Project acronym ACCOPT
Project ACelerated COnvex OPTimization
Researcher (PI) Yurii NESTEROV
Host Institution (HI) UNIVERSITE CATHOLIQUE DE LOUVAIN
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 ADAPTEM
Project Adaptive transmission electron microscopy: development of a programmable phase plate
Researcher (PI) Johan VERBEECK
Host Institution (HI) UNIVERSITEIT ANTWERPEN
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary Adaptive optics, the technology to dynamically program the phase of optical waves has sparked an avalanche of scientific discoveries and innovations in light optics applications. Nowadays, the phase of optical waves can be dynamically programmed providing research on exotic optical beams and unprecedented control over the performance of optical instruments. Although electron waves carry many similarities in comparison to their optical counterparts, a generic programmable phase plate for electrons is still missing. This project aims at developing a prototype of a programmable electrostatic phase plate that allows the user to freely change the phase of electron waves and demonstrate it to potential licensees for further upscaling and introduction to the market. The target of this POC project is the realization of a tunable easy-to-use 5x5-pixel prototype that will demonstrate the potential of adaptive optics in electron microscopy. Its realization will be based on lithographic technology to allow for future upscaling. It is expected that such a phase plate can dramatically increase the information obtained at a given electron dose, limiting the detrimental effects of beam damage that currently hinders the use of electron microscopy in e.g. life sciences. As such, it has the potential to disrupt the electron microscopy market with novel applications while at the same time reducing cost and complexity and increasing the potential for fully automated instruments.
Summary
Adaptive optics, the technology to dynamically program the phase of optical waves has sparked an avalanche of scientific discoveries and innovations in light optics applications. Nowadays, the phase of optical waves can be dynamically programmed providing research on exotic optical beams and unprecedented control over the performance of optical instruments. Although electron waves carry many similarities in comparison to their optical counterparts, a generic programmable phase plate for electrons is still missing. This project aims at developing a prototype of a programmable electrostatic phase plate that allows the user to freely change the phase of electron waves and demonstrate it to potential licensees for further upscaling and introduction to the market. The target of this POC project is the realization of a tunable easy-to-use 5x5-pixel prototype that will demonstrate the potential of adaptive optics in electron microscopy. Its realization will be based on lithographic technology to allow for future upscaling. It is expected that such a phase plate can dramatically increase the information obtained at a given electron dose, limiting the detrimental effects of beam damage that currently hinders the use of electron microscopy in e.g. life sciences. As such, it has the potential to disrupt the electron microscopy market with novel applications while at the same time reducing cost and complexity and increasing the potential for fully automated instruments.
Max ERC Funding
148 500 €
Duration
Start date: 2018-03-01, End date: 2019-08-31
Project acronym ADMIRE
Project A holographic microscope for the immersive exploration of augmented micro-reality
Researcher (PI) Roberto DI LEONARDO
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary Virtual reality, augmented reality and mixed reality are beginning to transform the way we explore and acquire information from the macroscopic world around us. At the same time, recent advances in holographic microscopy are providing new tools for the 3D imaging of physical and biological phenomena occurring at the micron scale. Project ADMIRE will combine this two emerging technologies into the first prototype of an AugmenteD MIcro-REality system for the immersive exploration and the quantitative analysis of three-dimensional processes at the micron scale.
The core of the proposed system will be the three-axis holographic microscope (3DHM) developed within the ERC Project SMART to investigate fast 3D dynamics of swimming bacteria.
ADMIRE project will transform 3DHM from a laboratory technique, targeted to a specific application and operated by highly specialised researchers into a general purpose instrument composed of a compact add-on module for commercial optical microscopes and a virtual reality interface allowing for a direct and intuitive use. Through the ADMIRE Holographic Microscope (ADMIRE-HM) the user will be “shrunk” a million times and virtually sent into a live 3D reconstruction of the real microscopic world contained in the glass slide. There he will find himself surrounded by micro-particles or moving cells that could be inspected from multiple directions and characterized by shape parameters (e.g. size, volume, aspect-ratio) or dynamical features (e.g. flagellar motility, sedimentation velocity, transport in a flow) obtained by means of simple and direct gestures.
The expected outcome of the project is to bring to a development stage TRL 6-7 a technology that could change the way we experience the microscopic world in basic research, biomedical applications and education.
Summary
Virtual reality, augmented reality and mixed reality are beginning to transform the way we explore and acquire information from the macroscopic world around us. At the same time, recent advances in holographic microscopy are providing new tools for the 3D imaging of physical and biological phenomena occurring at the micron scale. Project ADMIRE will combine this two emerging technologies into the first prototype of an AugmenteD MIcro-REality system for the immersive exploration and the quantitative analysis of three-dimensional processes at the micron scale.
The core of the proposed system will be the three-axis holographic microscope (3DHM) developed within the ERC Project SMART to investigate fast 3D dynamics of swimming bacteria.
ADMIRE project will transform 3DHM from a laboratory technique, targeted to a specific application and operated by highly specialised researchers into a general purpose instrument composed of a compact add-on module for commercial optical microscopes and a virtual reality interface allowing for a direct and intuitive use. Through the ADMIRE Holographic Microscope (ADMIRE-HM) the user will be “shrunk” a million times and virtually sent into a live 3D reconstruction of the real microscopic world contained in the glass slide. There he will find himself surrounded by micro-particles or moving cells that could be inspected from multiple directions and characterized by shape parameters (e.g. size, volume, aspect-ratio) or dynamical features (e.g. flagellar motility, sedimentation velocity, transport in a flow) obtained by means of simple and direct gestures.
The expected outcome of the project is to bring to a development stage TRL 6-7 a technology that could change the way we experience the microscopic world in basic research, biomedical applications and education.
Max ERC Funding
150 000 €
Duration
Start date: 2017-11-01, End date: 2019-04-30
Project acronym AfricanWomen
Project Women in Africa
Researcher (PI) catherine GUIRKINGER
Host Institution (HI) UNIVERSITE DE NAMUR ASBL
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 AGEnTh
Project Atomic Gauge and Entanglement Theories
Researcher (PI) Marcello DALMONTE
Host Institution (HI) SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE
Call Details Starting Grant (StG), PE2, ERC-2017-STG
Summary AGEnTh is an interdisciplinary proposal which aims at theoretically investigating atomic many-body systems (cold atoms and trapped ions) in close connection to concepts from quantum information, condensed matter, and high energy physics. The main goals of this programme are to:
I) Find to scalable schemes for the measurements of entanglement properties, and in particular entanglement spectra, by proposing a shifting paradigm to access entanglement focused on entanglement Hamiltonians and field theories instead of probing density matrices;
II) Show how atomic gauge theories (including dynamical gauge fields) are ideal candidates for the realization of long-sought, highly-entangled states of matter, in particular topological superconductors supporting parafermion edge modes, and novel classes of quantum spin liquids emerging from clustering;
III) Develop new implementation strategies for the realization of gauge symmetries of paramount importance, such as discrete and SU(N)xSU(2)xU(1) groups, and establish a theoretical framework for the understanding of atomic physics experiments within the light-from-chaos scenario pioneered in particle physics.
These objectives are at the cutting-edge of fundamental science, and represent a coherent effort aimed at underpinning unprecedented regimes of strongly interacting quantum matter by addressing the basic aspects of probing, many-body physics, and implementations. The results are expected to (i) build up and establish qualitatively new synergies between the aforementioned communities, and (ii) stimulate an intense theoretical and experimental activity focused on both entanglement and atomic gauge theories.
In order to achieve those, AGEnTh builds: (1) on my background working at the interface between atomic physics and quantum optics from one side, and many-body theory on the other, and (2) on exploratory studies which I carried out to mitigate the conceptual risks associated with its high-risk/high-gain goals.
Summary
AGEnTh is an interdisciplinary proposal which aims at theoretically investigating atomic many-body systems (cold atoms and trapped ions) in close connection to concepts from quantum information, condensed matter, and high energy physics. The main goals of this programme are to:
I) Find to scalable schemes for the measurements of entanglement properties, and in particular entanglement spectra, by proposing a shifting paradigm to access entanglement focused on entanglement Hamiltonians and field theories instead of probing density matrices;
II) Show how atomic gauge theories (including dynamical gauge fields) are ideal candidates for the realization of long-sought, highly-entangled states of matter, in particular topological superconductors supporting parafermion edge modes, and novel classes of quantum spin liquids emerging from clustering;
III) Develop new implementation strategies for the realization of gauge symmetries of paramount importance, such as discrete and SU(N)xSU(2)xU(1) groups, and establish a theoretical framework for the understanding of atomic physics experiments within the light-from-chaos scenario pioneered in particle physics.
These objectives are at the cutting-edge of fundamental science, and represent a coherent effort aimed at underpinning unprecedented regimes of strongly interacting quantum matter by addressing the basic aspects of probing, many-body physics, and implementations. The results are expected to (i) build up and establish qualitatively new synergies between the aforementioned communities, and (ii) stimulate an intense theoretical and experimental activity focused on both entanglement and atomic gauge theories.
In order to achieve those, AGEnTh builds: (1) on my background working at the interface between atomic physics and quantum optics from one side, and many-body theory on the other, and (2) on exploratory studies which I carried out to mitigate the conceptual risks associated with its high-risk/high-gain goals.
Max ERC Funding
1 055 317 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym AI-CU
Project Automated Improvement of Continuous User interfaces
Researcher (PI) BART GERBEN DE BOER
Host Institution (HI) VRIJE UNIVERSITEIT BRUSSEL
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary We propose to develop two tools for creating, in a systematic way, better user interfaces based on continuous, non-symbolic actions, such as swipes on a touch screen, 3-D motions with a hand-held device, or breath patterns in a user interface for otherwise paralyzed patients. The tools are based on two experimental/computational techniques developed in the ABACUS project: iterated learning and social coordination.
In iterated learning, sets of signals produced by one user are learned and reproduced by another user. The reproductions are then in turn learned by the next user. In the ABACUS project, it has been shown that this results in more learnable sets of signals. We propose to show how this can be applied to creating learnable and usable signals in a systematic way when design a user interface for a device that allows continuous actions.
In social coordination, it has been shown that signals become simplified and more abstract when people communicate over an extended period of time. The ABACUS project has developed techniques to detect and quantify this. We propose to show how these can be used for a user interface that adapts to its user. This will allow novice users to use more extended and therefore more learnable versions of actions, while the system adapts when users become more adept at using the interface and reduce their actions. Because the system is adaptive, the user is not constrained in how they do this.
Concretely, we propose to implement these two tools, investigate how they can be used optimally and advertise them to
interested companies, starting with ones with which we have contact, but extending our network at the start of the project through a business case development. In order to disseminate the results we propose to involve a user committee and organize one or more workshops.
Summary
We propose to develop two tools for creating, in a systematic way, better user interfaces based on continuous, non-symbolic actions, such as swipes on a touch screen, 3-D motions with a hand-held device, or breath patterns in a user interface for otherwise paralyzed patients. The tools are based on two experimental/computational techniques developed in the ABACUS project: iterated learning and social coordination.
In iterated learning, sets of signals produced by one user are learned and reproduced by another user. The reproductions are then in turn learned by the next user. In the ABACUS project, it has been shown that this results in more learnable sets of signals. We propose to show how this can be applied to creating learnable and usable signals in a systematic way when design a user interface for a device that allows continuous actions.
In social coordination, it has been shown that signals become simplified and more abstract when people communicate over an extended period of time. The ABACUS project has developed techniques to detect and quantify this. We propose to show how these can be used for a user interface that adapts to its user. This will allow novice users to use more extended and therefore more learnable versions of actions, while the system adapts when users become more adept at using the interface and reduce their actions. Because the system is adaptive, the user is not constrained in how they do this.
Concretely, we propose to implement these two tools, investigate how they can be used optimally and advertise them to
interested companies, starting with ones with which we have contact, but extending our network at the start of the project through a business case development. In order to disseminate the results we propose to involve a user committee and organize one or more workshops.
Max ERC Funding
150 000 €
Duration
Start date: 2018-06-01, End date: 2019-11-30
Project acronym ALGOCom
Project Novel Algorithmic Techniques through the Lens of Combinatorics
Researcher (PI) Parinya Chalermsook
Host Institution (HI) AALTO KORKEAKOULUSAATIO SR
Call Details Starting Grant (StG), PE6, ERC-2017-STG
Summary Real-world optimization problems pose major challenges to algorithmic research. For instance, (i) many important problems are believed to be intractable (i.e. NP-hard) and (ii) with the growth of data size, modern applications often require a decision making under {\em incomplete and dynamically changing input data}. After several decades of research, central problems in these domains have remained poorly understood (e.g. Is there an asymptotically most efficient binary search trees?) Existing algorithmic techniques either reach their limitation or are inherently tailored to special cases.
This project attempts to untangle this gap in the state of the art and seeks new interplay across multiple areas of algorithms, such as approximation algorithms, online algorithms, fixed-parameter tractable (FPT) algorithms, exponential time algorithms, and data structures. We propose new directions from the {\em structural perspectives} that connect the aforementioned algorithmic problems to basic questions in combinatorics.
Our approaches fall into one of the three broad schemes: (i) new structural theory, (ii) intermediate problems, and (iii) transfer of techniques. These directions partially build on the PI's successes in resolving more than ten classical problems in this context.
Resolving the proposed problems will likely revolutionize our understanding about algorithms and data structures and potentially unify techniques in multiple algorithmic regimes. Any progress is, in fact, already a significant contribution to the algorithms community. We suggest concrete intermediate goals that are of independent interest and have lower risks, so they are suitable for Ph.D students.
Summary
Real-world optimization problems pose major challenges to algorithmic research. For instance, (i) many important problems are believed to be intractable (i.e. NP-hard) and (ii) with the growth of data size, modern applications often require a decision making under {\em incomplete and dynamically changing input data}. After several decades of research, central problems in these domains have remained poorly understood (e.g. Is there an asymptotically most efficient binary search trees?) Existing algorithmic techniques either reach their limitation or are inherently tailored to special cases.
This project attempts to untangle this gap in the state of the art and seeks new interplay across multiple areas of algorithms, such as approximation algorithms, online algorithms, fixed-parameter tractable (FPT) algorithms, exponential time algorithms, and data structures. We propose new directions from the {\em structural perspectives} that connect the aforementioned algorithmic problems to basic questions in combinatorics.
Our approaches fall into one of the three broad schemes: (i) new structural theory, (ii) intermediate problems, and (iii) transfer of techniques. These directions partially build on the PI's successes in resolving more than ten classical problems in this context.
Resolving the proposed problems will likely revolutionize our understanding about algorithms and data structures and potentially unify techniques in multiple algorithmic regimes. Any progress is, in fact, already a significant contribution to the algorithms community. We suggest concrete intermediate goals that are of independent interest and have lower risks, so they are suitable for Ph.D students.
Max ERC Funding
1 411 258 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym AMDROMA
Project Algorithmic and Mechanism Design Research in Online MArkets
Researcher (PI) Stefano LEONARDI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Call Details Advanced Grant (AdG), PE6, ERC-2017-ADG
Summary Online markets currently form an important share of the global economy. The Internet hosts classical markets (real-estate, stocks, e-commerce) as well allowing new markets with previously unknown features (web-based advertisement, viral marketing, digital goods, crowdsourcing, sharing economy). Algorithms play a central role in many decision processes involved in online markets. For example, algorithms run electronic auctions, trade stocks, adjusts prices dynamically, and harvest big data to provide economic information. Thus, it is of paramount importance to understand the algorithmic and mechanism design foundations of online markets.
The algorithmic research issues that we consider involve algorithmic mechanism design, online and approximation algorithms, modelling uncertainty in online market design, and large-scale data analysisonline and approximation algorithms, large-scale optimization and data mining. The aim of this research project is to combine these fields to consider research questions that are central for today's Internet economy. We plan to apply these techniques so as to solve fundamental algorithmic problems motivated by web-basedInternet advertisement, Internet market designsharing economy, and crowdsourcingonline labour marketplaces. While my planned research is focussedcentered on foundational work with rigorous design and analysis of in algorithms and mechanismsic design and analysis, it will also include as an important component empirical validation on large-scale real-life datasets.
Summary
Online markets currently form an important share of the global economy. The Internet hosts classical markets (real-estate, stocks, e-commerce) as well allowing new markets with previously unknown features (web-based advertisement, viral marketing, digital goods, crowdsourcing, sharing economy). Algorithms play a central role in many decision processes involved in online markets. For example, algorithms run electronic auctions, trade stocks, adjusts prices dynamically, and harvest big data to provide economic information. Thus, it is of paramount importance to understand the algorithmic and mechanism design foundations of online markets.
The algorithmic research issues that we consider involve algorithmic mechanism design, online and approximation algorithms, modelling uncertainty in online market design, and large-scale data analysisonline and approximation algorithms, large-scale optimization and data mining. The aim of this research project is to combine these fields to consider research questions that are central for today's Internet economy. We plan to apply these techniques so as to solve fundamental algorithmic problems motivated by web-basedInternet advertisement, Internet market designsharing economy, and crowdsourcingonline labour marketplaces. While my planned research is focussedcentered on foundational work with rigorous design and analysis of in algorithms and mechanismsic design and analysis, it will also include as an important component empirical validation on large-scale real-life datasets.
Max ERC Funding
1 780 150 €
Duration
Start date: 2018-07-01, End date: 2023-06-30
Project acronym ANTILEAK
Project Development of antagonists of vascular leakage
Researcher (PI) Pipsa SAHARINEN
Host Institution (HI) HELSINGIN YLIOPISTO
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 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
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 ASTHMACRYSTALCLEAR
Project Role of protein crystallization in type 2 immunity and asthma
Researcher (PI) Bart LAMBRECHT
Host Institution (HI) VIB
Call Details Advanced Grant (AdG), LS6, ERC-2017-ADG
Summary Spontaneous protein crystallization is a rare event in biology. Eosinophilic inflammation such as seen in the airways in asthma, chronic rhinosinusitis and helminth infection is however accompanied by accumulation of large amounts of extracellular Charcot-Leyden crystals. These are made of Galectin-10, a protein of unknown function produced by eosinophils, hallmark cells of type 2 immunity. In mice, eosinophilic inflammation is also accompanied by protein crystal build up, composed of the chitinase-like proteins Ym1 and Ym2, produced by alternatively activated macrophages. Here we challenge the current view that these crystals are just markers of eosinophil demise or macrophages activation. We hypothesize that protein crystallization serves an active role in immunoregulation of type 2 immunity. On the one hand, crystallization might turn a harmless protein into a danger signal. On the other hand, crystallization might sequester and eliminate the physiological function of soluble Galectin-10 and Ym1, or prolong it via slow release elution. For full understanding, we therefore need to understand the function of the proteins in a soluble and crystalline state. Our program at the frontline of immunology, molecular structural biology and clinical science combines innovative tool creation and integrative research to investigate the structure, function, and physiology of galectin-10 and related protein crystals. We chose to study asthma as the crystallizing proteins are abundantly present in human and murine disease. There is still a large medical need for novel therapies that could benefit patients with chronic steroid-resistant disease, and are alternatives to eosinophil-depleting antibodies whose long term effects are unknown.
Summary
Spontaneous protein crystallization is a rare event in biology. Eosinophilic inflammation such as seen in the airways in asthma, chronic rhinosinusitis and helminth infection is however accompanied by accumulation of large amounts of extracellular Charcot-Leyden crystals. These are made of Galectin-10, a protein of unknown function produced by eosinophils, hallmark cells of type 2 immunity. In mice, eosinophilic inflammation is also accompanied by protein crystal build up, composed of the chitinase-like proteins Ym1 and Ym2, produced by alternatively activated macrophages. Here we challenge the current view that these crystals are just markers of eosinophil demise or macrophages activation. We hypothesize that protein crystallization serves an active role in immunoregulation of type 2 immunity. On the one hand, crystallization might turn a harmless protein into a danger signal. On the other hand, crystallization might sequester and eliminate the physiological function of soluble Galectin-10 and Ym1, or prolong it via slow release elution. For full understanding, we therefore need to understand the function of the proteins in a soluble and crystalline state. Our program at the frontline of immunology, molecular structural biology and clinical science combines innovative tool creation and integrative research to investigate the structure, function, and physiology of galectin-10 and related protein crystals. We chose to study asthma as the crystallizing proteins are abundantly present in human and murine disease. There is still a large medical need for novel therapies that could benefit patients with chronic steroid-resistant disease, and are alternatives to eosinophil-depleting antibodies whose long term effects are unknown.
Max ERC Funding
2 499 846 €
Duration
Start date: 2018-08-01, End date: 2023-07-31
Project acronym AUTISMS
Project Decomposing Heterogeneity in Autism Spectrum Disorders
Researcher (PI) Michael LOMBARDO
Host Institution (HI) FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA
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 BACKUP
Project Unveiling the relationship between brain connectivity and function by integrated photonics
Researcher (PI) Lorenzo PAVESI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI TRENTO
Call Details Advanced Grant (AdG), PE7, ERC-2017-ADG
Summary I will address the fundamental question of which is the role of neuron activity and plasticity in information elaboration and storage in the brain. I, together with an interdisciplinary team, will develop a hybrid neuro-morphic computing platform. Integrated photonic circuits will be interfaced to both electronic circuits and neuronal circuits (in vitro experiments) to emulate brain functions and develop schemes able to supplement (backup) neuronal functions. The photonic network is based on massive reconfigurable matrices of nonlinear nodes formed by microring resonators, which enter in regime of self-pulsing and chaos by positive optical feedback. These networks resemble human brain. I will push this analogy further by interfacing the photonic network with neurons making hybrid network. By using optogenetics, I will control the synaptic strengthen-ing and the neuron activity. Deep learning algorithms will model the biological network functionality, initial-ly within a separate artificial network and, then, in an integrated hybrid artificial-biological network.
My project aims at:
1. Developing a photonic integrated reservoir-computing network (RCN);
2. Developing dynamic memories in photonic integrated circuits using RCN;
3. Developing hybrid interfaces between a neuronal network and a photonic integrated circuit;
4. Developing a hybrid electronic, photonic and biological network that computes jointly;
5. Addressing neuronal network activity by photonic RCN to simulate in vitro memory storage and retrieval;
6. Elaborating the signal from RCN and neuronal circuits in order to cope with plastic changes in pathologi-cal brain conditions such as amnesia and epilepsy.
The long-term vision is that hybrid neuromorphic photonic networks will (a) clarify the way brain thinks, (b) compute beyond von Neumann, and (c) control and supplement specific neuronal functions.
Summary
I will address the fundamental question of which is the role of neuron activity and plasticity in information elaboration and storage in the brain. I, together with an interdisciplinary team, will develop a hybrid neuro-morphic computing platform. Integrated photonic circuits will be interfaced to both electronic circuits and neuronal circuits (in vitro experiments) to emulate brain functions and develop schemes able to supplement (backup) neuronal functions. The photonic network is based on massive reconfigurable matrices of nonlinear nodes formed by microring resonators, which enter in regime of self-pulsing and chaos by positive optical feedback. These networks resemble human brain. I will push this analogy further by interfacing the photonic network with neurons making hybrid network. By using optogenetics, I will control the synaptic strengthen-ing and the neuron activity. Deep learning algorithms will model the biological network functionality, initial-ly within a separate artificial network and, then, in an integrated hybrid artificial-biological network.
My project aims at:
1. Developing a photonic integrated reservoir-computing network (RCN);
2. Developing dynamic memories in photonic integrated circuits using RCN;
3. Developing hybrid interfaces between a neuronal network and a photonic integrated circuit;
4. Developing a hybrid electronic, photonic and biological network that computes jointly;
5. Addressing neuronal network activity by photonic RCN to simulate in vitro memory storage and retrieval;
6. Elaborating the signal from RCN and neuronal circuits in order to cope with plastic changes in pathologi-cal brain conditions such as amnesia and epilepsy.
The long-term vision is that hybrid neuromorphic photonic networks will (a) clarify the way brain thinks, (b) compute beyond von Neumann, and (c) control and supplement specific neuronal functions.
Max ERC Funding
2 499 825 €
Duration
Start date: 2018-11-01, End date: 2023-10-31
Project acronym BioELCell
Project Bioproducts Engineered from Lignocelluloses: from plants and upcycling to next generation materials
Researcher (PI) Orlando Rojas Gaona
Host Institution (HI) AALTO KORKEAKOULUSAATIO SR
Call Details Advanced Grant (AdG), PE8, ERC-2017-ADG
Summary BioELCell will deliver ground-breaking approaches to create next material generation based on renewable resources, mainly cellulose and lignin micro- and nano-particles (MNC, MNL). Our action will disassemble and re-engineer these plant-based polymers into functional materials that will respond to the demands of the bioeconomy of the future, critically important to Europe and the world. My ambitious, high gain research plan is underpinned in the use of multiphase systems with ultra-low interfacial tension to facilitate nanocellulose liberation and atomization of lignin solution streams into spherical particles.
BioELCell will design novel routes to control MNC and MNL reassembly in new 1-D, 2-D and 3-D structures. The systematic methodologies that I propose will address the main challenges for lignocellulose processing and deployment, considering the important effects of interactions with water. This BioELCell action presents a transformative approach by integrating complementary disciplines that will lead to a far-reaching understanding of lignocellulosic biopolymers and solve key challenges in their use, paving the way to functional product development. Results of this project permeates directly or indirectly in the grand challenges for engineering, namely, water use, carbon sequestration, nitrogen cycle, food and advanced materials. Indeed, after addressing the key fundamental elements of the research lines, BioELCell vindicates such effects based on rational use of plant-based materials as a sustainable resource, making possible the generation of new functions and advanced materials.
BioELCell goes far beyond what is known today about cellulose and lignin micro and nano-particles, some of the most promising materials of our century, which are emerging as key elements for the success of a sustainable society.
Summary
BioELCell will deliver ground-breaking approaches to create next material generation based on renewable resources, mainly cellulose and lignin micro- and nano-particles (MNC, MNL). Our action will disassemble and re-engineer these plant-based polymers into functional materials that will respond to the demands of the bioeconomy of the future, critically important to Europe and the world. My ambitious, high gain research plan is underpinned in the use of multiphase systems with ultra-low interfacial tension to facilitate nanocellulose liberation and atomization of lignin solution streams into spherical particles.
BioELCell will design novel routes to control MNC and MNL reassembly in new 1-D, 2-D and 3-D structures. The systematic methodologies that I propose will address the main challenges for lignocellulose processing and deployment, considering the important effects of interactions with water. This BioELCell action presents a transformative approach by integrating complementary disciplines that will lead to a far-reaching understanding of lignocellulosic biopolymers and solve key challenges in their use, paving the way to functional product development. Results of this project permeates directly or indirectly in the grand challenges for engineering, namely, water use, carbon sequestration, nitrogen cycle, food and advanced materials. Indeed, after addressing the key fundamental elements of the research lines, BioELCell vindicates such effects based on rational use of plant-based materials as a sustainable resource, making possible the generation of new functions and advanced materials.
BioELCell goes far beyond what is known today about cellulose and lignin micro and nano-particles, some of the most promising materials of our century, which are emerging as key elements for the success of a sustainable society.
Max ERC Funding
2 486 182 €
Duration
Start date: 2018-08-01, End date: 2023-07-31
Project acronym BIORECAR
Project Direct cell reprogramming therapy in myocardial regeneration through an engineered multifunctional platform integrating biochemical instructive cues
Researcher (PI) Valeria CHIONO
Host Institution (HI) POLITECNICO DI TORINO
Call Details Consolidator Grant (CoG), PE8, ERC-2017-COG
Summary In BIORECAR I will develop a new breakthrough multifunctional biomaterial-based platform for myocardial regeneration after myocardial infarction, provided with biochemical cues able to enhance the direct reprogramming of human cardiac fibroblasts into functional cardiomyocytes.
My expertise in bioartificial materials and biomimetic scaffolds and the versatile chemistry of polyurethanes will be the key elements to achieve a significant knowledge and technological advancement in cell reprogramming therapy, opening the way to the future translation of the therapy into the clinics.
I will implement this advanced approach through the design of a novel 3D in vitro tissue-engineered model of human cardiac fibrotic tissue, as a tool for testing and validation, to maximise research efforts and reduce animal tests.
I will adapt novel nanomedicine approaches I have recently developed for drug release to design innovative cell-friendly and efficient polyurethane nanoparticles for targeted reprogramming of cardiac fibroblasts.
I will design an injectable bioartificial hydrogel based on a blend of a thermosensitive polyurethane and a natural component selected among a novel cell-secreted natural polymer mixture (“biomatrix”) recapitulating the complexity of cardiac extracellular matrix or one of its main protein constituents. Such multifunctional hydrogel will deliver in situ agents stimulating recruitment of cardiac fibroblasts together with the nanoparticles loaded with reprogramming therapeutics, and will provide biochemical signalling to stimulate efficient conversion of fibroblasts into mature cardiomyocytes.
First-in-field biomaterials-based innovations introduced by BIORECAR will enable more effective regeneration of functional myocardial tissue respect to state-of-the art approaches. BIORECAR innovation is multidisciplinary in nature and will be accelerated towards future clinical translation through my clinical, scientific and industrial collaborations.
Summary
In BIORECAR I will develop a new breakthrough multifunctional biomaterial-based platform for myocardial regeneration after myocardial infarction, provided with biochemical cues able to enhance the direct reprogramming of human cardiac fibroblasts into functional cardiomyocytes.
My expertise in bioartificial materials and biomimetic scaffolds and the versatile chemistry of polyurethanes will be the key elements to achieve a significant knowledge and technological advancement in cell reprogramming therapy, opening the way to the future translation of the therapy into the clinics.
I will implement this advanced approach through the design of a novel 3D in vitro tissue-engineered model of human cardiac fibrotic tissue, as a tool for testing and validation, to maximise research efforts and reduce animal tests.
I will adapt novel nanomedicine approaches I have recently developed for drug release to design innovative cell-friendly and efficient polyurethane nanoparticles for targeted reprogramming of cardiac fibroblasts.
I will design an injectable bioartificial hydrogel based on a blend of a thermosensitive polyurethane and a natural component selected among a novel cell-secreted natural polymer mixture (“biomatrix”) recapitulating the complexity of cardiac extracellular matrix or one of its main protein constituents. Such multifunctional hydrogel will deliver in situ agents stimulating recruitment of cardiac fibroblasts together with the nanoparticles loaded with reprogramming therapeutics, and will provide biochemical signalling to stimulate efficient conversion of fibroblasts into mature cardiomyocytes.
First-in-field biomaterials-based innovations introduced by BIORECAR will enable more effective regeneration of functional myocardial tissue respect to state-of-the art approaches. BIORECAR innovation is multidisciplinary in nature and will be accelerated towards future clinical translation through my clinical, scientific and industrial collaborations.
Max ERC Funding
2 000 000 €
Duration
Start date: 2018-07-01, End date: 2023-06-30
Project acronym CALCULUS
Project Commonsense and Anticipation enriched Learning of Continuous representations sUpporting Language UnderStanding
Researcher (PI) Marie-Francine MOENS
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Advanced Grant (AdG), PE6, ERC-2017-ADG
Summary Natural language understanding (NLU) by the machine is of large scientific, economic and social value. Humans perform the NLU task in an efficient way by relying on their capability to imagine or anticipate situations. They engage commonsense and world knowledge that is often acquired through perceptual experiences to make explicit what is left implicit in language. Inspired by these characteristics CALCULUS will design, implement and evaluate innovative paradigms supporting NLU, where it will combine old but powerful ideas for language understanding from the early days of artificial intelligence with new approaches from machine learning. The project focuses on the effective learning of anticipatory, continuous, non-symbolic representations of event frames and narrative structures of events that are trained on language and visual data. The grammatical structure of language is grounded in the geometric structure of visual data while embodying aspects of commonsense and world knowledge. The reusable representations are evaluated in a selection of NLU tasks requiring efficient real-time retrieval of the representations and parsing of the targeted written texts. Finally, we will evaluate the inference potential of the anticipatory representations in situations not seen in the training data and when inferring spatial and temporal information in metric real world spaces that is not mentioned in the processed language. The machine learning methods focus on learning latent variable models relying on Bayesian probabilistic models and neural networks and focus on settings with limited training data that are manually annotated. The best models will be integrated in a demonstrator that translates the language of stories to events happening in a 3-D virtual world. The PI has interdisciplinary expertise in natural language processing, joint processing of language and visual data, information retrieval and machine learning needed for the successful realization of the project.
Summary
Natural language understanding (NLU) by the machine is of large scientific, economic and social value. Humans perform the NLU task in an efficient way by relying on their capability to imagine or anticipate situations. They engage commonsense and world knowledge that is often acquired through perceptual experiences to make explicit what is left implicit in language. Inspired by these characteristics CALCULUS will design, implement and evaluate innovative paradigms supporting NLU, where it will combine old but powerful ideas for language understanding from the early days of artificial intelligence with new approaches from machine learning. The project focuses on the effective learning of anticipatory, continuous, non-symbolic representations of event frames and narrative structures of events that are trained on language and visual data. The grammatical structure of language is grounded in the geometric structure of visual data while embodying aspects of commonsense and world knowledge. The reusable representations are evaluated in a selection of NLU tasks requiring efficient real-time retrieval of the representations and parsing of the targeted written texts. Finally, we will evaluate the inference potential of the anticipatory representations in situations not seen in the training data and when inferring spatial and temporal information in metric real world spaces that is not mentioned in the processed language. The machine learning methods focus on learning latent variable models relying on Bayesian probabilistic models and neural networks and focus on settings with limited training data that are manually annotated. The best models will be integrated in a demonstrator that translates the language of stories to events happening in a 3-D virtual world. The PI has interdisciplinary expertise in natural language processing, joint processing of language and visual data, information retrieval and machine learning needed for the successful realization of the project.
Max ERC Funding
2 227 500 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym CALLIOPE
Project voCAL articuLations Of Parliamentary Identity and Empire
Researcher (PI) Josephine HOEGAERTS
Host Institution (HI) HELSINGIN YLIOPISTO
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 CANITEST
Project CANITEST: Proof-Of-Concept of a PCR test designed to identify the dogs carrying the more virulent strains of Capnocytophaga canimorsus
Researcher (PI) Guy Cornélis
Host Institution (HI) UNIVERSITE DE NAMUR ASBL
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary The idea to be taken as proof of concept is drawn from the ERC Advanced grant N°293605-CAPCAN (2012-2016). This grant aimed at understanding the molecular and genetic bases of the dramatic human infections caused by Capnocytophaga canimorsus. One of the questions that we addressed in the frame of CAPCAN is why are there so few cases of human infections while so many dogs carry C. canimorsus? In other words, are all C. canimorsus strains equally dangerous and, if not, could we prevent the disease by detecting the dogs carrying the more dangerous strains? During CAPCAN, among others, we showed that C. canimorsus is endowed with a capsular polysaccharide (CPS) and its assembly pathway was characterized [1]. We also showed that the CPS of 25/25 strains isolated from human infections present a limited variability, with 3 dominant capsular serovars. In contrast, only 4 out of 52 C. canimorsus isolated from dog mouths did belong to these three serovars [2]. This implies that a small minority of dog-hosted C. canimorsus strains are virulent for humans than most strains and that these strains can be identified by capsular serotyping. We also set up a PCR test to achieve this capsular serotyping [2]. The proposal to be taken to proof of concept is to market the PCR test designed to identify the dogs carrying the more virulent strains of C. canimorsus.
