cancer-initiating cells. However, whether this cancer cell fraction presents genuine metabolic properties that can be therapeutically relevant remains undefined. In CancerMetab, we aim to understand the potential benefit of monitoring and manipulating metabolism for prostate cancer prevention, detection and therapy. My group will carry out a multidisciplinary strategy, comprising cellular systems, genetic mouse models of prostate cancer, human epidemiological and clinical studies and bioinformatic analysis. The singularity of this proposal stems from the approach to the three key aspects that we propose to study. For prostate cancer prevention, we will use our faithful mouse model of prostate cancer to shed light on the contribution of obesity to prostate cancer. For prostate cancer detection, we will overcome the consistency issues of previously reported metabolic biomarkers by adding robustness to the human studies with mouse data integration. For prostate cancer therapy, we will focus on a cell population for which the metabolic requirements and the potential of targeting them for therapy have been overlooked to date, that is the prostate cancer-initiating cell compartment.
Summary
The actual view of cellular transformation and cancer progression supports the notion that cancer cells must undergo metabolic reprogramming in order to survive in a hostile environment. This field has experienced a renaissance in recent years, with the discovery of cancer genes regulating metabolic homeostasis, in turn being accepted as an emergent hallmark of cancer. Prostate cancer presents one of the highest incidences in men mostly in developed societies and exhibits a significant association with lifestyle environmental factors. Prostate cancer recurrence is thought to rely on a subpopulation of cancer cells with low-androgen requirements, high self-renewal potential and multidrug resistance, defined as cancer-initiating cells. However, whether this cancer cell fraction presents genuine metabolic properties that can be therapeutically relevant remains undefined. In CancerMetab, we aim to understand the potential benefit of monitoring and manipulating metabolism for prostate cancer prevention, detection and therapy. My group will carry out a multidisciplinary strategy, comprising cellular systems, genetic mouse models of prostate cancer, human epidemiological and clinical studies and bioinformatic analysis. The singularity of this proposal stems from the approach to the three key aspects that we propose to study. For prostate cancer prevention, we will use our faithful mouse model of prostate cancer to shed light on the contribution of obesity to prostate cancer. For prostate cancer detection, we will overcome the consistency issues of previously reported metabolic biomarkers by adding robustness to the human studies with mouse data integration. For prostate cancer therapy, we will focus on a cell population for which the metabolic requirements and the potential of targeting them for therapy have been overlooked to date, that is the prostate cancer-initiating cell compartment.
Max ERC Funding
1 498 686 €
Duration
Start date: 2013-11-01, End date: 2019-10-31
Project acronym CardHeal
Project Novel strategies for mammalian cardiac repair
Researcher (PI) Eldad TZAHOR
Host Institution (HI) WEIZMANN INSTITUTE OF SCIENCE
Country Israel
Call Details Advanced Grant (AdG), LS4, ERC-2017-ADG
Summary Recent ground-breaking studies by my team and others demonstrated that latent heart regeneration machinery can be awakened even in adult mammals. My lab’s main contribution is the identification of two, apparently different, molecular mechanisms for augmenting cardiac regeneration in adult mice. The first requires transient activation of ErbB2 signalling in cardiomyocytes and the second involves extra cellular matrix-driven signalling by the proteoglycan agrin. Impressively, both mechanisms promote a major regenerative response that, in turn, enhances cardiac repair. In CardHeal we will use the two powerful regenerative models to obtain a holistic view of cardiac regeneration and repair mechanisms in mammals (mice and pigs).
In Aim 1, we will explore the molecular mechanisms underlying our discovery that transient activation of ErbB2 in adult cardiomyocytes results in massive cardiomyocyte dedifferentiation and proliferation followed by new vessels formation, scar resolution and functional cardiac repair. Specific objectives focus on ErbB2-Yap/Hippo signalling during cardiac regeneration; ErbB2 activation in a chronic heart failure model; ErbB2-induced regenerative EMT-like process; and cardiomyocyte re-differentiation.
In Aim 2, we will investigate the therapeutic effects of agrin, whose administration into injured hearts of mice and pigs elicits a significant regenerative response. Specific objectives are matrix-related cardiac regenerative cues, modulation of the immune response, angiogenesis, matrix remodeling, and developing a preclinical, large animal model to study agrin efficacy for cardiac repair.
Interrogating the differences and similarities between our two regenerative models should give us a detailed roadmap for cardiac regenerative medicine by providing deeper knowledge of the regenerative process in the heart and pointing to novel targets for cardiac repair in human patients.
Summary
Recent ground-breaking studies by my team and others demonstrated that latent heart regeneration machinery can be awakened even in adult mammals. My lab’s main contribution is the identification of two, apparently different, molecular mechanisms for augmenting cardiac regeneration in adult mice. The first requires transient activation of ErbB2 signalling in cardiomyocytes and the second involves extra cellular matrix-driven signalling by the proteoglycan agrin. Impressively, both mechanisms promote a major regenerative response that, in turn, enhances cardiac repair. In CardHeal we will use the two powerful regenerative models to obtain a holistic view of cardiac regeneration and repair mechanisms in mammals (mice and pigs).
In Aim 1, we will explore the molecular mechanisms underlying our discovery that transient activation of ErbB2 in adult cardiomyocytes results in massive cardiomyocyte dedifferentiation and proliferation followed by new vessels formation, scar resolution and functional cardiac repair. Specific objectives focus on ErbB2-Yap/Hippo signalling during cardiac regeneration; ErbB2 activation in a chronic heart failure model; ErbB2-induced regenerative EMT-like process; and cardiomyocyte re-differentiation.
In Aim 2, we will investigate the therapeutic effects of agrin, whose administration into injured hearts of mice and pigs elicits a significant regenerative response. Specific objectives are matrix-related cardiac regenerative cues, modulation of the immune response, angiogenesis, matrix remodeling, and developing a preclinical, large animal model to study agrin efficacy for cardiac repair.
Interrogating the differences and similarities between our two regenerative models should give us a detailed roadmap for cardiac regenerative medicine by providing deeper knowledge of the regenerative process in the heart and pointing to novel targets for cardiac repair in human patients.
Max ERC Funding
2 268 750 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym CARDIOREDOX
Project Redox sensing and signalling in cardiovascular health and disease
Researcher (PI) Philip Eaton
Host Institution (HI) KING'S COLLEGE LONDON
Country United Kingdom
Call Details Advanced Grant (AdG), LS4, ERC-2013-ADG
Summary "We want to determine how oxidants are sensed and transduced into a biological effect within the cardiovascular system. The proposed work will focus on thiol-based redox sensors, defining their role in heart and blood vessel function during health and disease. Although this laboratory has studied the molecular basis of redox signaling for more than a decade, the subject is still in its relative infancy with considerable scope for major advances. Oxidant signaling remains a ‘hot topic’ with high profile studies confirming a fundamental role for redox control of protein and cellular function continuing to emerge. The molecular basis of redox sensing is the reaction of an oxidant with target proteins. This gives rise to oxidative post-translational modifications, most commonly of cysteinyl thiols, potentially altering the activity of proteins to regulate cell or tissue function. One of the reasons there are so many unanswered questions about redox sensing and signaling is the diversity of oxidant molecules produced by cells that can interact with sensor proteins to alter their function. This application is aimed at extending our knowledge of redox sensing and signalling, allowing us to define its importance in cardiovascular health and disease."
Summary
"We want to determine how oxidants are sensed and transduced into a biological effect within the cardiovascular system. The proposed work will focus on thiol-based redox sensors, defining their role in heart and blood vessel function during health and disease. Although this laboratory has studied the molecular basis of redox signaling for more than a decade, the subject is still in its relative infancy with considerable scope for major advances. Oxidant signaling remains a ‘hot topic’ with high profile studies confirming a fundamental role for redox control of protein and cellular function continuing to emerge. The molecular basis of redox sensing is the reaction of an oxidant with target proteins. This gives rise to oxidative post-translational modifications, most commonly of cysteinyl thiols, potentially altering the activity of proteins to regulate cell or tissue function. One of the reasons there are so many unanswered questions about redox sensing and signaling is the diversity of oxidant molecules produced by cells that can interact with sensor proteins to alter their function. This application is aimed at extending our knowledge of redox sensing and signalling, allowing us to define its importance in cardiovascular health and disease."
Max ERC Funding
2 255 659 €
Duration
Start date: 2013-12-01, End date: 2018-11-30
Project acronym CAREGIVING
Project The plasticity of parental caregiving: characterizing the brain mechanisms underlying normal and disrupted development of parenting
Researcher (PI) Morten Lindtner Kringelbach
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Country United Kingdom
Call Details Consolidator Grant (CoG), SH4, ERC-2013-CoG
Summary The survival of species depends critically on infant survival and development. Human infants are, however, vulnerable and completely dependent on caregiving parents, not just for survival but also for their development. Darwin and Lorenz have long argued that there are specific infant facial features that elicit attention and responsiveness in adults. Until recently this has not been possible to study but neuroimaging has started to reveal some of the brain circuitry. However, it is not known how the brain changes over time in new parents as they gain experience with caregiving. Equally, little is known about the underlying brain mechanisms associated with disruption to normal parental caregiving.
I propose to study the brain changes associated with normal and disrupted development of parental caregiving in new parents who will undergo neuroimaging and psychological testing using standardised databases and test batteries of caregiving tasks. Subproject 1 will investigate the normal development of parental caregiving, beginning before pregnancy, using a longitudinal study of structural and functional brain changes in both women and men combined with their behavioural measures on caregiving tasks.
Subproject 2 will investigate the disrupted development of parental caregiving using a cross-sectional design to study the brain and behavioural effects on caregiving during potential disruptive changes to the parent or child. Specifically, my focus will be on A) parental sleep disruption and B) infant craniofacial abnormality of cleft lip and palate.
Finally, understanding the full brain mechanisms and architecture underlying parental caregiving requires a mechanistic synthesis of the findings of normal and disrupted development. Subproject 3 will use our existing advanced computational models to combine the findings from normal and disrupted development in order to identify the fundamental brain mechanisms and networks underlying the development of parenting.
Summary
The survival of species depends critically on infant survival and development. Human infants are, however, vulnerable and completely dependent on caregiving parents, not just for survival but also for their development. Darwin and Lorenz have long argued that there are specific infant facial features that elicit attention and responsiveness in adults. Until recently this has not been possible to study but neuroimaging has started to reveal some of the brain circuitry. However, it is not known how the brain changes over time in new parents as they gain experience with caregiving. Equally, little is known about the underlying brain mechanisms associated with disruption to normal parental caregiving.
I propose to study the brain changes associated with normal and disrupted development of parental caregiving in new parents who will undergo neuroimaging and psychological testing using standardised databases and test batteries of caregiving tasks. Subproject 1 will investigate the normal development of parental caregiving, beginning before pregnancy, using a longitudinal study of structural and functional brain changes in both women and men combined with their behavioural measures on caregiving tasks.
Subproject 2 will investigate the disrupted development of parental caregiving using a cross-sectional design to study the brain and behavioural effects on caregiving during potential disruptive changes to the parent or child. Specifically, my focus will be on A) parental sleep disruption and B) infant craniofacial abnormality of cleft lip and palate.
Finally, understanding the full brain mechanisms and architecture underlying parental caregiving requires a mechanistic synthesis of the findings of normal and disrupted development. Subproject 3 will use our existing advanced computational models to combine the findings from normal and disrupted development in order to identify the fundamental brain mechanisms and networks underlying the development of parenting.
Max ERC Funding
1 997 121 €
Duration
Start date: 2014-05-01, End date: 2019-04-30
Project acronym CatDT
Project Categorified Donaldson-Thomas Theory
Researcher (PI) Nicholas David James (Ben) DAVISON
Host Institution (HI) THE UNIVERSITY OF EDINBURGH
Country United Kingdom
Call Details Starting Grant (StG), PE1, ERC-2017-STG
Summary According to string theory, coherent sheaves on three-dimensional Calabi-Yau spaces encode fundamental properties of the universe. On the other hand, they have a purely mathematical definition. We will develop and use the new field of categorified Donaldson-Thomas (DT) theory, which counts these objects. Via the powerful perspective of noncommutative algebraic geometry, this theory has found application in recent years in a wide variety of contexts, far from classical algebraic geometry.
Categorification has proved tremendously powerful across mathematics, for example the entire subject of algebraic topology was started by the categorification of Betti numbers. The categorification of DT theory leads to the replacement of the numbers of DT theory by vector spaces, of which these numbers are the dimensions. In the area of categorified DT theory we have been able to prove fundamental conjectures upgrading the famous wall crossing formula and integrality conjecture in noncommutative algebraic geometry. The first three projects involve applications of the resulting new subject:
1. Complete the categorification of quantum cluster algebras, proving the strong positivity conjecture.
2. Use cohomological DT theory to prove the outstanding conjectures in the nonabelian Hodge theory of Riemann surfaces, and the subject of Higgs bundles.
3. Prove the comparison conjecture, realising the study of Yangian quantum groups and the geometric representation theory around them as a special case of DT theory.
The final objective involves coming full circle, and applying our recent advances in noncommutative DT theory to the original theory that united string theory with algebraic geometry:
4. Develop a generalised theory of categorified DT theory extending our results in noncommutative DT theory, proving the integrality conjecture for categories of coherent sheaves on Calabi-Yau 3-folds.
Summary
According to string theory, coherent sheaves on three-dimensional Calabi-Yau spaces encode fundamental properties of the universe. On the other hand, they have a purely mathematical definition. We will develop and use the new field of categorified Donaldson-Thomas (DT) theory, which counts these objects. Via the powerful perspective of noncommutative algebraic geometry, this theory has found application in recent years in a wide variety of contexts, far from classical algebraic geometry.
Categorification has proved tremendously powerful across mathematics, for example the entire subject of algebraic topology was started by the categorification of Betti numbers. The categorification of DT theory leads to the replacement of the numbers of DT theory by vector spaces, of which these numbers are the dimensions. In the area of categorified DT theory we have been able to prove fundamental conjectures upgrading the famous wall crossing formula and integrality conjecture in noncommutative algebraic geometry. The first three projects involve applications of the resulting new subject:
1. Complete the categorification of quantum cluster algebras, proving the strong positivity conjecture.
2. Use cohomological DT theory to prove the outstanding conjectures in the nonabelian Hodge theory of Riemann surfaces, and the subject of Higgs bundles.
3. Prove the comparison conjecture, realising the study of Yangian quantum groups and the geometric representation theory around them as a special case of DT theory.
The final objective involves coming full circle, and applying our recent advances in noncommutative DT theory to the original theory that united string theory with algebraic geometry:
4. Develop a generalised theory of categorified DT theory extending our results in noncommutative DT theory, proving the integrality conjecture for categories of coherent sheaves on Calabi-Yau 3-folds.
Max ERC Funding
1 239 435 €
Duration
Start date: 2017-11-01, End date: 2023-04-30
Project acronym CATENA
Project Commentary Manuscripts in the History and Transmission of the Greek New Testament
Researcher (PI) HUGH ALEXANDER GERVASE HOUGHTON
Host Institution (HI) THE UNIVERSITY OF BIRMINGHAM
Country United Kingdom
Call Details Consolidator Grant (CoG), SH5, ERC-2017-COG
Summary Manuscripts which contain commentary alongside the biblical text are some of the most significant and complicated witnesses to the Greek New Testament. First compiled around the fifth century, the commentaries consist of chains of extracts from earlier writers (catenae). These manuscripts became the main way in which users encountered both the text and the interpretation of the New Testament; revised editions produced in the eleventh and twelfth centuries continued to hold the field until the invention of printing.
Recent advances have shown that commentary manuscripts play a much more important role than previously thought in the history of the New Testament. The number of known copies has increased by 20% following a preliminary survey last year which identified 100 additional manuscripts. A recent comprehensive textual analysis of the Catholic Epistles indicated that all witnesses from the third generation onwards (some 72% of the total) could stem from the biblical text of three commentary manuscripts occupying a key place in the textual tradition. Investigation of the catena on Mark has shown that the selection of extracts could offer a new approach to understanding the theology of the compilers and the transmission of the commentaries.
The CATENA Project will use digital tools to undertake a fuller examination of Greek New Testament commentary manuscripts than has ever before been possible. This will include an exhaustive survey to establish a complete list of witnesses; a database of extracts to examine their principles of organisation and relationships; and electronic transcriptions to determine their role in the transmission of the biblical text. The results will have a direct impact on editions of the Greek New Testament, providing a new understanding of its text and reception and leading to broader insights into history and culture.
Summary
Manuscripts which contain commentary alongside the biblical text are some of the most significant and complicated witnesses to the Greek New Testament. First compiled around the fifth century, the commentaries consist of chains of extracts from earlier writers (catenae). These manuscripts became the main way in which users encountered both the text and the interpretation of the New Testament; revised editions produced in the eleventh and twelfth centuries continued to hold the field until the invention of printing.
Recent advances have shown that commentary manuscripts play a much more important role than previously thought in the history of the New Testament. The number of known copies has increased by 20% following a preliminary survey last year which identified 100 additional manuscripts. A recent comprehensive textual analysis of the Catholic Epistles indicated that all witnesses from the third generation onwards (some 72% of the total) could stem from the biblical text of three commentary manuscripts occupying a key place in the textual tradition. Investigation of the catena on Mark has shown that the selection of extracts could offer a new approach to understanding the theology of the compilers and the transmission of the commentaries.
The CATENA Project will use digital tools to undertake a fuller examination of Greek New Testament commentary manuscripts than has ever before been possible. This will include an exhaustive survey to establish a complete list of witnesses; a database of extracts to examine their principles of organisation and relationships; and electronic transcriptions to determine their role in the transmission of the biblical text. The results will have a direct impact on editions of the Greek New Testament, providing a new understanding of its text and reception and leading to broader insights into history and culture.
Max ERC Funding
1 756 928 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym CausalStats
Project Statistics, Prediction and Causality for Large-Scale Data
Researcher (PI) Peter Lukas Buehlmann
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Country Switzerland
Call Details Advanced Grant (AdG), PE1, ERC-2017-ADG
Summary Understanding cause-effect relationships between variables is of great interest in many fields of science. However, causal inference from data is much more ambitious and difficult than inferring (undirected) measures of association such as correlations, partial correlations or multivariate regression coefficients, mainly because of fundamental identifiability
problems. A main objective of the proposal is to exploit advantages from large-scale heterogeneous data for causal inference where heterogeneity arises from different experimental conditions or different unknown sub-populations. A key idea is to consider invariance or stability across different experimental conditions of certain conditional probability distributions: the invariants correspond on the one hand to (properly defined) causal variables which are of main interest in causality; andon the other hand, they correspond to the features for constructing powerful predictions for new scenarios which are unobserved in the data (new probability distributions). This opens novel perspectives: causal inference
can be phrased as a prediction problem of a certain kind, and vice versa, new prediction methods which work well across different scenarios (unobserved in the data) should be based on or regularized towards causal variables. Fundamental identifiability limits will become weaker with increased degree of heterogeneity, as we expect in large-scale data. The topic is essentially unexplored, yet it opens new avenues for causal inference, structural equation and graphical modeling, and robust prediction based on large-scale complex data. We will develop mathematical theory, statistical methodology and efficient algorithms; and we will also work and collaborate on major application problems such as inferring causal effects (i.e., total intervention effects) from gene knock-out or RNA interference perturbation experiments, genome-wide association studies and novel prediction tasks in economics.
