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