Summary
The idea to be taken as proof of concept is drawn from the ERC Advanced grant N°293605-CAPCAN (2012-2016). This grant aimed at understanding the molecular and genetic bases of the dramatic human infections caused by Capnocytophaga canimorsus. One of the questions that we addressed in the frame of CAPCAN is why are there so few cases of human infections while so many dogs carry C. canimorsus? In other words, are all C. canimorsus strains equally dangerous and, if not, could we prevent the disease by detecting the dogs carrying the more dangerous strains? During CAPCAN, among others, we showed that C. canimorsus is endowed with a capsular polysaccharide (CPS) and its assembly pathway was characterized [1]. We also showed that the CPS of 25/25 strains isolated from human infections present a limited variability, with 3 dominant capsular serovars. In contrast, only 4 out of 52 C. canimorsus isolated from dog mouths did belong to these three serovars [2]. This implies that a small minority of dog-hosted C. canimorsus strains are virulent for humans than most strains and that these strains can be identified by capsular serotyping. We also set up a PCR test to achieve this capsular serotyping [2]. The proposal to be taken to proof of concept is to market the PCR test designed to identify the dogs carrying the more virulent strains of C. canimorsus.
Max ERC Funding
150 000 €
Duration
Start date: 2017-12-01, End date: 2019-05-31
Project acronym CellKarma
Project Dissecting the regulatory logic of cell fate reprogramming through integrative and single cell genomics
Researcher (PI) Davide CACCHIARELLI
Host Institution (HI) FONDAZIONE TELETHON
Call Details Starting Grant (StG), LS2, ERC-2017-STG
Summary The concept that any cell type, upon delivery of the right “cocktail” of transcription factors, can acquire an identity that otherwise it would never achieve, revolutionized the way we approach the study of developmental biology. In light of this, the discovery of induced pluripotent stem cells (IPSCs) and cell fate conversion approaches stimulated new research directions into human regenerative biology. However, the chance to successfully develop patient-tailored therapies is still very limited because reprogramming technologies are applied without a comprehensive understanding of the molecular processes involved.
Here, I propose a multifaceted approach that combines a wide range of cutting-edge integrative genomic strategies to significantly advance our understanding of the regulatory logic driving cell fate decisions during human reprogramming to pluripotency.
To this end, I will utilize single cell transcriptomics to isolate reprogramming intermediates, reconstruct their lineage relationships and define transcriptional regulators responsible for the observed transitions (AIM 1). Then, I will dissect the rules by which transcription factors modulate the activity of promoters and enhancer regions during reprogramming transitions, by applying synthetic biology and genome editing approaches (AIM 2). Then, I will adopt an alternative approach to identify reprogramming modulators by the analysis of reprogramming-induced mutagenesis events (AIM 3). Finally, I will explore my findings in multiple primary reprogramming approaches to pluripotency, with the ultimate goal of improving the quality of IPSC derivation (Aim 4).
In summary, this project will expose novel determinants and yet unidentified molecular barriers of reprogramming to pluripotency and will be essential to unlock the full potential of reprogramming technologies for shaping cellular identity in vitro and to address pressing challenges of regenerative medicine.
Summary
The concept that any cell type, upon delivery of the right “cocktail” of transcription factors, can acquire an identity that otherwise it would never achieve, revolutionized the way we approach the study of developmental biology. In light of this, the discovery of induced pluripotent stem cells (IPSCs) and cell fate conversion approaches stimulated new research directions into human regenerative biology. However, the chance to successfully develop patient-tailored therapies is still very limited because reprogramming technologies are applied without a comprehensive understanding of the molecular processes involved.
Here, I propose a multifaceted approach that combines a wide range of cutting-edge integrative genomic strategies to significantly advance our understanding of the regulatory logic driving cell fate decisions during human reprogramming to pluripotency.
To this end, I will utilize single cell transcriptomics to isolate reprogramming intermediates, reconstruct their lineage relationships and define transcriptional regulators responsible for the observed transitions (AIM 1). Then, I will dissect the rules by which transcription factors modulate the activity of promoters and enhancer regions during reprogramming transitions, by applying synthetic biology and genome editing approaches (AIM 2). Then, I will adopt an alternative approach to identify reprogramming modulators by the analysis of reprogramming-induced mutagenesis events (AIM 3). Finally, I will explore my findings in multiple primary reprogramming approaches to pluripotency, with the ultimate goal of improving the quality of IPSC derivation (Aim 4).
In summary, this project will expose novel determinants and yet unidentified molecular barriers of reprogramming to pluripotency and will be essential to unlock the full potential of reprogramming technologies for shaping cellular identity in vitro and to address pressing challenges of regenerative medicine.
Max ERC Funding
1 497 250 €
Duration
Start date: 2018-03-01, End date: 2023-02-28
Project acronym CO2LIFE
Project BIOMIMETIC FIXATION OF CO2 AS SOURCE OF SALTS AND GLUCOSE
Researcher (PI) Patricia LUIS ALCONERO
Host Institution (HI) UNIVERSITE CATHOLIQUE DE LOUVAIN
Call Details Starting Grant (StG), PE8, ERC-2017-STG
Summary The continued increase in the atmospheric concentration of CO2 due to anthropogenic emissions is leading to significant changes in climate, with the industry accounting for one-third of all the energy used globally and for almost 40% of worldwide CO2 emissions. Fast actions are required to decrease the concentration of this greenhouse gas in the atmosphere, value that has currently reaching 400 ppm. Among the technological possibilities that are on the table to reduce CO2 emissions, carbon capture and storage into geological deposits is one of the main strategies that is being applied. However, the final objective of this strategy is to remove CO2 without considering the enormous potential of this molecule as a source of carbon for the production of valuable compounds. Nature has developed an effective and equilibrated mechanism to concentrate CO2 and fixate the inorganic carbon into organic material (e.g., glucose) by means of enzymatic action. Mimicking Nature and take advantage of millions of years of evolution should be considered as a basic starting point in the development of smart and highly effective processes. In addition, the use of amino-acid salts for CO2 capture is envisaged as a potential approach to recover CO2 in the form of (bi)carbonates.
The project CO2LIFE presents the overall objective of developing a chemical process that converts carbon dioxide into valuable molecules using membrane technology. The strategy followed in this project is two-fold: i) CO2 membrane-based absorption-crystallization process on basis of using amino-acid salts, and ii) CO2 conversion into glucose or salts by using enzymes as catalysts supported on or retained by membranes. The final product, i.e. (bi)carbonates or glucose, has a large interest in the (bio)chemical industry, thus, new CO2 emissions are avoided and the carbon cycle is closed. This project will provide a technological solution at industrial scale for the removal and reutilization of CO2.
Summary
The continued increase in the atmospheric concentration of CO2 due to anthropogenic emissions is leading to significant changes in climate, with the industry accounting for one-third of all the energy used globally and for almost 40% of worldwide CO2 emissions. Fast actions are required to decrease the concentration of this greenhouse gas in the atmosphere, value that has currently reaching 400 ppm. Among the technological possibilities that are on the table to reduce CO2 emissions, carbon capture and storage into geological deposits is one of the main strategies that is being applied. However, the final objective of this strategy is to remove CO2 without considering the enormous potential of this molecule as a source of carbon for the production of valuable compounds. Nature has developed an effective and equilibrated mechanism to concentrate CO2 and fixate the inorganic carbon into organic material (e.g., glucose) by means of enzymatic action. Mimicking Nature and take advantage of millions of years of evolution should be considered as a basic starting point in the development of smart and highly effective processes. In addition, the use of amino-acid salts for CO2 capture is envisaged as a potential approach to recover CO2 in the form of (bi)carbonates.
The project CO2LIFE presents the overall objective of developing a chemical process that converts carbon dioxide into valuable molecules using membrane technology. The strategy followed in this project is two-fold: i) CO2 membrane-based absorption-crystallization process on basis of using amino-acid salts, and ii) CO2 conversion into glucose or salts by using enzymes as catalysts supported on or retained by membranes. The final product, i.e. (bi)carbonates or glucose, has a large interest in the (bio)chemical industry, thus, new CO2 emissions are avoided and the carbon cycle is closed. This project will provide a technological solution at industrial scale for the removal and reutilization of CO2.
Max ERC Funding
1 302 710 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
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
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: 2022-12-31
Project acronym CoHuBiCoL
Project Counting as a Human Being in the Era of Computational Law
Researcher (PI) Mireille HILDEBRANDT
Host Institution (HI) VRIJE UNIVERSITEIT BRUSSEL
Call Details Advanced Grant (AdG), SH2, ERC-2017-ADG
Summary This project will investigate how the prominence of counting and computation transforms many of the assumptions, operations and outcomes of the law. It targets two types of computational law: artificial legal intelligence or data-driven law (based on machine learning), and cryptographic or code-driven law (based on blockchain technologies). Both disrupt, erode and challenge conventional legal scholarship and legal practice. The core thesis of the research is that the upcoming integration of computational law into mainstream legal practice, could transform the mode of existence of law and notably of the Rule of Law. Such a transformation will affect the nature of legal protection, potentially reducing the capability of individual human beings to invoke legal remedies, restricting or ruling out effective redress. To understand and address this transformation, modern positive law will be analysed as text-driven law, enabling a comparative analysis of text-driven, data-driven and code-driven normativity. The overarching goal is to develop a new hermeneutics for computational law, based on (1) research into the assumptions and (2) the implications of computational law, and on (3) the development of conceptual tools to rethink and reconstruct the Rule of Law in the era of computational law. The intermediate goals are an in-depth assessment of the nature of legal protection in text-driven law, and of the potential for legal protection in data-driven and code-driven law. The new hermeneutics will enable a new practice of interpretation on the cusp of law and computer science. The research methodology is based on legal theory and philosophy of law in close interaction with computer science, integrating key insights into the affordances of computational architectures into legal methodology, thus achieving a pivotal innovation of legal method.
Summary
This project will investigate how the prominence of counting and computation transforms many of the assumptions, operations and outcomes of the law. It targets two types of computational law: artificial legal intelligence or data-driven law (based on machine learning), and cryptographic or code-driven law (based on blockchain technologies). Both disrupt, erode and challenge conventional legal scholarship and legal practice. The core thesis of the research is that the upcoming integration of computational law into mainstream legal practice, could transform the mode of existence of law and notably of the Rule of Law. Such a transformation will affect the nature of legal protection, potentially reducing the capability of individual human beings to invoke legal remedies, restricting or ruling out effective redress. To understand and address this transformation, modern positive law will be analysed as text-driven law, enabling a comparative analysis of text-driven, data-driven and code-driven normativity. The overarching goal is to develop a new hermeneutics for computational law, based on (1) research into the assumptions and (2) the implications of computational law, and on (3) the development of conceptual tools to rethink and reconstruct the Rule of Law in the era of computational law. The intermediate goals are an in-depth assessment of the nature of legal protection in text-driven law, and of the potential for legal protection in data-driven and code-driven law. The new hermeneutics will enable a new practice of interpretation on the cusp of law and computer science. The research methodology is based on legal theory and philosophy of law in close interaction with computer science, integrating key insights into the affordances of computational architectures into legal methodology, thus achieving a pivotal innovation of legal method.
Max ERC Funding
2 492 433 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym COMICS
Project Children in Comics: An Intercultural History from 1865 to Today
Researcher (PI) Maaheen AHMED
Host Institution (HI) UNIVERSITEIT GENT
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 COMPLEX-FISH
Project Complex eco-evolutionary dynamics of aquatic ecosystems faced with human-induced and environmental stress
Researcher (PI) Anna KUPARINEN
Host Institution (HI) JYVASKYLAN YLIOPISTO
Call Details Consolidator Grant (CoG), LS8, ERC-2017-COG
Summary Resilience and recovery ability are key determinants of species persistence and viability in a changing world. Populations exposed to rapid environmental changes and human-induced alterations are often affected by both ecological and evolutionary processes and their interactions, that is, eco-evolutionary dynamics. The integrated perspective offered by eco-evolutionary dynamics is vital for understanding drivers of resilience and recovery of natural populations undergoing rapid changes and exposed to multiple stressors. However, the feedback mechanisms, and the ways in which evolution and phenotypic changes scale up to interacting species, communities, and ecosystems, remains poorly understood. The objective of my proposal is to bridge and close this gap by merging the fields of ecology and evolution into two interfaces of complex biological dynamics. I will do this in the context of conservation and sustainable harvesting of aquatic ecosystems. I will develop a novel mechanistic theory of eco-evolutionary ecosystem dynamics, by coupling the theory of allometric trophic networks with the theory of life-history evolution. I will analyse the eco-evolutionary dynamics of aquatic ecosystems to identify mechanisms responsible for species and ecosystem resilience and recovery ability. This will be done through systematic simulation studies and detailed analyses of three aquatic ecosystems. The project delves into the mechanisms through which anthropogenic and environmental drivers alter the eco-evolutionary dynamics of aquatic ecosystems. Mechanistic understanding of these dynamics, and their consequences to species and ecosystems, has great potential to resolve fundamental yet puzzling patterns observed in natural populations and to identify species and ecosystem properties regulating resilience and recovery ability. This will drastically change our ability to assess the risks related to current and future anthropogenic and environmental influences on aquatic ecosystems.
Summary
Resilience and recovery ability are key determinants of species persistence and viability in a changing world. Populations exposed to rapid environmental changes and human-induced alterations are often affected by both ecological and evolutionary processes and their interactions, that is, eco-evolutionary dynamics. The integrated perspective offered by eco-evolutionary dynamics is vital for understanding drivers of resilience and recovery of natural populations undergoing rapid changes and exposed to multiple stressors. However, the feedback mechanisms, and the ways in which evolution and phenotypic changes scale up to interacting species, communities, and ecosystems, remains poorly understood. The objective of my proposal is to bridge and close this gap by merging the fields of ecology and evolution into two interfaces of complex biological dynamics. I will do this in the context of conservation and sustainable harvesting of aquatic ecosystems. I will develop a novel mechanistic theory of eco-evolutionary ecosystem dynamics, by coupling the theory of allometric trophic networks with the theory of life-history evolution. I will analyse the eco-evolutionary dynamics of aquatic ecosystems to identify mechanisms responsible for species and ecosystem resilience and recovery ability. This will be done through systematic simulation studies and detailed analyses of three aquatic ecosystems. The project delves into the mechanisms through which anthropogenic and environmental drivers alter the eco-evolutionary dynamics of aquatic ecosystems. Mechanistic understanding of these dynamics, and their consequences to species and ecosystems, has great potential to resolve fundamental yet puzzling patterns observed in natural populations and to identify species and ecosystem properties regulating resilience and recovery ability. This will drastically change our ability to assess the risks related to current and future anthropogenic and environmental influences on aquatic ecosystems.
Max ERC Funding
1 999 391 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym COSMOS
Project Computational Simulations of MOFs for Gas Separations
Researcher (PI) Seda Keskin Avci
Host Institution (HI) KOC UNIVERSITY
Call Details Starting Grant (StG), PE8, ERC-2017-STG
Summary Metal organic frameworks (MOFs) are recently considered as new fascinating nanoporous materials. MOFs have very large surface areas, high porosities, various pore sizes/shapes, chemical functionalities and good thermal/chemical stabilities. These properties make MOFs highly promising for gas separation applications. Thousands of MOFs have been synthesized in the last decade. The large number of available MOFs creates excellent opportunities to develop energy-efficient gas separation technologies. On the other hand, it is very challenging to identify the best materials for each gas separation of interest. Considering the continuous rapid increase in the number of synthesized materials, it is practically not possible to test each MOF using purely experimental manners. Highly accurate computational methods are required to identify the most promising MOFs to direct experimental efforts, time and resources to those materials. In this project, I will build a complete MOF library and use molecular simulations to assess adsorption and diffusion properties of gas mixtures in MOFs. Results of simulations will be used to predict adsorbent and membrane properties of MOFs for scientifically and technologically important gas separation processes such as CO2/CH4 (natural gas purification), CO2/N2 (flue gas separation), CO2/H2, CH4/H2 and N2/H2 (hydrogen recovery). I will obtain the fundamental, atomic-level insights into the common features of the top-performing MOFs and establish structure-performance relations. These relations will be used as guidelines to computationally design new MOFs with outstanding separation performances for CO2 capture and H2 recovery. These new MOFs will be finally synthesized in the lab scale and tested as adsorbents and membranes under practical operating conditions for each gas separation of interest. Combining a multi-stage computational approach with experiments, this project will lead to novel, efficient gas separation technologies based on MOFs.
Summary
Metal organic frameworks (MOFs) are recently considered as new fascinating nanoporous materials. MOFs have very large surface areas, high porosities, various pore sizes/shapes, chemical functionalities and good thermal/chemical stabilities. These properties make MOFs highly promising for gas separation applications. Thousands of MOFs have been synthesized in the last decade. The large number of available MOFs creates excellent opportunities to develop energy-efficient gas separation technologies. On the other hand, it is very challenging to identify the best materials for each gas separation of interest. Considering the continuous rapid increase in the number of synthesized materials, it is practically not possible to test each MOF using purely experimental manners. Highly accurate computational methods are required to identify the most promising MOFs to direct experimental efforts, time and resources to those materials. In this project, I will build a complete MOF library and use molecular simulations to assess adsorption and diffusion properties of gas mixtures in MOFs. Results of simulations will be used to predict adsorbent and membrane properties of MOFs for scientifically and technologically important gas separation processes such as CO2/CH4 (natural gas purification), CO2/N2 (flue gas separation), CO2/H2, CH4/H2 and N2/H2 (hydrogen recovery). I will obtain the fundamental, atomic-level insights into the common features of the top-performing MOFs and establish structure-performance relations. These relations will be used as guidelines to computationally design new MOFs with outstanding separation performances for CO2 capture and H2 recovery. These new MOFs will be finally synthesized in the lab scale and tested as adsorbents and membranes under practical operating conditions for each gas separation of interest. Combining a multi-stage computational approach with experiments, this project will lead to novel, efficient gas separation technologies based on MOFs.
Max ERC Funding
1 500 000 €
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
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: 2023-05-31
Project acronym CUREORCURSE
Project Non-elected politics.Cure or Curse for the Crisis of Representative Democracy?
Researcher (PI) Jean-Benoit PILET
Host Institution (HI) UNIVERSITE LIBRE DE BRUXELLES
Call Details Consolidator Grant (CoG), SH2, ERC-2017-COG
Summary Evidence of a growing disengagement of citizens from politics is multiplying. Electoral turnout reaches historically low levels. Anti-establishment and populist parties are on the rise. Fewer and fewer Europeans trust their representative institutions. In response, we have observed a multiplication of institutional reforms aimed at revitalizing representative democracy. Two in particular stand out: the delegation of some political decision-making powers to (1) selected citizens and to (2) selected experts. But there is a paradox in attempting to cure the crisis of representative democracy by introducing such reforms. In representative democracy, control over political decision-making is vested in elected representatives. Delegating political decision-making to selected experts/citizens is at odds with this definition. It empowers the non-elected. If these reforms show that politics could work without elected officials, could we really expect that citizens’ support for representative democracy would be boosted and that citizens would re-engage with representative politics? In that sense, would it be a cure for the crisis of representative democracy, or rather a curse? Our central hypothesis is that there is no universal and univocal healing (or harming) effect of non-elected politics on support for representative democracy. In order to verify it, I propose to collect data across Europe on three elements: (1) a detailed study of the preferences of Europeans on how democracy should work and on institutional reforms towards non-elected politics, (2) a comprehensive inventory of all actual cases of empowerment of citizens and experts implemented across Europe since 2000, and (3) an analysis of the impact of exposure to non-elected politics on citizens’ attitudes towards representative democracy. An innovative combination of online survey experiments and of panel surveys will be used to answer this topical research question with far-reaching societal implication.
Summary
Evidence of a growing disengagement of citizens from politics is multiplying. Electoral turnout reaches historically low levels. Anti-establishment and populist parties are on the rise. Fewer and fewer Europeans trust their representative institutions. In response, we have observed a multiplication of institutional reforms aimed at revitalizing representative democracy. Two in particular stand out: the delegation of some political decision-making powers to (1) selected citizens and to (2) selected experts. But there is a paradox in attempting to cure the crisis of representative democracy by introducing such reforms. In representative democracy, control over political decision-making is vested in elected representatives. Delegating political decision-making to selected experts/citizens is at odds with this definition. It empowers the non-elected. If these reforms show that politics could work without elected officials, could we really expect that citizens’ support for representative democracy would be boosted and that citizens would re-engage with representative politics? In that sense, would it be a cure for the crisis of representative democracy, or rather a curse? Our central hypothesis is that there is no universal and univocal healing (or harming) effect of non-elected politics on support for representative democracy. In order to verify it, I propose to collect data across Europe on three elements: (1) a detailed study of the preferences of Europeans on how democracy should work and on institutional reforms towards non-elected politics, (2) a comprehensive inventory of all actual cases of empowerment of citizens and experts implemented across Europe since 2000, and (3) an analysis of the impact of exposure to non-elected politics on citizens’ attitudes towards representative democracy. An innovative combination of online survey experiments and of panel surveys will be used to answer this topical research question with far-reaching societal implication.
Max ERC Funding
1 981 589 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym DarkGRA
Project Unveiling the dark universe with gravitational waves: Black holes and compact stars as laboratories for fundamental physics
Researcher (PI) Paolo PANI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Call Details Starting Grant (StG), PE2, ERC-2017-STG
Summary In recent years, our theoretical understanding of the strong-field regime of gravity has grown in parallel with the observational confirmations that culminated in the landmark detection of gravitational waves (GWs). This synergy of breakthroughs at the observational, technical, and conceptual level offers the unprecedented opportunity to merge traditionally disjoint areas, and to make strong gravity a precision tool to probe fundamental physics.
The aim of the DarkGRA project is to investigate novel effects related to strong gravitational sources -such as black holes (BHs) and compact stars- that can be used to turn these objects into cosmic labs, where matter in extreme conditions, particle physics, and the very foundations of Einstein's theory of gravity can be put to the test. In this context, we propose to explore some outstanding, cross-cutting problems in fundamental physics: the existence of extra light fields, the limits of classical gravity, the nature of BHs and of spacetime singularities, and the effects of dark matter near compact objects. Our ultimate goal is to probe fundamental physics in the most extreme gravitational settings and to devise new approaches for detection, complementary to laboratory searches. This groundbreaking research program -located at the interface between particle physics, astrophysics and gravitation- is now made possible by novel techniques to scrutinize astrophysical compact objects, by current and future GW and X-ray detectors, and by the astonishing precision of pulsar timing. If supported by a solid theoretical framework, these new observations can potentially lead to surprising discoveries and paradigm shifts in our understanding of the fundamental laws of nature at all scales.
Summary
In recent years, our theoretical understanding of the strong-field regime of gravity has grown in parallel with the observational confirmations that culminated in the landmark detection of gravitational waves (GWs). This synergy of breakthroughs at the observational, technical, and conceptual level offers the unprecedented opportunity to merge traditionally disjoint areas, and to make strong gravity a precision tool to probe fundamental physics.
The aim of the DarkGRA project is to investigate novel effects related to strong gravitational sources -such as black holes (BHs) and compact stars- that can be used to turn these objects into cosmic labs, where matter in extreme conditions, particle physics, and the very foundations of Einstein's theory of gravity can be put to the test. In this context, we propose to explore some outstanding, cross-cutting problems in fundamental physics: the existence of extra light fields, the limits of classical gravity, the nature of BHs and of spacetime singularities, and the effects of dark matter near compact objects. Our ultimate goal is to probe fundamental physics in the most extreme gravitational settings and to devise new approaches for detection, complementary to laboratory searches. This groundbreaking research program -located at the interface between particle physics, astrophysics and gravitation- is now made possible by novel techniques to scrutinize astrophysical compact objects, by current and future GW and X-ray detectors, and by the astonishing precision of pulsar timing. If supported by a solid theoretical framework, these new observations can potentially lead to surprising discoveries and paradigm shifts in our understanding of the fundamental laws of nature at all scales.
Max ERC Funding
1 337 481 €
Duration
Start date: 2017-10-01, End date: 2022-09-30
Project acronym DEMOBLACK
Project Demography of black hole binaries in the era of gravitational wave astronomy
Researcher (PI) Michela MAPELLI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI PADOVA
Call Details Consolidator Grant (CoG), PE9, ERC-2017-COG
Summary The first direct detection of gravitational waves demonstrated that double black hole (BH) binaries exist, and can host surprisingly massive objects (> 20 solar masses). Most theoretical models do not predict the existence of such massive BHs, and the formation channels of BH binaries are essentially unconstrained. Dynamically formed BH binaries are the most elusive ones: current models either neglect them or study them in idealized systems. With DEMOBLACK, I will draw the first satisfactory picture of BH binary demography, by modeling realistic BH dynamics in a well-motivated cosmological context. I propose a novel approach for the study of BH dynamics: I will simulate the formation of BH binaries in star clusters self-consistently, starting from the hydrodynamics of the parent molecular cloud and accounting for the impact of stellar evolution, feedback, and dynamics on BH binaries. The key tool of DEMOBLACK is SEVN, my new population-synthesis code. With SEVN, I predicted the formation of massive BHs from metal-poor stars, before the first direct detection of gravitational waves. I will interface SEVN with a hydrodynamical code and with an N-body code, to study the formation of BH binaries self-consistently. I will then model the history of BH binaries across cosmic time, accounting for the evolution of metallicity. This novel approach is decisive to break degeneracies between dynamically formed and primordial BH binaries, and to make predictions for future observations by ground-based and space-borne gravitational wave interferometers.
Summary
The first direct detection of gravitational waves demonstrated that double black hole (BH) binaries exist, and can host surprisingly massive objects (> 20 solar masses). Most theoretical models do not predict the existence of such massive BHs, and the formation channels of BH binaries are essentially unconstrained. Dynamically formed BH binaries are the most elusive ones: current models either neglect them or study them in idealized systems. With DEMOBLACK, I will draw the first satisfactory picture of BH binary demography, by modeling realistic BH dynamics in a well-motivated cosmological context. I propose a novel approach for the study of BH dynamics: I will simulate the formation of BH binaries in star clusters self-consistently, starting from the hydrodynamics of the parent molecular cloud and accounting for the impact of stellar evolution, feedback, and dynamics on BH binaries. The key tool of DEMOBLACK is SEVN, my new population-synthesis code. With SEVN, I predicted the formation of massive BHs from metal-poor stars, before the first direct detection of gravitational waves. I will interface SEVN with a hydrodynamical code and with an N-body code, to study the formation of BH binaries self-consistently. I will then model the history of BH binaries across cosmic time, accounting for the evolution of metallicity. This novel approach is decisive to break degeneracies between dynamically formed and primordial BH binaries, and to make predictions for future observations by ground-based and space-borne gravitational wave interferometers.
Max ERC Funding
1 994 764 €
Duration
Start date: 2018-11-01, End date: 2023-10-31
Project acronym DIDO-MS
Project Commercialization of a first in class multiple sclerosis drug
Researcher (PI) Ursula GROHMANN CARMIGNANI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI PERUGIA
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary Multiple sclerosis (MS) is a chronic and progressive neurodegenerative disease that is currently affecting 2.3 million people worldwide. Incidence rates of MS are significantly higher in Europe and in other regions located within the northern hemisphere. In Europe, the number of patients currently afflicted with MS is estimated to be at 700,000, with incidence rates ranging from 2.3-12.2/100,000 per year. GlobalData assessed the market value for MS treatments in 10 major markets (France, Germany, Italy, Spain, UK, US, Canada, Japan, China and India) in 2014 to be at €16.2 billion and predicts it to rise to approximately €18.82 billion by 2024. This increase is attributed to the projected sales of newly-approved drugs. The main shortcoming of current MS treatments ultimately lies in their lack of efficacy, specifically in that they are unable to prevent progressive neurodegeneration in MS patients. MS poses a significant economic burden on society as the disease affects primarily young people who are in their most economically-productive years. Aside from limited efficacies, current treatment options are also associated with severe side-effects (increased risks of infection, cancer), high costs and inconvenient administration routes (e.g. intravenous, intramuscular, subcutaneous). The aim of DIDO-MS is to assess the commercial viability of a newly identified small molecule as a drug in the treatment of MS.
Summary
Multiple sclerosis (MS) is a chronic and progressive neurodegenerative disease that is currently affecting 2.3 million people worldwide. Incidence rates of MS are significantly higher in Europe and in other regions located within the northern hemisphere. In Europe, the number of patients currently afflicted with MS is estimated to be at 700,000, with incidence rates ranging from 2.3-12.2/100,000 per year. GlobalData assessed the market value for MS treatments in 10 major markets (France, Germany, Italy, Spain, UK, US, Canada, Japan, China and India) in 2014 to be at €16.2 billion and predicts it to rise to approximately €18.82 billion by 2024. This increase is attributed to the projected sales of newly-approved drugs. The main shortcoming of current MS treatments ultimately lies in their lack of efficacy, specifically in that they are unable to prevent progressive neurodegeneration in MS patients. MS poses a significant economic burden on society as the disease affects primarily young people who are in their most economically-productive years. Aside from limited efficacies, current treatment options are also associated with severe side-effects (increased risks of infection, cancer), high costs and inconvenient administration routes (e.g. intravenous, intramuscular, subcutaneous). The aim of DIDO-MS is to assess the commercial viability of a newly identified small molecule as a drug in the treatment of MS.
Max ERC Funding
150 000 €
Duration
Start date: 2018-02-01, End date: 2019-07-31
Project acronym DISCOMPOSE
Project Disasters, Communication and Politics in South-Western Europe: the Making of Emergency Response Policies in the Early Modern Age
Researcher (PI) Domenico CECERE
Host Institution (HI) UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II
Call Details Starting Grant (StG), SH6, ERC-2017-STG
Summary The connections between the circulation of news of extreme events, the making of influential narratives of collective traumas and the development of emergency response policies lie at the heart of this research proposal, which focuses on four Southern European areas: Catalonia, Naples, Sicily and Valencia, from the 16th to the 18th century. How did accounts and individual memories of extreme events amount to authoritative interpretations? In which ways, and to what extent, did the latter orient collective behaviours and the recovery process, in both the short and the long term?
Starting from the assumption that human relations are enhanced by the increased levels of socialisation that commonly occur in the aftermath of shocking events, which trigger the sharing of information, opinions and memories; and that the emotional impact of such events is likely to create a public opinion that draws attention to government’s action; the research proposal aims to contribute new insights into these issues by adopting an original methodology, developed across a variety of disciplines, including Cultural and Social History, Textual Criticism, Philology and Anthropology. Moreover, it will adopt a transnational perspective: since the selected regions belonged to the Spanish Monarchy, the development of practices and polices aimed to respond to disruption depended not only on the specific social and cultural features of local societies, but also on the circulation of political and technical staff, as well as on the sharing of knowledge, experiences and policy models, among the various areas of the Empire and its colonies. Studying the information exchange in the aftermath of disasters and the formation of an imagery of extraordinary events, will allow a comprehensive perspective on the policies and practices adopted by early modern societies to manage uncertainty, and on the potential impact that such narratives could have on the renegotiation of political and social relations.
Summary
The connections between the circulation of news of extreme events, the making of influential narratives of collective traumas and the development of emergency response policies lie at the heart of this research proposal, which focuses on four Southern European areas: Catalonia, Naples, Sicily and Valencia, from the 16th to the 18th century. How did accounts and individual memories of extreme events amount to authoritative interpretations? In which ways, and to what extent, did the latter orient collective behaviours and the recovery process, in both the short and the long term?
Starting from the assumption that human relations are enhanced by the increased levels of socialisation that commonly occur in the aftermath of shocking events, which trigger the sharing of information, opinions and memories; and that the emotional impact of such events is likely to create a public opinion that draws attention to government’s action; the research proposal aims to contribute new insights into these issues by adopting an original methodology, developed across a variety of disciplines, including Cultural and Social History, Textual Criticism, Philology and Anthropology. Moreover, it will adopt a transnational perspective: since the selected regions belonged to the Spanish Monarchy, the development of practices and polices aimed to respond to disruption depended not only on the specific social and cultural features of local societies, but also on the circulation of political and technical staff, as well as on the sharing of knowledge, experiences and policy models, among the various areas of the Empire and its colonies. Studying the information exchange in the aftermath of disasters and the formation of an imagery of extraordinary events, will allow a comprehensive perspective on the policies and practices adopted by early modern societies to manage uncertainty, and on the potential impact that such narratives could have on the renegotiation of political and social relations.
Max ERC Funding
1 481 813 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym DOMESTICATION
Project Domestication in Action - Tracing Archaeological Markers of Human-Animal Interaction
Researcher (PI) Anna-Kaisa SALMI
Host Institution (HI) OULUN YLIOPISTO
Call Details Starting Grant (StG), SH6, ERC-2017-STG
Summary The project will create new methodology for identification and interpretation of animal domestication, with a case study pertaining to reindeer domestication among the indigenous Sámi in northern Fennoscandia. Identification of early animal domestication is complicated due to the limited human control over the animals’ life cycles in early stages of domestication, leading to difficulties in interpreting morphological and genetic data, as well as in using traditional concepts and definitions of domestication. These problems are especially pressing in the study of reindeer domestication, characterized by very limited human control over animals. However, understanding reindeer domestication is important to local communities as well as to the scientific community due to central role of human-reindeer relation as a carrier of culture and identity among many peoples, including Sámi of northern Fennoscandia.
As a novel approach, we propose a focus on interactional events between humans and animals as indications of domestication taking place. We will create methods aimed at identifying interactional events such as draught use and feeding, between reindeer and humans. The methodological package includes physical activity reconstruction through entheseal changes, pathological lesions and bone cross-sections, and analysis of stable isotopes as indicator of animal diet. These methods will then be applied for archaeological reindeer bone finds and the results will be checked against aDNA data to examine changing human-animal relationships among the Sámi. The project has a potential to break new ground in understanding animal domestication as human-animal interaction, a viewpoint pivotal in today’s human-animal studies. Moreover, the project has potential of methodological breakthroughs and creation of transferable methodology. The results will be relevant to local communities and researchers dealing with domestication, human-animal studies and colonial histories.
Summary
The project will create new methodology for identification and interpretation of animal domestication, with a case study pertaining to reindeer domestication among the indigenous Sámi in northern Fennoscandia. Identification of early animal domestication is complicated due to the limited human control over the animals’ life cycles in early stages of domestication, leading to difficulties in interpreting morphological and genetic data, as well as in using traditional concepts and definitions of domestication. These problems are especially pressing in the study of reindeer domestication, characterized by very limited human control over animals. However, understanding reindeer domestication is important to local communities as well as to the scientific community due to central role of human-reindeer relation as a carrier of culture and identity among many peoples, including Sámi of northern Fennoscandia.