Summary
Understanding cause-effect relationships between variables is of great interest in many fields of science. However, causal inference from data is much more ambitious and difficult than inferring (undirected) measures of association such as correlations, partial correlations or multivariate regression coefficients, mainly because of fundamental identifiability
problems. A main objective of the proposal is to exploit advantages from large-scale heterogeneous data for causal inference where heterogeneity arises from different experimental conditions or different unknown sub-populations. A key idea is to consider invariance or stability across different experimental conditions of certain conditional probability distributions: the invariants correspond on the one hand to (properly defined) causal variables which are of main interest in causality; andon the other hand, they correspond to the features for constructing powerful predictions for new scenarios which are unobserved in the data (new probability distributions). This opens novel perspectives: causal inference
can be phrased as a prediction problem of a certain kind, and vice versa, new prediction methods which work well across different scenarios (unobserved in the data) should be based on or regularized towards causal variables. Fundamental identifiability limits will become weaker with increased degree of heterogeneity, as we expect in large-scale data. The topic is essentially unexplored, yet it opens new avenues for causal inference, structural equation and graphical modeling, and robust prediction based on large-scale complex data. We will develop mathematical theory, statistical methodology and efficient algorithms; and we will also work and collaborate on major application problems such as inferring causal effects (i.e., total intervention effects) from gene knock-out or RNA interference perturbation experiments, genome-wide association studies and novel prediction tasks in economics.
Max ERC Funding
2 184 375 €
Duration
Start date: 2018-10-01, End date: 2023-09-30
Project acronym CAUSCOG
Project Tool Use As A Tool For Understanding Causal Cognition In Humans And Corvids
Researcher (PI) Nicola Susan Clayton
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE
Country United Kingdom
Call Details Advanced Grant (AdG), SH4, ERC-2013-ADG
Summary "Our ability to understand causality is at the very core of modern civilization. We see potential antecedents of this understanding in some non-human animals, notably apes and corvids. To date, behaviour thought to be indicative of causal understanding, particularly tool-use, has been mainly described as a phenomenon rather than studied as a mechanism and thus suffers from the lack of an experimentally-tested theoretical framework and deconstructive analysis. This significantly constrains our progress in answering key questions such as: (1) how do humans understand the physical world and solve problems? (2) what other ways of understanding causality and problem solving has evolution produced? (3) what selective pressures lead to the evolution of causal cognition? Each of these questions constitutes an area where there exists enormous potential to advance cognitive science. The overarching aim is to create a coherent, experimentally-tested, theoretical framework of the cognitive mechanisms underlying causal knowledge in corvids and humans, both young and adult. The advantage of our approach is that we will study two types of mind that have very different neural machineries and investigate the similarities and differences in their cognitive processes. We will create a sufficient level of abstraction to develop a deep theory of cognition, something that would not be possible by studying only a single species and its close evolutionary relatives. One of the most exciting aspects is that we will begin to map the ‘universal mind’ (i.e. the cognitive mechanisms that are repeatedly created by convergent evolution) to provide a quantum leap in our understanding of cognition. Finally, by discovering evolved biases in children’s learning and reasoning mechanisms we will pave the way for new teaching methods that boost learning in the classroom by appealing to the way children naturally understand the world."
Summary
"Our ability to understand causality is at the very core of modern civilization. We see potential antecedents of this understanding in some non-human animals, notably apes and corvids. To date, behaviour thought to be indicative of causal understanding, particularly tool-use, has been mainly described as a phenomenon rather than studied as a mechanism and thus suffers from the lack of an experimentally-tested theoretical framework and deconstructive analysis. This significantly constrains our progress in answering key questions such as: (1) how do humans understand the physical world and solve problems? (2) what other ways of understanding causality and problem solving has evolution produced? (3) what selective pressures lead to the evolution of causal cognition? Each of these questions constitutes an area where there exists enormous potential to advance cognitive science. The overarching aim is to create a coherent, experimentally-tested, theoretical framework of the cognitive mechanisms underlying causal knowledge in corvids and humans, both young and adult. The advantage of our approach is that we will study two types of mind that have very different neural machineries and investigate the similarities and differences in their cognitive processes. We will create a sufficient level of abstraction to develop a deep theory of cognition, something that would not be possible by studying only a single species and its close evolutionary relatives. One of the most exciting aspects is that we will begin to map the ‘universal mind’ (i.e. the cognitive mechanisms that are repeatedly created by convergent evolution) to provide a quantum leap in our understanding of cognition. Finally, by discovering evolved biases in children’s learning and reasoning mechanisms we will pave the way for new teaching methods that boost learning in the classroom by appealing to the way children naturally understand the world."
Max ERC Funding
2 164 833 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym CDAC
Project "The role of consciousness in adaptive behavior: A combined empirical, computational and robot based approach"
Researcher (PI) Paulus Franciscus Maria Joseph Verschure
Host Institution (HI) UNIVERSIDAD POMPEU FABRA
Country Spain
Call Details Advanced Grant (AdG), SH4, ERC-2013-ADG
Summary "Understanding the nature of consciousness is one of the grand outstanding scientific challenges and two of its features stand out: consciousness is defined as the construction of one coherent scene but this scene is experienced with a delay relative to the action of the agent and not necessarily the cause of actions and thoughts. Did evolution render solutions to the challenge of survival that includes epiphenomenal processes? The Conscious Distributed Adaptive Control (CDAC) project aims at resolving this paradox by using a multi-disciplinary approach to show the functional role of consciousness in adaptive behaviour, to identify its underlying neuronal principles and to construct a neuromorphic robot based real-time conscious architecture. CDAC proposes that the shift from surviving in a physical world to one that is dominated by intentional agents requires radically different control architectures combining parallel and distributed control loops to assure real-time operation together with a second level of control that assures coherence through sequential coherent representation of self and the task domain, i.e. consciousness. This conscious scene is driving dedicated credit assignment and planning beyond the immediately given information. CDAC advances a comprehensive framework progressing beyond the state of the art and will be realized using system level models of a conscious architecture, detailed computational studies of its underlying neuronal substrate focusing, empirical validation with a humanoid robot and stroke patients and the advancement of beyond state of the art tools appropriate to the complexity of its objectives. The CDAC project directly addresses one of the main outstanding questions in science: the function and genesis of consciousness and will advance our understanding of mind and brain, provide radically new neurorehabilitation technologies and contribute to realizing a new generation of robots with advanced social competence."
Summary
"Understanding the nature of consciousness is one of the grand outstanding scientific challenges and two of its features stand out: consciousness is defined as the construction of one coherent scene but this scene is experienced with a delay relative to the action of the agent and not necessarily the cause of actions and thoughts. Did evolution render solutions to the challenge of survival that includes epiphenomenal processes? The Conscious Distributed Adaptive Control (CDAC) project aims at resolving this paradox by using a multi-disciplinary approach to show the functional role of consciousness in adaptive behaviour, to identify its underlying neuronal principles and to construct a neuromorphic robot based real-time conscious architecture. CDAC proposes that the shift from surviving in a physical world to one that is dominated by intentional agents requires radically different control architectures combining parallel and distributed control loops to assure real-time operation together with a second level of control that assures coherence through sequential coherent representation of self and the task domain, i.e. consciousness. This conscious scene is driving dedicated credit assignment and planning beyond the immediately given information. CDAC advances a comprehensive framework progressing beyond the state of the art and will be realized using system level models of a conscious architecture, detailed computational studies of its underlying neuronal substrate focusing, empirical validation with a humanoid robot and stroke patients and the advancement of beyond state of the art tools appropriate to the complexity of its objectives. The CDAC project directly addresses one of the main outstanding questions in science: the function and genesis of consciousness and will advance our understanding of mind and brain, provide radically new neurorehabilitation technologies and contribute to realizing a new generation of robots with advanced social competence."
Max ERC Funding
2 469 268 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym CellFateTech
Project Biotechnology for investigating cell fate choice
Researcher (PI) Kevin CHALUT
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE
Country United Kingdom
Call Details Consolidator Grant (CoG), LS9, ERC-2017-COG
Summary The evolution from a stem cell to differentiated progeny underpins tissue development and homeostasis, which are driven by a multitude of cell fate choices. The transitions underlying these choices are not well understood. There are a number of challenges that must be overcome to achieve this understanding. In the proposed research we will tackle two of the challenges: first, the dynamics of fate choices, i.e. the dependence of transitions on time and inductive signals, remains cryptic; second, mechanical signalling regulates instructive cues for transitions but its role in the process is uncertain. One of the primary reasons these important aspects of cell fate choice remain a mystery is because the biology has not been coupled to the biotechnology appropriate to unravel it. This is the purpose of the proposed research: we will develop tools based in microfluidics, microfabrication and hydrogels and integrate them with our stem cell biology expertise to illuminate the process of cell fate choice. We will develop single cell microfluidic technology that possesses unprecedented temporal resolution and control over the signalling environment to study cell fate dynamics. We will also synthesize hydrogel substrates to exert complete control over the mechanical microenvironment of stem cells. Finally, we will advance tools to apply reproducible and defined forces to cells in order to study the role mechanical signalling in cell fate choice. Developing the proposed technology kit hand-in-hand with its biological applications will allow us to delve into the mechanisms of biological transitions in multiple stem cell systems, allowing us to uncover universal phenomena governing cell fate choice.
Summary
The evolution from a stem cell to differentiated progeny underpins tissue development and homeostasis, which are driven by a multitude of cell fate choices. The transitions underlying these choices are not well understood. There are a number of challenges that must be overcome to achieve this understanding. In the proposed research we will tackle two of the challenges: first, the dynamics of fate choices, i.e. the dependence of transitions on time and inductive signals, remains cryptic; second, mechanical signalling regulates instructive cues for transitions but its role in the process is uncertain. One of the primary reasons these important aspects of cell fate choice remain a mystery is because the biology has not been coupled to the biotechnology appropriate to unravel it. This is the purpose of the proposed research: we will develop tools based in microfluidics, microfabrication and hydrogels and integrate them with our stem cell biology expertise to illuminate the process of cell fate choice. We will develop single cell microfluidic technology that possesses unprecedented temporal resolution and control over the signalling environment to study cell fate dynamics. We will also synthesize hydrogel substrates to exert complete control over the mechanical microenvironment of stem cells. Finally, we will advance tools to apply reproducible and defined forces to cells in order to study the role mechanical signalling in cell fate choice. Developing the proposed technology kit hand-in-hand with its biological applications will allow us to delve into the mechanisms of biological transitions in multiple stem cell systems, allowing us to uncover universal phenomena governing cell fate choice.
Max ERC Funding
1 876 618 €
Duration
Start date: 2018-04-01, End date: 2023-03-31
Project acronym CESYDE
Project Ceramide Synthases in Diabetic Beta Cell Demise
Researcher (PI) Bengt-Frederik BELGARDT
Host Institution (HI) DEUTSCHE DIABETES FORSCHUNGSGESELLSCHAFT EV
Country Germany
Call Details Starting Grant (StG), LS4, ERC-2017-STG
Summary Sphingolipids including ceramides are building blocks of cell membranes, but also act as regulated intracellular messenger molecules. Emerging data indicate that sphingolipids are dynamically regulated by nutrients, and in turn control systemic metabolism, for example, by modulating insulin secretion, proliferation and cell death of pancreatic beta cells. Dysfunction and death of beta cells are key events during the development of diabetes, from which more than 400 million patients suffer worldwide. While pharmacological inhibition of general ceramide biosynthesis is protective against diabetes in animal studies, side effects of total loss of ceramides prevent medical implementation. The de novo synthesis of ceramides is fully dependent on six ceramide synthase enzymes (CerS 1-6), which are expressed in a tissue specific manner, and generate ceramides with different chain lengths. Currently, the functional roles and regulatory modulators of each CerS are unknown in pancreatic beta cells. Importantly, the downstream mechanisms by which ceramides impair beta cell function and eventually cause diabetes are not defined. Here, I propose to combine genomics, proteomics and lipidomics to assess the function of ceramide synthases expressed in mouse and human beta cells. Furthermore, both the subcellular localisation and the post-translational modifications of CerS will be determined. The ceramide-interacting proteins mediating the deleterious effects of ceramides will be identified by lipid-protein crosslinking and functionally tested. Finally, in a translational approach, we will test the ability of recently generated novel specific CerS inhibitors with improved specificity to ameliorate beta cell stress, and improve insulin secretion in mouse and human beta cells. In sum, we will identify, characterize, validate and target ceramide synthases involved in beta cell biology and development of diabetes.
Summary
Sphingolipids including ceramides are building blocks of cell membranes, but also act as regulated intracellular messenger molecules. Emerging data indicate that sphingolipids are dynamically regulated by nutrients, and in turn control systemic metabolism, for example, by modulating insulin secretion, proliferation and cell death of pancreatic beta cells. Dysfunction and death of beta cells are key events during the development of diabetes, from which more than 400 million patients suffer worldwide. While pharmacological inhibition of general ceramide biosynthesis is protective against diabetes in animal studies, side effects of total loss of ceramides prevent medical implementation. The de novo synthesis of ceramides is fully dependent on six ceramide synthase enzymes (CerS 1-6), which are expressed in a tissue specific manner, and generate ceramides with different chain lengths. Currently, the functional roles and regulatory modulators of each CerS are unknown in pancreatic beta cells. Importantly, the downstream mechanisms by which ceramides impair beta cell function and eventually cause diabetes are not defined. Here, I propose to combine genomics, proteomics and lipidomics to assess the function of ceramide synthases expressed in mouse and human beta cells. Furthermore, both the subcellular localisation and the post-translational modifications of CerS will be determined. The ceramide-interacting proteins mediating the deleterious effects of ceramides will be identified by lipid-protein crosslinking and functionally tested. Finally, in a translational approach, we will test the ability of recently generated novel specific CerS inhibitors with improved specificity to ameliorate beta cell stress, and improve insulin secretion in mouse and human beta cells. In sum, we will identify, characterize, validate and target ceramide synthases involved in beta cell biology and development of diabetes.
Max ERC Funding
1 492 314 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym CHAPARDYN
Project Chaos in Parabolic Dynamics: Mixing, Rigidity, Spectra
Researcher (PI) Corinna Ulcigrai
Host Institution (HI) UNIVERSITY OF BRISTOL
Country United Kingdom
Call Details Starting Grant (StG), PE1, ERC-2013-StG
Summary "The theme of the proposal is the mathematical investigation of chaos (in particular ergodic and spectral properties) in parabolic dynamics, via analytic, geometric and probabilistic techniques. Parabolic dynamical systems are mathematical models of the many phenomena which display a ""slow"" form of chaotic evolution, in the sense that nearby trajectories diverge polynomially in time. In contrast with the hyperbolic case and with the elliptic case, there is no general theory which describes parabolic dynamical systems. Only few classical examples are well understood.
The research plan aims at bridging this gap, by studying new classes of parabolic systems and unexplored properties of classical ones. More precisely, I propose to study parabolic flows beyond the algebraic set-up and infinite measure-preserving parabolic systems, both of which are very virgin fields of research, and to attack open conjectures and questions on fine chaotic properties, such as spectra and rigidity, for area-preserving flows. Moreover, connections between parabolic dynamics and respectively number theory, mathematical physics and probability will be explored. g New techniques, stemming from some recent breakthroughs in Teichmueller dynamics, spectral theory and infinite ergodic theory, will be developed.
The proposed research will bring our knowledge significantly beyond the current state-of-the art, both in breadth and depth and will identify common features and mechanisms for chaos in parabolic systems. Understanding similar features and common geometric mechanisms responsible for mixing, rigidity and spectral properties of parabolic systems will provide important insight towards an universal theory of parabolic dynamics."
Summary
"The theme of the proposal is the mathematical investigation of chaos (in particular ergodic and spectral properties) in parabolic dynamics, via analytic, geometric and probabilistic techniques. Parabolic dynamical systems are mathematical models of the many phenomena which display a ""slow"" form of chaotic evolution, in the sense that nearby trajectories diverge polynomially in time. In contrast with the hyperbolic case and with the elliptic case, there is no general theory which describes parabolic dynamical systems. Only few classical examples are well understood.
The research plan aims at bridging this gap, by studying new classes of parabolic systems and unexplored properties of classical ones. More precisely, I propose to study parabolic flows beyond the algebraic set-up and infinite measure-preserving parabolic systems, both of which are very virgin fields of research, and to attack open conjectures and questions on fine chaotic properties, such as spectra and rigidity, for area-preserving flows. Moreover, connections between parabolic dynamics and respectively number theory, mathematical physics and probability will be explored. g New techniques, stemming from some recent breakthroughs in Teichmueller dynamics, spectral theory and infinite ergodic theory, will be developed.
The proposed research will bring our knowledge significantly beyond the current state-of-the art, both in breadth and depth and will identify common features and mechanisms for chaos in parabolic systems. Understanding similar features and common geometric mechanisms responsible for mixing, rigidity and spectral properties of parabolic systems will provide important insight towards an universal theory of parabolic dynamics."
Max ERC Funding
1 193 534 €
Duration
Start date: 2014-01-01, End date: 2019-08-31
Project acronym ChinaCreative
Project From Made in China to Created in China - A Comparative Study of Creative Practice and Production in Contemporary China
Researcher (PI) Bastiaan Jeroen De Kloet
Host Institution (HI) UNIVERSITEIT VAN AMSTERDAM
Country Netherlands
Call Details Consolidator Grant (CoG), SH5, ERC-2013-CoG
Summary With its emergence as a global power, China aspires to move from a “made in China” towards a “created in China” country. Creativity and culture have become a crucial source for innovation and financial growth, but are also mobilised to promote a new and open China to both the citizenry as well as the outside world. They are part of what is termed China’s “soft power.”
What does creativity mean in the context of China, and what does it do? When both the state and profoundly globalised creative industries are so deeply implicated in the promotion of creativity, what are the possibilities of criticality, if any? Whereas creativity has been extensively researched in the fields of psychology, law and neurosciences, scholarship in the humanities has by and large side-tracked the thorny issue of creativity. Yet, the worldwide resurgence of the term under the banner of creative industries makes it all the more urgent to develop a theory of creativity. This project understands creativity as a textual, a social as well as a heritage practice. It aims to analyse claims of creativity in different cultural practices, and to analyse how emerging creativities in China are part of tactics of governmentality and disable or enable possibilities of criticality.
Using a comparative, multi-disciplinary, multi-method and multi-sited research design, five subprojects analyse (1) contemporary art, (2) calligraphy, (3) independent documentary cinema, (4) television from Hunan Satellite TV and (5) “fake” (shanzhai) art. By including both popular and high arts, by including both more Westernized as well as more specifically Chinese art forms, by including both the “real” as well as the “fake,” by studying different localities, and by mobilising methods from both the social sciences and the humanities, this project is pushing the notion of comparative research to a new level.
Summary
With its emergence as a global power, China aspires to move from a “made in China” towards a “created in China” country. Creativity and culture have become a crucial source for innovation and financial growth, but are also mobilised to promote a new and open China to both the citizenry as well as the outside world. They are part of what is termed China’s “soft power.”
What does creativity mean in the context of China, and what does it do? When both the state and profoundly globalised creative industries are so deeply implicated in the promotion of creativity, what are the possibilities of criticality, if any? Whereas creativity has been extensively researched in the fields of psychology, law and neurosciences, scholarship in the humanities has by and large side-tracked the thorny issue of creativity. Yet, the worldwide resurgence of the term under the banner of creative industries makes it all the more urgent to develop a theory of creativity. This project understands creativity as a textual, a social as well as a heritage practice. It aims to analyse claims of creativity in different cultural practices, and to analyse how emerging creativities in China are part of tactics of governmentality and disable or enable possibilities of criticality.