As a novel approach, we propose a focus on interactional events between humans and animals as indications of domestication taking place. We will create methods aimed at identifying interactional events such as draught use and feeding, between reindeer and humans. The methodological package includes physical activity reconstruction through entheseal changes, pathological lesions and bone cross-sections, and analysis of stable isotopes as indicator of animal diet. These methods will then be applied for archaeological reindeer bone finds and the results will be checked against aDNA data to examine changing human-animal relationships among the Sámi. The project has a potential to break new ground in understanding animal domestication as human-animal interaction, a viewpoint pivotal in today’s human-animal studies. Moreover, the project has potential of methodological breakthroughs and creation of transferable methodology. The results will be relevant to local communities and researchers dealing with domestication, human-animal studies and colonial histories.
Max ERC Funding
1 490 915 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym DyNET
Project Dynamical river NETworks: climatic controls and biogeochemical function
Researcher (PI) Gianluca BOTTER
Host Institution (HI) UNIVERSITA DEGLI STUDI DI PADOVA
Call Details Consolidator Grant (CoG), PE10, ERC-2017-COG
Summary Despite the ubiquity of expansion and retraction dynamics of flowing streams, the large majority of biogeochemical and hydrological studies conceive river networks as static elements of the landscape, and a coherent framework to quantify nature and extent of drainage network dynamics is lacking. The implications of this phenomenon extend far beyond hydrology and involve key ecological and biogeochemical function of riparian corridors. The proposed research project will move beyond the traditional paradigm of static river networks by unravelling, for the first time, physical causes and biogeochemical consequences of stream dynamics. In particular, the project will undertake the following overarching scientific questions: 1) what are the climatic and geomorphic controls on the expansion/contraction of river networks? 2) what is the length of temporary streams and what is their impact on catchment-scale biogeochemical processes and stream water quality across scales? These challenging issues will be addressed by developing a novel theoretical framework complemented by extensive field observations within four representative sites along a climatic gradient in the EU. Field measurements will include long-term weekly mapping of the active drainage network and daily hydro-chemical data across scales. The experimental dataset will be used to develop and inform a set of innovative modelling tools, including an analytical framework for the description of spatially explicit hydrologic dynamics driven by stochastic rainfall and a modular hydro-chemical model based on the concept of water age, able to account for the variable connectivity among soil, groundwater and channels as induced by stream network dynamics. The project will open new avenues to quantify freshwater carbon emissions - crucially dependent on the extent of ephemeral streams - and it will provide a robust basis to identify temporary rivers and maintain their biogeochemical function in times of global change.
Summary
Despite the ubiquity of expansion and retraction dynamics of flowing streams, the large majority of biogeochemical and hydrological studies conceive river networks as static elements of the landscape, and a coherent framework to quantify nature and extent of drainage network dynamics is lacking. The implications of this phenomenon extend far beyond hydrology and involve key ecological and biogeochemical function of riparian corridors. The proposed research project will move beyond the traditional paradigm of static river networks by unravelling, for the first time, physical causes and biogeochemical consequences of stream dynamics. In particular, the project will undertake the following overarching scientific questions: 1) what are the climatic and geomorphic controls on the expansion/contraction of river networks? 2) what is the length of temporary streams and what is their impact on catchment-scale biogeochemical processes and stream water quality across scales? These challenging issues will be addressed by developing a novel theoretical framework complemented by extensive field observations within four representative sites along a climatic gradient in the EU. Field measurements will include long-term weekly mapping of the active drainage network and daily hydro-chemical data across scales. The experimental dataset will be used to develop and inform a set of innovative modelling tools, including an analytical framework for the description of spatially explicit hydrologic dynamics driven by stochastic rainfall and a modular hydro-chemical model based on the concept of water age, able to account for the variable connectivity among soil, groundwater and channels as induced by stream network dynamics. The project will open new avenues to quantify freshwater carbon emissions - crucially dependent on the extent of ephemeral streams - and it will provide a robust basis to identify temporary rivers and maintain their biogeochemical function in times of global change.
Max ERC Funding
1 999 758 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym E-DESIGN
Project Artificial designer materials
Researcher (PI) Peter LILJEROTH
Host Institution (HI) AALTO KORKEAKOULUSAATIO SR
Call Details Advanced Grant (AdG), PE3, ERC-2017-ADG
Summary Constructing designer materials where the atomic geometry, interactions, magnetism and other relevant parameters can be precisely controlled is becoming reality. I will reach this aim by positioning every atom with the tip of a scanning probe microscope, or by using molecular self-assembly to reach the desired structures. I will realize and engineer several novel quantum materials hosting exotic electronic phases: 2D topological insulators in metal-organic frameworks (MOF) and 2D topological superconductors in hybrid molecule-superconductor structures. These classes of materials have not yet been experimentally realized but could enable novel spintronic and quantum computing devices. In addition, we will realize a tuneable platform for quantum simulation in solid-state artificial lattices, which could open a whole new area in this field.
I will employ a broad experimental approach to reach the above targets by utilizing molecular self-assembly and scanning probe microscopy -based atom/molecule manipulation. The systems are characterized using low-temperature atomic force microscopy (AFM) and scanning tunneling microscopy (STM). My group is one of the leading groups in these topics globally. We have initial results on the topics discussed in this proposal and are thus in a unique position to make ground-breaking contributions in realizing designer quantum materials.
The artificial designer materials we study are characterized by the engineered electronic response with atomically precise geometries, lattice symmetries and controlled interactions. Such ingredients can result in ultimately controllable materials that have large, robust and quick responses to small stimuli with applications in nanoelectronics, flexible electronics, high-selectivity and high-sensitivity sensors, and optoelectronic components. Longer term, the biggest impact is expected through a profound change in the way we view materials and what can be achieved through designer materials approach.
Summary
Constructing designer materials where the atomic geometry, interactions, magnetism and other relevant parameters can be precisely controlled is becoming reality. I will reach this aim by positioning every atom with the tip of a scanning probe microscope, or by using molecular self-assembly to reach the desired structures. I will realize and engineer several novel quantum materials hosting exotic electronic phases: 2D topological insulators in metal-organic frameworks (MOF) and 2D topological superconductors in hybrid molecule-superconductor structures. These classes of materials have not yet been experimentally realized but could enable novel spintronic and quantum computing devices. In addition, we will realize a tuneable platform for quantum simulation in solid-state artificial lattices, which could open a whole new area in this field.
I will employ a broad experimental approach to reach the above targets by utilizing molecular self-assembly and scanning probe microscopy -based atom/molecule manipulation. The systems are characterized using low-temperature atomic force microscopy (AFM) and scanning tunneling microscopy (STM). My group is one of the leading groups in these topics globally. We have initial results on the topics discussed in this proposal and are thus in a unique position to make ground-breaking contributions in realizing designer quantum materials.
The artificial designer materials we study are characterized by the engineered electronic response with atomically precise geometries, lattice symmetries and controlled interactions. Such ingredients can result in ultimately controllable materials that have large, robust and quick responses to small stimuli with applications in nanoelectronics, flexible electronics, high-selectivity and high-sensitivity sensors, and optoelectronic components. Longer term, the biggest impact is expected through a profound change in the way we view materials and what can be achieved through designer materials approach.
Max ERC Funding
2 374 922 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym E-DUALITY
Project Exploring Duality for Future Data-driven Modelling
Researcher (PI) Johan SUYKENS
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Advanced Grant (AdG), PE7, ERC-2017-ADG
Summary Future data-driven modelling is increasingly challenging for many systems due to higher complexity levels, such as in energy systems, environmental and climate modelling, traffic and transport, industrial processes, health, safety, and others. This requires powerful concepts and frameworks that enable the design of high quality predictive models. In this proposal E-DUALITY we will explore and engineer the potential of duality principles for future data-driven modelling. An existing example illustrating the important role of duality in this context is support vector machines, which possess primal and dual model representations, in terms of feature maps and kernels, respectively. Within this project, besides using existing notions of duality that are relevant for data-driven modelling (e.g. Lagrange duality, Legendre-Fenchel duality, Monge-Kantorovich duality), we will also explore new ones. Duality principles will be employed for obtaining a generically applicable framework with unifying insights, handling different system complexity levels, optimal model representations and designing efficient algorithms. This will require taking an integrative approach across different research fields. The new framework should be able to include e.g. multi-view and multiple function learning, multiplex and multilayer networks, tensor models, multi-scale and deep architectures as particular instances and to combine several of such characteristics, in addition to simple basic schemes. It will include both parametric and kernel-based approaches for tasks as regression, classification, clustering, dimensionality reduction, outlier detection and dynamical systems modelling. Higher risk elements are the search for new standard forms in modelling systems with different complexity levels, matching models and representations to system characteristics, and developing algorithms for large scale applications within this powerful new framework.
Summary
Future data-driven modelling is increasingly challenging for many systems due to higher complexity levels, such as in energy systems, environmental and climate modelling, traffic and transport, industrial processes, health, safety, and others. This requires powerful concepts and frameworks that enable the design of high quality predictive models. In this proposal E-DUALITY we will explore and engineer the potential of duality principles for future data-driven modelling. An existing example illustrating the important role of duality in this context is support vector machines, which possess primal and dual model representations, in terms of feature maps and kernels, respectively. Within this project, besides using existing notions of duality that are relevant for data-driven modelling (e.g. Lagrange duality, Legendre-Fenchel duality, Monge-Kantorovich duality), we will also explore new ones. Duality principles will be employed for obtaining a generically applicable framework with unifying insights, handling different system complexity levels, optimal model representations and designing efficient algorithms. This will require taking an integrative approach across different research fields. The new framework should be able to include e.g. multi-view and multiple function learning, multiplex and multilayer networks, tensor models, multi-scale and deep architectures as particular instances and to combine several of such characteristics, in addition to simple basic schemes. It will include both parametric and kernel-based approaches for tasks as regression, classification, clustering, dimensionality reduction, outlier detection and dynamical systems modelling. Higher risk elements are the search for new standard forms in modelling systems with different complexity levels, matching models and representations to system characteristics, and developing algorithms for large scale applications within this powerful new framework.
Max ERC Funding
2 492 500 €
Duration
Start date: 2018-10-01, End date: 2023-09-30
Project acronym eHONESTY
Project Embodied Honesty in Real World and Digital Interactions
Researcher (PI) Salvatore Maria AGLIOTI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Call Details Advanced Grant (AdG), SH4, ERC-2017-ADG
Summary Every day, everywhere, people make unethical choices ranging from minor selfish lies to massive frauds, with dramatic individual and societal costs.
Embodied cognition theories posit that even seemingly abstract processes (like grammar) may be biased by the body-related signals used for building and maintaining self-consciousness, the fundamental experience of owning a body (ownership) and being the author of an action (agency), that is at the basis of self-other distinction.
Applying this framework to morality, we hypothesize that strengthening or weakening participants’ bodily self-consciousness towards virtual avatars or real others will influence dishonesty in real, virtual, and web-based interactions.
To test this hypothesis, we will measure:
i) individual dishonesty after modifying body ownership (e.g., by changing the appearance of the virtual body) and agency (e.g., by changing the temporal synchrony between participant’s and avatar’s actions) over an avatar through which decisions are made;
ii) intergroup dishonesty after inducing inter-individual sharing of body self-consciousness (e.g., blur self-other distinction via facial visuo-tactile stimulation);
iii) individual and intergroup dishonesty by manipulating exteroceptive (e.g., the external features of a virtual body) or interoceptive (e.g., changing the degree of synchronicity between participant’s and avatar/real person’s breathing rhythm) bodily inputs.
Dishonesty will be assessed through novel ecological tasks based on virtual reality and web-based interactions. Behavioural (e.g., subjective reports, kinematics), autonomic (e.g., heartbeat, thermal imaging) and brain (e.g., EEG, TMS, lesion analyses) measures of dishonesty will be recorded in healthy and clinical populations.
Our person-based, embodied approach to dishonesty complements cross-cultural, large-scale, societal investigations and may inspire new strategies for contrasting dishonesty and other unethical behaviours.
Summary
Every day, everywhere, people make unethical choices ranging from minor selfish lies to massive frauds, with dramatic individual and societal costs.
Embodied cognition theories posit that even seemingly abstract processes (like grammar) may be biased by the body-related signals used for building and maintaining self-consciousness, the fundamental experience of owning a body (ownership) and being the author of an action (agency), that is at the basis of self-other distinction.
Applying this framework to morality, we hypothesize that strengthening or weakening participants’ bodily self-consciousness towards virtual avatars or real others will influence dishonesty in real, virtual, and web-based interactions.
To test this hypothesis, we will measure:
i) individual dishonesty after modifying body ownership (e.g., by changing the appearance of the virtual body) and agency (e.g., by changing the temporal synchrony between participant’s and avatar’s actions) over an avatar through which decisions are made;
ii) intergroup dishonesty after inducing inter-individual sharing of body self-consciousness (e.g., blur self-other distinction via facial visuo-tactile stimulation);
iii) individual and intergroup dishonesty by manipulating exteroceptive (e.g., the external features of a virtual body) or interoceptive (e.g., changing the degree of synchronicity between participant’s and avatar/real person’s breathing rhythm) bodily inputs.
Dishonesty will be assessed through novel ecological tasks based on virtual reality and web-based interactions. Behavioural (e.g., subjective reports, kinematics), autonomic (e.g., heartbeat, thermal imaging) and brain (e.g., EEG, TMS, lesion analyses) measures of dishonesty will be recorded in healthy and clinical populations.
Our person-based, embodied approach to dishonesty complements cross-cultural, large-scale, societal investigations and may inspire new strategies for contrasting dishonesty and other unethical behaviours.
Max ERC Funding
2 497 188 €
Duration
Start date: 2018-11-01, End date: 2023-10-31
Project acronym ElecOpteR
Project Electro-optical polariton router
Researcher (PI) Daniele SANVITTO
Host Institution (HI) CONSIGLIO NAZIONALE DELLE RICERCHE
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary In this proposal we plan to bring to a development stage TRL 3 an electro-optical device working at room temperature and based on polaritons (an hybrid photon-exciton particle) made of 2D perovskites and of an optical surface mode in a Distributed Bragg Reflector waveguide. Such a device could lead to extremely compact and ultrafast electro-optical modulators that can be fully integrated in a microchip to allow for fast signal communications between each peripheral component of a processor. As a matter of fact one of the major bottlenecks in processing speed is caused by retardations and dissipations in the interconnections between the CPU and the memory elements as well as other interconnect functions. Conversion of the electrical signal into an optical one can allow for faster and more efficient processing. Our prototype can allow for switching and routing of guided optical beams via electrical signals using the intrinsic nonlinearities of the hybrid photon-exciton states.
Summary
In this proposal we plan to bring to a development stage TRL 3 an electro-optical device working at room temperature and based on polaritons (an hybrid photon-exciton particle) made of 2D perovskites and of an optical surface mode in a Distributed Bragg Reflector waveguide. Such a device could lead to extremely compact and ultrafast electro-optical modulators that can be fully integrated in a microchip to allow for fast signal communications between each peripheral component of a processor. As a matter of fact one of the major bottlenecks in processing speed is caused by retardations and dissipations in the interconnections between the CPU and the memory elements as well as other interconnect functions. Conversion of the electrical signal into an optical one can allow for faster and more efficient processing. Our prototype can allow for switching and routing of guided optical beams via electrical signals using the intrinsic nonlinearities of the hybrid photon-exciton states.
Max ERC Funding
149 406 €
Duration
Start date: 2017-10-01, End date: 2019-03-31
Project acronym ELECTRIC
Project Chip Scale Electrically Powered Optical Frequency Combs
Researcher (PI) Bart Johan KUYKEN
Host Institution (HI) UNIVERSITEIT GENT
Call Details Starting Grant (StG), PE7, ERC-2017-STG
Summary In ELECTRIC, I will integrate electrically powered optical frequency combs on mass manufacturable silicon chips. This will allow for making use of all the advantageous properties of these light sources in real-life situations.
Optical frequency combs are light sources with a spectrum consisting of millions of laser lines, equally spaced in frequency. This equifrequency spacing provides a link between the radio frequency band and the optical frequency band of the electromagnetic spectrum. This property has literally revolutionized the field of frequency metrology and precision laser spectroscopy. Recently, their application field has been extended. Amongst others, their unique properties have been exploited in precision distant measurement experiments as well as optical waveform and microwave synthesis demonstrators. Moreover, so called “dual-comb spectroscopy” experiments have demonstrated broadband Fourier Transform Infrared spectroscopy with ultra-high resolution and record acquisition speeds. However, most of these demonstrations required large bulky experimental setups which hampers wide deployment.
I will build frequency combs on optical chips that can be mass-manufactured. Unlike the current chip scale Kerr comb based solutions they do not need to be optically pumped with a powerful continuous wave laser and can have a narrower comb spacing. The challenge here is two-fold. First, we need to make electrically powered integrated low noise oscillators. Second, we need to lower the threshold of current on-chip nonlinear optical interactions by an order of magnitude to use them in on-chip OFC generators.
Specifically I will achieve this goal by:
• Making use of ultra-efficient nonlinear optical interactions based on soliton compression in dispersion engineered III-V waveguides and plasmonic enhanced second order nonlinear materials.
• Enhance the performance of ultra-low noise silicon nitride mode locked lasers with these nonlinear components.
Summary
In ELECTRIC, I will integrate electrically powered optical frequency combs on mass manufacturable silicon chips. This will allow for making use of all the advantageous properties of these light sources in real-life situations.
Optical frequency combs are light sources with a spectrum consisting of millions of laser lines, equally spaced in frequency. This equifrequency spacing provides a link between the radio frequency band and the optical frequency band of the electromagnetic spectrum. This property has literally revolutionized the field of frequency metrology and precision laser spectroscopy. Recently, their application field has been extended. Amongst others, their unique properties have been exploited in precision distant measurement experiments as well as optical waveform and microwave synthesis demonstrators. Moreover, so called “dual-comb spectroscopy” experiments have demonstrated broadband Fourier Transform Infrared spectroscopy with ultra-high resolution and record acquisition speeds. However, most of these demonstrations required large bulky experimental setups which hampers wide deployment.
I will build frequency combs on optical chips that can be mass-manufactured. Unlike the current chip scale Kerr comb based solutions they do not need to be optically pumped with a powerful continuous wave laser and can have a narrower comb spacing. The challenge here is two-fold. First, we need to make electrically powered integrated low noise oscillators. Second, we need to lower the threshold of current on-chip nonlinear optical interactions by an order of magnitude to use them in on-chip OFC generators.
Specifically I will achieve this goal by:
• Making use of ultra-efficient nonlinear optical interactions based on soliton compression in dispersion engineered III-V waveguides and plasmonic enhanced second order nonlinear materials.
• Enhance the performance of ultra-low noise silicon nitride mode locked lasers with these nonlinear components.
Max ERC Funding
1 391 250 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym ENERGYA
Project ENERGY use for Adaptation
Researcher (PI) Enrica DE CIAN
Host Institution (HI) UNIVERSITA CA' FOSCARI VENEZIA
Call Details Starting Grant (StG), SH2, ERC-2017-STG
Summary ENERGYA will improve our understanding of how energy and energy services can be used by households and industries to adapt to the risk posed by climate change. Specifically, the project will develop an interdisciplinary and scalable research framework integrating data and methods from economics with geography, climate science, and integrated assessment modelling to provide new knowledge concerning heterogeneity in energy use across countries, sectors, socioeconomic conditions and income groups, and assess the broad implications adaptation-driven energy use can have on the economy, the environment, and welfare.
The key novelty of ENERGYA is to link energy statistics and energy survey data with high spatial resolution data from climate science and remote sensing, including high-resolution spatial data on meteorology, population and economic activity distribution, electrification, and the built environment.
ENERGYA has three main objectives. First, it will produce novel statistical and econometric analyses for OECD and major emerging countries (Brazil, Mexico, India, and Indonesia) to shed light on the underlying mechanisms driving energy use. Second, it will infer future potential impacts from long-run climate and socioeconomic changes building on historical empirical evidence. Third, it will analyse the macro and distributional implications of adaptation-driven energy use with an economy-energy model characterising the distribution of energy use dynamics across and within countries.
Given the central role of energy as multiplier for socioeconomic development and as enabling condition for climate resilience, the research proposed in ENERGYA will result in timely insights for the transition towards sustainability described by the Sustainable Development Goals adopted by the United Nations as well as the Paris International Climate Agreement.
Summary
ENERGYA will improve our understanding of how energy and energy services can be used by households and industries to adapt to the risk posed by climate change. Specifically, the project will develop an interdisciplinary and scalable research framework integrating data and methods from economics with geography, climate science, and integrated assessment modelling to provide new knowledge concerning heterogeneity in energy use across countries, sectors, socioeconomic conditions and income groups, and assess the broad implications adaptation-driven energy use can have on the economy, the environment, and welfare.
The key novelty of ENERGYA is to link energy statistics and energy survey data with high spatial resolution data from climate science and remote sensing, including high-resolution spatial data on meteorology, population and economic activity distribution, electrification, and the built environment.
ENERGYA has three main objectives. First, it will produce novel statistical and econometric analyses for OECD and major emerging countries (Brazil, Mexico, India, and Indonesia) to shed light on the underlying mechanisms driving energy use. Second, it will infer future potential impacts from long-run climate and socioeconomic changes building on historical empirical evidence. Third, it will analyse the macro and distributional implications of adaptation-driven energy use with an economy-energy model characterising the distribution of energy use dynamics across and within countries.
Given the central role of energy as multiplier for socioeconomic development and as enabling condition for climate resilience, the research proposed in ENERGYA will result in timely insights for the transition towards sustainability described by the Sustainable Development Goals adopted by the United Nations as well as the Paris International Climate Agreement.
Max ERC Funding
1 495 000 €
Duration
Start date: 2018-03-01, End date: 2023-02-28
Project acronym EpComp
Project Competence and Success in Epistemology and Beyond
Researcher (PI) Maria LASONEN-AARNIO
Host Institution (HI) HELSINGIN YLIOPISTO
Call Details Starting Grant (StG), SH4, ERC-2017-STG
Summary This project formulates and defends a novel approach in epistemology, demonstrating how it solves a range of key problems in the field. New frontiers of research are opened up by applying the core lessons learnt in epistemology to the study of practical reason and ethics.
My dual evaluations approach hypothesizes that for a wide range of key evaluative notions, competence is neither necessary nor sufficient for success: there are both cases of incompetent success and of competent failure. For instance, a subject can know without exercising knowledge-conducive competence, and vice versa – and similarly for justified or rational belief. The project demonstrates how this recognition solves a cluster of key problems in the field relating to so-called higher-order evidence, and how it allows accommodating internalist evaluations in more externalist frameworks, thus bridging perhaps the most significant divide in epistemology.
What will emerge is a thorough re-structuring of the epistemological landscape. The project generalizes some of the lessons learnt to the study of structural requirements of rationality. Finally, the approach is deployed to investigate the relationship between morally right and morally worthy action. The main objectives of the project are:
(O1) To develop the theoretical foundations of the dual evaluations approach.
(O2) To put forth a novel view in epistemology that demonstrates how recognizing both cases of competent failure and incompetent success solves highly current problems and puzzles, reconciling two opposing theoretical starting points.
(O3) To investigate and ultimately reject as theoretically important the notion of structural rationality, offering an alternative, competence-based explanation of verdicts that seem to show the need for such a notion.
(O4) To explore generalizations of the results of the previous parts of the project to the practical and moral domains.
Summary
This project formulates and defends a novel approach in epistemology, demonstrating how it solves a range of key problems in the field. New frontiers of research are opened up by applying the core lessons learnt in epistemology to the study of practical reason and ethics.
My dual evaluations approach hypothesizes that for a wide range of key evaluative notions, competence is neither necessary nor sufficient for success: there are both cases of incompetent success and of competent failure. For instance, a subject can know without exercising knowledge-conducive competence, and vice versa – and similarly for justified or rational belief. The project demonstrates how this recognition solves a cluster of key problems in the field relating to so-called higher-order evidence, and how it allows accommodating internalist evaluations in more externalist frameworks, thus bridging perhaps the most significant divide in epistemology.
What will emerge is a thorough re-structuring of the epistemological landscape. The project generalizes some of the lessons learnt to the study of structural requirements of rationality. Finally, the approach is deployed to investigate the relationship between morally right and morally worthy action. The main objectives of the project are:
(O1) To develop the theoretical foundations of the dual evaluations approach.
(O2) To put forth a novel view in epistemology that demonstrates how recognizing both cases of competent failure and incompetent success solves highly current problems and puzzles, reconciling two opposing theoretical starting points.
(O3) To investigate and ultimately reject as theoretically important the notion of structural rationality, offering an alternative, competence-based explanation of verdicts that seem to show the need for such a notion.
(O4) To explore generalizations of the results of the previous parts of the project to the practical and moral domains.
Max ERC Funding
1 470 665 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym ERACHRON
Project Eradicating Chronic Infections
Researcher (PI) Sara SATTIN
Host Institution (HI) UNIVERSITA DEGLI STUDI DI MILANO
Call Details Starting Grant (StG), PE5, ERC-2017-STG
Summary "Given the alarming progression of chronic and relapsing infections in the last decades, and the even more alarming predictions for the upcoming years, it is urgent for chemists to be able to provide new molecular tools to study, and ultimately solve, these complex biological problems. Bacterial persisters are an elusive ""dormant"" phenotype that play a pivotal role in chronic infections, with mechanisms that remain to be fully unravelled. Current knowledge suggests that bacterial persisters are not genetically resistant to antibiotic treatment; they simply appear to shut down through a cascade of biochemical events called the stringent response (SR), becoming insensitive to current drugs. This subpopulation remains unaffected during the time of pharmacological treatment and represents a reservoir that sustains pathogen survival and resurgence. The goal of this project is to fill the knowledge gap between persisters formation and infection eradication, providing the community with potent and selective small molecular tools that can be used to challenge complementary survival mechanisms.
I will adopt a combined approach targeting a specific cellular trigger of the persister phenotype with small molecules designed ad hoc in order to switch it off. The target is a bacterial protein involved in the SR cascade, whose activity is proposed to be allosterically regulated. Coordination propensity analysis of the dynamic behaviour of the target will highlight regulation sites exploitable to modulate and control the protein activity. Structure-based design, virtual fragment screening and chemical synthesis will operate in synergy. Experimental screening methodologies intrinsically rich in structural information, such as those based on NMR spectroscopy, will be privileged.
The overarching goal is to identify molecules able to prevent the insurgence of the ""dormant"" drug-tolerant state and, possibly, revert the persisters already present to the ""awake"" drug-sensitive phenotype.
"
Summary
"Given the alarming progression of chronic and relapsing infections in the last decades, and the even more alarming predictions for the upcoming years, it is urgent for chemists to be able to provide new molecular tools to study, and ultimately solve, these complex biological problems. Bacterial persisters are an elusive ""dormant"" phenotype that play a pivotal role in chronic infections, with mechanisms that remain to be fully unravelled. Current knowledge suggests that bacterial persisters are not genetically resistant to antibiotic treatment; they simply appear to shut down through a cascade of biochemical events called the stringent response (SR), becoming insensitive to current drugs. This subpopulation remains unaffected during the time of pharmacological treatment and represents a reservoir that sustains pathogen survival and resurgence. The goal of this project is to fill the knowledge gap between persisters formation and infection eradication, providing the community with potent and selective small molecular tools that can be used to challenge complementary survival mechanisms.
I will adopt a combined approach targeting a specific cellular trigger of the persister phenotype with small molecules designed ad hoc in order to switch it off. The target is a bacterial protein involved in the SR cascade, whose activity is proposed to be allosterically regulated. Coordination propensity analysis of the dynamic behaviour of the target will highlight regulation sites exploitable to modulate and control the protein activity. Structure-based design, virtual fragment screening and chemical synthesis will operate in synergy. Experimental screening methodologies intrinsically rich in structural information, such as those based on NMR spectroscopy, will be privileged.
The overarching goal is to identify molecules able to prevent the insurgence of the ""dormant"" drug-tolerant state and, possibly, revert the persisters already present to the ""awake"" drug-sensitive phenotype.
"
Max ERC Funding
1 500 000 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym ESEARCH
Project Direct Empirical Evidence on Labor Market Search Theories
Researcher (PI) Thomas LE BARBANCHON
Host Institution (HI) UNIVERSITA COMMERCIALE LUIGI BOCCONI
Call Details Starting Grant (StG), SH1, ERC-2017-STG
Summary Our project proposes to provide new empirical evidence on the search strategies of both job seekers and of recruiters in the labor market. This evidence will enhance our understanding of the information asymmetries at the root of search frictions.
We will leverage the extraordinary opportunities offered by online job boards, which record search activities in details. We will match for the first time these data with administrative data from unemployment-employment registers. This will enable us to jointly observe search activity and core economic outcomes (wage, job duration) on very large samples.
We will design randomized controlled trials, where we recommend new matches to both job seekers and recruiters. This will test for the extent of geographical and skill mismatch in the labor market. We will further test the assumptions of directed search models by displaying to job seekers the real-time length of the queue in front of vacancies. Finally, we will use new item-to-item collaborative filtering algorithms (amazon-type recommendations) to quantify the social value of the private information that job seekers gather when they screen vacancies.
Using quasi-experimental research designs, we will provide the first precise estimates of the direct and cross effects of search subsidies - unemployment insurance and reduction in vacancy advertising costs - on the search strategies of both sides of the market. We will then test the empirical relevance of behavioral mechanisms, such as reference-dependence or over-optimism.
We expect our direct empirical evidence on search strategies to trigger new developments in search theories. Our results will guide policy-makers who design job boards and search subsidies to both recruiters and job seekers. We hope that the social impact of our research will be to reduce frictional unemployment and to increase the productivity of workers through a reduction of mismatch in the labor market.
Summary
Our project proposes to provide new empirical evidence on the search strategies of both job seekers and of recruiters in the labor market. This evidence will enhance our understanding of the information asymmetries at the root of search frictions.
We will leverage the extraordinary opportunities offered by online job boards, which record search activities in details. We will match for the first time these data with administrative data from unemployment-employment registers. This will enable us to jointly observe search activity and core economic outcomes (wage, job duration) on very large samples.
We will design randomized controlled trials, where we recommend new matches to both job seekers and recruiters. This will test for the extent of geographical and skill mismatch in the labor market. We will further test the assumptions of directed search models by displaying to job seekers the real-time length of the queue in front of vacancies. Finally, we will use new item-to-item collaborative filtering algorithms (amazon-type recommendations) to quantify the social value of the private information that job seekers gather when they screen vacancies.
Using quasi-experimental research designs, we will provide the first precise estimates of the direct and cross effects of search subsidies - unemployment insurance and reduction in vacancy advertising costs - on the search strategies of both sides of the market. We will then test the empirical relevance of behavioral mechanisms, such as reference-dependence or over-optimism.
We expect our direct empirical evidence on search strategies to trigger new developments in search theories. Our results will guide policy-makers who design job boards and search subsidies to both recruiters and job seekers. We hope that the social impact of our research will be to reduce frictional unemployment and to increase the productivity of workers through a reduction of mismatch in the labor market.
Max ERC Funding
1 250 250 €
Duration
Start date: 2018-04-01, End date: 2023-03-31
Project acronym EUGenDem
Project Gender, party politics and democracy in Europe: A study of European Parliament's party groups
Researcher (PI) Johanna KANTOLA
Host Institution (HI) TAMPEREEN KORKEAKOULUSAATIO SR
Call Details Consolidator Grant (CoG), SH2, ERC-2017-COG
Summary Given the crucial importance of European Parliament’s party groups to democratic representation in the European Union, it is surprising that there is limited empirical and theoretical understanding that relates to how they conceive of gender, gender hierarchies and gendered relations, or how they seek to address gender inequalities. Nor do we know what the conditions are for increasing a gender equal democracy in the EU in the face of the current political context shaped by political crises. This project aims to provide a systematic analysis of the gendered policies and practices of European party politics. The research comprises a comparative study of the eight European Parliament (EP) party groups and generates empirical findings about the significance of gender in the current party political transformations in Europe.
Further potential lies in the key methodological innovation whereby the proposed project links informal institutions and discourses to affects and emotions, generating research designs with which the persistence of gender inequalities can be analysed more thoroughly than current gender and politics research allows. More nuanced conceptualizations, and theories about inclusive representation, gender justice and democracy at the transnational level, are a likely consequence of adopting an innovative methodological approach where empirical findings inform the theoretical level. Therefore, the project may have a high societal impact as it speaks directly to the current political crises in Europe, and provides an understanding of their gendered underpinnings.
Thus, the key ambition of this research project is: based on a thorough empirical understanding of gender and party politics at the European Parliament to build novel methodologies, concepts and theories about inclusive representation, gender justice and democracy.
Summary
Given the crucial importance of European Parliament’s party groups to democratic representation in the European Union, it is surprising that there is limited empirical and theoretical understanding that relates to how they conceive of gender, gender hierarchies and gendered relations, or how they seek to address gender inequalities. Nor do we know what the conditions are for increasing a gender equal democracy in the EU in the face of the current political context shaped by political crises. This project aims to provide a systematic analysis of the gendered policies and practices of European party politics. The research comprises a comparative study of the eight European Parliament (EP) party groups and generates empirical findings about the significance of gender in the current party political transformations in Europe.
Further potential lies in the key methodological innovation whereby the proposed project links informal institutions and discourses to affects and emotions, generating research designs with which the persistence of gender inequalities can be analysed more thoroughly than current gender and politics research allows. More nuanced conceptualizations, and theories about inclusive representation, gender justice and democracy at the transnational level, are a likely consequence of adopting an innovative methodological approach where empirical findings inform the theoretical level. Therefore, the project may have a high societal impact as it speaks directly to the current political crises in Europe, and provides an understanding of their gendered underpinnings.
Thus, the key ambition of this research project is: based on a thorough empirical understanding of gender and party politics at the European Parliament to build novel methodologies, concepts and theories about inclusive representation, gender justice and democracy.
Max ERC Funding
1 976 482 €
Duration
Start date: 2018-08-01, End date: 2023-07-31
Project acronym EUSOL
Project Solidarity in the European Union
Researcher (PI) Andrea SANGIOVANNI VINCENTELLI
Host Institution (HI) EUROPEAN UNIVERSITY INSTITUTE
Call Details Consolidator Grant (CoG), SH2, ERC-2017-COG
Summary What principles of socioeconomic justice, if any, should apply to the European Union? Do European citizens have obligations of social justice that cross the borders of member states? If so, what are their grounds? I propose to answer these questions by providing a normative account of one of the fundamental values underpinning European integration, namely solidarity. The project has two main aims. The first is to develop a normative model of inter-, trans-, and supra-national solidarity that is responsive to the specific circumstances and history of the European Union (EUSOL1). The second aim is to apply this model to a number of central issues dividing the EU, including the free movement of persons, burden-sharing within the EU’s refugee policy, inter-state transfers, and enlargement and accession (EUSOL2). The project breaks new ground in normative debates on the nature and development of the EU, international/global justice, and the role of facts in normative political theory, and addresses some of the most pressing issues facing the EU today.
Summary
What principles of socioeconomic justice, if any, should apply to the European Union? Do European citizens have obligations of social justice that cross the borders of member states? If so, what are their grounds? I propose to answer these questions by providing a normative account of one of the fundamental values underpinning European integration, namely solidarity. The project has two main aims. The first is to develop a normative model of inter-, trans-, and supra-national solidarity that is responsive to the specific circumstances and history of the European Union (EUSOL1). The second aim is to apply this model to a number of central issues dividing the EU, including the free movement of persons, burden-sharing within the EU’s refugee policy, inter-state transfers, and enlargement and accession (EUSOL2). The project breaks new ground in normative debates on the nature and development of the EU, international/global justice, and the role of facts in normative political theory, and addresses some of the most pressing issues facing the EU today.
Max ERC Funding
1 013 604 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym EVWRIT
Project Everyday Writing in Graeco-Roman and Late Antique Egypt (I - VIII AD). A Socio-Semiotic Study of Communicative Variation
Researcher (PI) Klaas BENTEIN
Host Institution (HI) UNIVERSITEIT GENT
Call Details Starting Grant (StG), SH5, ERC-2017-STG
Summary This five-year project aims to generate a paradigm shift in the understanding of Graeco-Roman and Late Antique communication. Non-literary, ‘documentary’ texts from Ancient Egypt such as letters, petitions and contracts have provided and continue to provide a key witness for our knowledge of the administration, education, economy, etc. of Ancient Egypt. This project argues that since documentary texts represent originals, their external characteristics should also be brought into the interpretation: elements such as handwriting, linguistic register or writing material transmit indirect social messages concerning hierarchy, status, and power relations, and can therefore be considered ‘semiotic resources’. The project’s driving hypothesis is that communicative variation – variation that is functionally insignificant but socially significant (e.g. there are ~ there’s ~ it’s a lot of people) – enables the expression of social meaning. The main aim of this project is to analyse the nature of this communicative variation. To this end, a multidisciplinary team of six researchers (one PI, one post-doc, and four PhD’s) will apply recent insights form socio-semiotic and socio-linguistic theory to a corpus of Graeco-Roman and Late Antique documentary texts (I – VIII AD) by means of a three-level approach: (i) an open-access database of annotated documentary texts will be created; (ii) the ‘semiotic potential’ of the different semiotic resources that play a role in documentary writing will be analysed; (iii) the interrelationships between the different semiotic resources will be studied. The project will have a significant scientific impact: (i) it will be the first to offer a holistic perspective towards the ‘meaning’ of documentary texts; (ii) the digital tool will open up new ways to investigate Ancient texts; (iii) it will make an important contribution to current socio-semiotic and socio-linguistic research; (iv) it will provide new insights about humans as social beings.
Summary
This five-year project aims to generate a paradigm shift in the understanding of Graeco-Roman and Late Antique communication. Non-literary, ‘documentary’ texts from Ancient Egypt such as letters, petitions and contracts have provided and continue to provide a key witness for our knowledge of the administration, education, economy, etc. of Ancient Egypt. This project argues that since documentary texts represent originals, their external characteristics should also be brought into the interpretation: elements such as handwriting, linguistic register or writing material transmit indirect social messages concerning hierarchy, status, and power relations, and can therefore be considered ‘semiotic resources’. The project’s driving hypothesis is that communicative variation – variation that is functionally insignificant but socially significant (e.g. there are ~ there’s ~ it’s a lot of people) – enables the expression of social meaning. The main aim of this project is to analyse the nature of this communicative variation. To this end, a multidisciplinary team of six researchers (one PI, one post-doc, and four PhD’s) will apply recent insights form socio-semiotic and socio-linguistic theory to a corpus of Graeco-Roman and Late Antique documentary texts (I – VIII AD) by means of a three-level approach: (i) an open-access database of annotated documentary texts will be created; (ii) the ‘semiotic potential’ of the different semiotic resources that play a role in documentary writing will be analysed; (iii) the interrelationships between the different semiotic resources will be studied. The project will have a significant scientific impact: (i) it will be the first to offer a holistic perspective towards the ‘meaning’ of documentary texts; (ii) the digital tool will open up new ways to investigate Ancient texts; (iii) it will make an important contribution to current socio-semiotic and socio-linguistic research; (iv) it will provide new insights about humans as social beings.
Max ERC Funding
1 476 250 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym FitteR-CATABOLIC
Project Survival of the Fittest: On how to enhance recovery from critical illness through learning from evolutionary conserved catabolic pathways
Researcher (PI) Greta Herman VAN DEN BERGHE
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Advanced Grant (AdG), LS7, ERC-2017-ADG
Summary Since a few decades, human patients who suffer from severe illnesses or multiple trauma, conditions that were previously lethal, are being treated in intensive care units (ICUs). Modern intensive care medicine bridges patients from life-threatening conditions to recovery with use of mechanical devices, vasoactive drugs and powerful anti-microbial agents. By postponing death, a new unnatural condition, intensive-care-dependent prolonged (>1 week) critical illness, has been created. About 25% of ICU patients today require prolonged intensive care, sometimes for weeks or months, and these patients are at high risk of death while consuming 75% of resources. Although the primary insult was adequately dealt with, many long-stay patients typically suffer from hypercatabolism, ICU-acquired brain dysfunction and polyneuropathy/myopathy leading to severe muscle weakness, further increasing the risk of late death. As hypercatabolism was considered the culprit, several anabolic interventions were tested, but these showed harm instead of benefit. We previously showed that fasting early during illness is superior to forceful feeding, pointing to certain benefits of catabolic responses. In healthy humans, fasting activates catabolism to provide substrates essential to protect and maintain brain and muscle function. This proposal aims to investigate whether evolutionary conserved catabolic fasting pathways, specifically lipolysis and ketogenesis, can be exploited in the search for prevention of brain dysfunction and muscle weakness in long-stay ICU patients, with the goal to identify a new metabolic intervention to enhance their recovery. The project builds further on our experience with bi-directional translational research - using human material whenever possible and a validated mouse model of sepsis-induced critical illness for objectives that cannot be addressed in patients - and aims to close the loop, from a novel concept to a large randomized controlled trial in patients.
Summary
Since a few decades, human patients who suffer from severe illnesses or multiple trauma, conditions that were previously lethal, are being treated in intensive care units (ICUs). Modern intensive care medicine bridges patients from life-threatening conditions to recovery with use of mechanical devices, vasoactive drugs and powerful anti-microbial agents. By postponing death, a new unnatural condition, intensive-care-dependent prolonged (>1 week) critical illness, has been created. About 25% of ICU patients today require prolonged intensive care, sometimes for weeks or months, and these patients are at high risk of death while consuming 75% of resources. Although the primary insult was adequately dealt with, many long-stay patients typically suffer from hypercatabolism, ICU-acquired brain dysfunction and polyneuropathy/myopathy leading to severe muscle weakness, further increasing the risk of late death. As hypercatabolism was considered the culprit, several anabolic interventions were tested, but these showed harm instead of benefit. We previously showed that fasting early during illness is superior to forceful feeding, pointing to certain benefits of catabolic responses. In healthy humans, fasting activates catabolism to provide substrates essential to protect and maintain brain and muscle function. This proposal aims to investigate whether evolutionary conserved catabolic fasting pathways, specifically lipolysis and ketogenesis, can be exploited in the search for prevention of brain dysfunction and muscle weakness in long-stay ICU patients, with the goal to identify a new metabolic intervention to enhance their recovery. The project builds further on our experience with bi-directional translational research - using human material whenever possible and a validated mouse model of sepsis-induced critical illness for objectives that cannot be addressed in patients - and aims to close the loop, from a novel concept to a large randomized controlled trial in patients.
Max ERC Funding
2 500 000 €
Duration
Start date: 2018-10-01, End date: 2023-09-30
Project acronym FLOS
Project Florilegia Syriaca. The Intercultural Dissemination of Greek Christian Thought in Syriac and Arabic in the First Millennium CE
Researcher (PI) Emiliano FIORI
Host Institution (HI) UNIVERSITA CA' FOSCARI VENEZIA
Call Details Starting Grant (StG), SH5, ERC-2017-STG
Summary FLOS will focus on the metamorphoses of Greek Christian thought in Syriac (Aramaic) and Arabic in Late Antiquity, within the timeframe of the first millennium CE. Syriac Christianity was a pivotal mediator of culture in the Late Antique epistemic space, but is little-known today. FLOS aims to bring to light for the first time a body of highly relevant Syriac and Christian Arabic sources that have hardly ever been studied before. At the end of the millennium, in Islamic-ruled Syria, Mesopotamia, and Iran, Syriac Christians strived to define their religious identity. One of their strategies was the production of florilegia, i.e. anthologies that they used to excerpt and reinvent the patristic canon, a corpus of Greek Christian works of the 2nd–6th centuries shared by European and Middle Eastern Christian cultures. A Greco-centric bias has prevented scholars from viewing these florilegia as laboratories of cultural creativity. FLOS will reverse the state of the art through two groundbreaking endeavours: 1) open-access digital editions of a set of Syriac florilegia of the 8th–10th centuries; 2) a study of many neglected writings of Syriac and Christian Arabic authors of the 8th–11th centuries. These tremendously important writings drew from Syriac patristic florilegia to pinpoint topics like incarnation and the Trinity against other Christians or Islam, showing how patristic sources were used to create new knowledge for the entangled environment of the Abbasid era. FLOS will thus dramatically improve our understanding of the cultural dynamics of Late Antiquity; patristic Christianity will emerge as a bridge between the intellectual history of Europe and of the Middle East. By studying how this shared patrimony was transformed in situations of interreligious interaction, especially with Islam, FLOS will facilitate the comprehension of Europe’s current religious discourses, and the preservation of the endangered cultural heritage of the Syriac Christians.
Summary
FLOS will focus on the metamorphoses of Greek Christian thought in Syriac (Aramaic) and Arabic in Late Antiquity, within the timeframe of the first millennium CE. Syriac Christianity was a pivotal mediator of culture in the Late Antique epistemic space, but is little-known today. FLOS aims to bring to light for the first time a body of highly relevant Syriac and Christian Arabic sources that have hardly ever been studied before. At the end of the millennium, in Islamic-ruled Syria, Mesopotamia, and Iran, Syriac Christians strived to define their religious identity. One of their strategies was the production of florilegia, i.e. anthologies that they used to excerpt and reinvent the patristic canon, a corpus of Greek Christian works of the 2nd–6th centuries shared by European and Middle Eastern Christian cultures. A Greco-centric bias has prevented scholars from viewing these florilegia as laboratories of cultural creativity. FLOS will reverse the state of the art through two groundbreaking endeavours: 1) open-access digital editions of a set of Syriac florilegia of the 8th–10th centuries; 2) a study of many neglected writings of Syriac and Christian Arabic authors of the 8th–11th centuries. These tremendously important writings drew from Syriac patristic florilegia to pinpoint topics like incarnation and the Trinity against other Christians or Islam, showing how patristic sources were used to create new knowledge for the entangled environment of the Abbasid era. FLOS will thus dramatically improve our understanding of the cultural dynamics of Late Antiquity; patristic Christianity will emerge as a bridge between the intellectual history of Europe and of the Middle East. By studying how this shared patrimony was transformed in situations of interreligious interaction, especially with Islam, FLOS will facilitate the comprehension of Europe’s current religious discourses, and the preservation of the endangered cultural heritage of the Syriac Christians.
Max ERC Funding
1 343 175 €
Duration
Start date: 2018-03-01, End date: 2023-02-28
Project acronym ForceMorph
Project The integration of cell signalling and mechanical forces in vascular morphology
Researcher (PI) Cecilia Maria SAHLGREN
Host Institution (HI) ABO AKADEMI
Call Details Consolidator Grant (CoG), LS9, ERC-2017-COG
Summary Cardiovascular diseases represent the principal worldwide medical challenge of the 21st century (WHO), and new concepts to treat, predict and even prevent these diseases are needed. Structural remodelling of the vasculature in response to changes in blood flow is important to maintain mechanical homeostasis, and many diseases are related to defects in tissue morphology and mechanical imbalance. Signalling between endothelial cells (ECs) and vascular smooth muscle cells (VSMCs) via the Notch pathway regulates the morphology and structural remodelling of the arterial wall. Importantly, Notch offers handles for therapeutic control and thus opportunities for treatment of malformation and adaptation. However, we lack the essential understanding of how hemodynamic forces integrate with Notch signalling to rationally and responsibly target Notch in vascular therapies. The complexity of the problem requires new tools and an interdisciplinary approach. Our project integrates engineering, computational modelling, with cell biology and in vivo model systems to address the question. In vivo models will validate the in in vitro model systems to ensure that they are reproducible and reflect the reality. Through this integrated approach we will enable new therapeutic developments.
The specific objectives of the project are to:
1) Study EC-VSMC signalling real time, at high resolution by a novel biomimetic 4D Artery-on-Chip that recapitulates the cell-composition, -organisation and hemodynamic forces of the physiological artery
2) Develop a computational model of the arterial wall that include the mechanosensitivity of Notch signalling to predict how the complex interactions affect arterial morphology and remodelling
3) Use in vivo animal models to elucidate how regulation of Notch signalling affects tissue morphology and remodelling in response to changes in hemodynamic conditions
Summary
Cardiovascular diseases represent the principal worldwide medical challenge of the 21st century (WHO), and new concepts to treat, predict and even prevent these diseases are needed. Structural remodelling of the vasculature in response to changes in blood flow is important to maintain mechanical homeostasis, and many diseases are related to defects in tissue morphology and mechanical imbalance. Signalling between endothelial cells (ECs) and vascular smooth muscle cells (VSMCs) via the Notch pathway regulates the morphology and structural remodelling of the arterial wall. Importantly, Notch offers handles for therapeutic control and thus opportunities for treatment of malformation and adaptation. However, we lack the essential understanding of how hemodynamic forces integrate with Notch signalling to rationally and responsibly target Notch in vascular therapies. The complexity of the problem requires new tools and an interdisciplinary approach. Our project integrates engineering, computational modelling, with cell biology and in vivo model systems to address the question. In vivo models will validate the in in vitro model systems to ensure that they are reproducible and reflect the reality. Through this integrated approach we will enable new therapeutic developments.
The specific objectives of the project are to:
1) Study EC-VSMC signalling real time, at high resolution by a novel biomimetic 4D Artery-on-Chip that recapitulates the cell-composition, -organisation and hemodynamic forces of the physiological artery
2) Develop a computational model of the arterial wall that include the mechanosensitivity of Notch signalling to predict how the complex interactions affect arterial morphology and remodelling
3) Use in vivo animal models to elucidate how regulation of Notch signalling affects tissue morphology and remodelling in response to changes in hemodynamic conditions
Max ERC Funding
1 919 599 €
Duration
Start date: 2018-03-01, End date: 2023-02-28
Project acronym FORMICA
Project Microclimatic buffering of plant responses to macroclimate warming in temperate forests
Researcher (PI) Pieter DE FRENNE
Host Institution (HI) UNIVERSITEIT GENT
Call Details Starting Grant (StG), LS9, ERC-2017-STG
Summary Recent global warming is acting across ecosystems and threatening biodiversity. Yet, due to slow responses, many biological communities are lagging behind warming of the macroclimate (the climate of a large geographic region). The buffering of microclimates near the ground measured in localized areas, arising from terrain features such as vegetation and topography, can explain why many species are lagging behind macroclimate warming. However, almost all studies ignore the effects of microclimatic buffering and key uncertainties still exist about this mechanism. Microclimates are particularly evident in forests, where understorey habitats are buffered by overstorey trees. In temperate forests, the understorey contains the vast majority of plant diversity and plays an essential role in driving ecosystem processes.
The overall goal of FORMICA (FORest MICroclimate Assessment) is to quantify and understand the role of microclimatic buffering in modulating forest understorey plant responses to macroclimate warming. We will perform the best assessment to date of the effects of microclimates on plants by applying microtemperature loggers, experimental heating, fluorescent tubes and a large-scale transplant experiment in temperate forests across Europe. For the first time, plant data from the individual to ecosystem level will be related to microclimate along wide temperature gradients and forest management regimes. The empirical results will then be integrated in cutting-edge demographic distribution models to forecast plant diversity in temperate forests as macroclimate warms.
FORMICA will provide the first integrative study on microclimatic buffering of macroclimate warming in forests. Interdisciplinary concepts and methods will be applied, including from climatology, forestry and ecology. FORMICA will reshape our current understanding of the impacts of climate change on forests and help land managers and policy makers to develop urgently needed adaptation strategies.
Summary
Recent global warming is acting across ecosystems and threatening biodiversity. Yet, due to slow responses, many biological communities are lagging behind warming of the macroclimate (the climate of a large geographic region). The buffering of microclimates near the ground measured in localized areas, arising from terrain features such as vegetation and topography, can explain why many species are lagging behind macroclimate warming. However, almost all studies ignore the effects of microclimatic buffering and key uncertainties still exist about this mechanism. Microclimates are particularly evident in forests, where understorey habitats are buffered by overstorey trees. In temperate forests, the understorey contains the vast majority of plant diversity and plays an essential role in driving ecosystem processes.
The overall goal of FORMICA (FORest MICroclimate Assessment) is to quantify and understand the role of microclimatic buffering in modulating forest understorey plant responses to macroclimate warming. We will perform the best assessment to date of the effects of microclimates on plants by applying microtemperature loggers, experimental heating, fluorescent tubes and a large-scale transplant experiment in temperate forests across Europe. For the first time, plant data from the individual to ecosystem level will be related to microclimate along wide temperature gradients and forest management regimes. The empirical results will then be integrated in cutting-edge demographic distribution models to forecast plant diversity in temperate forests as macroclimate warms.
FORMICA will provide the first integrative study on microclimatic buffering of macroclimate warming in forests. Interdisciplinary concepts and methods will be applied, including from climatology, forestry and ecology. FORMICA will reshape our current understanding of the impacts of climate change on forests and help land managers and policy makers to develop urgently needed adaptation strategies.
Max ERC Funding
1 498 469 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym FoTran
Project Found in Translation – Natural Language Understanding with Cross-Lingual Grounding
Researcher (PI) Jörg TIEDEMANN
Host Institution (HI) HELSINGIN YLIOPISTO
Call Details Consolidator Grant (CoG), PE6, ERC-2017-COG
Summary "Natural language understanding is the ""holy grail"" of computational linguistics and a long-term goal in research on artificial intelligence. Understanding human communication is difficult due to the various ambiguities in natural languages and the wide range of contextual dependencies required to resolve them. Discovering the semantics behind language input is necessary for proper interpretation in interactive tools, which requires an abstraction from language-specific forms to language-independent meaning representations. With this project, I propose a line of research that will focus on the development of novel data-driven models that can learn such meaning representations from indirect supervision provided by human translations covering a substantial proportion of the linguistic diversity in the world. A guiding principle is cross-lingual grounding, the effect of resolving ambiguities through translation. The beauty of that idea is the use of naturally occurring data instead of artificially created resources and costly manual annotations. The framework is based on deep learning and neural machine translation and my hypothesis is that training on increasing amounts of linguistically diverse data improves the abstractions found by the model. Eventually, this will lead to universal sentence-level meaning representations and we will test our ideas with multilingual machine translation and tasks that require semantic reasoning and inference."
Summary
"Natural language understanding is the ""holy grail"" of computational linguistics and a long-term goal in research on artificial intelligence. Understanding human communication is difficult due to the various ambiguities in natural languages and the wide range of contextual dependencies required to resolve them. Discovering the semantics behind language input is necessary for proper interpretation in interactive tools, which requires an abstraction from language-specific forms to language-independent meaning representations. With this project, I propose a line of research that will focus on the development of novel data-driven models that can learn such meaning representations from indirect supervision provided by human translations covering a substantial proportion of the linguistic diversity in the world. A guiding principle is cross-lingual grounding, the effect of resolving ambiguities through translation. The beauty of that idea is the use of naturally occurring data instead of artificially created resources and costly manual annotations. The framework is based on deep learning and neural machine translation and my hypothesis is that training on increasing amounts of linguistically diverse data improves the abstractions found by the model. Eventually, this will lead to universal sentence-level meaning representations and we will test our ideas with multilingual machine translation and tasks that require semantic reasoning and inference."
Max ERC Funding
1 817 622 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym FREEDLES
Project From needles to landscapes: a novel approach to scaling forest spectra
Researcher (PI) Miina Alina RAUTIAINEN
Host Institution (HI) AALTO KORKEAKOULUSAATIO SR
Call Details Consolidator Grant (CoG), LS9, ERC-2017-COG
Summary Accounting for vegetation structure – clumping of foliage into shoots or crowns – is the largest remaining challenge in modelling scattered and absorbed radiation in complex vegetation canopies such as forests. Clumping controls the radiation regime of forest canopies, yet it is poorly quantified. Currently, the communities working with vegetation structure and optical measurements do not have a common understanding of the concept. The FREEDLES project sets out to develop a universal method for quantifying clumping of foliage in forests based on detailed 3D structure and spectral reflectance data. Clumping will be linked to photon recollision probability, an exciting new development in the field of photon transport modelling. Photon recollision probability will, in turn, be used to develop a spectral scaling algorithm which will connect the spectra of vegetation at all hierarchical levels from needles and leaves to crowns, stands and landscapes. The spectral scaling algorithm will be validated with detailed reference measurements in both laboratory and natural conditions, and applied to interpret forest variables from satellite images at different spatial resolutions. The proposed approach is contrary to many other lines of current development where more complexity is favoured in canopy radiation models. If successful, the approach will significantly improve estimates of absorbed and scattered radiation fields in forests and retrieval results of forest biophysical variables from satellite data. Future applications can also be expected in global radiation and carbon balance estimation and in chlorophyll fluorescence models for forests. Most importantly, the spectral scaling model will open new horizons for our scientific understanding of photon-vegetation interactions.
Summary
Accounting for vegetation structure – clumping of foliage into shoots or crowns – is the largest remaining challenge in modelling scattered and absorbed radiation in complex vegetation canopies such as forests. Clumping controls the radiation regime of forest canopies, yet it is poorly quantified. Currently, the communities working with vegetation structure and optical measurements do not have a common understanding of the concept. The FREEDLES project sets out to develop a universal method for quantifying clumping of foliage in forests based on detailed 3D structure and spectral reflectance data. Clumping will be linked to photon recollision probability, an exciting new development in the field of photon transport modelling. Photon recollision probability will, in turn, be used to develop a spectral scaling algorithm which will connect the spectra of vegetation at all hierarchical levels from needles and leaves to crowns, stands and landscapes. The spectral scaling algorithm will be validated with detailed reference measurements in both laboratory and natural conditions, and applied to interpret forest variables from satellite images at different spatial resolutions. The proposed approach is contrary to many other lines of current development where more complexity is favoured in canopy radiation models. If successful, the approach will significantly improve estimates of absorbed and scattered radiation fields in forests and retrieval results of forest biophysical variables from satellite data. Future applications can also be expected in global radiation and carbon balance estimation and in chlorophyll fluorescence models for forests. Most importantly, the spectral scaling model will open new horizons for our scientific understanding of photon-vegetation interactions.
Max ERC Funding
1 963 590 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym GENOMIA
Project Genomic Modifiers of Inherited Aortapathy
Researcher (PI) Bart Leo LOEYS
Host Institution (HI) UNIVERSITEIT ANTWERPEN
Call Details Consolidator Grant (CoG), LS4, ERC-2017-COG
Summary Thoracic aortic aneurysm and dissection (TAAD) is an important cause of morbidity and mortality in the western world. As 20% of all affected individuals have a positive family history, the genetic contribution to the development of TAAD is significant. Over the last decade dozens of genes were identified underlying syndromic and non-syndromic forms of TAAD. Although mutations in these disease culprits do not yet explain all cases, their identification and functional characterization were essential in deciphering three key aortic aneurysm/dissection patho-mechanisms: disturbed extracellular matrix homeostasis, dysregulated TGFbeta signaling and altered aortic smooth muscle cell contractility. Owing to the recent advent of next-generation sequencing technologies, I anticipate that the identification of additional genetic TAAD causes will remain quite straightforward in the coming years. Importantly, in many syndromic and non-syndromic families, significant non-penetrance and both inter- and intra-familial clinical variation are observed. So, although the primary genetic underlying mutation is identical in all these family members, the clinical spectrum varies widely from completely asymptomatic to sudden death due to aortic dissection at young age. The precise mechanisms underlying this variability remain largely elusive. Consequently, a better understanding of the functional effects of the primary mutation is highly needed and the identification of genetic variation that modifies these effects is becoming increasingly important. In this project, I carefully selected four different innovative strategies to discover mother nature’s own modifying capabilities in human and mouse aortopathy. The identification of these genetic modifiers will advance the knowledge significantly beyond the current understanding, individualize current treatment protocols to deliver true precision medicine and offer promising new leads to novel therapeutic strategies.
Summary
Thoracic aortic aneurysm and dissection (TAAD) is an important cause of morbidity and mortality in the western world. As 20% of all affected individuals have a positive family history, the genetic contribution to the development of TAAD is significant. Over the last decade dozens of genes were identified underlying syndromic and non-syndromic forms of TAAD. Although mutations in these disease culprits do not yet explain all cases, their identification and functional characterization were essential in deciphering three key aortic aneurysm/dissection patho-mechanisms: disturbed extracellular matrix homeostasis, dysregulated TGFbeta signaling and altered aortic smooth muscle cell contractility. Owing to the recent advent of next-generation sequencing technologies, I anticipate that the identification of additional genetic TAAD causes will remain quite straightforward in the coming years. Importantly, in many syndromic and non-syndromic families, significant non-penetrance and both inter- and intra-familial clinical variation are observed. So, although the primary genetic underlying mutation is identical in all these family members, the clinical spectrum varies widely from completely asymptomatic to sudden death due to aortic dissection at young age. The precise mechanisms underlying this variability remain largely elusive. Consequently, a better understanding of the functional effects of the primary mutation is highly needed and the identification of genetic variation that modifies these effects is becoming increasingly important. In this project, I carefully selected four different innovative strategies to discover mother nature’s own modifying capabilities in human and mouse aortopathy. The identification of these genetic modifiers will advance the knowledge significantly beyond the current understanding, individualize current treatment protocols to deliver true precision medicine and offer promising new leads to novel therapeutic strategies.
Max ERC Funding
1 987 860 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym GODELIANA
Project The Gödel Enigma: Unveiling a Hidden Logical Heritage
Researcher (PI) Jan VON PLATO
Host Institution (HI) HELSINGIN YLIOPISTO
Call Details Advanced Grant (AdG), SH4, ERC-2017-ADG
Summary Research in logic and foundations of mathematics received an enormous impact through the incompleteness theorems that Kurt Gödel published in 1931. They are among the most iconic scientific achievements of the 20th century. These results led to the development of true formal systems and to the notions of formal languages and algorithmic computability that are connected to such names as Alonzo Church and Alan Turing. The said notions are the direct basis on which the first programming languages and computers were built two decades later. Thus, the present information society owes a - well hidden - debt to the theoretically oriented foundational research that sprung off from Gödel's results.
Strangely enough, there are several thousand pages of notes by this foremost figure of logic that have remained almost completely untouched. Such a situation would be unthinkable in many other fields. Say, with modern physics, every effort would have been made if Einstein - even Gödel's colleague and friend at the Princeton Institute - had left behind such a patrimony!
With Gödel, the difficulty lies in part in the fact that the work is written down in an obsolete, forgotten old German stenographic script called Gabelsberger, a true enigma for those interested in the contents. A second difficulty is the intrinsic logical complexity of the work.
The central aim of the project is to make this work available to future generations of logicians and philosophers. The principal investigator is in a unique position of being able to read the Gabelsberger notes and to interpret their logical content: What they mean in a historical-foundational context, what their significance is for today's research problems in logic, and how they change the view of Gödel as one of the most original thinkers of a century.
Summary
Research in logic and foundations of mathematics received an enormous impact through the incompleteness theorems that Kurt Gödel published in 1931. They are among the most iconic scientific achievements of the 20th century. These results led to the development of true formal systems and to the notions of formal languages and algorithmic computability that are connected to such names as Alonzo Church and Alan Turing. The said notions are the direct basis on which the first programming languages and computers were built two decades later. Thus, the present information society owes a - well hidden - debt to the theoretically oriented foundational research that sprung off from Gödel's results.
Strangely enough, there are several thousand pages of notes by this foremost figure of logic that have remained almost completely untouched. Such a situation would be unthinkable in many other fields. Say, with modern physics, every effort would have been made if Einstein - even Gödel's colleague and friend at the Princeton Institute - had left behind such a patrimony!
With Gödel, the difficulty lies in part in the fact that the work is written down in an obsolete, forgotten old German stenographic script called Gabelsberger, a true enigma for those interested in the contents. A second difficulty is the intrinsic logical complexity of the work.
The central aim of the project is to make this work available to future generations of logicians and philosophers. The principal investigator is in a unique position of being able to read the Gabelsberger notes and to interpret their logical content: What they mean in a historical-foundational context, what their significance is for today's research problems in logic, and how they change the view of Gödel as one of the most original thinkers of a century.
Max ERC Funding
2 132 993 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym GULAGECHOES
Project Gulag Echoes in the “multicultural prison”: historical and geographical influences on the identity and politics of ethnic minority prisoners in the communist successor states of Russia Europe.
Researcher (PI) Judith PALLOT
Host Institution (HI) HELSINGIN YLIOPISTO
Call Details Advanced Grant (AdG), SH3, ERC-2017-ADG
Summary "The project will examine the impact of the system of penality developed in the Soviet gulag on the ethnic identification and political radicalisation of prisoners in the Soviet Union and the communist successor states of Europe today. It is informed by the proposition that prisons are sites of ethnic identity construction but that the processes involved vary within and between states. In the project, the focus is on the extent to which particular ""prison-styles"" affect the social relationships, self-identification and political association of ethnic minority prisoners. After the collapse of the Soviet Union, the communist successor states all set about reforming their prison systems to bring them into line with international and European norms. However, all to a lesser or greater extent still have legacies of the system gestated in the Soviet Gulag and exported to East-Central-Europe after WWII. These may include the internal organisation of penal space, a collectivist approach to prisoner management, penal labour and, as in Russian case, a geographical distribution of the penal estate that results in prisoners being sent excessively long distances to serve their sentences. It is the how these legacies, interacting with other forces (including official and popular discourses, formal policy and individual life-histories) transform, confirm, and suppress the ethnic identification of prisoners that the project seeks to excavate. It will use a mixed method approach to answer research questions, including interviews with ex-prisoners and prisoners' families, the use of archival and documentary sources and social media. The research will use case studies to analyze the experiences of ethnic minority prisoners over time and through space. These provisionally will be Chechens, Tartars, Ukrainians, Estonians, migrant Uzbek and Tadjik workers and Roma and the country case studies are the Russian Federation, Georgia and Romania."
Summary
"The project will examine the impact of the system of penality developed in the Soviet gulag on the ethnic identification and political radicalisation of prisoners in the Soviet Union and the communist successor states of Europe today. It is informed by the proposition that prisons are sites of ethnic identity construction but that the processes involved vary within and between states. In the project, the focus is on the extent to which particular ""prison-styles"" affect the social relationships, self-identification and political association of ethnic minority prisoners. After the collapse of the Soviet Union, the communist successor states all set about reforming their prison systems to bring them into line with international and European norms. However, all to a lesser or greater extent still have legacies of the system gestated in the Soviet Gulag and exported to East-Central-Europe after WWII. These may include the internal organisation of penal space, a collectivist approach to prisoner management, penal labour and, as in Russian case, a geographical distribution of the penal estate that results in prisoners being sent excessively long distances to serve their sentences. It is the how these legacies, interacting with other forces (including official and popular discourses, formal policy and individual life-histories) transform, confirm, and suppress the ethnic identification of prisoners that the project seeks to excavate. It will use a mixed method approach to answer research questions, including interviews with ex-prisoners and prisoners' families, the use of archival and documentary sources and social media. The research will use case studies to analyze the experiences of ethnic minority prisoners over time and through space. These provisionally will be Chechens, Tartars, Ukrainians, Estonians, migrant Uzbek and Tadjik workers and Roma and the country case studies are the Russian Federation, Georgia and Romania."
Max ERC Funding
2 494 685 €
Duration
Start date: 2018-11-01, End date: 2023-10-31
Project acronym HANDmade
Project How natural hand usage shapes behavior and intrinsic and task-evoked brain activity.
Researcher (PI) Viviana BETTI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Call Details Starting Grant (StG), SH4, ERC-2017-STG
Summary A seminal concept in modern neuroscience is the plasticity of the developing and adult brain that underpins the organismic ability to adapt to the ever-changing environment and internal states. Conversely, recent studies indicate that ongoing sensory input seems not crucial to modulate the overall level of brain activity, which instead it is strongly determined by its intrinsic fluctuations. These observations raise a fundamental question: what is coded in the intrinsic activity? This project tests the hypothesis that intrinsic activity represents and maintains an internal model of the environment built through the integration of information from visual and bodily inputs. The bodily inputs represent the physical and functional interaction that our body establishes with the external environment. In this framework, the hand has a special role, as it represents the primary means of interaction with the environment.
Do behavior and mental activity change as a function of the effector we use to interact with the external environment? In virtual settings, I test the resilience of the internal model to extreme manipulations of the body by replacing the hand with everyday tools. The hypothesis is that prior representations constrain novel behaviors and plastic changes of both intrinsic and task-related brain activities. This prediction is also tested on samples of acquired amputees. These subjects represent an interesting model because the hand loss might reflect loss of sensory representations and less constrain on task-related brain activation.
Throughout a combination of behavioral approaches, methods and techniques ranging from kinematics to functional neuroimaging (fMRI and MEG) and virtual reality, this project provides insights on how the synergic activity of body and environment shapes behavior and neural activity. This grant might open novel opportunities for future developments of robotic-assisted technology and neuroprostheses.
Summary
A seminal concept in modern neuroscience is the plasticity of the developing and adult brain that underpins the organismic ability to adapt to the ever-changing environment and internal states. Conversely, recent studies indicate that ongoing sensory input seems not crucial to modulate the overall level of brain activity, which instead it is strongly determined by its intrinsic fluctuations. These observations raise a fundamental question: what is coded in the intrinsic activity? This project tests the hypothesis that intrinsic activity represents and maintains an internal model of the environment built through the integration of information from visual and bodily inputs. The bodily inputs represent the physical and functional interaction that our body establishes with the external environment. In this framework, the hand has a special role, as it represents the primary means of interaction with the environment.
Do behavior and mental activity change as a function of the effector we use to interact with the external environment? In virtual settings, I test the resilience of the internal model to extreme manipulations of the body by replacing the hand with everyday tools. The hypothesis is that prior representations constrain novel behaviors and plastic changes of both intrinsic and task-related brain activities. This prediction is also tested on samples of acquired amputees. These subjects represent an interesting model because the hand loss might reflect loss of sensory representations and less constrain on task-related brain activation.
Throughout a combination of behavioral approaches, methods and techniques ranging from kinematics to functional neuroimaging (fMRI and MEG) and virtual reality, this project provides insights on how the synergic activity of body and environment shapes behavior and neural activity. This grant might open novel opportunities for future developments of robotic-assisted technology and neuroprostheses.
Max ERC Funding
1 494 662 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym HiCoS
Project Higher Co-dimension Singularities: Minimal Surfaces and the Thin Obstacle Problem
Researcher (PI) Emanuele SPADARO
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Call Details Starting Grant (StG), PE1, ERC-2017-STG
Summary Singular solutions to variational problems and to partial differential equations are naturally ubiquitous in many contexts, and among these minimal surfaces theory and free boundary problems are two prominent examples both for their analytical content and their physical interest.