Using a comparative, multi-disciplinary, multi-method and multi-sited research design, five subprojects analyse (1) contemporary art, (2) calligraphy, (3) independent documentary cinema, (4) television from Hunan Satellite TV and (5) “fake” (shanzhai) art. By including both popular and high arts, by including both more Westernized as well as more specifically Chinese art forms, by including both the “real” as well as the “fake,” by studying different localities, and by mobilising methods from both the social sciences and the humanities, this project is pushing the notion of comparative research to a new level.
Max ERC Funding
1 947 448 €
Duration
Start date: 2014-09-01, End date: 2019-08-31
Project acronym ChromatinTargets
Project Systematic in-vivo analysis of chromatin-associated targets in leukemia
Researcher (PI) Johannes Zuber
Host Institution (HI) FORSCHUNGSINSTITUT FUR MOLEKULARE PATHOLOGIE GESELLSCHAFT MBH
Country Austria
Call Details Starting Grant (StG), LS4, ERC-2013-StG
Summary Recent advances in genome sequencing illustrate the complexity, heterogeneity and plasticity of cancer genomes. In leukemia - a group of blood cancers affecting 300,000 new patients every year – we know over 100 driver mutations. This genetic complexity poses a daunting challenge for the development of targeted therapies and highlights the urgent need for evaluating them in combination. One gene class that has recently emerged as highly promising target space are chromatin regulators, which maintain aberrant cell fate programs in leukemia. The dependency on altered chromatin states is thought to provide great therapeutic opportunities, since epigenetic aberrations are reversible and controlled by a machinery that is amenable to drug modulation. However, the precise mechanisms underlying these dependencies and the most effective and safe targets to exploit them therapeutically remain unknown.
Here we propose an innovative approach combining genetically engineered leukemia mouse models and advanced in-vivo RNAi technologies to explore chromatin-associated vulnerabilities at an unprecedented level of depth. Following a first screen in MLL-AF9;Nras-driven AML, which led to the discovery of BRD4 as a promising therapeutic target, we aim to (1) construct a knockdown-validated shRNA library targeting 520 chromatin regulators and use it to comparatively probe chromatin-associated dependencies in diverse leukemia subtypes; (2) explore the mechanistic basis of response and resistance to suppression of BRD4 and new chromatin-associated targets; and (3) pioneer a system for multiplexed combinatorial RNAi screening and use it to identify synergies between established and new chromatin-associated targets. We envision that this ERC-funded project will generate a comprehensive functional-genetic dataset that will greatly complement ongoing genome and epigenome profiling studies and ultimately guide the development of targeted therapies for leukemia and, potentially, other cancers.
Summary
Recent advances in genome sequencing illustrate the complexity, heterogeneity and plasticity of cancer genomes. In leukemia - a group of blood cancers affecting 300,000 new patients every year – we know over 100 driver mutations. This genetic complexity poses a daunting challenge for the development of targeted therapies and highlights the urgent need for evaluating them in combination. One gene class that has recently emerged as highly promising target space are chromatin regulators, which maintain aberrant cell fate programs in leukemia. The dependency on altered chromatin states is thought to provide great therapeutic opportunities, since epigenetic aberrations are reversible and controlled by a machinery that is amenable to drug modulation. However, the precise mechanisms underlying these dependencies and the most effective and safe targets to exploit them therapeutically remain unknown.
Here we propose an innovative approach combining genetically engineered leukemia mouse models and advanced in-vivo RNAi technologies to explore chromatin-associated vulnerabilities at an unprecedented level of depth. Following a first screen in MLL-AF9;Nras-driven AML, which led to the discovery of BRD4 as a promising therapeutic target, we aim to (1) construct a knockdown-validated shRNA library targeting 520 chromatin regulators and use it to comparatively probe chromatin-associated dependencies in diverse leukemia subtypes; (2) explore the mechanistic basis of response and resistance to suppression of BRD4 and new chromatin-associated targets; and (3) pioneer a system for multiplexed combinatorial RNAi screening and use it to identify synergies between established and new chromatin-associated targets. We envision that this ERC-funded project will generate a comprehensive functional-genetic dataset that will greatly complement ongoing genome and epigenome profiling studies and ultimately guide the development of targeted therapies for leukemia and, potentially, other cancers.
Max ERC Funding
1 498 985 €
Duration
Start date: 2014-01-01, End date: 2018-12-31
Project acronym CHRONOS
Project A geochemical clock to measure timescales of volcanic eruptions
Researcher (PI) Diego Perugini
Host Institution (HI) UNIVERSITA DEGLI STUDI DI PERUGIA
Country Italy
Call Details Consolidator Grant (CoG), PE10, ERC-2013-CoG
Summary "The eruption of volcanoes appears one of the most unpredictable phenomena on Earth. Yet the situation is rapidly changing. Quantification of the eruptive record constrains what is possible in a given volcanic system. Timing is the hardest part to quantify.
The main process triggering an eruption is the refilling of a sub-volcanic magma chamber by a new magma coming from depth. This process results in magma mixing and provokes a time-dependent diffusion of chemical elements. Understanding the time elapsed from mixing to eruption is fundamental to discerning pre-eruptive behaviour of volcanoes to mitigate the huge impact of volcanic eruptions on society and the environment.
The CHRONOS project proposes a new method that will cut the Gordian knot of the presently intractable problem of volcanic eruption timing using a surgical approach integrating textural, geochemical and experimental data on magma mixing. I will use the compositional heterogeneity frozen in time in the rocks the same way a broken clock at a crime scene is used to determine the time of the incident. CHRONOS will aim to:
1) be the first study to reproduce magma mixing, by performing unique experiments constrained by natural data and using natural melts, under controlled rheological and fluid-dynamics conditions;
2) obtain unprecedented high-quality data on the time dependence of chemical exchanges during magma mixing;
3) derive empirical relationships linking the extent of chemical exchanges and the mixing timescales;
4) determine timescales of volcanic eruptions combining natural and experimental data.
CHRONOS will open a new window on the physico-chemical processes occurring in the days preceding volcanic eruptions providing unprecedented information to build the first inventory of eruption timescales for planet Earth. If these timescales can be linked with geophysical signals occurring prior to eruptions, this inventory will have an immense value, enabling precise prediction of volcanic eruptions."
Summary
"The eruption of volcanoes appears one of the most unpredictable phenomena on Earth. Yet the situation is rapidly changing. Quantification of the eruptive record constrains what is possible in a given volcanic system. Timing is the hardest part to quantify.
The main process triggering an eruption is the refilling of a sub-volcanic magma chamber by a new magma coming from depth. This process results in magma mixing and provokes a time-dependent diffusion of chemical elements. Understanding the time elapsed from mixing to eruption is fundamental to discerning pre-eruptive behaviour of volcanoes to mitigate the huge impact of volcanic eruptions on society and the environment.
The CHRONOS project proposes a new method that will cut the Gordian knot of the presently intractable problem of volcanic eruption timing using a surgical approach integrating textural, geochemical and experimental data on magma mixing. I will use the compositional heterogeneity frozen in time in the rocks the same way a broken clock at a crime scene is used to determine the time of the incident. CHRONOS will aim to:
1) be the first study to reproduce magma mixing, by performing unique experiments constrained by natural data and using natural melts, under controlled rheological and fluid-dynamics conditions;
2) obtain unprecedented high-quality data on the time dependence of chemical exchanges during magma mixing;
3) derive empirical relationships linking the extent of chemical exchanges and the mixing timescales;
4) determine timescales of volcanic eruptions combining natural and experimental data.
CHRONOS will open a new window on the physico-chemical processes occurring in the days preceding volcanic eruptions providing unprecedented information to build the first inventory of eruption timescales for planet Earth. If these timescales can be linked with geophysical signals occurring prior to eruptions, this inventory will have an immense value, enabling precise prediction of volcanic eruptions."
Max ERC Funding
1 993 813 €
Duration
Start date: 2014-05-01, End date: 2019-04-30
Project acronym CIVICS
Project Criminality, Victimization and Social Interactions
Researcher (PI) Katrine Vellesen LOKEN
Host Institution (HI) NORGES HANDELSHOYSKOLE
Country Norway
Call Details Starting Grant (StG), SH1, ERC-2017-STG
Summary A large social science literature tries to describe and understand the causes and consequences of crime, usually focusing on individuals’ criminal activity in isolation. The ambitious aim of this research project is to establish a broader perspective of crime that takes into account the social context in which it takes place. The findings will inform policymakers on how to better use funds both for crime prevention and the rehabilitation of incarcerated criminals.
Criminal activity is often a group phenomenon, yet little is known about how criminal networks form and what can be done to break them up or prevent them from forming in the first place. Overlooking victims of crime and their relationships to criminals has led to an incomplete and distorted view of crime and its individual and social costs. While a better understanding of these social interactions is crucial for designing more effective anti-crime policy, existing research in criminology, sociology and economics has struggled to identify causal effects due to data limitations and difficult statistical identification issues.
This project will push the research frontier by combining register datasets that have never been merged before, and by using several state-of-the-art statistical methods to estimate causal effects related to criminal peer groups and their victims. More specifically, we aim to do the following:
-Use recent advances in network modelling to describe the structure and density of various criminal networks and study network dynamics following the arrest/incarceration or death of a central player in a network.
-Obtain a more accurate measure of the societal costs of crime, including actual measures for lost earnings and physical and mental health problems, following victims and their offenders both before and after a crime takes place.
-Conduct a randomized controlled trial within a prison system to better understand how current rehabilitation programs affect criminal and victim networks.
Summary
A large social science literature tries to describe and understand the causes and consequences of crime, usually focusing on individuals’ criminal activity in isolation. The ambitious aim of this research project is to establish a broader perspective of crime that takes into account the social context in which it takes place. The findings will inform policymakers on how to better use funds both for crime prevention and the rehabilitation of incarcerated criminals.
Criminal activity is often a group phenomenon, yet little is known about how criminal networks form and what can be done to break them up or prevent them from forming in the first place. Overlooking victims of crime and their relationships to criminals has led to an incomplete and distorted view of crime and its individual and social costs. While a better understanding of these social interactions is crucial for designing more effective anti-crime policy, existing research in criminology, sociology and economics has struggled to identify causal effects due to data limitations and difficult statistical identification issues.
This project will push the research frontier by combining register datasets that have never been merged before, and by using several state-of-the-art statistical methods to estimate causal effects related to criminal peer groups and their victims. More specifically, we aim to do the following:
-Use recent advances in network modelling to describe the structure and density of various criminal networks and study network dynamics following the arrest/incarceration or death of a central player in a network.
-Obtain a more accurate measure of the societal costs of crime, including actual measures for lost earnings and physical and mental health problems, following victims and their offenders both before and after a crime takes place.
-Conduct a randomized controlled trial within a prison system to better understand how current rehabilitation programs affect criminal and victim networks.
Max ERC Funding
1 187 046 €
Duration
Start date: 2018-03-01, End date: 2023-09-30
Project acronym CLAPO
Project The Coevolution of Life and Arsenic in Precambrian Oceans
Researcher (PI) Ernest Chi Fru
Host Institution (HI) CARDIFF UNIVERSITY
Country United Kingdom
Call Details Starting Grant (StG), PE10, ERC-2013-StG
Summary The ubiquity of arsenic resistant genes across all of life’s variety suggests a close intimacy between arsenic biogeochemistry and evolution, over geological time scales. However, the behaviour of arsenic in past environments where life originated and its impact on our evolution is essentially unknown. Arsenic is of particular importance because of its toxic properties, prevalence in tight association with ubiquitous iron and sulfide minerals and as a major component of sulfide-rich waters, all common features of Precambrian oceans. Arsenic obstructs the synthesis of the building blocks of life, exhibiting both chronic and acute toxicity at very low concentrations. These properties make arsenic an agent capable of exerting strong selective pressure on the distribution, success and diversity of life. This is exemplified by when the release of arsenic into groundwater following rock-weathering processes results in widespread poisoning. Using the state of the art stable isotopes tools, coupled to biomass production, bacterial iron, arsenic and sulfur cycling under ancient oceanic conditions, this project will open a new discussion on the much debated relationship between ocean chemistry and evolution, by introducing a new arsenic framework. This will be achieved under three majors themes: 1) Does there exist a biogeochemical connection between arsenic and the timing and transition from the iron-rich to the hypothesized sulfide-rich oceans that are linked to the rise of atmospheric oxygen? 2) Does arsenic and sulfide show concomitant cyclicity during the Precambrian? 3) Could arsenic thus serve as a proxy for the calibration of key transitional steps in the timing of biological innovation?
Summary
The ubiquity of arsenic resistant genes across all of life’s variety suggests a close intimacy between arsenic biogeochemistry and evolution, over geological time scales. However, the behaviour of arsenic in past environments where life originated and its impact on our evolution is essentially unknown. Arsenic is of particular importance because of its toxic properties, prevalence in tight association with ubiquitous iron and sulfide minerals and as a major component of sulfide-rich waters, all common features of Precambrian oceans. Arsenic obstructs the synthesis of the building blocks of life, exhibiting both chronic and acute toxicity at very low concentrations. These properties make arsenic an agent capable of exerting strong selective pressure on the distribution, success and diversity of life. This is exemplified by when the release of arsenic into groundwater following rock-weathering processes results in widespread poisoning. Using the state of the art stable isotopes tools, coupled to biomass production, bacterial iron, arsenic and sulfur cycling under ancient oceanic conditions, this project will open a new discussion on the much debated relationship between ocean chemistry and evolution, by introducing a new arsenic framework. This will be achieved under three majors themes: 1) Does there exist a biogeochemical connection between arsenic and the timing and transition from the iron-rich to the hypothesized sulfide-rich oceans that are linked to the rise of atmospheric oxygen? 2) Does arsenic and sulfide show concomitant cyclicity during the Precambrian? 3) Could arsenic thus serve as a proxy for the calibration of key transitional steps in the timing of biological innovation?
Max ERC Funding
1 486 374 €
Duration
Start date: 2013-09-01, End date: 2018-08-31
Project acronym CoAct
Project Communication in Action: Towards a model of Contextualized Action and Language Processing
Researcher (PI) Judith HOLLER
Host Institution (HI) STICHTING KATHOLIEKE UNIVERSITEIT
Country Netherlands
Call Details Consolidator Grant (CoG), SH4, ERC-2017-COG
Summary Language is fundamental to human sociality. While the last century has given us many fundamental insights into how we use and understand it, core issues that we face when doing so within its natural environment—face-to-face conversation—remain untackled. When we speak we also send signals with our head, eyes, face, hands, torso, etc. How do we orchestrate and integrate all this information into meaningful messages? CoAct will lead to a new model with in situ language processing at its core, the Contextualized Action and Language (CoALa) processing model. The defining characteristic of in situ language is its multimodal nature. Moreover, the essence of language use is social action; that is, we use language to do things—we question, offer, decline etc. These social actions are embedded in conversational structure where one speaking turn follows another at a remarkable speed, with millisecond gaps between them. Conversation thus confronts us with a significant psycholinguistic challenge. While one could expect that the many co-speech bodily signals exacerbate this challenge, CoAct proposes that they actually play a key role in dealing with it. It tests this in three subprojects that combine methods from a variety of disciplines but focus on the social actions performed by questions and responses as a uniting theme: (1) ProdAct uses conversational corpora to investigate the multimodal architecture of social actions with the assumption that they differ in their ‘visual signatures’, (2) CompAct tests whether these bodily signatures contribute to social action comprehension, and if they do so early and rapidly, (3) IntAct investigates whether bodily signals play a facilitating role also when faced with the complex task of comprehending while planning a next social action. Thus, CoAct aims to advance current psycholinguistic theory by developing a new model of language processing based on an integrative framework uniting aspects from psychology , philosophy and sociology.
Summary
Language is fundamental to human sociality. While the last century has given us many fundamental insights into how we use and understand it, core issues that we face when doing so within its natural environment—face-to-face conversation—remain untackled. When we speak we also send signals with our head, eyes, face, hands, torso, etc. How do we orchestrate and integrate all this information into meaningful messages? CoAct will lead to a new model with in situ language processing at its core, the Contextualized Action and Language (CoALa) processing model. The defining characteristic of in situ language is its multimodal nature. Moreover, the essence of language use is social action; that is, we use language to do things—we question, offer, decline etc. These social actions are embedded in conversational structure where one speaking turn follows another at a remarkable speed, with millisecond gaps between them. Conversation thus confronts us with a significant psycholinguistic challenge. While one could expect that the many co-speech bodily signals exacerbate this challenge, CoAct proposes that they actually play a key role in dealing with it. It tests this in three subprojects that combine methods from a variety of disciplines but focus on the social actions performed by questions and responses as a uniting theme: (1) ProdAct uses conversational corpora to investigate the multimodal architecture of social actions with the assumption that they differ in their ‘visual signatures’, (2) CompAct tests whether these bodily signatures contribute to social action comprehension, and if they do so early and rapidly, (3) IntAct investigates whether bodily signals play a facilitating role also when faced with the complex task of comprehending while planning a next social action. Thus, CoAct aims to advance current psycholinguistic theory by developing a new model of language processing based on an integrative framework uniting aspects from psychology , philosophy and sociology.
Max ERC Funding
2 000 000 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym COCAN
Project Complexity and Condition in Algebra and Numerics
Researcher (PI) Peter BueRGISSER
Host Institution (HI) TECHNISCHE UNIVERSITAT BERLIN
Country Germany
Call Details Advanced Grant (AdG), PE1, ERC-2017-ADG
Summary "This proposal connects three areas that are considered distant from each other: computational complexity, algebraic geometry, and numerics. In the last decade, it became clear that the fundamental questions of computational complexity (P vs NP) should be studied in algebraic settings, linking them to problems in algebraic geometry. Recent progress on this challenging and very difficult questions led to surprising progress in computational invariant theory, which we want to explore thoroughly. We expect this to lead to solutions of computational problems in invariant theory that currently are considered infeasible. The complexity of Hilbert's null cone (the set of ""singular objects'') appears of paramount importance here. These investigations will also shed new light on the foundational questions of algebraic complexity theory. As an essential new ingredient to achieve this, we will tackle the arising algebraic computational problems by means of approximate numeric computations, taking into account the concept of numerical condition.
A related goal of the proposal is to develop a theory of efficient and numerically stable algorithms in algebraic geometry that reflects the properties of structured systems of polynomial equations, possibly with singularities. While there are various heuristics, a satisfactory theory so far only exists for unstructured systems over the complex numbers (recent solution of Smale's 17th problem), which seriously limits its range of applications. In this framework, the quality of numerical algorithms is gauged by a probabilistic analysis that shows small average (or smoothed) running time. One of the main challenges here consists of a probabilistic study of random structured polynomial systems. We will also develop and analyze numerical algorithms for finding or describing the set of real solutions, e.g., in terms of their homology.