A crucial aspect in this regard is the co-dimension of the objects under consideration: indeed, many of the analytical and geometric principles which are valid for minimal hypersurfaces or regular points of the free boundary do not apply to higher co-dimension surfaces or singular free boundary points.
The aim of this project is to investigate some of the most compelling questions about the singularities of two classical problems in the geometric calculus of variations in higher co-dimension:
I. Mass-minimizing integer rectifiable currents, i.e. solutions to the Plateau problem of finding the surfaces of least area, attacking specific conjectures about the structure of the singular set, most prominently the boundedness of its measure.
II. The thin obstacle problem, consisting in minimizing the Dirichlet energy (or a variant of it) among functions constrained above an obstacle that is assigned on a lower dimensional space, with the purpose of answering some of the main open questions on the singular free boundary points.
The main unifying theme of the project is the central role played by geometric measure theory, which underlines various common aspects of these two problems and makes them suited to be treated in an unified framework.
Although these are classical questions with a long tradition, our knowledge about them is still limited and their investigation is among the most challenging issues in regularity theory. This is the central focus of the project, with the final goal to develop suitable analytical techniques that provides valuable insights on the mathematics at the basis of higher co-dimension singularities, eventually fruitful in other geometric and analytical settings.
Summary
Singular solutions to variational problems and to partial differential equations are naturally ubiquitous in many contexts, and among these minimal surfaces theory and free boundary problems are two prominent examples both for their analytical content and their physical interest.
A crucial aspect in this regard is the co-dimension of the objects under consideration: indeed, many of the analytical and geometric principles which are valid for minimal hypersurfaces or regular points of the free boundary do not apply to higher co-dimension surfaces or singular free boundary points.
The aim of this project is to investigate some of the most compelling questions about the singularities of two classical problems in the geometric calculus of variations in higher co-dimension:
I. Mass-minimizing integer rectifiable currents, i.e. solutions to the Plateau problem of finding the surfaces of least area, attacking specific conjectures about the structure of the singular set, most prominently the boundedness of its measure.
II. The thin obstacle problem, consisting in minimizing the Dirichlet energy (or a variant of it) among functions constrained above an obstacle that is assigned on a lower dimensional space, with the purpose of answering some of the main open questions on the singular free boundary points.
The main unifying theme of the project is the central role played by geometric measure theory, which underlines various common aspects of these two problems and makes them suited to be treated in an unified framework.
Although these are classical questions with a long tradition, our knowledge about them is still limited and their investigation is among the most challenging issues in regularity theory. This is the central focus of the project, with the final goal to develop suitable analytical techniques that provides valuable insights on the mathematics at the basis of higher co-dimension singularities, eventually fruitful in other geometric and analytical settings.
Max ERC Funding
1 341 250 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym IceCommunities
Project Reconstructing community dynamics and ecosystem functioning after glacial retreat
Researcher (PI) Gentile Francesco FICETOLA
Host Institution (HI) UNIVERSITA DEGLI STUDI DI MILANO
Call Details Consolidator Grant (CoG), LS8, ERC-2017-COG
Summary Glaciers show a pattern of retreat at the global scale. Increasing areas are exposed and colonized by multiple organisms, but lack of global studies hampers a complete understanding of the future of recently deglaciated terrains. What will be the fate of these areas? How do animals, plants and microorganisms colonize them? How do they interact to perform successful colonization? Which are the climatic, geological and biogeographical processes determining colonization patterns? How does ecosystem functioning evolves through time? Until now, the complete reconstruction of soil communities was hampered by the complexity of identification of organisms, thus analyses at broad geographical and taxonomic scale have been so far impossible. IceCommunities will combine innovative methods and a global approach to boost our understanding of the evolution of ecosystems in recently deglaciated areas. I will investigate chronosequences ranging from recently deglaciated terrains to late successional stages of soil pedogenesis. Through environmental DNA metabarcoding I will identify species from multiple taxonomic groups (bacteria, fungi, protists, soil invertebrates, plants), to obtain a complete reconstruction of biotic communities along glacier forelands over multiple mountain areas across the globe. This will allow measuring the rate of colonization at an unprecedented detail. Information on assemblages will be combined with analyses of soil, landscape and climate to identify the drivers of community changes. I will also identify the impact of eco-geographical factors (climate, regional pool of potential colonizers) on colonization. Analysis of functional traits will allow reconstructing how functional diversity emerges during community formation, and how it scales to the functioning of food webs. IceCommunities will help to predict the future development of these increasingly important ecosystems, providing a supported rationale for the appropriate management of these areas
Summary
Glaciers show a pattern of retreat at the global scale. Increasing areas are exposed and colonized by multiple organisms, but lack of global studies hampers a complete understanding of the future of recently deglaciated terrains. What will be the fate of these areas? How do animals, plants and microorganisms colonize them? How do they interact to perform successful colonization? Which are the climatic, geological and biogeographical processes determining colonization patterns? How does ecosystem functioning evolves through time? Until now, the complete reconstruction of soil communities was hampered by the complexity of identification of organisms, thus analyses at broad geographical and taxonomic scale have been so far impossible. IceCommunities will combine innovative methods and a global approach to boost our understanding of the evolution of ecosystems in recently deglaciated areas. I will investigate chronosequences ranging from recently deglaciated terrains to late successional stages of soil pedogenesis. Through environmental DNA metabarcoding I will identify species from multiple taxonomic groups (bacteria, fungi, protists, soil invertebrates, plants), to obtain a complete reconstruction of biotic communities along glacier forelands over multiple mountain areas across the globe. This will allow measuring the rate of colonization at an unprecedented detail. Information on assemblages will be combined with analyses of soil, landscape and climate to identify the drivers of community changes. I will also identify the impact of eco-geographical factors (climate, regional pool of potential colonizers) on colonization. Analysis of functional traits will allow reconstructing how functional diversity emerges during community formation, and how it scales to the functioning of food webs. IceCommunities will help to predict the future development of these increasingly important ecosystems, providing a supported rationale for the appropriate management of these areas
Max ERC Funding
1 845 773 €
Duration
Start date: 2018-04-01, End date: 2023-03-31
Project acronym ImmunoFit
Project Harnessing tumor metabolism to overcome immunosupression
Researcher (PI) Massimiliano MAZZONE
Host Institution (HI) VIB
Call Details Consolidator Grant (CoG), LS4, ERC-2017-COG
Summary Anti-cancer immunotherapy has provided patients with a promising treatment. Yet, it has also unveiled that the immunosuppressive tumor microenvironment (TME) hampers the efficiency of this therapeutic option and limits its success. The concept that metabolism is able to shape the immune response has gained general acceptance. Nonetheless, little is known on how the metabolic crosstalk between different tumor compartments contributes to the harsh TME and ultimately impairs T cell fitness within the tumor.
This proposal aims to decipher which metabolic changes in the TME impede proper anti-tumor immunity. Starting from the meta-analysis of public human datasets, corroborated by metabolomics and transcriptomics data from several mouse tumors, we ranked clinically relevant and altered metabolic pathways that correlate with resistance to immunotherapy. Using a CRISPR/Cas9 platform for their functional in vivo selection, we want to identify cancer cell intrinsic metabolic mediators and, indirectly, distinguish those belonging specifically to the stroma. By means of genetic tools and small molecules, we will modify promising metabolic pathways in cancer cells and stromal cells (particularly in tumor-associated macrophages) to harness tumor immunosuppression. In a mirroring approach, we will apply a similar screening tool on cytotoxic T cells to identify metabolic targets that enhance their fitness under adverse growth conditions. This will allow us to manipulate T cells ex vivo and to therapeutically intervene via adoptive T cell transfer. By analyzing the metabolic network and crosstalk within the tumor, this project will shed light on how metabolism contributes to the immunosuppressive TME and T cell maladaptation. The overall goal is to identify druggable metabolic targets that i) reinforce the intrinsic anti-tumor immune response by breaking immunosuppression and ii) promote T cell function in immunotherapeutic settings by rewiring either the TME or the T cell itself.
Summary
Anti-cancer immunotherapy has provided patients with a promising treatment. Yet, it has also unveiled that the immunosuppressive tumor microenvironment (TME) hampers the efficiency of this therapeutic option and limits its success. The concept that metabolism is able to shape the immune response has gained general acceptance. Nonetheless, little is known on how the metabolic crosstalk between different tumor compartments contributes to the harsh TME and ultimately impairs T cell fitness within the tumor.
This proposal aims to decipher which metabolic changes in the TME impede proper anti-tumor immunity. Starting from the meta-analysis of public human datasets, corroborated by metabolomics and transcriptomics data from several mouse tumors, we ranked clinically relevant and altered metabolic pathways that correlate with resistance to immunotherapy. Using a CRISPR/Cas9 platform for their functional in vivo selection, we want to identify cancer cell intrinsic metabolic mediators and, indirectly, distinguish those belonging specifically to the stroma. By means of genetic tools and small molecules, we will modify promising metabolic pathways in cancer cells and stromal cells (particularly in tumor-associated macrophages) to harness tumor immunosuppression. In a mirroring approach, we will apply a similar screening tool on cytotoxic T cells to identify metabolic targets that enhance their fitness under adverse growth conditions. This will allow us to manipulate T cells ex vivo and to therapeutically intervene via adoptive T cell transfer. By analyzing the metabolic network and crosstalk within the tumor, this project will shed light on how metabolism contributes to the immunosuppressive TME and T cell maladaptation. The overall goal is to identify druggable metabolic targets that i) reinforce the intrinsic anti-tumor immune response by breaking immunosuppression and ii) promote T cell function in immunotherapeutic settings by rewiring either the TME or the T cell itself.
Max ERC Funding
1 999 721 €
Duration
Start date: 2018-07-01, End date: 2023-06-30
Project acronym IMPACT HAU
Project The Hau of Finance: Impact Investing and the Globalization of Social and Environmental Sustainability
Researcher (PI) Marc BRIGHTMAN
Host Institution (HI) ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA
Call Details Consolidator Grant (CoG), SH5, ERC-2017-COG
Summary Impact investing is a major emerging phenomenon in global finance that promises to reconcile capitalism with sustainability. It is increasingly embraced by governments, civil society and the private sector in the Global North and South to solve social and environmental problems. The combined crises of climate change, inequality and mass migration in a context of economic austerity have spurred cross-sectoral impact investing partnerships in areas such as green infrastructure, women’s entrepreneurship, agroecology, refugee support and disease prevention. This burgeoning $200bn market promises flexible, holistic and profitable paths to sustainability, attracting major philanthropic organisations and institutional investors boasting fresh ethical and responsible mandates. Is impact investing merely a new frontier for capitalism, or does it represent a revolutionary chapter in global history? Will it benefit communities better than conventional development programmes?
The time to answer these questions is now, as impact investing is still in its infancy and the first green and social stock exchanges are opening around the world. IMPACT HAU is an innovative, critical and comparative anthropological study of the moral and political dimensions of impact investing. Inspired by Marcel Mauss’s classic use of the Maori concept of hau, the ‘spirit of the gift’, it focuses on the designers, traders and beneficiaries of impact bonds to produce an empirically driven analysis of the multiple moral orders within contemporary capitalism. Six ethnographic case studies will provide grounded, detailed accounts of the design and implementation of impact investing in Africa, Asia, Europe and the Americas. These will support a critical appraisal of the current consensus among global policymakers and business leaders giving markets a determining role in the ecological transition, testing the theories of sustainability that underpin hopes for a socially inclusive green economy.
Summary
Impact investing is a major emerging phenomenon in global finance that promises to reconcile capitalism with sustainability. It is increasingly embraced by governments, civil society and the private sector in the Global North and South to solve social and environmental problems. The combined crises of climate change, inequality and mass migration in a context of economic austerity have spurred cross-sectoral impact investing partnerships in areas such as green infrastructure, women’s entrepreneurship, agroecology, refugee support and disease prevention. This burgeoning $200bn market promises flexible, holistic and profitable paths to sustainability, attracting major philanthropic organisations and institutional investors boasting fresh ethical and responsible mandates. Is impact investing merely a new frontier for capitalism, or does it represent a revolutionary chapter in global history? Will it benefit communities better than conventional development programmes?
The time to answer these questions is now, as impact investing is still in its infancy and the first green and social stock exchanges are opening around the world. IMPACT HAU is an innovative, critical and comparative anthropological study of the moral and political dimensions of impact investing. Inspired by Marcel Mauss’s classic use of the Maori concept of hau, the ‘spirit of the gift’, it focuses on the designers, traders and beneficiaries of impact bonds to produce an empirically driven analysis of the multiple moral orders within contemporary capitalism. Six ethnographic case studies will provide grounded, detailed accounts of the design and implementation of impact investing in Africa, Asia, Europe and the Americas. These will support a critical appraisal of the current consensus among global policymakers and business leaders giving markets a determining role in the ecological transition, testing the theories of sustainability that underpin hopes for a socially inclusive green economy.
Max ERC Funding
1 999 999 €
Duration
Start date: 2019-02-01, End date: 2024-01-31
Project acronym INSCRIBE
Project INvention of SCRIpts and their BEginnings
Researcher (PI) Silvia FERRARA
Host Institution (HI) ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA
Call Details Consolidator Grant (CoG), SH5, ERC-2017-COG
Summary Writing must rank among mankind’s highest achievements. Yet the factors that enabled its invention independently in different parts of the world have never been subject to an analysis from a multidisciplinary and comparative perspective that encompasses both deciphered and undeciphered scripts. INSCRIBE takes such an approach, combining a study of the world’s first instances of writing, including the earliest in Europe, through the lens of archaeology, anthropology, cultural evolution, cognitive studies and decipherment strategies. This methodology involves three strands of research.
First, it will consider the original inventions, all of which are image-based, from Mesopotamia, Egypt, Mesoamerica and China, and other debated cases. The objective is to characterize their conception in terms of visual cognition (why are signs shaped as they are?), archaeological setting (what are the contextual preconditions, why does writing emerge when it does, and only four times in history?), application of use (what are its initial purposes?), and language notation (what are the paths to registering sound?).
Second, it will explore the earliest scripts in Europe from the second millennium BC Aegean, whose initial phase is highly iconic. The three undeciphered Aegean scripts (Cretan Hieroglyphic, Linear A and Cypro-Minoan) will be analyzed for the first time from a multistranded perspective that will shed unprecedented light on their creation and development. The objective is to analyze the relationship between these scripts and to apply a multi-stepped (and already successfully piloted) decipherment strategy.
Third, INSCRIBE proposes to go beyond the traditional standards applied to the corpora of inscriptions by producing the first complete digital corpus of all three Aegean undeciphered scripts, with 3D interactive models accompanied by a multidimensional interface tagging inscriptions, types of inscribed objects, provenance, archaeological contexts and functions.
Summary
Writing must rank among mankind’s highest achievements. Yet the factors that enabled its invention independently in different parts of the world have never been subject to an analysis from a multidisciplinary and comparative perspective that encompasses both deciphered and undeciphered scripts. INSCRIBE takes such an approach, combining a study of the world’s first instances of writing, including the earliest in Europe, through the lens of archaeology, anthropology, cultural evolution, cognitive studies and decipherment strategies. This methodology involves three strands of research.
First, it will consider the original inventions, all of which are image-based, from Mesopotamia, Egypt, Mesoamerica and China, and other debated cases. The objective is to characterize their conception in terms of visual cognition (why are signs shaped as they are?), archaeological setting (what are the contextual preconditions, why does writing emerge when it does, and only four times in history?), application of use (what are its initial purposes?), and language notation (what are the paths to registering sound?).
Second, it will explore the earliest scripts in Europe from the second millennium BC Aegean, whose initial phase is highly iconic. The three undeciphered Aegean scripts (Cretan Hieroglyphic, Linear A and Cypro-Minoan) will be analyzed for the first time from a multistranded perspective that will shed unprecedented light on their creation and development. The objective is to analyze the relationship between these scripts and to apply a multi-stepped (and already successfully piloted) decipherment strategy.
Third, INSCRIBE proposes to go beyond the traditional standards applied to the corpora of inscriptions by producing the first complete digital corpus of all three Aegean undeciphered scripts, with 3D interactive models accompanied by a multidimensional interface tagging inscriptions, types of inscribed objects, provenance, archaeological contexts and functions.
Max ERC Funding
1 463 337 €
Duration
Start date: 2018-10-01, End date: 2023-09-30
Project acronym INSITE
Project Development and use of an integrated in silico-in vitro mesofluidics system for tissue engineering
Researcher (PI) Liesbet Laura J GERIS
Host Institution (HI) UNIVERSITE DE LIEGE
Call Details Consolidator Grant (CoG), PE8, ERC-2017-COG
Summary Tissue Engineering (TE) refers to the branch of medicine that aims to replace or regenerate functional tissue or organs using man-made living implants. As the field is moving towards more complex TE constructs with sophisticated functionalities, there is a lack of dedicated in vitro devices that allow testing the response of the complex construct as a whole, prior to implantation. Additionally, the knowledge accumulated from mechanistic and empirical in vitro and in vivo studies is often underused in the development of novel constructs due to a lack of integration of all the data in a single, in silico, platform.
The INSITE project aims to address both challenges by developing a new mesofluidics set-up for in vitro testing of TE constructs and by developing dedicated multiscale and multiphysics models that aggregate the available data and use these to design complex constructs and proper mesofluidics settings for in vitro testing. The combination of these in silico and in vitro approaches will lead to an integrated knowledge-rich mesofluidics system that provides an in vivo-like time-varying in vitro environment. The system will emulate the in vivo environment present at the (early) stages of bone regeneration including the vascularization process and the innate immune response. A proof of concept will be delivered for complex TE constructs for large bone defects and infected fractures.
To realize this project, the applicant can draw on her well-published track record and extensive network in the fields of in silico medicine and skeletal TE. If successful, INSITE will generate a shift from in vivo to in vitro work and hence a transformation of the classical R&D pipeline. Using this system will allow for a maximum of relevant in vitro research prior to the in vivo phase, which is highly needed in academia and industry with the increasing ethical (3R), financial and regulatory constraints.
Summary
Tissue Engineering (TE) refers to the branch of medicine that aims to replace or regenerate functional tissue or organs using man-made living implants. As the field is moving towards more complex TE constructs with sophisticated functionalities, there is a lack of dedicated in vitro devices that allow testing the response of the complex construct as a whole, prior to implantation. Additionally, the knowledge accumulated from mechanistic and empirical in vitro and in vivo studies is often underused in the development of novel constructs due to a lack of integration of all the data in a single, in silico, platform.
The INSITE project aims to address both challenges by developing a new mesofluidics set-up for in vitro testing of TE constructs and by developing dedicated multiscale and multiphysics models that aggregate the available data and use these to design complex constructs and proper mesofluidics settings for in vitro testing. The combination of these in silico and in vitro approaches will lead to an integrated knowledge-rich mesofluidics system that provides an in vivo-like time-varying in vitro environment. The system will emulate the in vivo environment present at the (early) stages of bone regeneration including the vascularization process and the innate immune response. A proof of concept will be delivered for complex TE constructs for large bone defects and infected fractures.
To realize this project, the applicant can draw on her well-published track record and extensive network in the fields of in silico medicine and skeletal TE. If successful, INSITE will generate a shift from in vivo to in vitro work and hence a transformation of the classical R&D pipeline. Using this system will allow for a maximum of relevant in vitro research prior to the in vivo phase, which is highly needed in academia and industry with the increasing ethical (3R), financial and regulatory constraints.
Max ERC Funding
2 161 750 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym INTERCELLMED
Project SENSING CELL-CELL INTERACTION HETEROGENEITY IN 3D TUMOR MODELS:TOWARDS PRECISION MEDICINE
Researcher (PI) Loretta DEL MERCATO
Host Institution (HI) CONSIGLIO NAZIONALE DELLE RICERCHE
Call Details Starting Grant (StG), PE8, ERC-2017-STG
Summary This project aims to investigate the role of potassium (K+), protons (H+) and oxygen (O2) gradients in the extracellular space of tumour cells grown in 3D cultures by using a combination of imaging, cell biology and in silico analyses. By embedding ratiometric fluorescent particle-based sensors within 3D scaffolds, the changes in target analyte concentrations can be monitored and used to study the interactions between tumour cells and stromal cells in 3D tumoroids/scaffolds and to monitor response of the cells to drug treatments. I first demonstrated successful fabrication of barcoded capsules for multiplex sensing of H+, K+, and Na+ ions. Next, I demonstrated the use of pH-sensing capsules as valid real time optical reporter tools to sense and monitor intracellular acidification in living cells. Thus, I can fabricate capsule sensors for investigating the role of key analytes that are involved in regulation of crucial physiological mechanisms. In addition, I successfully integrated pH-sensing capsules within 3D nanofibrous matrices and demonstrated their operation under pH switches. INTERCELLMED will engineer 3D scaffolds that do not only sense extracellular pH but are also able to sense K+ and O2 changes. To this aim, a novel set of anisotropic analyte-sensitive ratiometric capsules will be developed and applied for generating robust and flexible capsules-embedded sensing scaffolds. To validate the functions of the 3D sensing platform, cocoltures of tumour cells and stromal cells will be grown and their interaction and response to drug treatments will be studied by mapping the K+/H+/O2 gradients in and around the cell aggregates. Finally, the 3D sensing platform will be adapted for growing tumour tissue-derived cells that will be tested ex-vivo with anticancer dugs. Specific mathematical models of cellular interactions will be developed to represent the biological processes occurring within the 3D sensing platform.
Summary
This project aims to investigate the role of potassium (K+), protons (H+) and oxygen (O2) gradients in the extracellular space of tumour cells grown in 3D cultures by using a combination of imaging, cell biology and in silico analyses. By embedding ratiometric fluorescent particle-based sensors within 3D scaffolds, the changes in target analyte concentrations can be monitored and used to study the interactions between tumour cells and stromal cells in 3D tumoroids/scaffolds and to monitor response of the cells to drug treatments. I first demonstrated successful fabrication of barcoded capsules for multiplex sensing of H+, K+, and Na+ ions. Next, I demonstrated the use of pH-sensing capsules as valid real time optical reporter tools to sense and monitor intracellular acidification in living cells. Thus, I can fabricate capsule sensors for investigating the role of key analytes that are involved in regulation of crucial physiological mechanisms. In addition, I successfully integrated pH-sensing capsules within 3D nanofibrous matrices and demonstrated their operation under pH switches. INTERCELLMED will engineer 3D scaffolds that do not only sense extracellular pH but are also able to sense K+ and O2 changes. To this aim, a novel set of anisotropic analyte-sensitive ratiometric capsules will be developed and applied for generating robust and flexible capsules-embedded sensing scaffolds. To validate the functions of the 3D sensing platform, cocoltures of tumour cells and stromal cells will be grown and their interaction and response to drug treatments will be studied by mapping the K+/H+/O2 gradients in and around the cell aggregates. Finally, the 3D sensing platform will be adapted for growing tumour tissue-derived cells that will be tested ex-vivo with anticancer dugs. Specific mathematical models of cellular interactions will be developed to represent the biological processes occurring within the 3D sensing platform.
Max ERC Funding
1 050 000 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym INVICTUS
Project IN VItro Cavitation Through UltraSound
Researcher (PI) Carlo Massimo CASCIOLA
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary Disorders of the central nervous system (CNS) contribute almost 800 billion euros in annual European healthcare costs. New compounds, effective in animal models, hardly work in humans, mostly due to the inability to cross the Brain Blood Barrier (BBB). In these conditions cost-effective tools to alter BBB and, more generally, endothelial layer permeability is desirable before proceeding to expensive and time-consuming animal studies. INVICTUS (IN VItro Cavitation Through UltraSound) originates within the ERC-AdG project Bubbles from Inception to Collapse (BIC) and concerns the development of a biomimetic micro-fluidic platform to be made turnkey available to biologists, clinicians and pharmacologists. The integrated platform exploits endothelial layer permeability enhancement by cavitation bubbles and provides an integrated, low cost platform to develop cavitation enhanced drug delivery under well controlled and reproducible conditions. Its potential is significant, given the well known societal and economical impact of degenerative diseases and the enormous investment and the long times of pre-clinical trials, as confirmed by a leading company operating in the field. Limiting/avoiding animal experimentation has an evident ethical impact and is associated with substantial economic savings and organisational simplification. In few words, micro-bubbles injected into the bloodstream undergo volume oscillations under localised ultrasound irradiation, with local reversible permeability enhancement of the endothelium. Already pursed in in vivo animal models, this approach is extended here to a high-fidelity, in vitro biomimetic device that will bring to market new crucial features such as the three-dimensional geometry of realistic-size vascular channels featuring an actual endothelial barrier, the correct perfusion rate, the appropriate physiological shear stress exerted on the endothelial cells and the ability to reproduce biochemical interactions between different, healthy and diseased, tissues.
Summary
Disorders of the central nervous system (CNS) contribute almost 800 billion euros in annual European healthcare costs. New compounds, effective in animal models, hardly work in humans, mostly due to the inability to cross the Brain Blood Barrier (BBB). In these conditions cost-effective tools to alter BBB and, more generally, endothelial layer permeability is desirable before proceeding to expensive and time-consuming animal studies. INVICTUS (IN VItro Cavitation Through UltraSound) originates within the ERC-AdG project Bubbles from Inception to Collapse (BIC) and concerns the development of a biomimetic micro-fluidic platform to be made turnkey available to biologists, clinicians and pharmacologists. The integrated platform exploits endothelial layer permeability enhancement by cavitation bubbles and provides an integrated, low cost platform to develop cavitation enhanced drug delivery under well controlled and reproducible conditions. Its potential is significant, given the well known societal and economical impact of degenerative diseases and the enormous investment and the long times of pre-clinical trials, as confirmed by a leading company operating in the field. Limiting/avoiding animal experimentation has an evident ethical impact and is associated with substantial economic savings and organisational simplification. In few words, micro-bubbles injected into the bloodstream undergo volume oscillations under localised ultrasound irradiation, with local reversible permeability enhancement of the endothelium. Already pursed in in vivo animal models, this approach is extended here to a high-fidelity, in vitro biomimetic device that will bring to market new crucial features such as the three-dimensional geometry of realistic-size vascular channels featuring an actual endothelial barrier, the correct perfusion rate, the appropriate physiological shear stress exerted on the endothelial cells and the ability to reproduce biochemical interactions between different, healthy and diseased, tissues.
Max ERC Funding
150 000 €
Duration
Start date: 2017-12-01, End date: 2019-05-31
Project acronym IPTheoryUnified
Project Inverse boundary problems: toward a unified theory
Researcher (PI) Mikko SALO
Host Institution (HI) JYVASKYLAN YLIOPISTO
Call Details Consolidator Grant (CoG), PE1, ERC-2017-COG
Summary This proposal is concerned with the mathematical theory of inverse problems. This is a vibrant research field at the intersection of pure and applied mathematics, drawing techniques from PDE, geometry, and harmonic analysis as well as generating new research questions inspired by applications. Prominent questions include the Calderón problem related to electrical imaging, the Gel'fand problem related to seismic imaging, and geometric inverse problems such as inversion of the geodesic X-ray transform.
Recently, exciting new connections between these different topics have begun to emerge in the work of the PI and others, such as:
- The explicit appearance of the geodesic X-ray transform in the Calderón problem.
- An unexpected connection between the Calderón and Gel’fand problems involving control theory.
- Pseudo-linearization as a potential unifying principle for reducing nonlinear problems to linear ones.
- The introduction of microlocal normal forms in inverse problems for PDE.
These examples strongly suggest that there is a larger picture behind various different inverse problems, which remains to be fully revealed.
This project will explore the possibility of a unified theory for several inverse boundary problems. Particular objectives include:
1. The use of normal forms and pseudo-linearization as a unified point of view, including reductions to questions in integral geometry and control theory.
2. The solution of integral geometry problems, including the analysis of convex foliations, invertibility of ray transforms, and a systematic Carleman estimate approach to uniqueness results.
3. A theory of inverse problems for nonlocal models based on control theory arguments.
Such a unified theory could have remarkable consequences even in other fields of mathematics, including controllability methods in transport theory, a solution of the boundary rigidity problem in geometry, or a general pseudo-linearization approach for solving nonlinear operator equations.
Summary
This proposal is concerned with the mathematical theory of inverse problems. This is a vibrant research field at the intersection of pure and applied mathematics, drawing techniques from PDE, geometry, and harmonic analysis as well as generating new research questions inspired by applications. Prominent questions include the Calderón problem related to electrical imaging, the Gel'fand problem related to seismic imaging, and geometric inverse problems such as inversion of the geodesic X-ray transform.
Recently, exciting new connections between these different topics have begun to emerge in the work of the PI and others, such as:
- The explicit appearance of the geodesic X-ray transform in the Calderón problem.
- An unexpected connection between the Calderón and Gel’fand problems involving control theory.
- Pseudo-linearization as a potential unifying principle for reducing nonlinear problems to linear ones.
- The introduction of microlocal normal forms in inverse problems for PDE.
These examples strongly suggest that there is a larger picture behind various different inverse problems, which remains to be fully revealed.
This project will explore the possibility of a unified theory for several inverse boundary problems. Particular objectives include:
1. The use of normal forms and pseudo-linearization as a unified point of view, including reductions to questions in integral geometry and control theory.
2. The solution of integral geometry problems, including the analysis of convex foliations, invertibility of ray transforms, and a systematic Carleman estimate approach to uniqueness results.
3. A theory of inverse problems for nonlocal models based on control theory arguments.
Such a unified theory could have remarkable consequences even in other fields of mathematics, including controllability methods in transport theory, a solution of the boundary rigidity problem in geometry, or a general pseudo-linearization approach for solving nonlinear operator equations.
Max ERC Funding
920 880 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym ISLAM-OPHOB-ISM
Project Nativism, Islamophobism and Islamism in the Age of Populism: Culturalisation and Religionisation of what is Social, Economic and Political in Europe
Researcher (PI) Ayhan KAYA
Host Institution (HI) ISTANBUL BILGI UNIVERSITESI
Call Details Advanced Grant (AdG), SH3, ERC-2017-ADG
Summary The main research question of the study is: How and why do some European citizens generate a populist and Islamophobist discourse to express their discontent with the current social, economic and political state of their national and European contexts, while some members of migrant-origin communities with Muslim background generate an essentialist and radical form of Islamist discourse within the same societies? The main premise of this study is that various segments of the European public (radicalizing young members of both native populations and migrant-origin populations with Muslim background), who have been alienated and swept away by the flows of globalization such as deindustrialization, mobility, migration, tourism, social-economic inequalities, international trade, and robotic production, are more inclined to respectively adopt two mainstream political discourses: Islamophobism (for native populations) and Islamism (for Muslim-migrant-origin populations). Both discourses have become pivotal along with the rise of the civilizational rhetoric since the early 1990s. On the one hand, the neo-liberal age seems to be leading to the nativisation of radicalism among some groups of host populations while, on the other hand, it is leading to the islamization of radicalism among some segments of deprived migrant-origin populations. The common denominator of these groups is that they are both downwardly mobile and inclined towards radicalization. Hence, this project aims to scrutinize social, economic, political and psychological sources of the processes of radicalization among native European youth and Muslim-origin youth with migration background, who are both inclined to express their discontent through ethnicity, culture, religion, heritage, homogeneity, authenticity, past, gender and patriarchy. The field research will comprise four migrant receiving countries: Germany, France, Belgium, and the Netherlands, and two migrant sending countries: Turkey and Morocco.
Summary
The main research question of the study is: How and why do some European citizens generate a populist and Islamophobist discourse to express their discontent with the current social, economic and political state of their national and European contexts, while some members of migrant-origin communities with Muslim background generate an essentialist and radical form of Islamist discourse within the same societies? The main premise of this study is that various segments of the European public (radicalizing young members of both native populations and migrant-origin populations with Muslim background), who have been alienated and swept away by the flows of globalization such as deindustrialization, mobility, migration, tourism, social-economic inequalities, international trade, and robotic production, are more inclined to respectively adopt two mainstream political discourses: Islamophobism (for native populations) and Islamism (for Muslim-migrant-origin populations). Both discourses have become pivotal along with the rise of the civilizational rhetoric since the early 1990s. On the one hand, the neo-liberal age seems to be leading to the nativisation of radicalism among some groups of host populations while, on the other hand, it is leading to the islamization of radicalism among some segments of deprived migrant-origin populations. The common denominator of these groups is that they are both downwardly mobile and inclined towards radicalization. Hence, this project aims to scrutinize social, economic, political and psychological sources of the processes of radicalization among native European youth and Muslim-origin youth with migration background, who are both inclined to express their discontent through ethnicity, culture, religion, heritage, homogeneity, authenticity, past, gender and patriarchy. The field research will comprise four migrant receiving countries: Germany, France, Belgium, and the Netherlands, and two migrant sending countries: Turkey and Morocco.
Max ERC Funding
2 276 125 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym ISOBOREAL
Project Towards Understanding the Impact of Climate Change on Eurasian Boreal Forests: a Novel Stable Isotope Approach
Researcher (PI) Katja Teresa RINNE-GARMSTON
Host Institution (HI) LUONNONVARAKESKUS
Call Details Starting Grant (StG), PE10, ERC-2017-STG
Summary The vast boreal forests play a critical role in the carbon cycle. As a consequence of increasing temperature and atmospheric CO2, forest growth and subsequently carbon sequestration may be strongly affected. It is thus crucial to understand and predict the consequences of climate change on these ecosystems. Stable isotope analysis of tree rings represents a versatile archive where the effects of environmental changes are recorded. The main goal of the project is to obtain a better understanding of δ13C and δ18O in tree rings that can be used to infer the response of forests to climate change. The goal is achieved by a detailed analysis of the incorporation and fractionation of isotopes in trees using four novel methods: (1) We will measure compound-specific δ13C and δ18O of leaf sugars and (2) combine these with intra-annual δ13C and δ18O analysis of tree rings. The approaches are enabled by methodological developments made by me and ISOBOREAL collaborators (Rinne et al. 2012, Lehmann et al. 2016, Loader et al. in prep.). Our aim is to determine δ13C and δ18O dynamics of individual sugars in response to climatic and physiological factors, and to define how these signals are altered before being stored in tree rings. The improved mechanistic understanding will be applied on tree ring isotope chronologies to infer the response of the studied forests to climate change. (3) The fact that δ18O in tree rings is a mixture of source and leaf water signals is a major problem for its application on climate studies. To solve this we aim to separate the two signals using position-specific δ18O analysis on tree ring cellulose for the first time, which we will achieve by developing novel methods. (4) We will for the first time link the climate signal both in leaf sugars and annual rings with measured ecosystem exchange of greenhouse gases CO2 and H2O using eddy-covariance techniques.
Summary
The vast boreal forests play a critical role in the carbon cycle. As a consequence of increasing temperature and atmospheric CO2, forest growth and subsequently carbon sequestration may be strongly affected. It is thus crucial to understand and predict the consequences of climate change on these ecosystems. Stable isotope analysis of tree rings represents a versatile archive where the effects of environmental changes are recorded. The main goal of the project is to obtain a better understanding of δ13C and δ18O in tree rings that can be used to infer the response of forests to climate change. The goal is achieved by a detailed analysis of the incorporation and fractionation of isotopes in trees using four novel methods: (1) We will measure compound-specific δ13C and δ18O of leaf sugars and (2) combine these with intra-annual δ13C and δ18O analysis of tree rings. The approaches are enabled by methodological developments made by me and ISOBOREAL collaborators (Rinne et al. 2012, Lehmann et al. 2016, Loader et al. in prep.). Our aim is to determine δ13C and δ18O dynamics of individual sugars in response to climatic and physiological factors, and to define how these signals are altered before being stored in tree rings. The improved mechanistic understanding will be applied on tree ring isotope chronologies to infer the response of the studied forests to climate change. (3) The fact that δ18O in tree rings is a mixture of source and leaf water signals is a major problem for its application on climate studies. To solve this we aim to separate the two signals using position-specific δ18O analysis on tree ring cellulose for the first time, which we will achieve by developing novel methods. (4) We will for the first time link the climate signal both in leaf sugars and annual rings with measured ecosystem exchange of greenhouse gases CO2 and H2O using eddy-covariance techniques.
Max ERC Funding
1 814 610 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym ITHACA
Project Immuno-targeting of human AML quiescent cells by a novel phage display approach.
Researcher (PI) Pier Giuseppe PELICCI
Host Institution (HI) ISTITUTO EUROPEO DI ONCOLOGIA SRL
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary One main objective of our ERC Advanced Grant project (InMec, No 341131) was to determine how cancer stem cells (CSCs) contribute to tumour growth, and the relative impact of quiescent versus proliferative CSCs.
In Acute Myeloid Leukaemia (AML), our results strongly suggest that quiescent leukaemia stem cells are critical for leukaemia maintenance and relapse after treatments. AML is an aggressive and frequently fatal hematologic malignancy. It is usually sensitive to chemotherapy at its onset, leading to disease remission in most patients; however, the majority of patient will later relapse and eventually die. Notably, leukaemia stem cells are often resistant to chemotherapy.
We will use our innovative phage-display antibody screening platform to generate antibodies against AMLs. The screening will be performed directly on human AMLs growing in vivo, using an innovative mouse xenotransplantation model followed by an NGS-based antibody selection procedure. We plan to isolate antibodies that selectively recognize leukaemia stem cells, either quiescent or proliferating. Our primary goal is to develop novel therapeutic antibodies for the treatment of AMLs. This project will also indirectly confirm the hypothesis that leukaemia stem cells are the real fuel of the disease.
We expect that this project will lead to quick and cheap identification, cloning and validation of human recombinant antibodies towards against AML leukemic stem cells. The use of phage display technology to isolate leukemic stem cell-specific human recombinant antibodies is to our knowledge unprecedented.
The development of candidate antibodies against AMLs will be accompanied by the promotion of commercial/exploitation activities such as market and competition analyses, intellectual property management, and product and business development through the activities of our partner TTFactor.
Summary
One main objective of our ERC Advanced Grant project (InMec, No 341131) was to determine how cancer stem cells (CSCs) contribute to tumour growth, and the relative impact of quiescent versus proliferative CSCs.
In Acute Myeloid Leukaemia (AML), our results strongly suggest that quiescent leukaemia stem cells are critical for leukaemia maintenance and relapse after treatments. AML is an aggressive and frequently fatal hematologic malignancy. It is usually sensitive to chemotherapy at its onset, leading to disease remission in most patients; however, the majority of patient will later relapse and eventually die. Notably, leukaemia stem cells are often resistant to chemotherapy.
We will use our innovative phage-display antibody screening platform to generate antibodies against AMLs. The screening will be performed directly on human AMLs growing in vivo, using an innovative mouse xenotransplantation model followed by an NGS-based antibody selection procedure. We plan to isolate antibodies that selectively recognize leukaemia stem cells, either quiescent or proliferating. Our primary goal is to develop novel therapeutic antibodies for the treatment of AMLs. This project will also indirectly confirm the hypothesis that leukaemia stem cells are the real fuel of the disease.
We expect that this project will lead to quick and cheap identification, cloning and validation of human recombinant antibodies towards against AML leukemic stem cells. The use of phage display technology to isolate leukemic stem cell-specific human recombinant antibodies is to our knowledge unprecedented.
The development of candidate antibodies against AMLs will be accompanied by the promotion of commercial/exploitation activities such as market and competition analyses, intellectual property management, and product and business development through the activities of our partner TTFactor.
Max ERC Funding
150 000 €
Duration
Start date: 2018-01-01, End date: 2019-06-30
Project acronym KID
Project KiD: A low-cost KInematic Detector to assist early diagnosis and objective profiling of ASD
Researcher (PI) Cristina Becchio
Host Institution (HI) FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary Autism spectrum disorders (ASDs) are a heterogeneous set of neurodevelopmental disorders characterized by deficits in social communication and reciprocal interactions, as well as stereotypic behaviours. Although early diagnosis followed by appropriate intervention appears to offer the best chance for significant health improvement and economic gain, diagnosis of autism remains complex and often difficult to obtain. Recent identification of atypical kinematic patterns in children and infants at increased risk for ASDs provides new insights into autism diagnostic and objective profiling. KiD intends to help move these insights into the development of a low cost, easy-to-use, yet reliable wearable tracking system, designed to assist detection and classification of ASDs. The novelty of KiD is to combine informed development of machine learning methods to classify kinematic data with a co-design human factor engineering. KiD holds great potential for translational possibilities into autism clinical practice. The main use of the device will be to assist clinicians to achieve expedited diagnosis, ensuring early and timely access of children at risk of autism to evidence-based intervention programs. Another use will be to examine the quantitative nature of autistic traits, enabling new forms of precision-phenotyping, which is potentially useful for stratifying patients with ASD and developing individualized treatment approaches.
Summary
Autism spectrum disorders (ASDs) are a heterogeneous set of neurodevelopmental disorders characterized by deficits in social communication and reciprocal interactions, as well as stereotypic behaviours. Although early diagnosis followed by appropriate intervention appears to offer the best chance for significant health improvement and economic gain, diagnosis of autism remains complex and often difficult to obtain. Recent identification of atypical kinematic patterns in children and infants at increased risk for ASDs provides new insights into autism diagnostic and objective profiling. KiD intends to help move these insights into the development of a low cost, easy-to-use, yet reliable wearable tracking system, designed to assist detection and classification of ASDs. The novelty of KiD is to combine informed development of machine learning methods to classify kinematic data with a co-design human factor engineering. KiD holds great potential for translational possibilities into autism clinical practice. The main use of the device will be to assist clinicians to achieve expedited diagnosis, ensuring early and timely access of children at risk of autism to evidence-based intervention programs. Another use will be to examine the quantitative nature of autistic traits, enabling new forms of precision-phenotyping, which is potentially useful for stratifying patients with ASD and developing individualized treatment approaches.
Max ERC Funding
148 413 €
Duration
Start date: 2018-07-01, End date: 2019-12-31
Project acronym LASER OPTIMAL
Project Laser Ablation: SElectivity and monitoRing for OPTImal tuMor removAL
Researcher (PI) Paola SACCOMANDI
Host Institution (HI) POLITECNICO DI MILANO
Call Details Starting Grant (StG), PE8, ERC-2017-STG
Summary Laser Ablation (LA) was extensively investigated for its benefits as minimally invasive thermal therapy for tumor. Despite the LA pros as potential alternative to surgical resection (e.g., use of small fiber optics, echo-endoscope procedures and image-guidance without artifact), the lack of tools for safe and patient-specific treatment restrained its clinical use. LASER OPTIMAL offers a renaissance to LA for the practical management of challenging tumors (e.g., pancreatic cancer): it investigates and develops integrated solutions to achieve an effective and selective LA, that thermally destroys the whole tumor mass, while spearing the normal tissue around. The excellent ambition of LASER OPTIMAL is to achieve and merge: a) biocompatible nanoparticles (BNPs) injected in the tumor, to enhance the selective absorption of laser light; b) patient-specific anatomy of tumor and its surrounding, extracted from clinical images, to retrieve the optimal laser settings; c) accurate, fast and real-time heat-transfer model to simulate laser-tissue-BNPs interaction, predict and visualize the treatment dynamics; d) real-time temperature measurement system to monitor LA effects, account for unpredictable physiological events and tune the settings (closed-loop). The design of ex vivo and in vivo animal tests allows assessing the system performances and driving the possible workflow re-design. Finally, human trials are envisaged to prove the significant impact of the LASER OPTIMAL paradigm. The collaboration of researchers, engineers and clinicians will drive the use of this innovative strategy in clinical routine. The research on the patient-specific system for the mini-invasive tumors removal, and the ground-breaking insights on clinical use of BNPs will strongly impact on EU healthcare system and society, by creating a novel product. This paradigm is also embeddable in existing system of industrial partner, extendable to other procedures, thus able to encourage a dedicated market.
Summary
Laser Ablation (LA) was extensively investigated for its benefits as minimally invasive thermal therapy for tumor. Despite the LA pros as potential alternative to surgical resection (e.g., use of small fiber optics, echo-endoscope procedures and image-guidance without artifact), the lack of tools for safe and patient-specific treatment restrained its clinical use. LASER OPTIMAL offers a renaissance to LA for the practical management of challenging tumors (e.g., pancreatic cancer): it investigates and develops integrated solutions to achieve an effective and selective LA, that thermally destroys the whole tumor mass, while spearing the normal tissue around. The excellent ambition of LASER OPTIMAL is to achieve and merge: a) biocompatible nanoparticles (BNPs) injected in the tumor, to enhance the selective absorption of laser light; b) patient-specific anatomy of tumor and its surrounding, extracted from clinical images, to retrieve the optimal laser settings; c) accurate, fast and real-time heat-transfer model to simulate laser-tissue-BNPs interaction, predict and visualize the treatment dynamics; d) real-time temperature measurement system to monitor LA effects, account for unpredictable physiological events and tune the settings (closed-loop). The design of ex vivo and in vivo animal tests allows assessing the system performances and driving the possible workflow re-design. Finally, human trials are envisaged to prove the significant impact of the LASER OPTIMAL paradigm. The collaboration of researchers, engineers and clinicians will drive the use of this innovative strategy in clinical routine. The research on the patient-specific system for the mini-invasive tumors removal, and the ground-breaking insights on clinical use of BNPs will strongly impact on EU healthcare system and society, by creating a novel product. This paradigm is also embeddable in existing system of industrial partner, extendable to other procedures, thus able to encourage a dedicated market.
Max ERC Funding
1 499 575 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym LIFETimeS
Project Light-Induced Function: from Excitation to Signal through Time and Space
Researcher (PI) Benedetta MENNUCCI
Host Institution (HI) UNIVERSITA DI PISA
Call Details Advanced Grant (AdG), PE4, ERC-2017-ADG
Summary Organisms of all domains of life are capable of sensing, using and responding to light. The molecular mechanisms used are diverse, but most commonly the starting event is an electronic excitation localized on a chromophoric unit bound to a protein matrix. The initial excitation rapidly “travels” across space to be converted in other forms of energy and finally used to complete the biological function. The whole machinery spans many different space and time scales: from the ultrafast electronic process localized at the subnanoscale of the chromophoric units, through conformational processes which involve large parts of the protein and are completed within micro- to milli-seconds, up to the activation of new protein-protein interactions requiring seconds or more. Theoretically addressing this cascade of processes calls for new models and computational strategies able to reproduce the dynamics across multiple space and time scales. Such a goal is formidably challenging as the interactions and the dynamics involved at each scale follow completely different laws, from those of the quantum world to those of classical particles. Only a strategy based upon the integration of quantum chemistry, classical atomistic and coarse-grained models up to continuum approximations, can achieve the required completeness of description. This project aims at developing such integration and transforming it into high-performance computing codes. The completeness and accuracy reached by the simulations will represent a breakthrough in our understanding of the mechanisms, which govern the light-driven bioactivity. Through this novel point of observation of the action from the “inside”, it will be possible not only to reveal the ‘design principles’ used by Nature but also to give a “practical” instrument to test “in silico” new techniques for the control of cellular processes by manipulating protein functions through light.
Summary
Organisms of all domains of life are capable of sensing, using and responding to light. The molecular mechanisms used are diverse, but most commonly the starting event is an electronic excitation localized on a chromophoric unit bound to a protein matrix. The initial excitation rapidly “travels” across space to be converted in other forms of energy and finally used to complete the biological function. The whole machinery spans many different space and time scales: from the ultrafast electronic process localized at the subnanoscale of the chromophoric units, through conformational processes which involve large parts of the protein and are completed within micro- to milli-seconds, up to the activation of new protein-protein interactions requiring seconds or more. Theoretically addressing this cascade of processes calls for new models and computational strategies able to reproduce the dynamics across multiple space and time scales. Such a goal is formidably challenging as the interactions and the dynamics involved at each scale follow completely different laws, from those of the quantum world to those of classical particles. Only a strategy based upon the integration of quantum chemistry, classical atomistic and coarse-grained models up to continuum approximations, can achieve the required completeness of description. This project aims at developing such integration and transforming it into high-performance computing codes. The completeness and accuracy reached by the simulations will represent a breakthrough in our understanding of the mechanisms, which govern the light-driven bioactivity. Through this novel point of observation of the action from the “inside”, it will be possible not only to reveal the ‘design principles’ used by Nature but also to give a “practical” instrument to test “in silico” new techniques for the control of cellular processes by manipulating protein functions through light.
Max ERC Funding
2 400 000 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym LIGHTUP
Project Turning the cortically blind brain to see: from neural computations to system dynamicsgenerating visual awareness in humans and monkeys
Researcher (PI) Marco TAMIETTO
Host Institution (HI) UNIVERSITA DEGLI STUDI DI TORINO
Call Details Consolidator Grant (CoG), SH4, ERC-2017-COG
Summary Visual awareness affords flexibility and experiential richness, and its loss following brain damage has devastating effects. However, patients with blindness following cortical damage may retain visual functions, despite visual awareness is lacking (blindsight). But, how can we translate non-conscious visual abilities into conscious ones after damage to the visual cortex? To place our understanding of visual awareness on firm neurobiological and mechanistic bases, I propose to integrate human and monkey neuroscience. Next, I will translate this wisdom into evidence-based clinical intervention. First, LIGHTUP will apply computational neuroimaging methods at the micro-scale level, estimating population receptive fields in humans and monkeys. This will enable analyzing fMRI signal similar to the way tuning properties are studied in neurophysiology, and to clarify how brain areas translate visual properties into responses associated with awareness. Second, LIGHTUP leverages a behavioural paradigm that can dissociate nonconscious visual abilities from awareness in monkeys, thus offering a refined animal model of visual awareness. Applying behavioural-Dynamic Causal Modelling to combine fMRI and behavioral data, LIGHTUP will build up a Bayesian framework that specifies the directionality of information flow in the interactions across distant brain areas, and their causal role in generating visual awareness. In the third part, I will devise a rehabilitation protocol that combines brain stimulation and visual training to promote the (re)emergence of lost visual awareness. LIGHTUP will exploit non-invasive transcranial magnetic stimulation (TMS) in a novel protocol that enables stimulation of complex cortical circuits and selection of the direction of connectivity that is enhanced. This associative stimulation has been proven to induce Hebbian plasticity, and we have piloted its effects in fostering visual awareness in association with visual restoration training.
Summary
Visual awareness affords flexibility and experiential richness, and its loss following brain damage has devastating effects. However, patients with blindness following cortical damage may retain visual functions, despite visual awareness is lacking (blindsight). But, how can we translate non-conscious visual abilities into conscious ones after damage to the visual cortex? To place our understanding of visual awareness on firm neurobiological and mechanistic bases, I propose to integrate human and monkey neuroscience. Next, I will translate this wisdom into evidence-based clinical intervention. First, LIGHTUP will apply computational neuroimaging methods at the micro-scale level, estimating population receptive fields in humans and monkeys. This will enable analyzing fMRI signal similar to the way tuning properties are studied in neurophysiology, and to clarify how brain areas translate visual properties into responses associated with awareness. Second, LIGHTUP leverages a behavioural paradigm that can dissociate nonconscious visual abilities from awareness in monkeys, thus offering a refined animal model of visual awareness. Applying behavioural-Dynamic Causal Modelling to combine fMRI and behavioral data, LIGHTUP will build up a Bayesian framework that specifies the directionality of information flow in the interactions across distant brain areas, and their causal role in generating visual awareness. In the third part, I will devise a rehabilitation protocol that combines brain stimulation and visual training to promote the (re)emergence of lost visual awareness. LIGHTUP will exploit non-invasive transcranial magnetic stimulation (TMS) in a novel protocol that enables stimulation of complex cortical circuits and selection of the direction of connectivity that is enhanced. This associative stimulation has been proven to induce Hebbian plasticity, and we have piloted its effects in fostering visual awareness in association with visual restoration training.
Max ERC Funding
1 994 212 €
Duration
Start date: 2018-08-01, End date: 2023-07-31
Project acronym LiLa
Project Linking Latin. Building a Knowledge Base of Linguistic Resources for Latin
Researcher (PI) Marco Carlo PASSAROTTI
Host Institution (HI) UNIVERSITA CATTOLICA DEL SACRO CUORE
Call Details Consolidator Grant (CoG), SH5, ERC-2017-COG
Summary Although the research area dealing with building, sharing and exploiting linguistic resources and tools for automatic processing of Latin (and, more generally, of ancient languages) has seen a large growth across the last decade, linguistic resources for Latin are still not interoperable. This means that linguistic information is split up in many products that just do not talk to each other.
Such a situation results in poor exploitation of the richness provided by all those digital objects for Latin that were produced across years of work. Since Latin is a dead language (thus missing native speakers), all we can and must do is to exploit to the best the information contained in those few and precious texts that survived from the past. This means:
- to make the best possible organization and use of the available linguistic resources for Latin (enhanced with web-services for Natural Language Processing – NLP –) for a fruitful integration of the information they provide, i.e. to retrieve and combine information from different sources in the most efficient way;
- to make it available linguistic resources whose quality is assessed (curated data sets).
The objective of the LiLa project is to connect and, ultimately, to exploit the wealth of linguistic resources and NLP tools for Latin assembled so far, in order to bridge the gap between raw language data, NLP and knowledge descriptions, thus enabling scholars to exploit to the best the currently available resources and tools.
To address such a challenge, LiLa intends to incorporate the linguistic resources for Latin into the Linked Data framework, making it possible for them to be published and interlinked on the web and to interact with each other. To this aim, the project will build an open-ended knowledge base for Latin by using the Linked Data paradigm to combine data from disparate linguistic resources, provide NLP web-services and include also Latin into the multilingual Linguistic Linked Open Data cloud.
Summary
Although the research area dealing with building, sharing and exploiting linguistic resources and tools for automatic processing of Latin (and, more generally, of ancient languages) has seen a large growth across the last decade, linguistic resources for Latin are still not interoperable. This means that linguistic information is split up in many products that just do not talk to each other.
Such a situation results in poor exploitation of the richness provided by all those digital objects for Latin that were produced across years of work. Since Latin is a dead language (thus missing native speakers), all we can and must do is to exploit to the best the information contained in those few and precious texts that survived from the past. This means:
- to make the best possible organization and use of the available linguistic resources for Latin (enhanced with web-services for Natural Language Processing – NLP –) for a fruitful integration of the information they provide, i.e. to retrieve and combine information from different sources in the most efficient way;
- to make it available linguistic resources whose quality is assessed (curated data sets).
The objective of the LiLa project is to connect and, ultimately, to exploit the wealth of linguistic resources and NLP tools for Latin assembled so far, in order to bridge the gap between raw language data, NLP and knowledge descriptions, thus enabling scholars to exploit to the best the currently available resources and tools.
To address such a challenge, LiLa intends to incorporate the linguistic resources for Latin into the Linked Data framework, making it possible for them to be published and interlinked on the web and to interact with each other. To this aim, the project will build an open-ended knowledge base for Latin by using the Linked Data paradigm to combine data from disparate linguistic resources, provide NLP web-services and include also Latin into the multilingual Linguistic Linked Open Data cloud.
Max ERC Funding
1 984 500 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym LoCoLight
Project Low cost coherent light sources from nanoparticle array surface plasmon polariton systems
Researcher (PI) Päivi TÖRMÄ
Host Institution (HI) AALTO KORKEAKOULUSAATIO SR
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary Low cost coherent light sources from nanoparticle array surface plasmon polariton systems
Lasers are ubiquitous sources of coherent light used in technology and everyday life, from optical communications enabling the internet to the lasers used in manufacturing, medical care and information storage. Coherent light sources with a small footprint, that are ultrafast and low cost, have low energy consumption could be used in sensor, switch and biomedical applications. Based on recent results of the PI's ERC Advanced project, nanolasers (lasers operating below the diffraction limit) that utilize non-radiative, so-called dark states have recently been demonstrated with organic materials. We have also just achieved a Bose-Einstein condensate (BEC) of photons in a similar system, which produces coherent light like a laser, but its formation mechanism is different: thermalization followed by bosonic stimulation, instead of just stimulated emission as in a laser. Thus, the usage and operation conditions of a luminous BEC can be complementary to a laser. This project will make such novel nanoscale coherent light sources cheap enough to be used in practical applications and demonstrate their use for example in sensor systems.
Summary
Low cost coherent light sources from nanoparticle array surface plasmon polariton systems
Lasers are ubiquitous sources of coherent light used in technology and everyday life, from optical communications enabling the internet to the lasers used in manufacturing, medical care and information storage. Coherent light sources with a small footprint, that are ultrafast and low cost, have low energy consumption could be used in sensor, switch and biomedical applications. Based on recent results of the PI's ERC Advanced project, nanolasers (lasers operating below the diffraction limit) that utilize non-radiative, so-called dark states have recently been demonstrated with organic materials. We have also just achieved a Bose-Einstein condensate (BEC) of photons in a similar system, which produces coherent light like a laser, but its formation mechanism is different: thermalization followed by bosonic stimulation, instead of just stimulated emission as in a laser. Thus, the usage and operation conditions of a luminous BEC can be complementary to a laser. This project will make such novel nanoscale coherent light sources cheap enough to be used in practical applications and demonstrate their use for example in sensor systems.
Max ERC Funding
149 895 €
Duration
Start date: 2018-06-01, End date: 2019-11-30
Project acronym MAIDEN
Project Masses, isomers and decay studies for elemental nucleosynthesis
Researcher (PI) Anu KANKAINEN
Host Institution (HI) JYVASKYLAN YLIOPISTO
Call Details Consolidator Grant (CoG), PE2, ERC-2017-COG
Summary About half of the elements heavier than iron have been produced via the rapid neutron capture process, the r process. Its astrophysical site has been one of the biggest outstanding questions in physics. Neutrino-driven winds from proto-neutron stars created in core-collapse supernovae were long considered as the most favourable site for the r process. Recently, neutron-star mergers have become the most promising candidates, and new exciting observations from these compact objects, such as gravitational waves, are expected in the coming years. In order to constrain the astrophysical site for the r process, nuclear binding energies (i.e. masses) of exotic neutron-rich nuclei are needed because they determine the path for the process and therefore have a direct effect on the final isotopic abundances. In this project, high-precision mass measurements will be performed in three regions relevant for the r process, employing novel production and measurement techniques at the IGISOL facility in JYFL-ACCLAB. Long-living isomeric states, which also play a role in the r process, will be resolved from the ground states to obtain accurate mass values. Post-trap decay spectroscopy will be performed to confirm which state has been measured in order to avoid systematic uncertainties in the mass values. The new data will be compared with theoretical mass models and included in r-process calculations performed for various astrophysical sites. MAIDEN will advance our knowledge of nuclear structure far from stability and reduce nuclear data uncertainties in the r-process calculations, which can potentially constrain the astrophysical site for the r process and lead to a scientific breakthrough in our understanding of the origin of elements heavier than iron in the universe.
Summary
About half of the elements heavier than iron have been produced via the rapid neutron capture process, the r process. Its astrophysical site has been one of the biggest outstanding questions in physics. Neutrino-driven winds from proto-neutron stars created in core-collapse supernovae were long considered as the most favourable site for the r process. Recently, neutron-star mergers have become the most promising candidates, and new exciting observations from these compact objects, such as gravitational waves, are expected in the coming years. In order to constrain the astrophysical site for the r process, nuclear binding energies (i.e. masses) of exotic neutron-rich nuclei are needed because they determine the path for the process and therefore have a direct effect on the final isotopic abundances. In this project, high-precision mass measurements will be performed in three regions relevant for the r process, employing novel production and measurement techniques at the IGISOL facility in JYFL-ACCLAB. Long-living isomeric states, which also play a role in the r process, will be resolved from the ground states to obtain accurate mass values. Post-trap decay spectroscopy will be performed to confirm which state has been measured in order to avoid systematic uncertainties in the mass values. The new data will be compared with theoretical mass models and included in r-process calculations performed for various astrophysical sites. MAIDEN will advance our knowledge of nuclear structure far from stability and reduce nuclear data uncertainties in the r-process calculations, which can potentially constrain the astrophysical site for the r process and lead to a scientific breakthrough in our understanding of the origin of elements heavier than iron in the universe.
Max ERC Funding
1 999 575 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym MEMETRE
Project From processes to modelling of methane emissions from trees
Researcher (PI) Mari PIHLATIE
Host Institution (HI) HELSINGIN YLIOPISTO
Call Details Starting Grant (StG), PE10, ERC-2017-STG
Summary Atmospheric concentration of the strong greenhouse gas methane (CH4) is rising with an increased annual growth rate. Biosphere has an important role in the global CH4 budget, but high uncertainties remain in the strength of its different sink and source components. Among the natural sources, the contribution of vegetation to the global CH4 budget is the least well understood. Role of trees to the CH4 budget of forest ecosystems has long been overlooked due to the perception that trees do not play a role in the CH4 dynamics. Methanogenic Archaea were long considered as the sole CH4 producing organisms, while new findings of aerobic CH4 production in terrestrial vegetation and in fungi show our incomplete understanding of the CH4 cycling processes. Enclosure measurements from trees reveal that trees can emit CH4 and may substantially contribute to the net CH4 exchange of forests.
The main aim of MEMETRE project is to raise the process-based understanding of CH4 exchange in boreal and temperate forests to the level where we can construct a sound process model for the soil-tree-atmosphere CH4 exchange. We will achieve this by novel laboratory and field experiment focusing on newly identified processes, quantifying CH4 fluxes, seasonal and daily variability and drivers of CH4 at leaf-level, tree and ecosystem level. We use novel CH4 flux measurement techniques to identify the roles of fungal and methanogenic production and transport mechanisms to the CH4 emission from trees, and we synthesize the experimental work to build a process model including CH4 exchange processes within trees and the soil, transport of CH4 between the soil and the trees, and transport of CH4 within the trees. The project will revolutionize our understanding of CH4 flux dynamics in forest ecosystems. It will significantly narrow down the high uncertainties in boreal and temperate forests for their contribution to the global CH4 budget.
Summary
Atmospheric concentration of the strong greenhouse gas methane (CH4) is rising with an increased annual growth rate. Biosphere has an important role in the global CH4 budget, but high uncertainties remain in the strength of its different sink and source components. Among the natural sources, the contribution of vegetation to the global CH4 budget is the least well understood. Role of trees to the CH4 budget of forest ecosystems has long been overlooked due to the perception that trees do not play a role in the CH4 dynamics. Methanogenic Archaea were long considered as the sole CH4 producing organisms, while new findings of aerobic CH4 production in terrestrial vegetation and in fungi show our incomplete understanding of the CH4 cycling processes. Enclosure measurements from trees reveal that trees can emit CH4 and may substantially contribute to the net CH4 exchange of forests.
The main aim of MEMETRE project is to raise the process-based understanding of CH4 exchange in boreal and temperate forests to the level where we can construct a sound process model for the soil-tree-atmosphere CH4 exchange. We will achieve this by novel laboratory and field experiment focusing on newly identified processes, quantifying CH4 fluxes, seasonal and daily variability and drivers of CH4 at leaf-level, tree and ecosystem level. We use novel CH4 flux measurement techniques to identify the roles of fungal and methanogenic production and transport mechanisms to the CH4 emission from trees, and we synthesize the experimental work to build a process model including CH4 exchange processes within trees and the soil, transport of CH4 between the soil and the trees, and transport of CH4 within the trees. The project will revolutionize our understanding of CH4 flux dynamics in forest ecosystems. It will significantly narrow down the high uncertainties in boreal and temperate forests for their contribution to the global CH4 budget.
Max ERC Funding
1 908 652 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym METAMAPPER
Project Super-resolution genomic mapping for the microbiome
Researcher (PI) Johan HOFKENS
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary Animals and bacteria have been working together for about as long as they have co-existed, long before the advent of mankind. The bodies of our ancient ancestors offered protected, nutrient-rich habitats for bacteria. In return, animals could take an evolutionary short-cut to developing new capabilities by ‘borrowing’ bacterial genes. Indeed, when gut bacteria assist with the digestion of e.g. dietary fiber, the resulting metabolites will subsequently exert an influence on an intricate network of host molecular pathways. Gut microbiota, in addition to host genetics, can therefore constitute a major factor in the etiology of complex disorders, ranging from obesity, cardiovascular disease, autoimmune disease (multiple sclerosis, rheumatoid arthrosis), inflammation (inflammatory bowel disease, Crohn’s) to neurological conditions.
Although such a key role for the human microbiomes had been postulated for some time, many details on the delicate interplay between flora and host remained unknown, largely because suitable methods for uncovering these host-guest interactions were simply not available. These technological barriers keep the diagnostic and therapeutic potential of the microbiome largely untapped. In this project, we will validate the FLUROCODE genomic mapping technology as an alternative to shotgun sequencing and amplicon based techniques for microbiome studies. This will extend the benefits of genomic mapping techniques to complex sample analysis. Through a head-to-head comparison with the state of the art in metagenomic analysis, the POC data will serve as a key enabler for the transfer of the technology platform into a separate venture, working towards diagnostic applications and developing METAMAPPER based microbiome screening as a routine medical tool. The METAMAPPER microbiome readout technology is be perfectly placed to be part of the evolution of microbiome analysis to clinical application.
Summary
Animals and bacteria have been working together for about as long as they have co-existed, long before the advent of mankind. The bodies of our ancient ancestors offered protected, nutrient-rich habitats for bacteria. In return, animals could take an evolutionary short-cut to developing new capabilities by ‘borrowing’ bacterial genes. Indeed, when gut bacteria assist with the digestion of e.g. dietary fiber, the resulting metabolites will subsequently exert an influence on an intricate network of host molecular pathways. Gut microbiota, in addition to host genetics, can therefore constitute a major factor in the etiology of complex disorders, ranging from obesity, cardiovascular disease, autoimmune disease (multiple sclerosis, rheumatoid arthrosis), inflammation (inflammatory bowel disease, Crohn’s) to neurological conditions.
Although such a key role for the human microbiomes had been postulated for some time, many details on the delicate interplay between flora and host remained unknown, largely because suitable methods for uncovering these host-guest interactions were simply not available. These technological barriers keep the diagnostic and therapeutic potential of the microbiome largely untapped. In this project, we will validate the FLUROCODE genomic mapping technology as an alternative to shotgun sequencing and amplicon based techniques for microbiome studies. This will extend the benefits of genomic mapping techniques to complex sample analysis. Through a head-to-head comparison with the state of the art in metagenomic analysis, the POC data will serve as a key enabler for the transfer of the technology platform into a separate venture, working towards diagnostic applications and developing METAMAPPER based microbiome screening as a routine medical tool. The METAMAPPER microbiome readout technology is be perfectly placed to be part of the evolution of microbiome analysis to clinical application.
Max ERC Funding
149 875 €
Duration
Start date: 2017-12-01, End date: 2019-05-31
Project acronym MetaRegulation
Project Metabolic regulation of metastatic growth
Researcher (PI) Sarah-Maria FENDT
Host Institution (HI) VIB
Call Details Consolidator Grant (CoG), LS4, ERC-2017-COG
Summary Metastatic growth of cancer cells requires extracellular matrix (ECM) production. The current understanding is that transcription factors regulate ECM production and thus metastatic growth by increasing the expression of collagen prolyl 4-hydroxylase (CP4H). In contrast, we recently discovered that metabolism regulates CP4H activity independently of the known transcription factors. Specifically, we found that loss of pyruvate metabolism inhibits CP4H activity and consequently ECM–dependent breast cancer cell growth. Based on this discovery we propose the novel concept that metabolism regulates metastatic growth by increasing ECM production.
In this project we will investigate the following questions: 1) What is the mechanism by which pyruvate regulates CP4H activity in breast cancer cells? To address this question we will investigate pyruvate metabolism and ECM production in 3D cultures of various breast cancer cell lines using 13C tracer analysis, metabolomics, and two-photon microscopy based ECM visualization. 2) How can this novel metabolic regulation be exploited to inhibit breast cancer-derived lung metastases growth? To address this question we will inhibit pyruvate metabolism in metastatic breast cancer mouse models using genetically modified cells and small molecules in combination with immuno- and chemotherapy. 3) How can this novel regulation be translated to different metastatic sites and cancers of different origin? To address this question we will determine the in vivo metabolism of breast cancer-, lung cancer-, and melanoma-derived liver and lung metastases (using metabolomics and 13C tracer analysis), and link it to ECM production (using two-photon microscopy based ECM visualization).
With this project we will deliver a novel concept by which metabolism regulates metastatic growth. In a long-term perspective we expect that targeting this novel metabolic regulation will pave the way for an unexplored approach to treat cancer metastases.
Summary
Metastatic growth of cancer cells requires extracellular matrix (ECM) production. The current understanding is that transcription factors regulate ECM production and thus metastatic growth by increasing the expression of collagen prolyl 4-hydroxylase (CP4H). In contrast, we recently discovered that metabolism regulates CP4H activity independently of the known transcription factors. Specifically, we found that loss of pyruvate metabolism inhibits CP4H activity and consequently ECM–dependent breast cancer cell growth. Based on this discovery we propose the novel concept that metabolism regulates metastatic growth by increasing ECM production.
In this project we will investigate the following questions: 1) What is the mechanism by which pyruvate regulates CP4H activity in breast cancer cells? To address this question we will investigate pyruvate metabolism and ECM production in 3D cultures of various breast cancer cell lines using 13C tracer analysis, metabolomics, and two-photon microscopy based ECM visualization. 2) How can this novel metabolic regulation be exploited to inhibit breast cancer-derived lung metastases growth? To address this question we will inhibit pyruvate metabolism in metastatic breast cancer mouse models using genetically modified cells and small molecules in combination with immuno- and chemotherapy. 3) How can this novel regulation be translated to different metastatic sites and cancers of different origin? To address this question we will determine the in vivo metabolism of breast cancer-, lung cancer-, and melanoma-derived liver and lung metastases (using metabolomics and 13C tracer analysis), and link it to ECM production (using two-photon microscopy based ECM visualization).
With this project we will deliver a novel concept by which metabolism regulates metastatic growth. In a long-term perspective we expect that targeting this novel metabolic regulation will pave the way for an unexplored approach to treat cancer metastases.