"
Summary
"This proposal connects three areas that are considered distant from each other: computational complexity, algebraic geometry, and numerics. In the last decade, it became clear that the fundamental questions of computational complexity (P vs NP) should be studied in algebraic settings, linking them to problems in algebraic geometry. Recent progress on this challenging and very difficult questions led to surprising progress in computational invariant theory, which we want to explore thoroughly. We expect this to lead to solutions of computational problems in invariant theory that currently are considered infeasible. The complexity of Hilbert's null cone (the set of ""singular objects'') appears of paramount importance here. These investigations will also shed new light on the foundational questions of algebraic complexity theory. As an essential new ingredient to achieve this, we will tackle the arising algebraic computational problems by means of approximate numeric computations, taking into account the concept of numerical condition.
A related goal of the proposal is to develop a theory of efficient and numerically stable algorithms in algebraic geometry that reflects the properties of structured systems of polynomial equations, possibly with singularities. While there are various heuristics, a satisfactory theory so far only exists for unstructured systems over the complex numbers (recent solution of Smale's 17th problem), which seriously limits its range of applications. In this framework, the quality of numerical algorithms is gauged by a probabilistic analysis that shows small average (or smoothed) running time. One of the main challenges here consists of a probabilistic study of random structured polynomial systems. We will also develop and analyze numerical algorithms for finding or describing the set of real solutions, e.g., in terms of their homology.
"
Max ERC Funding
2 297 163 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym CodingHeart
Project Novel Coding Factors in Heart Disease
Researcher (PI) Norbert HUBNER
Host Institution (HI) MAX DELBRUECK CENTRUM FUER MOLEKULARE MEDIZIN IN DER HELMHOLTZ-GEMEINSCHAFT (MDC)
Country Germany
Call Details Advanced Grant (AdG), LS4, ERC-2017-ADG
Summary Heart failure has become a worldwide epidemic with more than 23 million people affected resulting in devastating consequences for patients and an enormous burden on health care systems. One in five heart failure patients dies within a year of diagnosis and survival estimates after diagnosis are 50% and 10% at 5 and 10 years, respectively. Despite intensive investigation, the molecular mechanisms leading to heart failure remain poorly understood. We will narrow this critical gap in knowledge by proposing a previously unattainable, comprehensive approach to define the genomic architecture and functional consequences of newly identified micropeptides from multiple classes of RNAs that previously were classified to be non-coding in cardiac biology and heart failure. Our approach is unique and novel in several ways. Thematically, our studies focus on novel classes of orphan peptides and their role in heart failure that have not been discovered previously. Our approach relies on innovative interdisciplinary efforts of scientists working in molecular genetics, genomics, computational biology, and cardiovascular research to identify and characterize pathophysiological pathways that converge on these novel peptides. We will identify these short peptides by using genome-wide measures of active translation and will harness unique clinical resources to ensure human relevance. Analysis of animal and cell models coupled with state-of-the-art biochemical and genetic tools will elucidate the function of newly identified micropeptides within the molecular and cellular pathways of cardiac biology and failure. Through these efforts we will discern fundamental causes of maladaptive responses in the heart and strategies to monitor and limit these.
Summary
Heart failure has become a worldwide epidemic with more than 23 million people affected resulting in devastating consequences for patients and an enormous burden on health care systems. One in five heart failure patients dies within a year of diagnosis and survival estimates after diagnosis are 50% and 10% at 5 and 10 years, respectively. Despite intensive investigation, the molecular mechanisms leading to heart failure remain poorly understood. We will narrow this critical gap in knowledge by proposing a previously unattainable, comprehensive approach to define the genomic architecture and functional consequences of newly identified micropeptides from multiple classes of RNAs that previously were classified to be non-coding in cardiac biology and heart failure. Our approach is unique and novel in several ways. Thematically, our studies focus on novel classes of orphan peptides and their role in heart failure that have not been discovered previously. Our approach relies on innovative interdisciplinary efforts of scientists working in molecular genetics, genomics, computational biology, and cardiovascular research to identify and characterize pathophysiological pathways that converge on these novel peptides. We will identify these short peptides by using genome-wide measures of active translation and will harness unique clinical resources to ensure human relevance. Analysis of animal and cell models coupled with state-of-the-art biochemical and genetic tools will elucidate the function of newly identified micropeptides within the molecular and cellular pathways of cardiac biology and failure. Through these efforts we will discern fundamental causes of maladaptive responses in the heart and strategies to monitor and limit these.
Max ERC Funding
2 319 514 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym COGNAP
Project To nap or not to nap? Why napping habits interfere with cognitive fitness in ageing
Researcher (PI) Christina Hildegard SCHMIDT
Host Institution (HI) UNIVERSITE DE LIEGE
Country Belgium
Call Details Starting Grant (StG), SH4, ERC-2017-STG
Summary All of us know of individuals who remain cognitively sharp at an advanced age. Identifying novel factors which associate with inter-individual variability in -and can be considered protective for- cognitive decline is a promising area in ageing research. Considering its strong implication in neuroprotective function, COGNAP predicts that variability in circadian rhythmicity explains a significant part of the age-related changes in human cognition. Circadian rhythms -one of the most fundamental processes of living organisms- are present throughout the nervous system and act on cognitive brain function. Circadian rhythms shape the temporal organization of sleep and wakefulness to achieve human diurnality, characterized by a consolidated bout of sleep during night-time and a continuous period of wakefulness during the day. Of prime importance is that the temporal organization of sleep and wakefulness evolves throughout the adult lifespan, leading to higher sleep-wake fragmentation with ageing. The increasing occurrence of daytime napping is the most visible manifestation of this fragmentation. Contrary to the common belief, napping stands as a health risk factor in seniors in epidemiological data. I posit that chronic napping in older people primarily reflects circadian disruption. Based on my preliminary findings, I predict that this disruption will lead to lower cognitive fitness. I further hypothesise that a re-stabilization of circadian sleep-wake organization through a nap prevention intervention will reduce age-related cognitive decline. Characterizing the link between cognitive ageing and the temporal distribution of sleep and wakefulness will not only bring ground-breaking advances at the scientific level, but is also timely in the ageing society. Cognitive decline, as well as inadequately timed sleep, represent dominant determinants of the health span of our fast ageing population and easy implementable intervention programs are urgently needed.
Summary
All of us know of individuals who remain cognitively sharp at an advanced age. Identifying novel factors which associate with inter-individual variability in -and can be considered protective for- cognitive decline is a promising area in ageing research. Considering its strong implication in neuroprotective function, COGNAP predicts that variability in circadian rhythmicity explains a significant part of the age-related changes in human cognition. Circadian rhythms -one of the most fundamental processes of living organisms- are present throughout the nervous system and act on cognitive brain function. Circadian rhythms shape the temporal organization of sleep and wakefulness to achieve human diurnality, characterized by a consolidated bout of sleep during night-time and a continuous period of wakefulness during the day. Of prime importance is that the temporal organization of sleep and wakefulness evolves throughout the adult lifespan, leading to higher sleep-wake fragmentation with ageing. The increasing occurrence of daytime napping is the most visible manifestation of this fragmentation. Contrary to the common belief, napping stands as a health risk factor in seniors in epidemiological data. I posit that chronic napping in older people primarily reflects circadian disruption. Based on my preliminary findings, I predict that this disruption will lead to lower cognitive fitness. I further hypothesise that a re-stabilization of circadian sleep-wake organization through a nap prevention intervention will reduce age-related cognitive decline. Characterizing the link between cognitive ageing and the temporal distribution of sleep and wakefulness will not only bring ground-breaking advances at the scientific level, but is also timely in the ageing society. Cognitive decline, as well as inadequately timed sleep, represent dominant determinants of the health span of our fast ageing population and easy implementable intervention programs are urgently needed.
Max ERC Funding
1 499 125 €
Duration
Start date: 2018-01-01, End date: 2023-06-30
Project acronym COLD
Project Climate Sensitivity of Glacial Landscape Dynamics
Researcher (PI) Dirk SCHERLER
Host Institution (HI) HELMHOLTZ ZENTRUM POTSDAM DEUTSCHESGEOFORSCHUNGSZENTRUM GFZ
Country Germany
Call Details Starting Grant (StG), PE10, ERC-2017-STG
Summary How do erosion rates in glacial landscapes vary with climate change and how do such changes affect the dynamics of mountain glaciers? Providing quantitative constraints towards this question is the main objective of COLD. These constraints are so important because mountain glaciers are sensitive to climate change and their deposits provide a unique history of Earths terrestrial climate that allows reconstructing leads and lags in the climate system.
The climate sensitivity of mountain glaciers is influenced by debris on their surface that impedes ice melting. Theoretical models of frost-related bedrock fracturing predict that rates of debris production are temperature-sensitive and that its supply to mountain glaciers increases during warming periods. Thus a previously unrecognized negative feedback emerges that lowers ice melt rates and potentially buffers part of the ice retreat due to warming. However, the temperature-sensitivity of debris production in glacial landscapes is poorly understood. Specifically, we lack robust erosion rate estimates for these landscapes, which are key for testing models of frost-related bedrock fracturing.
Here, I propose an innovative combination of new tools that capitalize on recent developments in cosmogenic nuclide geochemistry, landscape evolution modelling, and planetary-scale remote sensing analysis. I will use these tools to quantify headwall erosion rates in mountainous glacial landscapes and to gauge the sensitivity of mountain glaciers to variations in debris supply. Expected results will provide a basis for assessing the impacts of global warming, for improved predictions of valley glacier evolution, and for palaeoclimate interpretations of glacial landforms. COLD will focus on glacial landscapes, but the inverse modelling approach I will develop is applicable to any landscape on Earth and has the potential to fundamentally transform how we use cosmogenic nuclides to constrain Earth surface dynamics.
Summary
How do erosion rates in glacial landscapes vary with climate change and how do such changes affect the dynamics of mountain glaciers? Providing quantitative constraints towards this question is the main objective of COLD. These constraints are so important because mountain glaciers are sensitive to climate change and their deposits provide a unique history of Earths terrestrial climate that allows reconstructing leads and lags in the climate system.
The climate sensitivity of mountain glaciers is influenced by debris on their surface that impedes ice melting. Theoretical models of frost-related bedrock fracturing predict that rates of debris production are temperature-sensitive and that its supply to mountain glaciers increases during warming periods. Thus a previously unrecognized negative feedback emerges that lowers ice melt rates and potentially buffers part of the ice retreat due to warming. However, the temperature-sensitivity of debris production in glacial landscapes is poorly understood. Specifically, we lack robust erosion rate estimates for these landscapes, which are key for testing models of frost-related bedrock fracturing.
Here, I propose an innovative combination of new tools that capitalize on recent developments in cosmogenic nuclide geochemistry, landscape evolution modelling, and planetary-scale remote sensing analysis. I will use these tools to quantify headwall erosion rates in mountainous glacial landscapes and to gauge the sensitivity of mountain glaciers to variations in debris supply. Expected results will provide a basis for assessing the impacts of global warming, for improved predictions of valley glacier evolution, and for palaeoclimate interpretations of glacial landforms. COLD will focus on glacial landscapes, but the inverse modelling approach I will develop is applicable to any landscape on Earth and has the potential to fundamentally transform how we use cosmogenic nuclides to constrain Earth surface dynamics.
Max ERC Funding
1 499 308 €
Duration
Start date: 2018-01-01, End date: 2023-06-30
Project acronym COLOURMIND
Project Colouring the Mind: the Impact of Visual Environment on Colour Perception
Researcher (PI) Anna FRANKLIN
Host Institution (HI) THE UNIVERSITY OF SUSSEX
Country United Kingdom
Call Details Consolidator Grant (CoG), SH4, ERC-2017-COG
Summary Visual perception is central to how we think and behave. However, there are major unresolved issues in understanding how the human mind draws on experience to perceive the dynamic and variable world. The COLOURMIND project, led by Franklin, will tackle these crucial issues with an ambitious investigation of the impact of the visual environment on colour perception that will provide a new theoretical framework for the field. The project will ask ground-breaking questions: What aspects of colour perception are affected by the visual environment, such that people from different environments perceive colour differently?; What processes enable colour perception to calibrate to visual experience and what is their nature and scope?; Does colour perception ‘tune-in’ to the visual input experienced during infancy? COLOURMIND will adopt a diverse range of innovative methods to address these questions, and will: i.) investigate the colour perception of people immersed in natural non-industrialised environments in some of the remotest parts of the world to identify the extent to which visual environment shapes colour perception; ii.) use innovative neuroimaging methods to identify how the visual cortex changes in response to chromatic experience; iii.) pioneer the use of ‘Altered-Reality' (next generation virtual reality) to elucidate calibrative processes in colour perception; and iv.) conduct carefully controlled experiments with infants to address the role of development. The cutting-edge questions, innovative approaches and theoretical power of the COLOURMIND project will lead to breakthroughs on issues that are fundamental to understanding the complexity of the human mind (e.g., learning, plasticity and inference; perceptual development; cultural relativity), and findings will have practical application. Overall, the ambitious project will push the frontiers of multidisciplinary research on colour perception, and will resonate throughout the cognitive and social sciences.
Summary
Visual perception is central to how we think and behave. However, there are major unresolved issues in understanding how the human mind draws on experience to perceive the dynamic and variable world. The COLOURMIND project, led by Franklin, will tackle these crucial issues with an ambitious investigation of the impact of the visual environment on colour perception that will provide a new theoretical framework for the field. The project will ask ground-breaking questions: What aspects of colour perception are affected by the visual environment, such that people from different environments perceive colour differently?; What processes enable colour perception to calibrate to visual experience and what is their nature and scope?; Does colour perception ‘tune-in’ to the visual input experienced during infancy? COLOURMIND will adopt a diverse range of innovative methods to address these questions, and will: i.) investigate the colour perception of people immersed in natural non-industrialised environments in some of the remotest parts of the world to identify the extent to which visual environment shapes colour perception; ii.) use innovative neuroimaging methods to identify how the visual cortex changes in response to chromatic experience; iii.) pioneer the use of ‘Altered-Reality' (next generation virtual reality) to elucidate calibrative processes in colour perception; and iv.) conduct carefully controlled experiments with infants to address the role of development. The cutting-edge questions, innovative approaches and theoretical power of the COLOURMIND project will lead to breakthroughs on issues that are fundamental to understanding the complexity of the human mind (e.g., learning, plasticity and inference; perceptual development; cultural relativity), and findings will have practical application. Overall, the ambitious project will push the frontiers of multidisciplinary research on colour perception, and will resonate throughout the cognitive and social sciences.
Max ERC Funding
1 999 975 €
Duration
Start date: 2018-07-01, End date: 2023-06-30
Project acronym COMANFLO
Project Computation and analysis of statistical solutions of fluid flow
Researcher (PI) Siddhartha MISHRA
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Country Switzerland
Call Details Consolidator Grant (CoG), PE1, ERC-2017-COG
Summary Entropy (admissible) weak solutions are widely considered to be the standard solution framework for hyperbolic systems of conservation laws and incompressible Euler equations. However, the lack of global existence results in several space dimensions, the recent demonstration of non-uniqueness of these solutions and computations showing the lack of convergence of state of the art numerical methods to them, have reinforced the need to seek alternative solution paradigms.
Although one can show that numerical approximations of these nonlinear PDEs converge to measure-valued solutions i.e Young measures, these solutions are not unique and we need to constrain them further. Statistical solutions i.e, time-parametrized probability measures on spaces of integrable functions, are a promising framework in this regard as they can be characterized as a measure-valued solution that also contains information about all possible multi-point spatial correlations. So far, well-posedness of statistical solutions has been shown only in the case of scalar conservation laws.
The main aim of the proposed project is to analyze statistical solutions of systems of conservation laws and incompressible Euler equations and to design efficient numerical approximations for them. We aim to prove global existence of statistical solutions in several space dimensions, by showing convergence of these numerical approximations, and to identify suitable additional admissibility criteria for statistical solutions that can ensure uniqueness. We will use these numerical methods to compute statistical quantities of interest and relate them to existing theories (and observations) for unstable and turbulent fluid flows. Successful completion of this project aims to establish statistical solutions as the appropriate solution paradigm for inviscid fluid flows, even for deterministic initial data, and will pave the way for applications to astrophysics, climate science and uncertainty quantification.
Summary
Entropy (admissible) weak solutions are widely considered to be the standard solution framework for hyperbolic systems of conservation laws and incompressible Euler equations. However, the lack of global existence results in several space dimensions, the recent demonstration of non-uniqueness of these solutions and computations showing the lack of convergence of state of the art numerical methods to them, have reinforced the need to seek alternative solution paradigms.
Although one can show that numerical approximations of these nonlinear PDEs converge to measure-valued solutions i.e Young measures, these solutions are not unique and we need to constrain them further. Statistical solutions i.e, time-parametrized probability measures on spaces of integrable functions, are a promising framework in this regard as they can be characterized as a measure-valued solution that also contains information about all possible multi-point spatial correlations. So far, well-posedness of statistical solutions has been shown only in the case of scalar conservation laws.
The main aim of the proposed project is to analyze statistical solutions of systems of conservation laws and incompressible Euler equations and to design efficient numerical approximations for them. We aim to prove global existence of statistical solutions in several space dimensions, by showing convergence of these numerical approximations, and to identify suitable additional admissibility criteria for statistical solutions that can ensure uniqueness. We will use these numerical methods to compute statistical quantities of interest and relate them to existing theories (and observations) for unstable and turbulent fluid flows. Successful completion of this project aims to establish statistical solutions as the appropriate solution paradigm for inviscid fluid flows, even for deterministic initial data, and will pave the way for applications to astrophysics, climate science and uncertainty quantification.
Max ERC Funding
1 959 323 €
Duration
Start date: 2018-08-01, End date: 2023-07-31
Project acronym CombaTCancer
Project Rational combination therapies for metastatic cancer
Researcher (PI) Anna Obenauf
Host Institution (HI) FORSCHUNGSINSTITUT FUR MOLEKULARE PATHOLOGIE GESELLSCHAFT MBH
Country Austria
Call Details Starting Grant (StG), LS4, ERC-2017-STG
Summary Targeted therapy (TT) is frequently used to treat metastatic cancer. Although TT can achieve effective tumor control for several months, durable treatment responses are rare, due to emergence of aggressive, drug-resistant clones (RCs) with high metastatic competence. Tumor heterogeneity and plasticity result in multifaceted resistance mechanisms and targeting RCs poses a daunting challenge.
To better understand the clinical emergence of RCs, my work focuses on the poorly understood events during TT-induced tumor regression. We recently reported that during this phase drug-responsive cancer cells release a therapy-induced secretome, which remodels the tumor microenvironment (TME) and propagates disease relapse by promoting the survival of drug-sensitive cells and stimulating the outgrowth of RCs. Consequently, intervening with combination therapies during the tumor regression period has the potential to prevent the clinical emergence of RCs in the first place.
Here, we outline strategies to (1) understand how RCs emerge and (2) to leverage our findings on the TME remodeling for combination therapies. First, we will develop a novel and innovative parental clone-lookup method, that will allow us to identify and isolate treatment-naïve, parental clones (PCs) that gave rise to RCs. In functional experiments, we will assess (i) whether PCs were already resistant before or developed resistance during TT, (ii) whether PCs have a higher susceptibility to develop resistance than random clones, and (iii) the mechanistic basis for metastatic competence in different clones. Second, we will study the TT-induced TME remodeling, focusing on the effects on tumor vasculature and immune cells. We will utilize our results to target PCs and RCs by combining TT in the phase of tumor regression with other therapies, such as immunotherapies. Our study will provide new mechanistic insights into the biological processes during tumor regression and aims for novel therapeutic strategies.