Max ERC Funding
2 000 000 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym MICRONEX
Project Microbioreactor platforms as in vivo-like systems to probe the role of Neuroblastoma-derived Exosomes in cancer dissemination
Researcher (PI) Elisa CIMETTA
Host Institution (HI) UNIVERSITA DEGLI STUDI DI PADOVA
Call Details Starting Grant (StG), PE8, ERC-2017-STG
Summary Engineers can actively contribute to fields thought to be out of their “comfort zones”. We can be leaders of discoveries that translate into advances in the understanding of disease and improving human health. Engineers might use different language and tools than Life Sciences Scientists but we find a common ground, as the laws of Thermodynamics, Physics, and Mathematics also apply to biological phenomena.
The development of microbioreactors (μBRs) reconstructing biologically sound niches can revolutionize medical research.
In our bodies cells reside in a complex milieu, the microenvironment (μEnv), regulating their fate and function. Most of this complexity is lacking in standard laboratory models, leading to readouts poorly predicting the in vivo situation. This is particularly felt in cancer research, as tumors are extremely heterogeneous and capable of conditioning both the local μEnv and distant organs. Neuroblastoma (NB) is the most common and difficult to cure pediatric malignant solid tumor. Secreted exosomes are means by which NBs reshape their μEnv and induce local and long-range changes in cells, regulating progression and prognosis. But the mechanisms involved are yet not completely understood. A major limitation is the difficulty to model in vitro the local in vivo dynamic μEnv.
We hypothesize that μBRs exploiting classical engineering principles will solve the limitations of existing classical culture models.
We propose to develop platforms and test their edge over classical approaches in decoding the role of exosomes and μEnv in NB. Our μBRs generate time and space-resolved concentration gradients, support fast dynamic changes and reconstruct complex interactions between cells and tissues while performing multifactorial and parallelized experiments.
We expect that our technologies will bridge the gap between in vitro techniques and in vivo biological phenomena leading to significant and novel results, shedding light on previously unexplored scenarios.
Summary
Engineers can actively contribute to fields thought to be out of their “comfort zones”. We can be leaders of discoveries that translate into advances in the understanding of disease and improving human health. Engineers might use different language and tools than Life Sciences Scientists but we find a common ground, as the laws of Thermodynamics, Physics, and Mathematics also apply to biological phenomena.
The development of microbioreactors (μBRs) reconstructing biologically sound niches can revolutionize medical research.
In our bodies cells reside in a complex milieu, the microenvironment (μEnv), regulating their fate and function. Most of this complexity is lacking in standard laboratory models, leading to readouts poorly predicting the in vivo situation. This is particularly felt in cancer research, as tumors are extremely heterogeneous and capable of conditioning both the local μEnv and distant organs. Neuroblastoma (NB) is the most common and difficult to cure pediatric malignant solid tumor. Secreted exosomes are means by which NBs reshape their μEnv and induce local and long-range changes in cells, regulating progression and prognosis. But the mechanisms involved are yet not completely understood. A major limitation is the difficulty to model in vitro the local in vivo dynamic μEnv.
We hypothesize that μBRs exploiting classical engineering principles will solve the limitations of existing classical culture models.
We propose to develop platforms and test their edge over classical approaches in decoding the role of exosomes and μEnv in NB. Our μBRs generate time and space-resolved concentration gradients, support fast dynamic changes and reconstruct complex interactions between cells and tissues while performing multifactorial and parallelized experiments.
We expect that our technologies will bridge the gap between in vitro techniques and in vivo biological phenomena leading to significant and novel results, shedding light on previously unexplored scenarios.
Max ERC Funding
1 446 250 €
Duration
Start date: 2017-12-01, End date: 2022-11-30
Project acronym MIMAT
Project From Micro to Macro: Aggregate Implications of Firm-Level Heterogeneity in International Trade
Researcher (PI) Gianmarco OTTAVIANO
Host Institution (HI) UNIVERSITA COMMERCIALE LUIGI BOCCONI
Call Details Advanced Grant (AdG), SH1, ERC-2017-ADG
Summary What determines the patterns of international trade and the associated welfare effects? Can individual
incentives to trade diverge from societal objectives? Should governments intervene to promote or restrict
international transactions? Questions like these have recently gained new salience, in Europe and elsewhere,
due to renewed protectionist pressures and resurgent nationalistic tendencies arising from diffuse
disenchantment with globalization.
The aim of the research project is to highlighting key dimensions along which the answers to these questions
obtained from conventional trade models with homogenous firms should be revisited in the light of
permanent pervasive firm heterogeneity. In particular, the project will pursue four specific objectives through
four integrated work packages providing new insights on how firm heterogeneity affects: (1) the ability of
markets to deliver allocative efficiency; (2) The design of optimal multilateral trade policies; (3) The
comparative advantages of countries; (4) The capabilities of a country as an exporter.
The first work package will investigate whether the allocative inefficiency (“misallocation”) determined by
firm heterogeneity in the presence of pricing distortions is quantitatively relevant for a country’s aggregate
economic performance, and whether economic integration reduces or exacerbates such misallocation. The
second work package will develop the theoretical implications of firm heterogeneity for trade policy, with
special emphasis on the cooperative design of optimal multilateral trade agreements aimed at maximizing the
joint welfare of all trade partners. The third work package will study how country, sector and firm
characteristics interact to determine countries’ responses to trade liberalization. The fourth work package
will investigate the distinct role of firm heterogeneity in determining a country’s ability to export through the
shape of the productivity distribution of its producers.
Summary
What determines the patterns of international trade and the associated welfare effects? Can individual
incentives to trade diverge from societal objectives? Should governments intervene to promote or restrict
international transactions? Questions like these have recently gained new salience, in Europe and elsewhere,
due to renewed protectionist pressures and resurgent nationalistic tendencies arising from diffuse
disenchantment with globalization.
The aim of the research project is to highlighting key dimensions along which the answers to these questions
obtained from conventional trade models with homogenous firms should be revisited in the light of
permanent pervasive firm heterogeneity. In particular, the project will pursue four specific objectives through
four integrated work packages providing new insights on how firm heterogeneity affects: (1) the ability of
markets to deliver allocative efficiency; (2) The design of optimal multilateral trade policies; (3) The
comparative advantages of countries; (4) The capabilities of a country as an exporter.
The first work package will investigate whether the allocative inefficiency (“misallocation”) determined by
firm heterogeneity in the presence of pricing distortions is quantitatively relevant for a country’s aggregate
economic performance, and whether economic integration reduces or exacerbates such misallocation. The
second work package will develop the theoretical implications of firm heterogeneity for trade policy, with
special emphasis on the cooperative design of optimal multilateral trade agreements aimed at maximizing the
joint welfare of all trade partners. The third work package will study how country, sector and firm
characteristics interact to determine countries’ responses to trade liberalization. The fourth work package
will investigate the distinct role of firm heterogeneity in determining a country’s ability to export through the
shape of the productivity distribution of its producers.
Max ERC Funding
1 335 694 €
Duration
Start date: 2018-10-01, End date: 2023-09-30
Project acronym MINIRES
Project A Minimalist Peptide Elastomer
Researcher (PI) Pierangelo METRANGOLO
Host Institution (HI) POLITECNICO DI MILANO
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary The MINIRES project aims at developing and bringing to the market a revolutionary bioelastomer material based on a novel strategy of structural modification of a “minimalist” peptide sequence derived from Resilin (Res), i.e., a polymeric rubber-like natural protein with outstanding elasticity, critical in the flight and jumping systems of insects. In the course of the ERC funded Starting Grant FOLDHALO (grant agreement no. 307108), I focused on the modification of a repeat sequence of the Exon-1 (~320 amino acids) of Res. We found that a biomimetic chemical modification of this sequence (i.e., halogenation) induces the emergence of elastomeric properties resembling those of the full-length Res protein. This is surprising for such a short peptide, and the unmodified peptide, in fact, does not show such properties. Halogenation determines a huge change in the material properties due to the induced physical (supramolecular) cross-linking of the peptide chains. The main advantage of the novel “minimalist” bioelastomer that we developed lies in its chemical and structural simplicity. This simplicity allows foreseeing easy industrial scalability at low costs, trivial processing, either as pure compound or component of elastomeric formulations, as well as possibility of further chemical and structural modifications (opening up a family of small elastomeric peptides). Expected outcomes of the MINIRES project are to perform a technical and commercial feasibility study to move the developed “minimalist” bioelastomer from the lab to the market. In particular, within the MINIRES project, we intend to accelerate the maturity level of this technology, by technically validating it, as well as scouting market opportunities and setting up a suitable exploitation strategy (licensing vs. start-up creation) for valorizing the patent that has being deposited.
Summary
The MINIRES project aims at developing and bringing to the market a revolutionary bioelastomer material based on a novel strategy of structural modification of a “minimalist” peptide sequence derived from Resilin (Res), i.e., a polymeric rubber-like natural protein with outstanding elasticity, critical in the flight and jumping systems of insects. In the course of the ERC funded Starting Grant FOLDHALO (grant agreement no. 307108), I focused on the modification of a repeat sequence of the Exon-1 (~320 amino acids) of Res. We found that a biomimetic chemical modification of this sequence (i.e., halogenation) induces the emergence of elastomeric properties resembling those of the full-length Res protein. This is surprising for such a short peptide, and the unmodified peptide, in fact, does not show such properties. Halogenation determines a huge change in the material properties due to the induced physical (supramolecular) cross-linking of the peptide chains. The main advantage of the novel “minimalist” bioelastomer that we developed lies in its chemical and structural simplicity. This simplicity allows foreseeing easy industrial scalability at low costs, trivial processing, either as pure compound or component of elastomeric formulations, as well as possibility of further chemical and structural modifications (opening up a family of small elastomeric peptides). Expected outcomes of the MINIRES project are to perform a technical and commercial feasibility study to move the developed “minimalist” bioelastomer from the lab to the market. In particular, within the MINIRES project, we intend to accelerate the maturity level of this technology, by technically validating it, as well as scouting market opportunities and setting up a suitable exploitation strategy (licensing vs. start-up creation) for valorizing the patent that has being deposited.
Max ERC Funding
150 000 €
Duration
Start date: 2018-04-01, End date: 2019-09-30
Project acronym MIRASPEC
Project Miniature on-chip Raman spectrometer for personal volatile organic compound (VOC) monitoring
Researcher (PI) Roel Baets
Host Institution (HI) UNIVERSITEIT GENT
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary We aspire to build the smallest and most lightweight Raman spectrometer in the world, with a target size of 5x10x1 mm3 and a weight of only 0.1 g. The innovation builds on the combination of three key results of the ERC Advanced Grant project InSpectra (2011-2017): 1. Demonstration of Nanophotonic waveguide Enhanced Raman Spectroscopy (NERS); 2. Demonstration of a novel on-chip Fourier Transform Spectrometer (FTS); 3. Demonstration of the integration of III-V light sources on a silicon platform through bonding or transfer printing technologies. By using a standard CMOS process toolset for fabricating the Raman spectrometer, a cost-effective and high yield product can be guaranteed with a price level at least an order of magnitude lower than current commercial systems. The exceptional form factor of the spectrometer will generate a rich variety of innovative applications of Raman spectroscopy. A spectrometer this small can be implanted, incorporated in smartphones or smartwatches and fits into textiles, drones etc. In this ERC PoC project, we will build this miniature spectrometer and use it for the target application of detecting volatile organic compounds (VOC) for personal safety monitoring, both at work and at home.
Summary
We aspire to build the smallest and most lightweight Raman spectrometer in the world, with a target size of 5x10x1 mm3 and a weight of only 0.1 g. The innovation builds on the combination of three key results of the ERC Advanced Grant project InSpectra (2011-2017): 1. Demonstration of Nanophotonic waveguide Enhanced Raman Spectroscopy (NERS); 2. Demonstration of a novel on-chip Fourier Transform Spectrometer (FTS); 3. Demonstration of the integration of III-V light sources on a silicon platform through bonding or transfer printing technologies. By using a standard CMOS process toolset for fabricating the Raman spectrometer, a cost-effective and high yield product can be guaranteed with a price level at least an order of magnitude lower than current commercial systems. The exceptional form factor of the spectrometer will generate a rich variety of innovative applications of Raman spectroscopy. A spectrometer this small can be implanted, incorporated in smartphones or smartwatches and fits into textiles, drones etc. In this ERC PoC project, we will build this miniature spectrometer and use it for the target application of detecting volatile organic compounds (VOC) for personal safety monitoring, both at work and at home.
Max ERC Funding
149 609 €
Duration
Start date: 2018-01-01, End date: 2019-06-30
Project acronym MOOiRE
Project Mix-in Organic-InOrganic Redox Events for High Energy Batteries
Researcher (PI) Alexandru VLAD
Host Institution (HI) UNIVERSITE CATHOLIQUE DE LOUVAIN
Call Details Consolidator Grant (CoG), PE8, ERC-2017-COG
Summary The ever-increasing demand for improved electrochemical energy storage technologies has fostered intense, worldwide and interdisciplinary research over the past decade. The field of positive electrode materials remains largely dominated by transition metal compounds in which only the redox of metal cations contributes to the energy storage. The development of new materials and technologies, wherein both anions and cations display reversible, multi-electron redox, is bound to strongly impact this field.
MOOiRÉ will challenge this goal through innovative approaches on Metal Organic Compounds and Frameworks (MOC/Fs) with mix-in many-electron reversible redox of both, transition metal cations and organic ligand anions. Building on our preliminary results MOOiRÉ will adopt an integrated approach. We will combine performance oriented MOC/F molecular design supported by in-operando analytical inspection tools with novel electrode engineering approaches to overcome the limitations and enable efficient electrochemical charge storage. Through this highly interdisciplinary research, MOOiRÉ intends to advance the science and technology of mix-in redox MOC/Fs for next generation batteries, supercapacitors and their hybrids.
MOOiRÉ will also be a major systematic study of the fundamentals of MOC/F-based energy storage systems in view of a practical implementation. The overall impact will extend beyond the energy science community: the developed knowledge, tools and procedures will influence research and development related to porous composite materials, sorption, ion exchange and electrocatalysis. In the context of energy storage, this will be a disruptive development, enabling the use of MOC/Fs electrodes, with superior levels of performance as compared to current technology, at affordable costs and based on novel protocols.
Summary
The ever-increasing demand for improved electrochemical energy storage technologies has fostered intense, worldwide and interdisciplinary research over the past decade. The field of positive electrode materials remains largely dominated by transition metal compounds in which only the redox of metal cations contributes to the energy storage. The development of new materials and technologies, wherein both anions and cations display reversible, multi-electron redox, is bound to strongly impact this field.
MOOiRÉ will challenge this goal through innovative approaches on Metal Organic Compounds and Frameworks (MOC/Fs) with mix-in many-electron reversible redox of both, transition metal cations and organic ligand anions. Building on our preliminary results MOOiRÉ will adopt an integrated approach. We will combine performance oriented MOC/F molecular design supported by in-operando analytical inspection tools with novel electrode engineering approaches to overcome the limitations and enable efficient electrochemical charge storage. Through this highly interdisciplinary research, MOOiRÉ intends to advance the science and technology of mix-in redox MOC/Fs for next generation batteries, supercapacitors and their hybrids.
MOOiRÉ will also be a major systematic study of the fundamentals of MOC/F-based energy storage systems in view of a practical implementation. The overall impact will extend beyond the energy science community: the developed knowledge, tools and procedures will influence research and development related to porous composite materials, sorption, ion exchange and electrocatalysis. In the context of energy storage, this will be a disruptive development, enabling the use of MOC/Fs electrodes, with superior levels of performance as compared to current technology, at affordable costs and based on novel protocols.
Max ERC Funding
1 997 541 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym MoViS
Project An innovative screening protocol device for early identification of neonates at high-risk for Autism Spectrum Disorders
Researcher (PI) Giorgio Vallortigara
Host Institution (HI) UNIVERSITA DEGLI STUDI DI TRENTO
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary Autism spectrum disorders (ASD) comprise an early-onset neurodevelopmental syndrome primarily characterized by impairments in social perception, cognition and communication, and a restricted pattern of interests and behavior. Without any doubt, infants and children with ASD greatly benefit from early behavioral intervention, therefore an early detection and treatment of ASD has been placed as a major health care priority. Unfortunately, nowadays, ASD diagnosis occurs at 2.5-4 years of age. In my previous ERC AdG Project, I proved that inborn predispositions to visual social stimuli (i.e., face-like patterns, eye-gaze and biological motion) is different between newborns at high-risk for ASD (HR, younger siblings of affected children) and newborns at low-risk (LR). Significant predictors for HR newborns were obtained and an accurate biomarker was identified. Starting from this, the goal of MoViS Project (Mobile Visual Stimulation) will be to develop, for the very first time, a simple and innovative tool for early screening and monitoring of neonates social behaviour by means of visual stimulation. This is an innovative and a promising project because, behind providing an important contribution in expanding our current knowledge about the ontogenesis of the ASD, the possibility of targeting high-risk infants during the first days of their life, via a behavioral marker for social orienting, could allow for a new generation of early therapeutic interventions for rehabilitation, starting in a time when brain plasticity allows reorganization of cortical circuits.
Summary
Autism spectrum disorders (ASD) comprise an early-onset neurodevelopmental syndrome primarily characterized by impairments in social perception, cognition and communication, and a restricted pattern of interests and behavior. Without any doubt, infants and children with ASD greatly benefit from early behavioral intervention, therefore an early detection and treatment of ASD has been placed as a major health care priority. Unfortunately, nowadays, ASD diagnosis occurs at 2.5-4 years of age. In my previous ERC AdG Project, I proved that inborn predispositions to visual social stimuli (i.e., face-like patterns, eye-gaze and biological motion) is different between newborns at high-risk for ASD (HR, younger siblings of affected children) and newborns at low-risk (LR). Significant predictors for HR newborns were obtained and an accurate biomarker was identified. Starting from this, the goal of MoViS Project (Mobile Visual Stimulation) will be to develop, for the very first time, a simple and innovative tool for early screening and monitoring of neonates social behaviour by means of visual stimulation. This is an innovative and a promising project because, behind providing an important contribution in expanding our current knowledge about the ontogenesis of the ASD, the possibility of targeting high-risk infants during the first days of their life, via a behavioral marker for social orienting, could allow for a new generation of early therapeutic interventions for rehabilitation, starting in a time when brain plasticity allows reorganization of cortical circuits.
Max ERC Funding
149 936 €
Duration
Start date: 2018-05-01, End date: 2019-10-31
Project acronym MULTIPLES
Project The MULTIPLicity of supErnova progenitorS
Researcher (PI) Hugues Albert SANA
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Consolidator Grant (CoG), PE9, ERC-2017-COG
Summary With stellar masses in the range of eight to several hundreds of solar masses, massive stars are among the most important cosmic engines, each individual object strongly impacting its local environment and populations of massive stars driving the evolution of galaxies throughout the history of the universe. Recently, I have shown that stars more massive than 15 Msun rarely, if at all, form and live in isolation but rather as part of a binary or higher-order multiple system. Understanding the life cycle of massive multiple systems, from their birth to their death as supernovae and long-duration gamma ray bursts, is one of the most pressing scientific questions in modern astrophysics.
To obtain the key observational breakthroughs needed to revolutionize our understanding of high-mass stars, my research program is developed along three themes:
(i) investigate the physical processes that set the multiplicity properties of massive stars,
(ii) establish the multiplicity properties of unevolved massive stars across the entire mass range,
(iii) identify and uniquely characterize post-interaction products.
The implementation of the MULTIPLES program involves ambitious time-resolved observational campaigns targeting large populations of massive stars at key stages of their pre-supernova evolution and in different metallicity environments. These campaigns will combine state-of-the-art spectroscopy and high-angular resolution techniques with novel multiplicity and atmosphere analysis methods appropriate for multiple systems. Upon completion, the observational constraints that will be obtained in this project will have implications that extend well beyond the sole domain of stellar astrophysics.
Summary
With stellar masses in the range of eight to several hundreds of solar masses, massive stars are among the most important cosmic engines, each individual object strongly impacting its local environment and populations of massive stars driving the evolution of galaxies throughout the history of the universe. Recently, I have shown that stars more massive than 15 Msun rarely, if at all, form and live in isolation but rather as part of a binary or higher-order multiple system. Understanding the life cycle of massive multiple systems, from their birth to their death as supernovae and long-duration gamma ray bursts, is one of the most pressing scientific questions in modern astrophysics.
To obtain the key observational breakthroughs needed to revolutionize our understanding of high-mass stars, my research program is developed along three themes:
(i) investigate the physical processes that set the multiplicity properties of massive stars,
(ii) establish the multiplicity properties of unevolved massive stars across the entire mass range,
(iii) identify and uniquely characterize post-interaction products.
The implementation of the MULTIPLES program involves ambitious time-resolved observational campaigns targeting large populations of massive stars at key stages of their pre-supernova evolution and in different metallicity environments. These campaigns will combine state-of-the-art spectroscopy and high-angular resolution techniques with novel multiplicity and atmosphere analysis methods appropriate for multiple systems. Upon completion, the observational constraints that will be obtained in this project will have implications that extend well beyond the sole domain of stellar astrophysics.
Max ERC Funding
1 991 243 €
Duration
Start date: 2018-10-01, End date: 2023-09-30
Project acronym NANONC
Project Nanomaterials in Oncology: Exploiting the Intrinsic Cancer-Specific Toxicity of Nanoparticles.
Researcher (PI) Stefaan SOENEN
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Starting Grant (StG), LS7, ERC-2017-STG
Summary In our current society, therapeutic strategies against cancer suffer from dose-limiting toxicity, lack of specificity and high morbidity. To overcome this, the use of nanomaterials (NMs) is rising, where several NM formulations are undergoing clinical trials or are used in clinics where the NMs are used as drug delivery vehicles or as mediators in physical anticancer methods (e.g. hyperthermia), where to date, the success rate is limited due to low tumor targeting efficacy, lack of specificity and frequent re-use of classical toxicity mechanisms.
To overcome these issues, this research program aims to exploit the intrinsic toxicity of certain types of metal-based, degradation-prone NMs (Fe-doped ZnO, Fe-doped CuO and Ag of different sizes and coatings) towards only cancer cells as a novel and generic anti-cancer tool with 1) improved efficacy against difficult to treat cancers such as multidrug-resistant cancer cells, 2) enhanced specificity and selectivity of the treatment by the intrinsic cancer cell-specific toxicity of NMs towards cancer cells. To overcome the issues related to selective delivery of the NMs, tumor-homing cells will be used that have been shown to efficiently home to primary tumors and their metastases. In practice, the NMs used show distinct degradation kinetics that primarily induce cancer-selective toxicity. To obtain efficient tumor targeting, suicide gene-expressing tumor-homing cells will be loaded with the NMs in their cytoplasm, hereby impeding premature NM degradation. The tumor homing efficacy of these cells will be monitored via optical imaging and once at the target site these cells will be chemically destroyed using the suicide gene strategy. This will release the NMs into the tumor site, where they can selectively destroy the cancer cells. This research program will be the first to explore the full potential of cancer-specific toxicity of NMs and the use of cytoplasmic loading of cells as biological carriers for efficient delivery.
Summary
In our current society, therapeutic strategies against cancer suffer from dose-limiting toxicity, lack of specificity and high morbidity. To overcome this, the use of nanomaterials (NMs) is rising, where several NM formulations are undergoing clinical trials or are used in clinics where the NMs are used as drug delivery vehicles or as mediators in physical anticancer methods (e.g. hyperthermia), where to date, the success rate is limited due to low tumor targeting efficacy, lack of specificity and frequent re-use of classical toxicity mechanisms.
To overcome these issues, this research program aims to exploit the intrinsic toxicity of certain types of metal-based, degradation-prone NMs (Fe-doped ZnO, Fe-doped CuO and Ag of different sizes and coatings) towards only cancer cells as a novel and generic anti-cancer tool with 1) improved efficacy against difficult to treat cancers such as multidrug-resistant cancer cells, 2) enhanced specificity and selectivity of the treatment by the intrinsic cancer cell-specific toxicity of NMs towards cancer cells. To overcome the issues related to selective delivery of the NMs, tumor-homing cells will be used that have been shown to efficiently home to primary tumors and their metastases. In practice, the NMs used show distinct degradation kinetics that primarily induce cancer-selective toxicity. To obtain efficient tumor targeting, suicide gene-expressing tumor-homing cells will be loaded with the NMs in their cytoplasm, hereby impeding premature NM degradation. The tumor homing efficacy of these cells will be monitored via optical imaging and once at the target site these cells will be chemically destroyed using the suicide gene strategy. This will release the NMs into the tumor site, where they can selectively destroy the cancer cells. This research program will be the first to explore the full potential of cancer-specific toxicity of NMs and the use of cytoplasmic loading of cells as biological carriers for efficient delivery.
Max ERC Funding
1 947 519 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym NanoVirus
Project Deciphering virus-host interactions using correlated confocal-atomic force microscopy
Researcher (PI) David ALSTEENS
Host Institution (HI) UNIVERSITE CATHOLIQUE DE LOUVAIN
Call Details Starting Grant (StG), PE4, ERC-2017-STG
Summary Viruses are a major class of pathogens that infect a variety of organisms. Infection is a multistep process that involves the concerted action of both virus and host cell machineries. The first steps of virus infection include cell binding, cell entry and release of the viral genetic material. Entry pathways are largely defined by the preliminary interactions between viruses and their receptors at the cell surface. Those interactions determine the mechanisms of virus attachment, uptake, and, ultimately, penetration into the cytosol. Elucidating the complex interplay between viruses and their receptors at the cell surface is an essential step towards establishing a full picture of the infection process.
Currently, a crucial challenge in virology is to develop a quantitative method to decipher the entry pathways of a virus, thus allowing the probing of the kinetics and energetic parameters of the interactions established between the virus and the cell surface. While current methods successfully describe the entry pathways, they fail in identifying in a quantitative manner the key steps such as energy intensive and high-affinity steps. To overcome this limitation, the ambition of this ERC proposal is to combine the latest generations of atomic force microscopes (AFM) with confocal laser scanning microscopes (CLSM). This will allow us to investigate and quantitatively characterize the early steps of single virus entry directly on living cells. At the frontiers of nanotechnology, biophysics and biology, this project aims at pushing the limits of AFM to enable us to better understand the molecular mechanisms of virus entry.
This project will have strong scientific and medical impacts. In virology, it will significantly improve the understanding of the mechanisms of virus infection. In medicine, the new method will help us and other researchers to screen new compounds that are targeting viral infection.
Summary
Viruses are a major class of pathogens that infect a variety of organisms. Infection is a multistep process that involves the concerted action of both virus and host cell machineries. The first steps of virus infection include cell binding, cell entry and release of the viral genetic material. Entry pathways are largely defined by the preliminary interactions between viruses and their receptors at the cell surface. Those interactions determine the mechanisms of virus attachment, uptake, and, ultimately, penetration into the cytosol. Elucidating the complex interplay between viruses and their receptors at the cell surface is an essential step towards establishing a full picture of the infection process.
Currently, a crucial challenge in virology is to develop a quantitative method to decipher the entry pathways of a virus, thus allowing the probing of the kinetics and energetic parameters of the interactions established between the virus and the cell surface. While current methods successfully describe the entry pathways, they fail in identifying in a quantitative manner the key steps such as energy intensive and high-affinity steps. To overcome this limitation, the ambition of this ERC proposal is to combine the latest generations of atomic force microscopes (AFM) with confocal laser scanning microscopes (CLSM). This will allow us to investigate and quantitatively characterize the early steps of single virus entry directly on living cells. At the frontiers of nanotechnology, biophysics and biology, this project aims at pushing the limits of AFM to enable us to better understand the molecular mechanisms of virus entry.
This project will have strong scientific and medical impacts. In virology, it will significantly improve the understanding of the mechanisms of virus infection. In medicine, the new method will help us and other researchers to screen new compounds that are targeting viral infection.
Max ERC Funding
1 998 125 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym NEMO
Project New states of Entangled Matter Out of equilibrium
Researcher (PI) Pasquale CALABRESE
Host Institution (HI) SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE
Call Details Consolidator Grant (CoG), PE2, ERC-2017-COG
Summary When an extended quantum system is suddenly brought out of thermodynamic equilibrium all excitations collectively participate in the ensuing quench dynamics, causing a plethora of unconventional and exotic effects, in particular in low spatial dimensions where the effects of interactions and integrability are enhanced. The theoretical study of the non-equilibrium dynamics is hampered by the fact that the time dependent many-body wave function is highly entangled on spatial scales which rapidly grow in time. Consequently, a satisfactory description of the quench dynamics is a timely challenge whose solution cannot prescind from a precise characterisation of the entanglement content of the systems of interest.
The ambitious goal of this proposal is to find and characterise new non-equilibrium states of matter guided by their entanglement content. Two parallel lines of research will help achieving this goal. One line concerns the study of some entanglement indicators like entanglement Hamiltonian, spectrum, negativity and relative entropies which, contrary to the entanglement entropy, are not yet widely used as tools for investigating many-body systems. The other line focuses on the study of some frontiers of non-equilibrium one-dimensional physics which include quantum quenches in spinful fermionic systems, the determination of the exact time dependence of correlation functions after a quench, and the use of integrable hydrodynamics for investigating transport in one-dimensional systems. Particular attention will be devoted to the experimental realisation of the proposed non-equilibrium protocols. The main tools to achieve these goals will be conformal field theories and integrability complemented by numerical simulations when the former two are not applicable.
Summary
When an extended quantum system is suddenly brought out of thermodynamic equilibrium all excitations collectively participate in the ensuing quench dynamics, causing a plethora of unconventional and exotic effects, in particular in low spatial dimensions where the effects of interactions and integrability are enhanced. The theoretical study of the non-equilibrium dynamics is hampered by the fact that the time dependent many-body wave function is highly entangled on spatial scales which rapidly grow in time. Consequently, a satisfactory description of the quench dynamics is a timely challenge whose solution cannot prescind from a precise characterisation of the entanglement content of the systems of interest.
The ambitious goal of this proposal is to find and characterise new non-equilibrium states of matter guided by their entanglement content. Two parallel lines of research will help achieving this goal. One line concerns the study of some entanglement indicators like entanglement Hamiltonian, spectrum, negativity and relative entropies which, contrary to the entanglement entropy, are not yet widely used as tools for investigating many-body systems. The other line focuses on the study of some frontiers of non-equilibrium one-dimensional physics which include quantum quenches in spinful fermionic systems, the determination of the exact time dependence of correlation functions after a quench, and the use of integrable hydrodynamics for investigating transport in one-dimensional systems. Particular attention will be devoted to the experimental realisation of the proposed non-equilibrium protocols. The main tools to achieve these goals will be conformal field theories and integrability complemented by numerical simulations when the former two are not applicable.
Max ERC Funding
1 521 423 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym NeMoSanctI
Project New Models of Sanctity in Italy (1960s-2010s).A Semiotic Analysis of Norms, Causes of Saints, Hagiography, and Narratives
Researcher (PI) Jenny PONZO
Host Institution (HI) UNIVERSITA DEGLI STUDI DI TORINO
Call Details Starting Grant (StG), SH5, ERC-2017-STG
Summary In cultures with a strong Catholic tradition saints represent models of life perfection, dialectically elaborated by a plurality of subjects and expressed in a thick intertextual network. Since the Second Vatican Council (1962-1965), when the Church promoted a policy of adaptation of her tradition to the modern world, the modeling of sanctity has undergone a deep transformation. In a context of global change, new models of sanctity have assumed a central role in guiding the faithful by proposing a renewed religious alternative to growing secularization.
NeMoSanctI intends to study how models of sanctity have changed after the Second Vatican Council and their relationship with the culture of a country exemplum of strong Catholicism: Italy. To this end, it will apply a pioneering semiotic method based on the study of values, which will allow the comparative analysis of a corpus of texts of different genres:
- normative texts regulating sanctity emanating from the Church;
- judicial texts, i.e. causes of canonization of three famous Italian saints (Padre Pio, Gianna Beretta Molla, and Gerardo Maiella), with a focus on the dialectics between the models proposed by laic witnesses and by ecclesiastic inquirers;
- narrative texts, i.e. a sample of popular hagiography about the three saints, of official hagiographic collections, and of Italian literary texts, where the theme of sanctity tends to be unconventionally elaborated and dissociated from Catholic values.
Despite its relevance for a deeper understanding of the role of religion in today’s culture, a systematic research on new models of sanctity and on their intertextual codification is still missing. By carrying out this research and by proposing an innovative semiotic method for the analysis of models of life perfection, NeMoSanctI will have a significant impact on numerous disciplines, especially semiotics, religious and cultural studies, critical studies of hagiography and canon law, literary and Italian studies.
Summary
In cultures with a strong Catholic tradition saints represent models of life perfection, dialectically elaborated by a plurality of subjects and expressed in a thick intertextual network. Since the Second Vatican Council (1962-1965), when the Church promoted a policy of adaptation of her tradition to the modern world, the modeling of sanctity has undergone a deep transformation. In a context of global change, new models of sanctity have assumed a central role in guiding the faithful by proposing a renewed religious alternative to growing secularization.
NeMoSanctI intends to study how models of sanctity have changed after the Second Vatican Council and their relationship with the culture of a country exemplum of strong Catholicism: Italy. To this end, it will apply a pioneering semiotic method based on the study of values, which will allow the comparative analysis of a corpus of texts of different genres:
- normative texts regulating sanctity emanating from the Church;
- judicial texts, i.e. causes of canonization of three famous Italian saints (Padre Pio, Gianna Beretta Molla, and Gerardo Maiella), with a focus on the dialectics between the models proposed by laic witnesses and by ecclesiastic inquirers;
- narrative texts, i.e. a sample of popular hagiography about the three saints, of official hagiographic collections, and of Italian literary texts, where the theme of sanctity tends to be unconventionally elaborated and dissociated from Catholic values.
Despite its relevance for a deeper understanding of the role of religion in today’s culture, a systematic research on new models of sanctity and on their intertextual codification is still missing. By carrying out this research and by proposing an innovative semiotic method for the analysis of models of life perfection, NeMoSanctI will have a significant impact on numerous disciplines, especially semiotics, religious and cultural studies, critical studies of hagiography and canon law, literary and Italian studies.
Max ERC Funding
1 051 590 €
Duration
Start date: 2018-03-01, End date: 2023-02-28
Project acronym NEOGENE
Project Archaeogenomic analysis of genetic and cultural interactions in Neolithic Anatolian societies
Researcher (PI) Mehmet SOMEL
Host Institution (HI) MIDDLE EAST TECHNICAL UNIVERSITY
Call Details Consolidator Grant (CoG), SH6, ERC-2017-COG
Summary The Neolithic Transition in the Near East (c.10,000-6,000 BC) was a period of singular sociocultural change, when societies adopted sedentary life and agriculture for the first time in human history. This project will jointly use genomic and quantitative cultural data to explore Transition societies’ organisation, interactions, and their social and demographic evolution in time. (1) We will start by dissecting social structures within Neolithic communities in Anatolia, studying the role of kinship, postmarital residence customs, and endogamy. For this end, we will produce genotype data for c.250 individuals interred within five Pre-Pottery and Pottery Neolithic villages in South East and Central Anatolia, and analyse genomic relatedness patterns in the context of bioarchaeological similarity (e.g. by measuring genetic relatedness among Çatalhöyük individuals buried within the same house over generations). (2) We will study the means of cultural interaction among Near Eastern Neolithic societies by documenting which cultural traits -from skull removal customs to pottery- were most likely propagated through emulation and acculturation, and which ones by gene flow, when and where. Here we will produce whole genome data, compile genomic and material culture similarity matrices for >30 Near Eastern pre-Neolithic and Neolithic populations, and develop frameworks for integrated analysis of quantitative material culture and genomic similarity among populations (also including obsidian and sheep exchange connections as factors). The data will be analysed on multiple levels: within regions, interregional, and diachronic. (3) The work will conclude by examining the evolution of social organisation and population interaction patterns through the Neolithic Transition. While enriching and revising current Transition models, the project will set precedents for employing archaeogenomics to study social structures and for systematic co-analysis of genomic and archaeological data.