Summary
Targeted therapy (TT) is frequently used to treat metastatic cancer. Although TT can achieve effective tumor control for several months, durable treatment responses are rare, due to emergence of aggressive, drug-resistant clones (RCs) with high metastatic competence. Tumor heterogeneity and plasticity result in multifaceted resistance mechanisms and targeting RCs poses a daunting challenge.
To better understand the clinical emergence of RCs, my work focuses on the poorly understood events during TT-induced tumor regression. We recently reported that during this phase drug-responsive cancer cells release a therapy-induced secretome, which remodels the tumor microenvironment (TME) and propagates disease relapse by promoting the survival of drug-sensitive cells and stimulating the outgrowth of RCs. Consequently, intervening with combination therapies during the tumor regression period has the potential to prevent the clinical emergence of RCs in the first place.
Here, we outline strategies to (1) understand how RCs emerge and (2) to leverage our findings on the TME remodeling for combination therapies. First, we will develop a novel and innovative parental clone-lookup method, that will allow us to identify and isolate treatment-naïve, parental clones (PCs) that gave rise to RCs. In functional experiments, we will assess (i) whether PCs were already resistant before or developed resistance during TT, (ii) whether PCs have a higher susceptibility to develop resistance than random clones, and (iii) the mechanistic basis for metastatic competence in different clones. Second, we will study the TT-induced TME remodeling, focusing on the effects on tumor vasculature and immune cells. We will utilize our results to target PCs and RCs by combining TT in the phase of tumor regression with other therapies, such as immunotherapies. Our study will provide new mechanistic insights into the biological processes during tumor regression and aims for novel therapeutic strategies.
Max ERC Funding
1 500 000 €
Duration
Start date: 2018-03-01, End date: 2023-02-28
Project acronym COMBINEPIC
Project Elliptic Combinatorics: Solving famous models from combinatorics, probability and statistical mechanics, via a transversal approach of special functions
Researcher (PI) Kilian RASCHEL
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Country France
Call Details Starting Grant (StG), PE1, ERC-2017-STG
Summary I am willing to solve several well-known models from combinatorics, probability theory and statistical mechanics: the Ising model on isoradial graphs, dimer models, spanning forests, random walks in cones, occupation time problems. Although completely unrelated a priori, these models have the common feature of being presumed “exactly solvable” models, for which surprising and spectacular formulas should exist for quantities of interest. This is captured by the title “Elliptic Combinatorics”, the wording elliptic referring to the use of special functions, in a broad sense: algebraic/differentially finite (or holonomic)/diagonals/(hyper)elliptic/ hypergeometric/etc.
Besides the exciting nature of the models which we aim at solving, one main strength of our project lies in the variety of modern methods and fields that we cover: combinatorics, probability, algebra (representation theory), computer algebra, algebraic geometry, with a spectrum going from applied to pure mathematics.
We propose in addition two major applications, in finance (Markovian order books) and in population biology (evolution of multitype populations). We plan to work in close collaborations with researchers from these fields, to eventually apply our results (study of extinction probabilities for self-incompatible flower populations, for instance).
Summary
I am willing to solve several well-known models from combinatorics, probability theory and statistical mechanics: the Ising model on isoradial graphs, dimer models, spanning forests, random walks in cones, occupation time problems. Although completely unrelated a priori, these models have the common feature of being presumed “exactly solvable” models, for which surprising and spectacular formulas should exist for quantities of interest. This is captured by the title “Elliptic Combinatorics”, the wording elliptic referring to the use of special functions, in a broad sense: algebraic/differentially finite (or holonomic)/diagonals/(hyper)elliptic/ hypergeometric/etc.
Besides the exciting nature of the models which we aim at solving, one main strength of our project lies in the variety of modern methods and fields that we cover: combinatorics, probability, algebra (representation theory), computer algebra, algebraic geometry, with a spectrum going from applied to pure mathematics.
We propose in addition two major applications, in finance (Markovian order books) and in population biology (evolution of multitype populations). We plan to work in close collaborations with researchers from these fields, to eventually apply our results (study of extinction probabilities for self-incompatible flower populations, for instance).
Max ERC Funding
1 242 400 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym COMICS
Project Children in Comics: An Intercultural History from 1865 to Today
Researcher (PI) Maaheen AHMED
Host Institution (HI) UNIVERSITEIT GENT
Country Belgium
Call Details Starting Grant (StG), SH5, ERC-2017-STG
Summary Owing to their visual essence and status as a popular, modern medium, comics – newspaper strips, comics magazines and graphic novels – provide valuable insight into the transformation of collective consciousness. This project advances the hypothesis that children in comics are distinctive embodiments of the complex experience of modernity, channeling and tempering modern anxieties and incarnating the freedom denied to adults. In testing this hypothesis, the project constructs the first intercultural history of children in European comics, tracing the changing conceptualizations of child protagonists in popular comics for both children and adults from the mid-19th century to the present. In doing so, it takes key points in European history as well as the history of comics into account.
Assembling a team of six multilingual researchers, the project uses an interdisciplinary methodology combining comics studies and childhood studies while also incorporating specific insights from cultural studies (history of family life, history of public life, history of the body, affect theory and scholarship on the carnivalesque). This enables the project to analyze the transposition of modern anxieties, conceptualizations of childishness, child-adult power relations, notions of liberty, visualizations of the body, family life, school and public life as well as the presence of affects such as nostalgia and happiness in comics starring children.
The project thus opens up a new field of research lying at the intersection of comics studies and childhood studies and illustrates its potential. In studying popular but often overlooked comics, the project provides crucial historical and analytical material that will shape future comics criticism and the fields associated with childhood studies. Furthermore, the project’s outreach activities will increase collective knowledge about comic strips, which form an important, increasingly visible part of cultural heritage.
Summary
Owing to their visual essence and status as a popular, modern medium, comics – newspaper strips, comics magazines and graphic novels – provide valuable insight into the transformation of collective consciousness. This project advances the hypothesis that children in comics are distinctive embodiments of the complex experience of modernity, channeling and tempering modern anxieties and incarnating the freedom denied to adults. In testing this hypothesis, the project constructs the first intercultural history of children in European comics, tracing the changing conceptualizations of child protagonists in popular comics for both children and adults from the mid-19th century to the present. In doing so, it takes key points in European history as well as the history of comics into account.
Assembling a team of six multilingual researchers, the project uses an interdisciplinary methodology combining comics studies and childhood studies while also incorporating specific insights from cultural studies (history of family life, history of public life, history of the body, affect theory and scholarship on the carnivalesque). This enables the project to analyze the transposition of modern anxieties, conceptualizations of childishness, child-adult power relations, notions of liberty, visualizations of the body, family life, school and public life as well as the presence of affects such as nostalgia and happiness in comics starring children.
The project thus opens up a new field of research lying at the intersection of comics studies and childhood studies and illustrates its potential. In studying popular but often overlooked comics, the project provides crucial historical and analytical material that will shape future comics criticism and the fields associated with childhood studies. Furthermore, the project’s outreach activities will increase collective knowledge about comic strips, which form an important, increasingly visible part of cultural heritage.
Max ERC Funding
1 452 500 €
Duration
Start date: 2018-10-01, End date: 2023-09-30
Project acronym COMPASP
Project Complex analysis and statistical physics
Researcher (PI) Stanislav Smirnov
Host Institution (HI) UNIVERSITE DE GENEVE
Country Switzerland
Call Details Advanced Grant (AdG), PE1, ERC-2013-ADG
Summary "The goal of this project is to achieve breakthroughs in a few fundamental questions in 2D statistical physics, using techniques from complex analysis, probability, dynamical systems, geometric measure theory and theoretical physics.
Over the last decade, we significantly expanded our understanding of 2D lattice models of statistical physics, their conformally invariant scaling limits and related random geometries. However, there seem to be serious obstacles, preventing further development and requiring novel ideas. We plan to attack those, in particular we intend to:
(A) Describe new scaling limits by Schramm’s SLE curves and their generalizations,
(B) Study discrete complex structures and use them to describe more 2D models,
(C) Describe the scaling limits of random planar graphs by the Liouville Quantum Gravity,
(D) Understand universality and lay framework for the Renormalization Group Formalism,
(E) Go beyond the current setup of spin models and SLEs.
These problems are known to be very difficult, but fundamental questions, which have the potential to lead to significant breakthroughs in our understanding of phase transitions, allowing for further progresses. In resolving them, we plan to exploit interactions of different subjects, and recent advances are encouraging."
Summary
"The goal of this project is to achieve breakthroughs in a few fundamental questions in 2D statistical physics, using techniques from complex analysis, probability, dynamical systems, geometric measure theory and theoretical physics.
Over the last decade, we significantly expanded our understanding of 2D lattice models of statistical physics, their conformally invariant scaling limits and related random geometries. However, there seem to be serious obstacles, preventing further development and requiring novel ideas. We plan to attack those, in particular we intend to:
(A) Describe new scaling limits by Schramm’s SLE curves and their generalizations,
(B) Study discrete complex structures and use them to describe more 2D models,
(C) Describe the scaling limits of random planar graphs by the Liouville Quantum Gravity,
(D) Understand universality and lay framework for the Renormalization Group Formalism,
(E) Go beyond the current setup of spin models and SLEs.
These problems are known to be very difficult, but fundamental questions, which have the potential to lead to significant breakthroughs in our understanding of phase transitions, allowing for further progresses. In resolving them, we plan to exploit interactions of different subjects, and recent advances are encouraging."
Max ERC Funding
1 995 900 €
Duration
Start date: 2014-01-01, End date: 2018-12-31
Project acronym COMPAT
Project Complex Patterns for Strongly Interacting Dynamical Systems
Researcher (PI) Susanna Terracini
Host Institution (HI) UNIVERSITA DEGLI STUDI DI TORINO
Country Italy
Call Details Advanced Grant (AdG), PE1, ERC-2013-ADG
Summary This project focuses on nontrivial solutions of systems of differential equations characterized by strongly nonlinear interactions. We are interested in the effect of the nonlinearities on the emergence of non trivial self-organized structures. Such patterns correspond to selected solutions of the differential system possessing special symmetries or shadowing particular shapes. We want to understand, from the
mathematical point of view, what are the main mechanisms involved in the aggregation process in terms of the global variational structure of the problem. Following this common thread, we deal with both with the classical N-body problem of Celestial Mechanics, where interactions feature attractive singularities, and competition-diffusion systems, where pattern formation is driven by strongly repulsive forces. More
precisely, we are interested in periodic and bounded solutions, parabolic trajectories with the final intent to build complex motions and possibly obtain the symbolic dynamics for the general N–body problem. On the other hand, we deal with elliptic, parabolic and hyperbolic systems of differential equations with strongly competing interaction terms, modeling both the dynamics of competing populations (Lotka-
Volterra systems) and other interesting physical phenomena, among which the phase segregation of solitary waves of Gross-Pitaevskii systems arising in the study of multicomponent Bose-Einstein condensates. In particular, we will study existence, multiplicity and asymptotic expansions of solutions when the competition parameter tends to infinity. We shall be concerned with optimal partition problems
related to linear and nonlinear eigenvalues
Summary
This project focuses on nontrivial solutions of systems of differential equations characterized by strongly nonlinear interactions. We are interested in the effect of the nonlinearities on the emergence of non trivial self-organized structures. Such patterns correspond to selected solutions of the differential system possessing special symmetries or shadowing particular shapes. We want to understand, from the
mathematical point of view, what are the main mechanisms involved in the aggregation process in terms of the global variational structure of the problem. Following this common thread, we deal with both with the classical N-body problem of Celestial Mechanics, where interactions feature attractive singularities, and competition-diffusion systems, where pattern formation is driven by strongly repulsive forces. More
precisely, we are interested in periodic and bounded solutions, parabolic trajectories with the final intent to build complex motions and possibly obtain the symbolic dynamics for the general N–body problem. On the other hand, we deal with elliptic, parabolic and hyperbolic systems of differential equations with strongly competing interaction terms, modeling both the dynamics of competing populations (Lotka-
Volterra systems) and other interesting physical phenomena, among which the phase segregation of solitary waves of Gross-Pitaevskii systems arising in the study of multicomponent Bose-Einstein condensates. In particular, we will study existence, multiplicity and asymptotic expansions of solutions when the competition parameter tends to infinity. We shall be concerned with optimal partition problems
related to linear and nonlinear eigenvalues
Max ERC Funding
1 346 145 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym conVIRgens
Project De- and reconstructing virulence strategies of fungal plant pathogens
Researcher (PI) Gunther DOEHLEMANN
Host Institution (HI) UNIVERSITAET ZU KOELN
Country Germany
Call Details Consolidator Grant (CoG), LS9, ERC-2017-COG
Summary Fungal pathogens are enormous threats to plants, causing tremendous losses in worldwide crop production. Mechanistic understanding of fungal virulence is crucial to developing novel plant protection strategies in sustainable agriculture.
Biotrophic pathogens colonize living plant tissue and reprogram their hosts to stimulate proliferation and development of infection structures. To promote infection, fungal pathogens secrete sets of virulence proteins termed “effectors” in a spatiotemporal program. Many economically relevant biotrophs like rusts and powdery mildew fungi are obligate pathogens. These organisms cannot be grown in culture and are not amenable to reverse genetics, which is a severe constraint for current research. In contrast, the biotrophic smut fungi have a haploid yeast stage, which allows simple cultivation and genetic modification. The causal agent of corn smut disease, Ustilago maydis, is one of the best-established model organisms for fungal genetics.
This project aims to utilize the excellent genetic accessibility of U. maydis to approach a previously impossible, pioneering enterprise: the synthetic reconstruction of eukaryotic plant pathogens. In a first step, fungal virulence will be deconstructed by consecutive deletion of the U. maydis effector repertoire to generate disarmed mutants. These strains will serve as chassis for subsequent reconstruction of fungal pathogenicity from different sources. A combination of transcriptomics and comparative genomics will help to define synthetic effector modules to reconstruct virulence in the chassis strains.
Deconstruction of U. maydis virulence will identify a complete arsenal of fungal virulence factors. Reconstruction of virulence will show how effector modules determine fungal virulence, including those of the previously not accessible obligate biotrophs. conVIRgens will thereby provide fundamentally new insights and novel functional tools towards the understanding of microbial virulence.
Summary
Fungal pathogens are enormous threats to plants, causing tremendous losses in worldwide crop production. Mechanistic understanding of fungal virulence is crucial to developing novel plant protection strategies in sustainable agriculture.
Biotrophic pathogens colonize living plant tissue and reprogram their hosts to stimulate proliferation and development of infection structures. To promote infection, fungal pathogens secrete sets of virulence proteins termed “effectors” in a spatiotemporal program. Many economically relevant biotrophs like rusts and powdery mildew fungi are obligate pathogens. These organisms cannot be grown in culture and are not amenable to reverse genetics, which is a severe constraint for current research. In contrast, the biotrophic smut fungi have a haploid yeast stage, which allows simple cultivation and genetic modification. The causal agent of corn smut disease, Ustilago maydis, is one of the best-established model organisms for fungal genetics.
This project aims to utilize the excellent genetic accessibility of U. maydis to approach a previously impossible, pioneering enterprise: the synthetic reconstruction of eukaryotic plant pathogens. In a first step, fungal virulence will be deconstructed by consecutive deletion of the U. maydis effector repertoire to generate disarmed mutants. These strains will serve as chassis for subsequent reconstruction of fungal pathogenicity from different sources. A combination of transcriptomics and comparative genomics will help to define synthetic effector modules to reconstruct virulence in the chassis strains.
Deconstruction of U. maydis virulence will identify a complete arsenal of fungal virulence factors. Reconstruction of virulence will show how effector modules determine fungal virulence, including those of the previously not accessible obligate biotrophs. conVIRgens will thereby provide fundamentally new insights and novel functional tools towards the understanding of microbial virulence.
Max ERC Funding
1 922 000 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym COOPETITION
Project Cooperation and competition in vertical relations: the business strategies and industry oversight of supply agreements and buying patterns
Researcher (PI) Patrick Rey
Host Institution (HI) FONDATION JEAN JACQUES LAFFONT,TOULOUSE SCIENCES ECONOMIQUES
Country France
Call Details Advanced Grant (AdG), SH1, ERC-2013-ADG
Summary "The application proposes to revisit the economics of cooperation and competition in industry vertical chains and develop new tools for industrial organization (IO). Modern IO theory treats firms as unitary, profit-maximizing entities, characterized by well-identified perimeters of activity, and clearly identified either as competitors or as complementors. Yet in practice:
- Industry structures are increasingly complex: Firms distribute for example their activities among partners across the globe, and moved to multiple, interlocking relationships.
- Firms competing for customers or suppliers are also cooperating in other dimensions, e.g., by setting-up common platforms, or by adopting joint common rules within which to compete.
- Supplier -customer relations often involve transaction costs other than pure search costs: adoption costs, learning or shopping costs, or expensive strategies to protect sensitive information.
Understanding the interplay between competition and cooperation is key to designing business strategies, but it has also implications for industry oversight: When should cooperation among competitors be limited or encouraged? Over which dimensions? This application proposes to cover three topics:
1. Allocation of tasks and the choice of partners.
2. Multilateral interlocking relations.
3. Cooperation and competition.
4. Transaction costs, buying patterns and business strategies
While the project falls primarily in the field of applied theory, some of the developments require new tools and interaction with game theorists. Furthermore, empirical validation will require the use of structural econometric modelling (based in particular on consumer panel data) and laboratory experiments. The project has also an interdisciplinary flavour and will benefit from work of and interactions with legal scholars and marketing experts."
Summary
"The application proposes to revisit the economics of cooperation and competition in industry vertical chains and develop new tools for industrial organization (IO). Modern IO theory treats firms as unitary, profit-maximizing entities, characterized by well-identified perimeters of activity, and clearly identified either as competitors or as complementors. Yet in practice:
- Industry structures are increasingly complex: Firms distribute for example their activities among partners across the globe, and moved to multiple, interlocking relationships.
- Firms competing for customers or suppliers are also cooperating in other dimensions, e.g., by setting-up common platforms, or by adopting joint common rules within which to compete.
- Supplier -customer relations often involve transaction costs other than pure search costs: adoption costs, learning or shopping costs, or expensive strategies to protect sensitive information.
Understanding the interplay between competition and cooperation is key to designing business strategies, but it has also implications for industry oversight: When should cooperation among competitors be limited or encouraged? Over which dimensions? This application proposes to cover three topics:
1. Allocation of tasks and the choice of partners.
2. Multilateral interlocking relations.
3. Cooperation and competition.
4. Transaction costs, buying patterns and business strategies
While the project falls primarily in the field of applied theory, some of the developments require new tools and interaction with game theorists. Furthermore, empirical validation will require the use of structural econometric modelling (based in particular on consumer panel data) and laboratory experiments. The project has also an interdisciplinary flavour and will benefit from work of and interactions with legal scholars and marketing experts."
Max ERC Funding
2 068 920 €
Duration
Start date: 2013-12-01, End date: 2018-11-30
Project acronym CoreSat
Project Dynamics of Earth’s core from multi-satellite observations
Researcher (PI) Christopher FINLAY
Host Institution (HI) DANMARKS TEKNISKE UNIVERSITET
Country Denmark
Call Details Consolidator Grant (CoG), PE10, ERC-2017-COG
Summary Earth's magnetic field plays a fundamental role in our planetary habitat, controlling interactions between the Earth and the solar wind. Here, I propose to use magnetic observations, made simultaneously by multiple satellites, along with numerical models of outer core dynamics, to test whether convective processes can account for ongoing changes in the field. The geomagnetic field is generated by a dynamo process within the core converting kinetic energy of the moving liquid metal into magnetic energy. Yet observations show a region of persistently weak field in the South Atlantic that has grown in size in recent decades. Pinning down the core dynamics responsible for this behaviour is essential if we are to understand the detailed time-dependence of the geodynamo, and to forecast future field changes.
Global magnetic observations from the Swarm constellation mission, with three identical satellites now carrying out the most detailed ever survey of the geomagnetic field, provide an exciting opportunity to probe the dynamics of the core in exquisite detail. To exploit this wealth of data, it is urgent that contaminating magnetic sources in the lithosphere and ionosphere are better separated from the core-generated field. I propose to achieve this, and to test the hypothesis that core convection has controlled the recent field evolution in the South Atlantic, via three interlinked projects. First I will co-estimate separate models for the lithospheric and core fields, making use of prior information from crustal geology and dynamo theory. In parallel, I will develop a new scheme for isolating and removing the signature of polar ionospheric currents, better utilising ground-based data. Taking advantage of these improvements, data from Swarm and previous missions will be reprocessed and then assimilated into a purpose-built model of quasi-geostrophic core convection.
Summary
Earth's magnetic field plays a fundamental role in our planetary habitat, controlling interactions between the Earth and the solar wind. Here, I propose to use magnetic observations, made simultaneously by multiple satellites, along with numerical models of outer core dynamics, to test whether convective processes can account for ongoing changes in the field. The geomagnetic field is generated by a dynamo process within the core converting kinetic energy of the moving liquid metal into magnetic energy. Yet observations show a region of persistently weak field in the South Atlantic that has grown in size in recent decades. Pinning down the core dynamics responsible for this behaviour is essential if we are to understand the detailed time-dependence of the geodynamo, and to forecast future field changes.
Global magnetic observations from the Swarm constellation mission, with three identical satellites now carrying out the most detailed ever survey of the geomagnetic field, provide an exciting opportunity to probe the dynamics of the core in exquisite detail. To exploit this wealth of data, it is urgent that contaminating magnetic sources in the lithosphere and ionosphere are better separated from the core-generated field. I propose to achieve this, and to test the hypothesis that core convection has controlled the recent field evolution in the South Atlantic, via three interlinked projects. First I will co-estimate separate models for the lithospheric and core fields, making use of prior information from crustal geology and dynamo theory. In parallel, I will develop a new scheme for isolating and removing the signature of polar ionospheric currents, better utilising ground-based data. Taking advantage of these improvements, data from Swarm and previous missions will be reprocessed and then assimilated into a purpose-built model of quasi-geostrophic core convection.
Max ERC Funding
1 828 708 €
Duration
Start date: 2018-03-01, End date: 2023-02-28
Project acronym CORFRONMAT
Project Correlated frontiers of many-body quantum mathematics and condensed matter physics
Researcher (PI) Nicolas ROUGERIE
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Country France
Call Details Starting Grant (StG), PE1, ERC-2017-STG
Summary One of the main challenges in condensed matter physics is to understand strongly correlated quantum systems. Our purpose is to approach this issue from the point of view of rigorous mathematical analysis. The goals are twofold: develop a mathematical framework applicable to physically relevant scenarii, take inspiration from the physics to introduce new topics in mathematics. The scope of the proposal thus goes from physically oriented questions (theoretical description and modelization of physical systems) to analytical ones (rigorous derivation and analysis of reduced models) in several cases where strong correlations play the key role.
In a first part, we aim at developing mathematical methods of general applicability to go beyond mean-field theory in different contexts. Our long-term goal is to forge new tools to attack important open problems in the field. Particular emphasis will be put on the structural properties of large quantum states as a general tool.
A second part is concerned with so-called fractional quantum Hall states, host of the fractional quantum Hall effect. Despite the appealing structure of their built-in correlations, their mathematical study is in its infancy. They however constitute an excellent testing ground to develop ideas of possible wider applicability. In particular, we introduce and study a new class of many-body variational problems.
In the third part we discuss so-called anyons, exotic quasi-particles thought to emerge as excitations of highly-correlated quantum systems. Their modelization gives rise to rather unusual, strongly interacting, many-body Hamiltonians with a topological content. Mathematical analysis will help us shed light on those, clarifying the characteristic properties that could ultimately be experimentally tested.
Summary
One of the main challenges in condensed matter physics is to understand strongly correlated quantum systems. Our purpose is to approach this issue from the point of view of rigorous mathematical analysis. The goals are twofold: develop a mathematical framework applicable to physically relevant scenarii, take inspiration from the physics to introduce new topics in mathematics. The scope of the proposal thus goes from physically oriented questions (theoretical description and modelization of physical systems) to analytical ones (rigorous derivation and analysis of reduced models) in several cases where strong correlations play the key role.
In a first part, we aim at developing mathematical methods of general applicability to go beyond mean-field theory in different contexts. Our long-term goal is to forge new tools to attack important open problems in the field. Particular emphasis will be put on the structural properties of large quantum states as a general tool.
A second part is concerned with so-called fractional quantum Hall states, host of the fractional quantum Hall effect. Despite the appealing structure of their built-in correlations, their mathematical study is in its infancy. They however constitute an excellent testing ground to develop ideas of possible wider applicability. In particular, we introduce and study a new class of many-body variational problems.
In the third part we discuss so-called anyons, exotic quasi-particles thought to emerge as excitations of highly-correlated quantum systems. Their modelization gives rise to rather unusual, strongly interacting, many-body Hamiltonians with a topological content. Mathematical analysis will help us shed light on those, clarifying the characteristic properties that could ultimately be experimentally tested.
Max ERC Funding
1 056 664 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym Cortic_al_gorithms
Project Cortical algorithms for perceptual grouping
Researcher (PI) Pieter Roelf Roelfsema
Host Institution (HI) KONINKLIJKE NEDERLANDSE AKADEMIE VAN WETENSCHAPPEN - KNAW
Country Netherlands
Call Details Advanced Grant (AdG), SH4, ERC-2013-ADG
Summary Why do we perceive objects? Visual perception starts with localized filters that subdivide the image into fragments that undergo separate analyses. Our visual system has to reconstruct the objects that surround us. It has to bind image fragments of the same object and to segregate them from other objects and the background. The standard view in psychology is that perceptual grouping is achieved by a parallel, pre-attentive process that relies on Gestalt grouping cues. My work has started to challenge this view by demonstrating that the visual cortex also implements a serial, attention-demanding algorithm for perceptual grouping. This grouping process may represent the first serial brain algorithm that can be understood at the psychological, neurophysiological and computational level. The present proposal therefore has the potential to revolutionize our view of visual cognition.
Understanding feature binding would represent a breakthrough in cognitive neuroscience. Different brain areas represent distinct visual features. How is activity in these areas integrated? We propose that perceptual grouping relies on two complementary processes, “base-grouping” and “incremental grouping”. We hypothesize that base-grouping is pre-attentive and relies on feed-forward connections from lower to higher areas that activate neurons and determine their stimulus selectivity. In contrast, we propose that incremental grouping relies on feedback and horizontal connections, which propagate enhanced neuronal activity to highlight all the features that belong to the same perceptual object. The present proposal will determine the role of attention in feature binding, the interactions between brain areas for grouping with fMRI in humans and with electrophysiology in non-human primates to reveal the algorithms for perceptual grouping as they are implemented in our brains.
Summary
Why do we perceive objects? Visual perception starts with localized filters that subdivide the image into fragments that undergo separate analyses. Our visual system has to reconstruct the objects that surround us. It has to bind image fragments of the same object and to segregate them from other objects and the background. The standard view in psychology is that perceptual grouping is achieved by a parallel, pre-attentive process that relies on Gestalt grouping cues. My work has started to challenge this view by demonstrating that the visual cortex also implements a serial, attention-demanding algorithm for perceptual grouping. This grouping process may represent the first serial brain algorithm that can be understood at the psychological, neurophysiological and computational level. The present proposal therefore has the potential to revolutionize our view of visual cognition.
Understanding feature binding would represent a breakthrough in cognitive neuroscience. Different brain areas represent distinct visual features. How is activity in these areas integrated? We propose that perceptual grouping relies on two complementary processes, “base-grouping” and “incremental grouping”. We hypothesize that base-grouping is pre-attentive and relies on feed-forward connections from lower to higher areas that activate neurons and determine their stimulus selectivity. In contrast, we propose that incremental grouping relies on feedback and horizontal connections, which propagate enhanced neuronal activity to highlight all the features that belong to the same perceptual object. The present proposal will determine the role of attention in feature binding, the interactions between brain areas for grouping with fMRI in humans and with electrophysiology in non-human primates to reveal the algorithms for perceptual grouping as they are implemented in our brains.
Max ERC Funding
2 500 000 €
Duration
Start date: 2014-05-01, End date: 2019-04-30
Project acronym COSMOS
Project COSMOS: Computational Shaping and Modeling of Musical Structures
Researcher (PI) Elaine Chew
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Country France
Call Details Advanced Grant (AdG), SH5, ERC-2017-ADG
Summary Music performance is considered by many to be one of the most breath taking feats of human intelligence. That music performance is a creative act is no longer a disputed fact, but the very nature of this creative work remains illusive. Taking the view that the creative work of performance is the making and shaping of music structures, and that this creative thinking is a form of problem solving, COSMOS proposes an integrated programme of research to transform our understanding of the human experience of performed music, which is almost all music that we hear, and of the creativity of music performance, which addresses how music is made. The research themes are as follows: i) to find new ways to represent, explore, and talk about performance; ii) to harness volunteer thinking (citizen science) for music performance research by focussing on structures experienced and problem solving; iii) to create sandbox environments to experiment with making performed structures; iv) to create theoretical frameworks to discover the reasoning behind the structures perceived and made; and, v) to foster community engagement by training experts to provide feedback on structure solutions so as to increase public understanding of the creative work in music performance. Analysis of the perceived and designed structures will be based on a novel duality paradigm that turns conventional computational music structure analysis on its head to reverse engineer why a perceiver or a performer chooses a particular structure. Embedded in the approach is the use of computational thinking to optimise representations and theories to ensure accuracy, robustness, efficiency, and scalability. The PI is an established performer and a leading authority in music representation, music information research, and music perception and cognition. The project will have far reaching impact, reconfiguring expert and public views of music performance and time-varying music-like sequences such as cardiac arrhythmia.
Summary
Music performance is considered by many to be one of the most breath taking feats of human intelligence. That music performance is a creative act is no longer a disputed fact, but the very nature of this creative work remains illusive. Taking the view that the creative work of performance is the making and shaping of music structures, and that this creative thinking is a form of problem solving, COSMOS proposes an integrated programme of research to transform our understanding of the human experience of performed music, which is almost all music that we hear, and of the creativity of music performance, which addresses how music is made. The research themes are as follows: i) to find new ways to represent, explore, and talk about performance; ii) to harness volunteer thinking (citizen science) for music performance research by focussing on structures experienced and problem solving; iii) to create sandbox environments to experiment with making performed structures; iv) to create theoretical frameworks to discover the reasoning behind the structures perceived and made; and, v) to foster community engagement by training experts to provide feedback on structure solutions so as to increase public understanding of the creative work in music performance. Analysis of the perceived and designed structures will be based on a novel duality paradigm that turns conventional computational music structure analysis on its head to reverse engineer why a perceiver or a performer chooses a particular structure. Embedded in the approach is the use of computational thinking to optimise representations and theories to ensure accuracy, robustness, efficiency, and scalability. The PI is an established performer and a leading authority in music representation, music information research, and music perception and cognition. The project will have far reaching impact, reconfiguring expert and public views of music performance and time-varying music-like sequences such as cardiac arrhythmia.
Max ERC Funding
2 495 776 €
Duration
Start date: 2019-06-01, End date: 2024-05-31
Project acronym Couplet
Project Transient climate change in the coupled atmosphere--ocean system
Researcher (PI) Jonathan GREGORY
Host Institution (HI) THE UNIVERSITY OF READING
Country United Kingdom
Call Details Advanced Grant (AdG), PE10, ERC-2017-ADG
Summary The magnitude and impacts of many aspects of projected climate change due to anthropogenic emissions of greenhouse gases are expected to be greater for larger global mean surface temperature change. Although climate models have hugely improved, knowledge has grown and confidence increased, the climate feedback parameter, which determines the amount of global warming that results at equilibrium for a given radiative forcing (the heating due to greenhouse gases and other agents) is still very uncertain; for example, the range of equilibrium warming for a CO2 concentration of twice the pre-industrial level is 1.5-4.5 K, the same as estimated 25 years ago. It is widely assumed that we can evaluate the climate feedback parameter from the observed past or from an idealised model experiment with increased CO2, then use it to estimate global warming for future scenarios. However, research has revealed that, as well as being uncertain, the climate feedback parameter is not constant; it depends on the nature and magnitude of the forcing agent, it changes over time under constant forcing, it does not apply equally to spontaneous unforced climate variability, and it is not the same in the historical record and projections. The hypothesis of this project is that these reflect inadequacies of the global energy balance framework, which relates radiative forcing, climate feedback and ocean heat uptake to transient climate change. The objectives are therefore to develop a new framework for describing the variations of the coupled atmosphere--ocean climate system, by taking into account the relationships between the geographical patterns of change and its time-development in analyses of simulated and observed climate change, and to apply this framework to the analysis of historical climate change, in order to set refined constraints on the processes, pattern and magnitude of future CO2-forced climate change.
Summary
The magnitude and impacts of many aspects of projected climate change due to anthropogenic emissions of greenhouse gases are expected to be greater for larger global mean surface temperature change. Although climate models have hugely improved, knowledge has grown and confidence increased, the climate feedback parameter, which determines the amount of global warming that results at equilibrium for a given radiative forcing (the heating due to greenhouse gases and other agents) is still very uncertain; for example, the range of equilibrium warming for a CO2 concentration of twice the pre-industrial level is 1.5-4.5 K, the same as estimated 25 years ago. It is widely assumed that we can evaluate the climate feedback parameter from the observed past or from an idealised model experiment with increased CO2, then use it to estimate global warming for future scenarios. However, research has revealed that, as well as being uncertain, the climate feedback parameter is not constant; it depends on the nature and magnitude of the forcing agent, it changes over time under constant forcing, it does not apply equally to spontaneous unforced climate variability, and it is not the same in the historical record and projections. The hypothesis of this project is that these reflect inadequacies of the global energy balance framework, which relates radiative forcing, climate feedback and ocean heat uptake to transient climate change. The objectives are therefore to develop a new framework for describing the variations of the coupled atmosphere--ocean climate system, by taking into account the relationships between the geographical patterns of change and its time-development in analyses of simulated and observed climate change, and to apply this framework to the analysis of historical climate change, in order to set refined constraints on the processes, pattern and magnitude of future CO2-forced climate change.
Max ERC Funding
2 127 711 €
Duration
Start date: 2018-10-01, End date: 2023-09-30
Project acronym COVOPRIM
Project A Comparative Study of Voice Perception in Primates
Researcher (PI) Pascal Georges BELIN
Host Institution (HI) UNIVERSITE D'AIX MARSEILLE
Country France
Call Details Advanced Grant (AdG), SH4, ERC-2017-ADG
Summary With COVOPRIM I propose to reconstruct the recent evolutionary history of one often overlooked component of speech and language: voice perception. Perceptual and neural mechanisms of voice perception will be compared between humans, macaques and marmosets –two highly vocal and extensively studied monkey species–to quantify cross-species differences and infer mechanisms potentially inherited from a common ancestor. Two key building blocks of vocal communication detailed in my past research in humans will be compared across species: (1) the sensitivity to conspecific vocalizations, and (2) the processing of speaker/caller identity.
COVOPRIM is organized in three workpackages (WPs). WP1 will use large-scale behavioural testing based on ad-lib access of monkeys to automated test systems (following the highly successful model developed locally with baboons). Two main behavioural experiments will establish psychometric response functions for robust cross-species comparison. WP2 will use functional magnetic resonance imaging (fMRI) to measure cerebral activity during auditory stimulation in the three species. I will compare across brains the organization of what I hypothesize constitutes a “voice patch system” similar to the face patch system of visual cortex and broadly conserved in primates. I will also take advantage of the monkey models and use long-term, subject-specific enrichments of the auditory stimulation to probe the experience-dependence of neural coding in the voice patch system—an outstanding issue in human voice perception. WP3 will use fMRI-guided microstimulation in monkeys and transcranial magnetic stimulation in humans to establish the effective connectivity within the voice patch system and test the causal relation between voice patch neuronal activity and voice perception behaviour.
COVOPRIM is expected to generate considerable advances in our understanding of the recent evolution in primates of the perceptual and neural mechanisms of voice perception.
Summary
With COVOPRIM I propose to reconstruct the recent evolutionary history of one often overlooked component of speech and language: voice perception. Perceptual and neural mechanisms of voice perception will be compared between humans, macaques and marmosets –two highly vocal and extensively studied monkey species–to quantify cross-species differences and infer mechanisms potentially inherited from a common ancestor. Two key building blocks of vocal communication detailed in my past research in humans will be compared across species: (1) the sensitivity to conspecific vocalizations, and (2) the processing of speaker/caller identity.
COVOPRIM is organized in three workpackages (WPs). WP1 will use large-scale behavioural testing based on ad-lib access of monkeys to automated test systems (following the highly successful model developed locally with baboons). Two main behavioural experiments will establish psychometric response functions for robust cross-species comparison. WP2 will use functional magnetic resonance imaging (fMRI) to measure cerebral activity during auditory stimulation in the three species. I will compare across brains the organization of what I hypothesize constitutes a “voice patch system” similar to the face patch system of visual cortex and broadly conserved in primates. I will also take advantage of the monkey models and use long-term, subject-specific enrichments of the auditory stimulation to probe the experience-dependence of neural coding in the voice patch system—an outstanding issue in human voice perception. WP3 will use fMRI-guided microstimulation in monkeys and transcranial magnetic stimulation in humans to establish the effective connectivity within the voice patch system and test the causal relation between voice patch neuronal activity and voice perception behaviour.
COVOPRIM is expected to generate considerable advances in our understanding of the recent evolution in primates of the perceptual and neural mechanisms of voice perception.
Max ERC Funding
2 900 000 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym CRAACE
Project Continuity and Rupture in Central European Art and Architecture, 1918-1939
Researcher (PI) Matthew RAMPLEY
Host Institution (HI) Masarykova univerzita
Country Czechia
Call Details Advanced Grant (AdG), SH5, ERC-2017-ADG
Summary When new political elites and social structures emerge out of a historical rupture, how are art and architecture affected? In 1918 the political map of central Europe was redrawn as a result of the collapse of Austria-Hungary, marking a new era for the region. Through comparative analysis of the visual arts in 3 states built on the ruins of the Habsburg Empire (Austria, Hungary and [former] Czechoslovakia), this project examines how such political discontinuity affected art and architecture between 1918 and 1939. The project is organised into 4 themes, each resulting in a monograph:
1. Vernacular modernisms, nostalgia and the avant-garde
2. Presenting the state: world fairs and exhibitionary cultures
3. Piety, reaction and renewal
4. Contested histories: monuments, memory and representations of the historical past
It is the first systematic and comprehensive trans-national study of this type, based on the claim that the successor states to Austria-Hungary belonged to a common cultural space informed by the shared memory of the long years of Habsburg society and culture. The project focuses on the contradictory ways that visual arts of artists and architects in central Europe adapted to and tried to shape new socio-political circumstances in the light of the past. The project thus examines the long shadow of the Habsburg Empire over the art and culture of the twentieth century.