Summary
The Neolithic Transition in the Near East (c.10,000-6,000 BC) was a period of singular sociocultural change, when societies adopted sedentary life and agriculture for the first time in human history. This project will jointly use genomic and quantitative cultural data to explore Transition societies’ organisation, interactions, and their social and demographic evolution in time. (1) We will start by dissecting social structures within Neolithic communities in Anatolia, studying the role of kinship, postmarital residence customs, and endogamy. For this end, we will produce genotype data for c.250 individuals interred within five Pre-Pottery and Pottery Neolithic villages in South East and Central Anatolia, and analyse genomic relatedness patterns in the context of bioarchaeological similarity (e.g. by measuring genetic relatedness among Çatalhöyük individuals buried within the same house over generations). (2) We will study the means of cultural interaction among Near Eastern Neolithic societies by documenting which cultural traits -from skull removal customs to pottery- were most likely propagated through emulation and acculturation, and which ones by gene flow, when and where. Here we will produce whole genome data, compile genomic and material culture similarity matrices for >30 Near Eastern pre-Neolithic and Neolithic populations, and develop frameworks for integrated analysis of quantitative material culture and genomic similarity among populations (also including obsidian and sheep exchange connections as factors). The data will be analysed on multiple levels: within regions, interregional, and diachronic. (3) The work will conclude by examining the evolution of social organisation and population interaction patterns through the Neolithic Transition. While enriching and revising current Transition models, the project will set precedents for employing archaeogenomics to study social structures and for systematic co-analysis of genomic and archaeological data.
Max ERC Funding
2 556 250 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym NEW_DEMOCRACY
Project Meeting Great Expectations Through Democratic Innovations
Researcher (PI) Sofie MARIEN
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Starting Grant (StG), SH2, ERC-2017-STG
Summary All across Europe democratic political systems are confronted with a citizenry that questions the democratic legitimacy of their political system. Widespread distrust in political actors and institutions, declining electoral turnout and the popularity of populist and anti-establishment candidates and parties are just a few indications of this societal challenge. Interestingly, this discontent is by no means paralleled by eroding support for democratic principles as this support is stronger than ever before. Therefore, several scholars interpreted this discontent as a demand for democratic innovation and pointed to citizen involvement in the political decision-making process as a potential solution to address this democratic legitimacy deficit.
The key objective of my project is to study in depth whether, and if so how, citizen involvement in the political decision-making process affects democratic legitimacy. In a first step, citizens’ expectations for participatory and deliberative procedures are studied. Obtaining reliable knowledge on whether citizens want these procedures, and if so, what is driving this demand is crucial. It allows to assess whether democratic innovations have the potential to alleviate the democratic legitimacy deficit, and how these should be designed. To this end, large-scale cross-national surveys in over 20 European countries will be triangulated with qualitative interviews and experiments in high, medium and low trust societies. In a second step, the effect of these participatory and deliberative procedures on democratic legitimacy is studied. The focus is on democratic legitimacy as it is perceived by citizens (e.g. citizens’ political trust, losers’ consent). To address the question of effects, observational data will be gathered using panel surveys and experiments will be used. As a result, this project will generate fundamental knowledge on whether and how democratic innovations can strengthen democratic legitimacy.
Summary
All across Europe democratic political systems are confronted with a citizenry that questions the democratic legitimacy of their political system. Widespread distrust in political actors and institutions, declining electoral turnout and the popularity of populist and anti-establishment candidates and parties are just a few indications of this societal challenge. Interestingly, this discontent is by no means paralleled by eroding support for democratic principles as this support is stronger than ever before. Therefore, several scholars interpreted this discontent as a demand for democratic innovation and pointed to citizen involvement in the political decision-making process as a potential solution to address this democratic legitimacy deficit.
The key objective of my project is to study in depth whether, and if so how, citizen involvement in the political decision-making process affects democratic legitimacy. In a first step, citizens’ expectations for participatory and deliberative procedures are studied. Obtaining reliable knowledge on whether citizens want these procedures, and if so, what is driving this demand is crucial. It allows to assess whether democratic innovations have the potential to alleviate the democratic legitimacy deficit, and how these should be designed. To this end, large-scale cross-national surveys in over 20 European countries will be triangulated with qualitative interviews and experiments in high, medium and low trust societies. In a second step, the effect of these participatory and deliberative procedures on democratic legitimacy is studied. The focus is on democratic legitimacy as it is perceived by citizens (e.g. citizens’ political trust, losers’ consent). To address the question of effects, observational data will be gathered using panel surveys and experiments will be used. As a result, this project will generate fundamental knowledge on whether and how democratic innovations can strengthen democratic legitimacy.
Max ERC Funding
1 497 210 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym NEWTON
Project NEw Windown inTO Earth's iNterior
Researcher (PI) Manuele FACCENDA
Host Institution (HI) UNIVERSITA DEGLI STUDI DI PADOVA
Call Details Starting Grant (StG), PE10, ERC-2017-STG
Summary Comprehensive seismic programs undertaken in the past few years, combined with emerging new numerical technologies now provide the potential, for the first time, to explore in detail the Earth’s interior. However, such an integrated approach is currently not contemplated, which produces physical inconsistencies among the different studies that strongly bias our understanding of the Earth’s internal structure and dynamics. Of particular concern are nowadays apparent thermo-petrological anomalies in tomographic images that are generated by the unaccounted-for anisotropic structure of the mantle and that are commonly confused with real thermo-petrological features. Given the diffuse mantle seismic anisotropy, apparent thermo-petrological anomalies contaminate most tomographic models against which tectono-magmatic models are validated, representing a critical issue for the present-day window.
Here we aim to develop a new methodology that combines state-of-the-art geodynamic modelling and seismological methods. The new methodology will allow building robust anisotropic tomographic models that will exploit anisotropy predictions from petrological-thermomechanical modelling to decompose velocity anomalies into isotropic (true thermo-petrological) and anisotropic (mechanically-induced) components.
As a major outcome, we expect to provide a new, geodynamically and seismologically constrained perspective of the current deep structure and tectono-magmatic evolution of different tectonic settings. This new methodology will be applied to the Mediterranean and the Cascadia subduction zone where, despite the abundant seismological observations, large uncertainties about the subsurface structure and tectono-magmatic evolution persist.
Furthermore, we plan to develop a new inversion technique for seismic anisotropy, and release an open source, sophisticated code for mantle fabric modelling, which will allow coupling geodynamic and seismological modelling in other tectonic settings.
Summary
Comprehensive seismic programs undertaken in the past few years, combined with emerging new numerical technologies now provide the potential, for the first time, to explore in detail the Earth’s interior. However, such an integrated approach is currently not contemplated, which produces physical inconsistencies among the different studies that strongly bias our understanding of the Earth’s internal structure and dynamics. Of particular concern are nowadays apparent thermo-petrological anomalies in tomographic images that are generated by the unaccounted-for anisotropic structure of the mantle and that are commonly confused with real thermo-petrological features. Given the diffuse mantle seismic anisotropy, apparent thermo-petrological anomalies contaminate most tomographic models against which tectono-magmatic models are validated, representing a critical issue for the present-day window.
Here we aim to develop a new methodology that combines state-of-the-art geodynamic modelling and seismological methods. The new methodology will allow building robust anisotropic tomographic models that will exploit anisotropy predictions from petrological-thermomechanical modelling to decompose velocity anomalies into isotropic (true thermo-petrological) and anisotropic (mechanically-induced) components.
As a major outcome, we expect to provide a new, geodynamically and seismologically constrained perspective of the current deep structure and tectono-magmatic evolution of different tectonic settings. This new methodology will be applied to the Mediterranean and the Cascadia subduction zone where, despite the abundant seismological observations, large uncertainties about the subsurface structure and tectono-magmatic evolution persist.
Furthermore, we plan to develop a new inversion technique for seismic anisotropy, and release an open source, sophisticated code for mantle fabric modelling, which will allow coupling geodynamic and seismological modelling in other tectonic settings.
Max ERC Funding
1 466 030 €
Duration
Start date: 2018-03-01, End date: 2023-02-28
Project acronym NoMePaCa
Project Novel Metabolic Pathways in Cancer
Researcher (PI) Guido BOMMER
Host Institution (HI) UNIVERSITE CATHOLIQUE DE LOUVAIN
Call Details Consolidator Grant (CoG), LS4, ERC-2017-COG
Summary Metabolic adaptations in central carbon metabolism play a key role in cancer. Yet, the success of therapeutic interventions in major pathways has been limited, although some of the changes have been known to exist for almost 100 years.
Biochemical textbooks present intermediary metabolism as something canonical, and the molecular identity of most enzymes required for the production of known intermediary metabolites is indeed known. Yet, the function of many putative enzymes is still unknown, indicating that novel metabolic pathways containing so far unknown metabolites exist.
We have recently discovered a novel metabolic pathway containing two metabolites that have never been described before. Preliminary data indicate that this pathway might play an important role in a group of cancers sharing specific mutations. Furthermore, genetic inactivation of a component of this pathway in mice is compatible with normal development, indicating that pharmacological inhibition should be well tolerated.
In the present project, we will use a multi-dimensional approach combining biochemical, genetic and pharmacological techniques, to identify missing components of this metabolic pathway and assess its role in cellular metabolism and cancer development. In the process of this, we will develop tools that will allow us to test whether this pathway can be targeted in vivo. Thus, our work will lead to the description of a novel metabolic pathway, should reveal novel regulatory circuits and might open novel therapeutic avenues in cancer and beyond.
Summary
Metabolic adaptations in central carbon metabolism play a key role in cancer. Yet, the success of therapeutic interventions in major pathways has been limited, although some of the changes have been known to exist for almost 100 years.
Biochemical textbooks present intermediary metabolism as something canonical, and the molecular identity of most enzymes required for the production of known intermediary metabolites is indeed known. Yet, the function of many putative enzymes is still unknown, indicating that novel metabolic pathways containing so far unknown metabolites exist.
We have recently discovered a novel metabolic pathway containing two metabolites that have never been described before. Preliminary data indicate that this pathway might play an important role in a group of cancers sharing specific mutations. Furthermore, genetic inactivation of a component of this pathway in mice is compatible with normal development, indicating that pharmacological inhibition should be well tolerated.
In the present project, we will use a multi-dimensional approach combining biochemical, genetic and pharmacological techniques, to identify missing components of this metabolic pathway and assess its role in cellular metabolism and cancer development. In the process of this, we will develop tools that will allow us to test whether this pathway can be targeted in vivo. Thus, our work will lead to the description of a novel metabolic pathway, should reveal novel regulatory circuits and might open novel therapeutic avenues in cancer and beyond.
Max ERC Funding
1 989 103 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym NOTAE
Project NOT A writtEn word but graphic symbols. NOTAE: An evidence-based reconstruction of another written world in pragmatic literacy from Late Antiquity to early medieval Europe.
Researcher (PI) Antonella GHIGNOLI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Call Details Advanced Grant (AdG), SH5, ERC-2017-ADG
Summary The use of graphic symbols in documentary records from the 4th to the 10th c. has so far received scant attention. ‘Graphic symbols’ are graphic signs (including alphabetical ones) drawn as a visual unit in a written text and representing something other than a word. They therefore broadly cover the semantic spectrum of the Latin ‘notae’ (signs) as opposed to ‘litterae’ (letters of the alphabet). With the gradual introduction of signature and the increasing use of papyrus from the 4th. c., the presence of graphic symbols became widespread in legal documents as it already was in other written records, and continued in post-Roman kingdoms as part of the same historical process of reception of the late antique documentary practice. Drawing symbols had a major social impact, because, provided it was done in one’s own hand, it placed on the same footing professional scribes, basic literates and illiterates. For illiterates, it certainly meant, both in the late Roman state (a Greek-Latin graphic and linguistic community) and in the post-Roman kindgdoms (as long as Latin functioned as language of vertical communication) a way of taking an active part in the writing process. A thorough investigation of this ‘other side’ of the written world can therefore provide precious insights about the spread of literacy as a whole. The available instances of graphic symbols, which number in their thousands, will be investigated in their contemporary context as well as diachronically, bringing together methods developed in the fields of palaeography, diplomatics and history. Archaeology, sociolinguistics, social anthropology and history of christianity will also provide important methodological angles. The census, description and images of these graphic symbols will be made available on the web through the relational and dynamic NOTAE-Database, which will be the main result of the project and, at the same time, the research tool for both the team members and all the interested scholars.
Summary
The use of graphic symbols in documentary records from the 4th to the 10th c. has so far received scant attention. ‘Graphic symbols’ are graphic signs (including alphabetical ones) drawn as a visual unit in a written text and representing something other than a word. They therefore broadly cover the semantic spectrum of the Latin ‘notae’ (signs) as opposed to ‘litterae’ (letters of the alphabet). With the gradual introduction of signature and the increasing use of papyrus from the 4th. c., the presence of graphic symbols became widespread in legal documents as it already was in other written records, and continued in post-Roman kingdoms as part of the same historical process of reception of the late antique documentary practice. Drawing symbols had a major social impact, because, provided it was done in one’s own hand, it placed on the same footing professional scribes, basic literates and illiterates. For illiterates, it certainly meant, both in the late Roman state (a Greek-Latin graphic and linguistic community) and in the post-Roman kindgdoms (as long as Latin functioned as language of vertical communication) a way of taking an active part in the writing process. A thorough investigation of this ‘other side’ of the written world can therefore provide precious insights about the spread of literacy as a whole. The available instances of graphic symbols, which number in their thousands, will be investigated in their contemporary context as well as diachronically, bringing together methods developed in the fields of palaeography, diplomatics and history. Archaeology, sociolinguistics, social anthropology and history of christianity will also provide important methodological angles. The census, description and images of these graphic symbols will be made available on the web through the relational and dynamic NOTAE-Database, which will be the main result of the project and, at the same time, the research tool for both the team members and all the interested scholars.
Max ERC Funding
1 479 625 €
Duration
Start date: 2018-07-01, End date: 2023-06-30
Project acronym NSstop
Project Development of a policy to stop the suffering caused by Nodding Syndrome and Onchocerciasis associated epilepsy
Researcher (PI) Robert Leon Colebunders
Host Institution (HI) UNIVERSITEIT ANTWERPEN
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary Nodding syndrome (NS) is a form of epilepsy, characterized by head-nodding, often associated with severe intellectual disability, psychiatric problems, and early death. Initially, NS was reported only in onchocerciasis-endemic regions in Tanzania, Uganda and South Sudan. Until recently, the cause of the syndrome was unknown. Therefore, no strategy for prevention and cure was possible. Our ERC project (NSETHIO) discovered that NS is only one of the clinical presentations of onchocerciasis associated epilepsy (OAE) and that this form of epilepsy is probably present in all onchocerciasis endemic regions where onchocerciasis is insufficiently controlled. We estimate that the number of excess cases of epilepsy due to onchocerciasis could be as much as 100,000. Based on NSETHIO findings we will develop an innovative comprehensive OAE policy plan that will prevent children from developing OAE and that will reduce the negative consequences of OAE for the economy and society. This plan includes the following components: strengthening community directed ivermectin (IVM) treatment programs (IVM will stop OAE), establishing an SMS based epilepsy surveillance system by epilepsy trained community-directed IVM distributors, developing a community-based care system using evidence based OAE treatment algorithms, and a community-awareness program. We will fine tune the plan during 2 OAE stakeholder workshops, field test it in a high OAE prevalence health zone and calculate its cost. We will create an international OAE alliance including scientists and health care workers, representatives of communities and advocacy groups, WHO, Ministries of Health, non-governmental organizations, the pharmaceutical industry and donors to scale up the implementation of these interventions after the end of the NSstop project. Reducing the burden of disease caused by OAE will have great positive cultural, societal and economic impacts on affected families and villages in many parts of Africa.
Summary
Nodding syndrome (NS) is a form of epilepsy, characterized by head-nodding, often associated with severe intellectual disability, psychiatric problems, and early death. Initially, NS was reported only in onchocerciasis-endemic regions in Tanzania, Uganda and South Sudan. Until recently, the cause of the syndrome was unknown. Therefore, no strategy for prevention and cure was possible. Our ERC project (NSETHIO) discovered that NS is only one of the clinical presentations of onchocerciasis associated epilepsy (OAE) and that this form of epilepsy is probably present in all onchocerciasis endemic regions where onchocerciasis is insufficiently controlled. We estimate that the number of excess cases of epilepsy due to onchocerciasis could be as much as 100,000. Based on NSETHIO findings we will develop an innovative comprehensive OAE policy plan that will prevent children from developing OAE and that will reduce the negative consequences of OAE for the economy and society. This plan includes the following components: strengthening community directed ivermectin (IVM) treatment programs (IVM will stop OAE), establishing an SMS based epilepsy surveillance system by epilepsy trained community-directed IVM distributors, developing a community-based care system using evidence based OAE treatment algorithms, and a community-awareness program. We will fine tune the plan during 2 OAE stakeholder workshops, field test it in a high OAE prevalence health zone and calculate its cost. We will create an international OAE alliance including scientists and health care workers, representatives of communities and advocacy groups, WHO, Ministries of Health, non-governmental organizations, the pharmaceutical industry and donors to scale up the implementation of these interventions after the end of the NSstop project. Reducing the burden of disease caused by OAE will have great positive cultural, societal and economic impacts on affected families and villages in many parts of Africa.
Max ERC Funding
149 688 €
Duration
Start date: 2017-09-01, End date: 2019-02-28
Project acronym OMVCRC
Project Engineered bacterial Outer Membrane Vesicles (OMVs) for colorectal cancer immunotherapy
Researcher (PI) Guido GRANDI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI TRENTO
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary This proposal originates from recent results obtained in the course of the Advanced ERC Project “OMVac”, the scope of which is to exploit the unique adjuvanticity properties of bacterial Outer Membrane Vesicles (OMVs) for developing innovative vaccines against infectious diseases and cancer. In particular, Synthetic Biology was applied to engineer OMVs with FAT1, a tumour associated antigen expressed in most primary and metastatic colorectal cancers (CRC). Using cancer models in immunocompetent mice, immunization with FAT1-decorated OMVs inhibited subcutaneous growth of FAT1-positive CT26 cancer cells and protection correlated with an increase in tumour infiltration of CD4+/CD8+ T cells and concomitant decrease of Treg and MDSCs. These promising results prompted the submission of the present proposal which has as main objectives: 1) the demonstration that FAT1-OMV immunization can synergise with the protective activity of checkpoint inhibitors, and 2) the development of a scalable FAT1-OMV production and purification process which could allow testing FAT1-OMV/checkpoint inhibitor combination in the clinical setting.
Summary
This proposal originates from recent results obtained in the course of the Advanced ERC Project “OMVac”, the scope of which is to exploit the unique adjuvanticity properties of bacterial Outer Membrane Vesicles (OMVs) for developing innovative vaccines against infectious diseases and cancer. In particular, Synthetic Biology was applied to engineer OMVs with FAT1, a tumour associated antigen expressed in most primary and metastatic colorectal cancers (CRC). Using cancer models in immunocompetent mice, immunization with FAT1-decorated OMVs inhibited subcutaneous growth of FAT1-positive CT26 cancer cells and protection correlated with an increase in tumour infiltration of CD4+/CD8+ T cells and concomitant decrease of Treg and MDSCs. These promising results prompted the submission of the present proposal which has as main objectives: 1) the demonstration that FAT1-OMV immunization can synergise with the protective activity of checkpoint inhibitors, and 2) the development of a scalable FAT1-OMV production and purification process which could allow testing FAT1-OMV/checkpoint inhibitor combination in the clinical setting.
Max ERC Funding
150 000 €
Duration
Start date: 2018-01-01, End date: 2019-06-30
Project acronym OPTOSENSE
Project Optical sensing of relative humidity using photoswitchable molecules
Researcher (PI) Arri PRIIMÄGI
Host Institution (HI) TAMPEREEN KORKEAKOULUSAATIO SR
Call Details Proof of Concept (PoC), ERC-2017-PoC
Summary Precise control over humidity and moisture levels is pertinent for various industrial processes dealing with, e.g., chemical engineering and fabrication of pharmaceuticals and semiconductor devices. In order to improve the product yields and ensure safety and high quality, accurate and reliable humidity sensing is in great demand. The dominant humidity-sensing technologies in the market are based on permittivity changes in a polymer matrix induced by water adsorption from air, resulting in changes in capacitance or conductivity. These approaches have been well established, but they are not suitable for all environments, such as those with large electromagnetic interference, high-voltage electricity, or explosive atmospheres. For several environments, remote humidity sensing would be the preferred, if not the only, option.
OPTOSENSE aims at developing a remote, all-optical detection scheme for measuring relative humidity and temperature, utilizing photoswitchable azobenzene compounds. The proposed method relies on following the thermal cis-trans isomerization kinetics of hydroxyazobenzene derivatives embedded into an optically transparent matrix, which acts as the active sensing layer. The thermal isomerization kinetics of such a material is sensitive to the presence of water molecules, which adsorb to the active sensing layer from the measurement environment, providing the basis for the proposed humidity-sensing concept. Combinations of different hydroxyazobenzene derivatives and sensing wavelengths allow for simultaneous measurement of temperature and multiple hydrogen-bonding gases within a single sensing layer. In the proof-of-concept device, the whole measurement system will be integrated into optical fibers, offering a simple solution based on low-cost materials for simultaneous temperature and humidity sensing.
Summary
Precise control over humidity and moisture levels is pertinent for various industrial processes dealing with, e.g., chemical engineering and fabrication of pharmaceuticals and semiconductor devices. In order to improve the product yields and ensure safety and high quality, accurate and reliable humidity sensing is in great demand. The dominant humidity-sensing technologies in the market are based on permittivity changes in a polymer matrix induced by water adsorption from air, resulting in changes in capacitance or conductivity. These approaches have been well established, but they are not suitable for all environments, such as those with large electromagnetic interference, high-voltage electricity, or explosive atmospheres. For several environments, remote humidity sensing would be the preferred, if not the only, option.
OPTOSENSE aims at developing a remote, all-optical detection scheme for measuring relative humidity and temperature, utilizing photoswitchable azobenzene compounds. The proposed method relies on following the thermal cis-trans isomerization kinetics of hydroxyazobenzene derivatives embedded into an optically transparent matrix, which acts as the active sensing layer. The thermal isomerization kinetics of such a material is sensitive to the presence of water molecules, which adsorb to the active sensing layer from the measurement environment, providing the basis for the proposed humidity-sensing concept. Combinations of different hydroxyazobenzene derivatives and sensing wavelengths allow for simultaneous measurement of temperature and multiple hydrogen-bonding gases within a single sensing layer. In the proof-of-concept device, the whole measurement system will be integrated into optical fibers, offering a simple solution based on low-cost materials for simultaneous temperature and humidity sensing.
Max ERC Funding
148 369 €
Duration
Start date: 2018-09-01, End date: 2020-02-29
Project acronym PaDC
Project Property and Democratic Citizenship: The Impact of Moral Assumptions, Policy Regulations, and Market Mechanisms on Experiences of Eviction
Researcher (PI) Marianne MAECKELBERGH
Host Institution (HI) UNIVERSITEIT GENT
Call Details Consolidator Grant (CoG), SH5, ERC-2017-COG
Summary This research explores the impact of property regimes on experiences of citizenship across five democratic countries: Greece, The Netherlands, Spain, the United Kingdom and the United States. Property rights are a foundational element of democracy, but the right to private property exists in tension with values of equality and a right to shelter. An investigation of property is urgent given the recent normalisation of economic models that have resulted in millions of evictions every year. Through an ethnographic study of eviction this research provides a comparative analysis of the benefits and limitations of contemporary property regimes for democratic citizenship. A property regime is defined as the combination of moral discourses about real landed property with the regulatory policies and market mechanisms that shape the use, sale and purchase of property. The selected countries represent a diverse set of property regimes, but all five are experiencing a housing and eviction crisis that has created new geographies of disadvantage, exacerbated inequalities of race, gender, age and income, and led to social unrest. Building on the PI's previous research into citizen-driven democratic innovation, this research critically examines the concept of property through a novel methodology dubbed 'conflictive context construction' that employs a qualitative approach centred on moments of conflict resulting from the use, sale or purchase of specific properties to answer: how do property regimes shape people's experience of citizenship and what can this tell us about the role of property in contemporary models of democratic governance? The high gain of this research lies in the opportunity to rethink the role of property within democracy based on extensive empirical data about how moral assumptions combine with particular ways of regulating and marketing property to exacerbate, alleviate or create inequalities within contemporary experiences of democratic citizenship.
Summary
This research explores the impact of property regimes on experiences of citizenship across five democratic countries: Greece, The Netherlands, Spain, the United Kingdom and the United States. Property rights are a foundational element of democracy, but the right to private property exists in tension with values of equality and a right to shelter. An investigation of property is urgent given the recent normalisation of economic models that have resulted in millions of evictions every year. Through an ethnographic study of eviction this research provides a comparative analysis of the benefits and limitations of contemporary property regimes for democratic citizenship. A property regime is defined as the combination of moral discourses about real landed property with the regulatory policies and market mechanisms that shape the use, sale and purchase of property. The selected countries represent a diverse set of property regimes, but all five are experiencing a housing and eviction crisis that has created new geographies of disadvantage, exacerbated inequalities of race, gender, age and income, and led to social unrest. Building on the PI's previous research into citizen-driven democratic innovation, this research critically examines the concept of property through a novel methodology dubbed 'conflictive context construction' that employs a qualitative approach centred on moments of conflict resulting from the use, sale or purchase of specific properties to answer: how do property regimes shape people's experience of citizenship and what can this tell us about the role of property in contemporary models of democratic governance? The high gain of this research lies in the opportunity to rethink the role of property within democracy based on extensive empirical data about how moral assumptions combine with particular ways of regulating and marketing property to exacerbate, alleviate or create inequalities within contemporary experiences of democratic citizenship.
Max ERC Funding
1 970 688 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym PALaC
Project Pre-Classical Anatolian Languages in Contact
Researcher (PI) Federico Giusfredi
Host Institution (HI) UNIVERSITA DEGLI STUDI DI VERONA
Call Details Starting Grant (StG), SH5, ERC-2017-STG
Summary The aim of the PALaC project is to provide a systematic and complete study of language-contact in pre-classical Anatolia, from the XVIII century BCE up the Anatolian and Syro-Anatolian cultures of the Iron ages. Language contact is a specific phenomenon present in all phases of modern and historical languages, and requires to be investigated using the language-internal methodologies of contact-linguistics. The project will provide a rigorous and complete description of the linguistic interactions in ancient Anatolia, a unique historical and geographical gateway where Indo-European, Semitic and isolated languages interacted with each other, on the ideal boundary between the East and the West. PALaC will deal with the analysis of the textual data from the different Ancient Anatolian corpora, that will be assessed both from a linguistic and from philological perspective. The final results will also be integrated in the general framework of historical and cultural contact in the Ancient Mediterranean world by a dedicated work-package. The project will take advantage of the methodological expertise of a team of researchers who are well trained both in the philological study of the Ancient Near Eastern texts and in the linguistic study of languages in contact.
Summary
The aim of the PALaC project is to provide a systematic and complete study of language-contact in pre-classical Anatolia, from the XVIII century BCE up the Anatolian and Syro-Anatolian cultures of the Iron ages. Language contact is a specific phenomenon present in all phases of modern and historical languages, and requires to be investigated using the language-internal methodologies of contact-linguistics. The project will provide a rigorous and complete description of the linguistic interactions in ancient Anatolia, a unique historical and geographical gateway where Indo-European, Semitic and isolated languages interacted with each other, on the ideal boundary between the East and the West. PALaC will deal with the analysis of the textual data from the different Ancient Anatolian corpora, that will be assessed both from a linguistic and from philological perspective. The final results will also be integrated in the general framework of historical and cultural contact in the Ancient Mediterranean world by a dedicated work-package. The project will take advantage of the methodological expertise of a team of researchers who are well trained both in the philological study of the Ancient Near Eastern texts and in the linguistic study of languages in contact.
Max ERC Funding
1 233 750 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym PapyGreek
Project Digital Grammar of Greek Documentary Papyri
Researcher (PI) Marja VIERROS
Host Institution (HI) HELSINGIN YLIOPISTO
Call Details Starting Grant (StG), SH5, ERC-2017-STG
Summary The project creates a new Digital Grammar of Greek Documentary Papyri. It fills a void in Greek scholarship: the papyrological corpus represents the Post-Classical variety of Greek, a bridge between Classical and Medieval Greek, which has hitherto been very difficult to use as a source for studying historical linguistics. This project will develop new digital methods for studying this fragmentary but vast text corpus.
Greek is a unique language for linguists in its chronological scope. Documentary Greek papyri, ranging from ca. 300 BCE to 700 CE, can be contrasted with literature: these papyri preserve us the language as the ancient writer composed it and lead us close to the colloquial contemporary language. The nonstandard variation in documentary texts is where language change can first be detected, making the papyrological corpus an important source for diachronic study of Greek. The new Grammar of Greek papyri will answer such questions as how much bilingualism affected Greek in Egypt and when and where it was a dominant feature of the society. The papyri will partly be treated as big data; the whole corpus will be morphologically tagged. This will enable e.g. phonological analyses to be performed in greater accuracy than has been possible before through eliminating the confusion between inflectional morphology and phonological variation.
As a result, the Digital Grammar will bring the language used in the Greek papyri openly available to the scholarly community in an unforeseen manner. It will include new, more exact analyses of the phonology and morphology of Greek in Egypt, as well as a possibility to search both phonological and morphological forms, in combination or in separation, in the whole corpus. The syntactically annotated corpora will form a smaller but constantly expanding corpus of selected papyri, which yields to a wider range of searches on morphosyntax.
Summary
The project creates a new Digital Grammar of Greek Documentary Papyri. It fills a void in Greek scholarship: the papyrological corpus represents the Post-Classical variety of Greek, a bridge between Classical and Medieval Greek, which has hitherto been very difficult to use as a source for studying historical linguistics. This project will develop new digital methods for studying this fragmentary but vast text corpus.
Greek is a unique language for linguists in its chronological scope. Documentary Greek papyri, ranging from ca. 300 BCE to 700 CE, can be contrasted with literature: these papyri preserve us the language as the ancient writer composed it and lead us close to the colloquial contemporary language. The nonstandard variation in documentary texts is where language change can first be detected, making the papyrological corpus an important source for diachronic study of Greek. The new Grammar of Greek papyri will answer such questions as how much bilingualism affected Greek in Egypt and when and where it was a dominant feature of the society. The papyri will partly be treated as big data; the whole corpus will be morphologically tagged. This will enable e.g. phonological analyses to be performed in greater accuracy than has been possible before through eliminating the confusion between inflectional morphology and phonological variation.
As a result, the Digital Grammar will bring the language used in the Greek papyri openly available to the scholarly community in an unforeseen manner. It will include new, more exact analyses of the phonology and morphology of Greek in Egypt, as well as a possibility to search both phonological and morphological forms, in combination or in separation, in the whole corpus. The syntactically annotated corpora will form a smaller but constantly expanding corpus of selected papyri, which yields to a wider range of searches on morphosyntax.
Max ERC Funding
1 495 584 €
Duration
Start date: 2018-03-01, End date: 2023-02-28
Project acronym PEP2D
Project Printable Electronics on Paper through 2D materials based inks
Researcher (PI) Gianluca FIORI
Host Institution (HI) UNIVERSITA DI PISA
Call Details Consolidator Grant (CoG), PE7, ERC-2017-COG
Summary The vision behind the PEP2D project is to pioneer the realization of fully printed electronic circuits on flexible substrates as paper, leveraging the exceptional electronic properties of inks based on novel two- dimensional materials (2DMs), and through the wide-spread and low-cost inkjet printing technology.
The development of fully printed electronic systems on flexible substrates as paper could have an unpreceded economical and societal impact on the European Union. Unleashing the potential of this technology could open new and wide applications, ranging from bio (e.g., smart patches for biometric readings), to food/medicine quality control (e.g, smart tags for checking the breaking of cold chain), or to anti-counterfeiting of valuable goods, just to cite few.
Actually, technology is endeavouring to implement the main building blocks for electronic applications in the fast-growing market of flexible electronics expected to expand to 42 B€ by 2021, but available materials are missing the long-term stability and reliability, and device performance can be further improved. From this perspective, it is compulsory to develop new materials, and device architectures able to allow the fully printing of a working electronic system. PEP2D aims at designing a library of inkjet-printed electronic devices (transistors, and all linear and nonlinear components) and circuits (digital logic, memory circuits, amplifiers, transmitters, receivers) enabled by 2DMs based inks, to be eventually obtained through the use of a single tool as the inkjet process, without the need of any additional fabrications steps (i.e., use of resists, etching etc.) and in air (not in glovebox).
Such a goal will be achieved by means of the synergic and complementary activities pursued within the project and based on advanced modelling and design of inkjet-printed devices and circuits, which will lead the activity on the realization and measurements of printed electronic systems.
Summary
The vision behind the PEP2D project is to pioneer the realization of fully printed electronic circuits on flexible substrates as paper, leveraging the exceptional electronic properties of inks based on novel two- dimensional materials (2DMs), and through the wide-spread and low-cost inkjet printing technology.
The development of fully printed electronic systems on flexible substrates as paper could have an unpreceded economical and societal impact on the European Union. Unleashing the potential of this technology could open new and wide applications, ranging from bio (e.g., smart patches for biometric readings), to food/medicine quality control (e.g, smart tags for checking the breaking of cold chain), or to anti-counterfeiting of valuable goods, just to cite few.
Actually, technology is endeavouring to implement the main building blocks for electronic applications in the fast-growing market of flexible electronics expected to expand to 42 B€ by 2021, but available materials are missing the long-term stability and reliability, and device performance can be further improved. From this perspective, it is compulsory to develop new materials, and device architectures able to allow the fully printing of a working electronic system. PEP2D aims at designing a library of inkjet-printed electronic devices (transistors, and all linear and nonlinear components) and circuits (digital logic, memory circuits, amplifiers, transmitters, receivers) enabled by 2DMs based inks, to be eventually obtained through the use of a single tool as the inkjet process, without the need of any additional fabrications steps (i.e., use of resists, etching etc.) and in air (not in glovebox).
Such a goal will be achieved by means of the synergic and complementary activities pursued within the project and based on advanced modelling and design of inkjet-printed devices and circuits, which will lead the activity on the realization and measurements of printed electronic systems.
Max ERC Funding
1 883 868 €
Duration
Start date: 2018-03-01, End date: 2023-02-28