The project also considers the impact of the political and ideological imperatives of the three successor states on the visual arts; how did governments treat the past? Did they encourage a sense of historical caesura or look to the past for legitimation? How did artists and architects respond to such new impulses? In answering these questions the project analyses the conflicts between avant-gardes and more conservative artistic movements; the role of the visual arts in interwar memory politics; the place of art in the nexus of religion, national and state identity.
Summary
When new political elites and social structures emerge out of a historical rupture, how are art and architecture affected? In 1918 the political map of central Europe was redrawn as a result of the collapse of Austria-Hungary, marking a new era for the region. Through comparative analysis of the visual arts in 3 states built on the ruins of the Habsburg Empire (Austria, Hungary and [former] Czechoslovakia), this project examines how such political discontinuity affected art and architecture between 1918 and 1939. The project is organised into 4 themes, each resulting in a monograph:
1. Vernacular modernisms, nostalgia and the avant-garde
2. Presenting the state: world fairs and exhibitionary cultures
3. Piety, reaction and renewal
4. Contested histories: monuments, memory and representations of the historical past
It is the first systematic and comprehensive trans-national study of this type, based on the claim that the successor states to Austria-Hungary belonged to a common cultural space informed by the shared memory of the long years of Habsburg society and culture. The project focuses on the contradictory ways that visual arts of artists and architects in central Europe adapted to and tried to shape new socio-political circumstances in the light of the past. The project thus examines the long shadow of the Habsburg Empire over the art and culture of the twentieth century.
The project also considers the impact of the political and ideological imperatives of the three successor states on the visual arts; how did governments treat the past? Did they encourage a sense of historical caesura or look to the past for legitimation? How did artists and architects respond to such new impulses? In answering these questions the project analyses the conflicts between avant-gardes and more conservative artistic movements; the role of the visual arts in interwar memory politics; the place of art in the nexus of religion, national and state identity.
Max ERC Funding
2 468 359 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym CREAM
Project Cracking the emotional code of music
Researcher (PI) Jean-Julien Aucouturier
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Country France
Call Details Starting Grant (StG), SH4, ERC-2013-StG
Summary "This project aims to ""crack"" the emotional code of music, i.e. to provide, for the first time, a precise characterization of what type of music signal is able to activate one emotion or another. Research into this problem so far has been mainly correlating indistinct emotional reactions to uncontrolled musical stimuli, with much technical sophistication but to little avail. Project CREAM builds on the PI's unique bi-disciplinary career spanning both computer science and cognitive neuroscience, to propose a radically novel approach: instead of using audio signal processing to simply observe musical stimuli a posteriori, we will harvest a series of recent developments in the field to build powerful new tools of experimental control, able to engineer musical stimuli that can activate specific emotional pathways (e.g. music manipulated to sound like expressive speech, or to sound like survival-relevant environmental sounds).
By combining this creative use of new technologies with a well-concerted mix of methods from experimental psychology and cognitive neuroscience (incl. psychoacoustics, fNIRS brain imaging, EEG/ERP paradigms, intercultural studies, infant studies), project CREAM will yield the first functional description of the neural and cognitive processes involved in the induction of emotions by music, and establish new avenues for interdisciplinary research between the life sciences and the information sciences.
But most spectacularly, the fundamental breakthroughs brought by project CREAM will unlatch the therapeutic potential of musical emotions. Music will become a cognitive technology, with algorithms able to ""engineer"" it to mobilize one neuronal pathway or another, non-intrusively and non-pharmacologically. Within the proposed 5-year plan, support from the ERC will allow to implement a series of high-impact clinical studies with are direct applications of our findings, e.g. for the linguistic rehabilitation of aphasic stroke victims."
Summary
"This project aims to ""crack"" the emotional code of music, i.e. to provide, for the first time, a precise characterization of what type of music signal is able to activate one emotion or another. Research into this problem so far has been mainly correlating indistinct emotional reactions to uncontrolled musical stimuli, with much technical sophistication but to little avail. Project CREAM builds on the PI's unique bi-disciplinary career spanning both computer science and cognitive neuroscience, to propose a radically novel approach: instead of using audio signal processing to simply observe musical stimuli a posteriori, we will harvest a series of recent developments in the field to build powerful new tools of experimental control, able to engineer musical stimuli that can activate specific emotional pathways (e.g. music manipulated to sound like expressive speech, or to sound like survival-relevant environmental sounds).
By combining this creative use of new technologies with a well-concerted mix of methods from experimental psychology and cognitive neuroscience (incl. psychoacoustics, fNIRS brain imaging, EEG/ERP paradigms, intercultural studies, infant studies), project CREAM will yield the first functional description of the neural and cognitive processes involved in the induction of emotions by music, and establish new avenues for interdisciplinary research between the life sciences and the information sciences.
But most spectacularly, the fundamental breakthroughs brought by project CREAM will unlatch the therapeutic potential of musical emotions. Music will become a cognitive technology, with algorithms able to ""engineer"" it to mobilize one neuronal pathway or another, non-intrusively and non-pharmacologically. Within the proposed 5-year plan, support from the ERC will allow to implement a series of high-impact clinical studies with are direct applications of our findings, e.g. for the linguistic rehabilitation of aphasic stroke victims."
Max ERC Funding
1 499 992 €
Duration
Start date: 2014-10-01, End date: 2019-09-30
Project acronym CriBLaM
Project Critical behavior of lattice models
Researcher (PI) Hugo DUMINIL-COPIN
Host Institution (HI) INSTITUT DES HAUTES ETUDES SCIENTIFIQUES
Country France
Call Details Starting Grant (StG), PE1, ERC-2017-STG
Summary Statistical physics is a theory allowing the derivation of the statistical behavior of macroscopic systems from the description of the interactions of their microscopic constituents. For more than a century, lattice models (i.e. random systems defined on lattices) have been introduced as discrete models describing the phase transition for a large variety of phenomena, ranging from ferroelectrics to lattice gas.
In the last decades, our understanding of percolation and the Ising model, two classical exam- ples of lattice models, progressed greatly. Nonetheless, major questions remain open on these two models.
The goal of this project is to break new grounds in the understanding of phase transition in statistical physics by using and aggregating in a pioneering way multiple techniques from proba- bility, combinatorics, analysis and integrable systems. In this project, we will focus on three main goals:
Objective A Provide a solid mathematical framework for the study of universality for Bernoulli percolation and the Ising model in two dimensions.
Objective B Advance in the understanding of the critical behavior of Bernoulli percolation and the Ising model in dimensions larger or equal to 3.
Objective C Greatly improve the understanding of planar lattice models obtained by general- izations of percolation and the Ising model, through the design of an innovative mathematical theory of phase transition dedicated to graphical representations of classical lattice models, such as Fortuin-Kasteleyn percolation, Ashkin-Teller models and Loop models.
Most of the questions that we propose to tackle are notoriously difficult open problems. We believe that breakthroughs in these fundamental questions would reshape significantly our math- ematical understanding of phase transition.
Summary
Statistical physics is a theory allowing the derivation of the statistical behavior of macroscopic systems from the description of the interactions of their microscopic constituents. For more than a century, lattice models (i.e. random systems defined on lattices) have been introduced as discrete models describing the phase transition for a large variety of phenomena, ranging from ferroelectrics to lattice gas.
In the last decades, our understanding of percolation and the Ising model, two classical exam- ples of lattice models, progressed greatly. Nonetheless, major questions remain open on these two models.
The goal of this project is to break new grounds in the understanding of phase transition in statistical physics by using and aggregating in a pioneering way multiple techniques from proba- bility, combinatorics, analysis and integrable systems. In this project, we will focus on three main goals:
Objective A Provide a solid mathematical framework for the study of universality for Bernoulli percolation and the Ising model in two dimensions.
Objective B Advance in the understanding of the critical behavior of Bernoulli percolation and the Ising model in dimensions larger or equal to 3.
Objective C Greatly improve the understanding of planar lattice models obtained by general- izations of percolation and the Ising model, through the design of an innovative mathematical theory of phase transition dedicated to graphical representations of classical lattice models, such as Fortuin-Kasteleyn percolation, Ashkin-Teller models and Loop models.
Most of the questions that we propose to tackle are notoriously difficult open problems. We believe that breakthroughs in these fundamental questions would reshape significantly our math- ematical understanding of phase transition.
Max ERC Funding
1 499 912 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym Critical
Project Behaviour near criticality
Researcher (PI) Martin Hairer
Host Institution (HI) THE UNIVERSITY OF WARWICK
Country United Kingdom
Call Details Consolidator Grant (CoG), PE1, ERC-2013-CoG
Summary "One of the main challenges of modern mathematical physics is to understand the behaviour of systems at or near criticality. In a number of cases, one can argue heuristically that this behaviour should be described by a nonlinear stochastic partial differential equation. Some examples of systems of interest are models of phase coexistence near the critical temperature, one-dimensional interface growth models, and models of absorption of a diffusing particle by random impurities. Unfortunately, the equations arising in all of these contexts are mathematically ill-posed. This is to the extent that they defeat not only ""standard"" stochastic PDE techniques (as developed by Da Prato / Zabczyk / Röckner / Walsh / Krylov / etc), but also more recent approaches based on Wick renormalisation of nonlinearities (Da Prato / Debussche / etc).
Over the past year or so, I have been developing a theory of regularity structures that allows to give a rigorous mathematical interpretation to such equations, which therefore allows to build the mathematical objects conjectured to describe the abovementioned systems near criticality. The aim of the proposal is to study the convergence of a variety of concrete microscopic models to these limiting objects. The main fundamental mathematical tools to be developed in this endeavour are a discrete analogue to the theory of regularity structures, as well as a number of nonlinear invariance principles.
If successful, the project will yield unique insight in the large-scale behaviour of a number of physically relevant systems in regimes where both nonlinear effects and random fluctuations compete with equal strength."
Summary
"One of the main challenges of modern mathematical physics is to understand the behaviour of systems at or near criticality. In a number of cases, one can argue heuristically that this behaviour should be described by a nonlinear stochastic partial differential equation. Some examples of systems of interest are models of phase coexistence near the critical temperature, one-dimensional interface growth models, and models of absorption of a diffusing particle by random impurities. Unfortunately, the equations arising in all of these contexts are mathematically ill-posed. This is to the extent that they defeat not only ""standard"" stochastic PDE techniques (as developed by Da Prato / Zabczyk / Röckner / Walsh / Krylov / etc), but also more recent approaches based on Wick renormalisation of nonlinearities (Da Prato / Debussche / etc).
Over the past year or so, I have been developing a theory of regularity structures that allows to give a rigorous mathematical interpretation to such equations, which therefore allows to build the mathematical objects conjectured to describe the abovementioned systems near criticality. The aim of the proposal is to study the convergence of a variety of concrete microscopic models to these limiting objects. The main fundamental mathematical tools to be developed in this endeavour are a discrete analogue to the theory of regularity structures, as well as a number of nonlinear invariance principles.
If successful, the project will yield unique insight in the large-scale behaviour of a number of physically relevant systems in regimes where both nonlinear effects and random fluctuations compete with equal strength."
Max ERC Funding
1 526 234 €
Duration
Start date: 2014-09-01, End date: 2019-08-31
Project acronym CSG
Project C° symplectic geometry
Researcher (PI) Lev Buhovski
Host Institution (HI) TEL AVIV UNIVERSITY
Country Israel
Call Details Starting Grant (StG), PE1, ERC-2017-STG
Summary "The objective of this proposal is to study ""continuous"" (or C^0) objects, as well as C^0 properties of smooth objects, in the field of symplectic geometry and topology. C^0 symplectic geometry has seen spectacular progress in recent years, drawing attention of mathematicians from various background. The proposed study aims to discover new fascinating C^0 phenomena in symplectic geometry.
One circle of questions concerns symplectic and Hamiltonian homeomorphisms. Recent studies indicate that these objects possess both rigidity and flexibility, appearing in surprising and counter-intuitive ways. Our understanding of symplectic and Hamiltonian homeomorphisms is far from being satisfactory, and here we intend to study questions related to action of symplectic homeomorphisms on submanifolds. Some other questions are about Hamiltonian homeomorphisms in relation to the celebrated Arnold conjecture. The PI suggests to study spectral invariants of continuous Hamiltonian flows, which allow to formulate the C^0 Arnold conjecture in higher dimensions. Another central problem that the PI will work on is the C^0 flux conjecture.
A second circle of questions is about the Poisson bracket operator, and its functional-theoretic properties. The first question concerns the lower bound for the Poisson bracket invariant of a cover, conjectured by L. Polterovich who indicated relations between this problem and quantum mechanics. Another direction aims to study the C^0 rigidity versus flexibility of the L_p norm of the Poisson bracket. Despite a recent progress in dimension two showing rigidity, very little is known in higher dimensions. The PI proposes to use combination of tools from topology and from hard analysis in order to address this question, whose solution will be a big step towards understanding functional-theoretic properties of the Poisson bracket operator."
Summary
"The objective of this proposal is to study ""continuous"" (or C^0) objects, as well as C^0 properties of smooth objects, in the field of symplectic geometry and topology. C^0 symplectic geometry has seen spectacular progress in recent years, drawing attention of mathematicians from various background. The proposed study aims to discover new fascinating C^0 phenomena in symplectic geometry.
One circle of questions concerns symplectic and Hamiltonian homeomorphisms. Recent studies indicate that these objects possess both rigidity and flexibility, appearing in surprising and counter-intuitive ways. Our understanding of symplectic and Hamiltonian homeomorphisms is far from being satisfactory, and here we intend to study questions related to action of symplectic homeomorphisms on submanifolds. Some other questions are about Hamiltonian homeomorphisms in relation to the celebrated Arnold conjecture. The PI suggests to study spectral invariants of continuous Hamiltonian flows, which allow to formulate the C^0 Arnold conjecture in higher dimensions. Another central problem that the PI will work on is the C^0 flux conjecture.
A second circle of questions is about the Poisson bracket operator, and its functional-theoretic properties. The first question concerns the lower bound for the Poisson bracket invariant of a cover, conjectured by L. Polterovich who indicated relations between this problem and quantum mechanics. Another direction aims to study the C^0 rigidity versus flexibility of the L_p norm of the Poisson bracket. Despite a recent progress in dimension two showing rigidity, very little is known in higher dimensions. The PI proposes to use combination of tools from topology and from hard analysis in order to address this question, whose solution will be a big step towards understanding functional-theoretic properties of the Poisson bracket operator."
Max ERC Funding
1 345 282 €
Duration
Start date: 2017-10-01, End date: 2022-09-30
Project acronym Ctrl-ImpAct
Project Control of impulsive action
Researcher (PI) Frederick Leon Julien VERBRUGGEN
Host Institution (HI) UNIVERSITEIT GENT
Country Belgium
Call Details Consolidator Grant (CoG), SH4, ERC-2017-COG
Summary Adaptive behaviour is typically attributed to an executive-control system that allows people to regulate impulsive actions and to fulfil long-term goals instead. Failures to regulate impulsive actions have been associated with a variety of clinical and behavioural disorders. Therefore, establishing a good understanding of impulse-control mechanisms and how to improve them could be hugely beneficial for both individuals and society at large. Yet many fundamental questions remain unanswered. This stems from a narrow focus on reactive inhibitory control and well-practiced actions. To make significant progress, we need to develop new models that integrate different aspects of impulsive action and executive control. The proposed research program aims to answer five fundamental questions. (1) Can novel impulsive actions arise during task-preparation stages?; (2) What is the role of negative emotions in the origin and control of impulsive actions?; (3) How does learning modulate impulsive behaviour?; (4) When are impulsive actions (dys)functional?; and (5) How is variation in state impulsivity associated with trait impulsivity?
To answer these questions, we will use carefully designed behavioural paradigms, cognitive neuroscience techniques (TMS & EEG), physiological measures (e.g. facial EMG), and mathematical modelling of decision-making to specify the origin and control of impulsive actions. Our ultimate goal is to transform the impulsive action field by replacing the currently dominant ‘inhibitory control’ models of impulsive action with detailed multifaceted models that can explain impulsivity and control across time and space. Developing a new behavioural model of impulsive action will also contribute to a better understanding of the causes of individual differences in impulsivity and the many disorders associated with impulse-control deficits.
Summary
Adaptive behaviour is typically attributed to an executive-control system that allows people to regulate impulsive actions and to fulfil long-term goals instead. Failures to regulate impulsive actions have been associated with a variety of clinical and behavioural disorders. Therefore, establishing a good understanding of impulse-control mechanisms and how to improve them could be hugely beneficial for both individuals and society at large. Yet many fundamental questions remain unanswered. This stems from a narrow focus on reactive inhibitory control and well-practiced actions. To make significant progress, we need to develop new models that integrate different aspects of impulsive action and executive control. The proposed research program aims to answer five fundamental questions. (1) Can novel impulsive actions arise during task-preparation stages?; (2) What is the role of negative emotions in the origin and control of impulsive actions?; (3) How does learning modulate impulsive behaviour?; (4) When are impulsive actions (dys)functional?; and (5) How is variation in state impulsivity associated with trait impulsivity?
To answer these questions, we will use carefully designed behavioural paradigms, cognitive neuroscience techniques (TMS & EEG), physiological measures (e.g. facial EMG), and mathematical modelling of decision-making to specify the origin and control of impulsive actions. Our ultimate goal is to transform the impulsive action field by replacing the currently dominant ‘inhibitory control’ models of impulsive action with detailed multifaceted models that can explain impulsivity and control across time and space. Developing a new behavioural model of impulsive action will also contribute to a better understanding of the causes of individual differences in impulsivity and the many disorders associated with impulse-control deficits.
Max ERC Funding
1 998 438 €
Duration
Start date: 2018-06-01, End date: 2023-11-30
Project acronym CuRE
Project Cardiac REgeneration from within
Researcher (PI) Mauro GIACCA
Host Institution (HI) KING'S COLLEGE LONDON
Country United Kingdom
Call Details Advanced Grant (AdG), LS4, ERC-2017-ADG
Summary Biotechnological therapies for patients with myocardial infarction and heart failure are urgently needed, in light of the breadth of these diseases and a lack of curative treatments. CuRE is an ambitious project aimed at identifying novel factors (cytokines, growth factors, microRNAs) that promote cardiomyocyte proliferation and can thus be transformed into innovative therapeutics to stimulate cardiac regeneration. The Project leads from two concepts: first, that cardiac regeneration can be obtained by stimulating the endogenous capacity of cardiomyocytes to proliferate, second that effective biotherapeutics might be identified through systematic screenings both in vivo and ex vivo. In the mouse, CuRE will take advantage of two unique arrayed libraries cloned in adeno-associated virus (AAV) vectors, one corresponding to the secretome (1200 factors) and the other to the miRNAome (800 pri-miRNA genes). Both libraries will be functionally screened in mice to search for factors that enhance cardiac regeneration. This in vivo selection approach will be complemented by a series of high throughput screenings on primary cardiomyocytes ex vivo, aimed at systematically assessing the involvement of all components of the ubiquitin/proteasome pathway, the cytoskeleton and the sarcomere on cell proliferation. Cytokines and miRNAs can both be developed to become therapeutic molecules, in the form of recombinant proteins and synthetic nucleic acids, respectively. Therefore, a key aim of CuRE will be to establish procedures for their production and administration in vivo, and to assess their efficacy in both small and large animal models of myocardial damage. In addition to this translational goal, the project will entail the successful achievement of several intermediate objectives, each of which possesses intrinsic validity in terms of basic discovery and is thus expected to extend technology and knowledge in the cardiovascular field beyond state-of-the art.
Summary
Biotechnological therapies for patients with myocardial infarction and heart failure are urgently needed, in light of the breadth of these diseases and a lack of curative treatments. CuRE is an ambitious project aimed at identifying novel factors (cytokines, growth factors, microRNAs) that promote cardiomyocyte proliferation and can thus be transformed into innovative therapeutics to stimulate cardiac regeneration. The Project leads from two concepts: first, that cardiac regeneration can be obtained by stimulating the endogenous capacity of cardiomyocytes to proliferate, second that effective biotherapeutics might be identified through systematic screenings both in vivo and ex vivo. In the mouse, CuRE will take advantage of two unique arrayed libraries cloned in adeno-associated virus (AAV) vectors, one corresponding to the secretome (1200 factors) and the other to the miRNAome (800 pri-miRNA genes). Both libraries will be functionally screened in mice to search for factors that enhance cardiac regeneration. This in vivo selection approach will be complemented by a series of high throughput screenings on primary cardiomyocytes ex vivo, aimed at systematically assessing the involvement of all components of the ubiquitin/proteasome pathway, the cytoskeleton and the sarcomere on cell proliferation. Cytokines and miRNAs can both be developed to become therapeutic molecules, in the form of recombinant proteins and synthetic nucleic acids, respectively. Therefore, a key aim of CuRE will be to establish procedures for their production and administration in vivo, and to assess their efficacy in both small and large animal models of myocardial damage. In addition to this translational goal, the project will entail the successful achievement of several intermediate objectives, each of which possesses intrinsic validity in terms of basic discovery and is thus expected to extend technology and knowledge in the cardiovascular field beyond state-of-the art.
Max ERC Funding
2 428 492 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym cureCD
Project Function of long non-coding RNA in Crohn Disease Ulcer Pathogenesis
Researcher (PI) Yael HABERMAN ZIV
Host Institution (HI) MEDICAL RESEARCH INFRASTRUCTURE DEVELOPMENT AND HEALTH SERVICES FUND BY THE SHEBA MEDICAL CENTER
Country Israel
Call Details Starting Grant (StG), LS4, ERC-2017-STG
Summary The Inflammatory Bowel Diseases (IBD), Crohn’s Disease (CD) and Ulcerative Colitis (UC) are chronic/relapsing disorders that affect over six million individuals worldwide. Mucosal ulcers, the hallmark of CD, are the result of a complex interaction between microbiota, immune cells, and gut epithelia. Healing of mucosal ulcers is associated with better outcomes, but is achieved in less than half of cases. Past attempts to suppress central and conserved nodes of the immune system failed due to opposing off-target deleterious effects on epithelial renewal. Therefore, there is a critical need to identify more tissue specific targets that lead to mucosal healing and to improved outcomes.
Using mRNAseq of intestinal biopsies, we identified a widespread dysregulation of long non-coding RNAs (lncRNA) in the ileum of treatment naïve pediatric CD patients. Importently, we identified significant correlations between lncRNA and mucosal ulcers. CD lncRNA, after carful mechanistic exploration, are highly promising targets for potential future intervention as they regulate diverse cellular functions and exhibit a more tissue specific expression in comparison to protein coding genes. The core goal of this proposal is to understand the role of CD lncRNA in ulcer pathogenesis focusing on granulocytes and epithelial functions in the contexts of their interactions with the microbiota.
I plan to utilize state of the art informatics, RNAseq and microbiome profiles together with advanced and novel experimental lab model and co-culture systems, patients-derived prospectively collected tissues, and gut microbiota to explore the role of CD lncRNA function in mediating healing of mucosal ulcers. This work carries the potential to guide new novel therapeutic strategies for mucosal healing with minimal off-targets effects. In a broader prospective, this work will expand our relative limited understanding regarding the role of lncRNA in mediating human diseases.
Summary
The Inflammatory Bowel Diseases (IBD), Crohn’s Disease (CD) and Ulcerative Colitis (UC) are chronic/relapsing disorders that affect over six million individuals worldwide. Mucosal ulcers, the hallmark of CD, are the result of a complex interaction between microbiota, immune cells, and gut epithelia. Healing of mucosal ulcers is associated with better outcomes, but is achieved in less than half of cases. Past attempts to suppress central and conserved nodes of the immune system failed due to opposing off-target deleterious effects on epithelial renewal. Therefore, there is a critical need to identify more tissue specific targets that lead to mucosal healing and to improved outcomes.
Using mRNAseq of intestinal biopsies, we identified a widespread dysregulation of long non-coding RNAs (lncRNA) in the ileum of treatment naïve pediatric CD patients. Importently, we identified significant correlations between lncRNA and mucosal ulcers. CD lncRNA, after carful mechanistic exploration, are highly promising targets for potential future intervention as they regulate diverse cellular functions and exhibit a more tissue specific expression in comparison to protein coding genes. The core goal of this proposal is to understand the role of CD lncRNA in ulcer pathogenesis focusing on granulocytes and epithelial functions in the contexts of their interactions with the microbiota.
I plan to utilize state of the art informatics, RNAseq and microbiome profiles together with advanced and novel experimental lab model and co-culture systems, patients-derived prospectively collected tissues, and gut microbiota to explore the role of CD lncRNA function in mediating healing of mucosal ulcers. This work carries the potential to guide new novel therapeutic strategies for mucosal healing with minimal off-targets effects. In a broader prospective, this work will expand our relative limited understanding regarding the role of lncRNA in mediating human diseases.
Max ERC Funding
1 500 000 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym Damocles
Project Modelling brain aneurysm to elucidate the role of platelets
Researcher (PI) Yacine BOULAFTALI
Host Institution (HI) INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE
Country France
Call Details Starting Grant (StG), LS4, ERC-2017-STG
Summary In the European Union, 15 million people have an unruptured intracranial aneurysm (IA) that may rupture one day and lead to subarachnoid haemorrhage (SAH). The IA rupture event is ominous and lingers as a clinical quandary. No safe and effective non-invasive therapies have, as of yet, been identified and implemented in clinical practice mainly because of a lack of knowledge of the underlying mechanisms. Increasing evidence points to inflammation as one of the leading factors in the pathogenesis of IA. Intrasaccular clot formation is a common feature of IA occurring unruptured and ruptured IA. In addition to forming clots, activated platelets support leukocyte recruitment. Interestingly, platelets also prevent local hemorrhage in inflammatory situations independently of their ability to form a platelet plug.
We hypothesize that the role of platelet may evolve throughout the development of IA: initially playing a protective role of in the maintenance of vascular integrity in response to inflammation and contributing later to intrasaccular thrombus formation. What are the platelet signaling pathways and responses involved and to what extent do they contribute to the disease and the rupture event?
To answer these questions, we designed an interdisciplinary proposal, which gathers biophysical, pharmacological, and in-vivo approaches, with the following objectives: I) To investigate platelet functions from patients diagnosed with intracranial aneurysm at the sites of aneurysm sac. II) To delineate platelet mechanisms and responses in a cutting-edge technology of a 3D reconstruction of IA that will take into account the hemodynamic shear stress. III) To test in a preclinical mouse model of IA efficient anti-platelet therapies and define a therapeutic window to intervene on platelet activation. The proposed project will yield new insights in IA disease and in life science, from cell biology to the discovery of potential new targets in cardiovascular medicine.
Summary
In the European Union, 15 million people have an unruptured intracranial aneurysm (IA) that may rupture one day and lead to subarachnoid haemorrhage (SAH). The IA rupture event is ominous and lingers as a clinical quandary. No safe and effective non-invasive therapies have, as of yet, been identified and implemented in clinical practice mainly because of a lack of knowledge of the underlying mechanisms. Increasing evidence points to inflammation as one of the leading factors in the pathogenesis of IA. Intrasaccular clot formation is a common feature of IA occurring unruptured and ruptured IA. In addition to forming clots, activated platelets support leukocyte recruitment. Interestingly, platelets also prevent local hemorrhage in inflammatory situations independently of their ability to form a platelet plug.
We hypothesize that the role of platelet may evolve throughout the development of IA: initially playing a protective role of in the maintenance of vascular integrity in response to inflammation and contributing later to intrasaccular thrombus formation. What are the platelet signaling pathways and responses involved and to what extent do they contribute to the disease and the rupture event?
To answer these questions, we designed an interdisciplinary proposal, which gathers biophysical, pharmacological, and in-vivo approaches, with the following objectives: I) To investigate platelet functions from patients diagnosed with intracranial aneurysm at the sites of aneurysm sac. II) To delineate platelet mechanisms and responses in a cutting-edge technology of a 3D reconstruction of IA that will take into account the hemodynamic shear stress. III) To test in a preclinical mouse model of IA efficient anti-platelet therapies and define a therapeutic window to intervene on platelet activation. The proposed project will yield new insights in IA disease and in life science, from cell biology to the discovery of potential new targets in cardiovascular medicine.
Max ERC Funding
1 498 618 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym DARE2APPROACH
Project Dare to Approach: A Neurocognitive Approach to Alleviating Persistent Avoidance in Anxiety Disorders
Researcher (PI) karin ROELOFS
Host Institution (HI) STICHTING KATHOLIEKE UNIVERSITEIT
Country Netherlands
Call Details Consolidator Grant (CoG), SH4, ERC-2017-COG
Summary How did three soldiers override their initial freezing response to overpower an armed terrorist in the Thalys-train to Paris in 2015? This question is relevant for anyone aiming to optimize approach-avoidance (AA) decisions during threat. It is particularly relevant for patients with anxiety disorders whose persistent avoidance is key to the maintenance of their anxiety.
Computational psychiatry has made great progress in formalizing how we make (mal)adaptive decisions. Current models, however, largely ignore the transient psychophysiological state of the decision maker. Parasympathetic state and flexibility in switching between para- and sympathetic states are directly related to freezing, and are known to bias AA-decisions toward avoidance. The central aim of this research program is to forge a mechanistic understanding of how we compute AA-decisions on the basis of those psychophysiological states, and to identify alterations in anxiety patients in order to guide new personalized neurocognitive interventions into their persistent avoidance.
I will develop a neurocomputational model of AA-decisions that accounts for transient psychophysiological states, in order to define which decision parameters are altered in active and passive avoidance in anxiety. I will test causal premises of the model using state-of-the-art techniques, including pharmacological and electrophysiological interventions. Based on these insights I will for the first time apply personalized brain stimulation to anxiety patients.
Clinically, this project should open the way to effective intervention with fearful avoidance in anxiety disorders that rank among the most common, costly and persistent mental disorders. Theoretically, conceptualizing transient psychophysiological states as causal factor in AA-decision models is essential to understanding passive and active avoidance. Optimizing AA-decisions also holds broad societal relevance given currently increased fearful avoidance of outgroups.
Summary
How did three soldiers override their initial freezing response to overpower an armed terrorist in the Thalys-train to Paris in 2015? This question is relevant for anyone aiming to optimize approach-avoidance (AA) decisions during threat. It is particularly relevant for patients with anxiety disorders whose persistent avoidance is key to the maintenance of their anxiety.
Computational psychiatry has made great progress in formalizing how we make (mal)adaptive decisions. Current models, however, largely ignore the transient psychophysiological state of the decision maker. Parasympathetic state and flexibility in switching between para- and sympathetic states are directly related to freezing, and are known to bias AA-decisions toward avoidance. The central aim of this research program is to forge a mechanistic understanding of how we compute AA-decisions on the basis of those psychophysiological states, and to identify alterations in anxiety patients in order to guide new personalized neurocognitive interventions into their persistent avoidance.
I will develop a neurocomputational model of AA-decisions that accounts for transient psychophysiological states, in order to define which decision parameters are altered in active and passive avoidance in anxiety. I will test causal premises of the model using state-of-the-art techniques, including pharmacological and electrophysiological interventions. Based on these insights I will for the first time apply personalized brain stimulation to anxiety patients.
Clinically, this project should open the way to effective intervention with fearful avoidance in anxiety disorders that rank among the most common, costly and persistent mental disorders. Theoretically, conceptualizing transient psychophysiological states as causal factor in AA-decision models is essential to understanding passive and active avoidance. Optimizing AA-decisions also holds broad societal relevance given currently increased fearful avoidance of outgroups.
Max ERC Funding
2 000 000 €
Duration
Start date: 2019-01-01, End date: 2024-06-30
Project acronym DARKSIDE
Project Harnessing the Dark Side of Protein Folding: Manipulating Aggregation for Recombinant Protein Production
Researcher (PI) Daniel Kaganovich
Host Institution (HI) UNIVERSITAETSMEDIZIN GOETTINGEN - GEORG-AUGUST-UNIVERSITAET GOETTINGEN - STIFTUNG OEFFENTLICHEN RECHTS
Country Germany
Call Details Starting Grant (StG), LS9, ERC-2013-StG
Summary Nearly all desirable biological activities, whether for the purposes of nutrition, pharmacology, biofuel production, or waste disposal, can be carried out by proteins. Nature has furnished a vast array of bioactive and biocatalytic tools, and with the advent of rational protein design nearly any imaginable bioactivity is at our fingertips. There is, therefore, a pressing need for cost-effective, safe, and easily scalable strategies for generating Recombinant Proteins (rProteins). The main bottleneck for mass-producing a whole host of valuable biologically active rProteins is the difficulty of recovering functional proteins from expression hosts.
This difficulty stems largely from the lack of sufficient know-how for manipulating protein biogenesis in the cell. The key component of protein biology, whether in the context of rProtein production or cell viability, is enabling a protein to achieve its proper folding state. Most proteins do not fold on their own – they require the assistance of a vast network of folding managers, or chaperones. The cellular chaperone machinery not only assists protein folding, it also carries out quality control, ensuring that proteins that are damaged or unable to fold for other reasons are properly disposed of through degradation or protective aggregation.
The aim of this proposal is to understand the protein biosynthetic pathway in sufficient detail, so as to be able to manipulate its overall function. My eventual goal is to exert control over folding and aggregation in order to produce higher yields of functional rProteins in eukaryotes. The biotechnological strategy will consist of: 1. Manipulating aggregation to remove damaged endogenous proteins from the folding proteome, thus diverting more resources to the folding of rProteins; 2. Manipulating the allocation of cellular chaperone resources between folding, degradation, and aggregation; 3. Utilizing aggregates to produce substantially higher amounts of functional rProteins.
Summary
Nearly all desirable biological activities, whether for the purposes of nutrition, pharmacology, biofuel production, or waste disposal, can be carried out by proteins. Nature has furnished a vast array of bioactive and biocatalytic tools, and with the advent of rational protein design nearly any imaginable bioactivity is at our fingertips. There is, therefore, a pressing need for cost-effective, safe, and easily scalable strategies for generating Recombinant Proteins (rProteins). The main bottleneck for mass-producing a whole host of valuable biologically active rProteins is the difficulty of recovering functional proteins from expression hosts.
This difficulty stems largely from the lack of sufficient know-how for manipulating protein biogenesis in the cell. The key component of protein biology, whether in the context of rProtein production or cell viability, is enabling a protein to achieve its proper folding state. Most proteins do not fold on their own – they require the assistance of a vast network of folding managers, or chaperones. The cellular chaperone machinery not only assists protein folding, it also carries out quality control, ensuring that proteins that are damaged or unable to fold for other reasons are properly disposed of through degradation or protective aggregation.
The aim of this proposal is to understand the protein biosynthetic pathway in sufficient detail, so as to be able to manipulate its overall function. My eventual goal is to exert control over folding and aggregation in order to produce higher yields of functional rProteins in eukaryotes. The biotechnological strategy will consist of: 1. Manipulating aggregation to remove damaged endogenous proteins from the folding proteome, thus diverting more resources to the folding of rProteins; 2. Manipulating the allocation of cellular chaperone resources between folding, degradation, and aggregation; 3. Utilizing aggregates to produce substantially higher amounts of functional rProteins.
Max ERC Funding
1 639 400 €
Duration
Start date: 2013-11-01, End date: 2019-10-31
Project acronym DATA SCIENCE
Project The Epistemology of Data-Intensive Science
Researcher (PI) Sabina Leonelli
Host Institution (HI) THE UNIVERSITY OF EXETER
Country United Kingdom
Call Details Starting Grant (StG), SH4, ERC-2013-StG
Summary "This project aims to develop a new ‘philosophy of data-intensive science’ that clarifies how research practices are changing in the digital age, and examines how this affects current understandings of scientific epistemology within the philosophy of science and beyond.
The scale of scientific data production has massively increased in recent times, raising urgent questions about how scientists are to transform the resulting masses of data into useful knowledge. A technical solution to this problem is offered by technologies for the storage, dissemination and handling of data over the internet, including online databases that enable scientists to retrieve and analyse vast amounts of data of potential relevance to their research. These technologies are having a profound effect on what counts as scientific knowledge and on how that knowledge is obtained and used. This is a step change in scientific methods, which scientists refer to as ‘data-intensive’ research.
Surprisingly, the characteristics and philosophical implications of this emerging way of doing science have not yet been extensively and systematically analysed. This project aims to fill this gap by combining the analytic apparatus developed by philosophers of science with empirical, qualitative methods used by social scientists to investigate cutting-edge scientific practices. Accordingly, Phase 1 of the project will investigate how the use of online databases is currently affecting research practices and outcomes in two areas: plant science and biomedicine. Phase 2 will then build on these empirical results to analyse how data-intensive methods challenge existing philosophical understandings of the epistemic role of data, theory, experiments and division of labour in science. Through the analysis of how these four key components, the PI will produce a systematic assessment of the implications of the rise of data-intensive research for how science is organised, conducted and assessed."
Summary
"This project aims to develop a new ‘philosophy of data-intensive science’ that clarifies how research practices are changing in the digital age, and examines how this affects current understandings of scientific epistemology within the philosophy of science and beyond.
The scale of scientific data production has massively increased in recent times, raising urgent questions about how scientists are to transform the resulting masses of data into useful knowledge. A technical solution to this problem is offered by technologies for the storage, dissemination and handling of data over the internet, including online databases that enable scientists to retrieve and analyse vast amounts of data of potential relevance to their research. These technologies are having a profound effect on what counts as scientific knowledge and on how that knowledge is obtained and used. This is a step change in scientific methods, which scientists refer to as ‘data-intensive’ research.
Surprisingly, the characteristics and philosophical implications of this emerging way of doing science have not yet been extensively and systematically analysed. This project aims to fill this gap by combining the analytic apparatus developed by philosophers of science with empirical, qualitative methods used by social scientists to investigate cutting-edge scientific practices. Accordingly, Phase 1 of the project will investigate how the use of online databases is currently affecting research practices and outcomes in two areas: plant science and biomedicine. Phase 2 will then build on these empirical results to analyse how data-intensive methods challenge existing philosophical understandings of the epistemic role of data, theory, experiments and division of labour in science. Through the analysis of how these four key components, the PI will produce a systematic assessment of the implications of the rise of data-intensive research for how science is organised, conducted and assessed."
Max ERC Funding
1 046 000 €
Duration
Start date: 2014-03-01, End date: 2019-02-28