Project acronym 3D-CAP
Project 3D micro-supercapacitors for embedded electronics
Researcher (PI) David Sarinn PECH
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Country France
Call Details Consolidator Grant (CoG), PE7, ERC-2017-COG
Summary The realization of high-performance micro-supercapacitors is currently a big challenge but the ineluctable applications requiring such miniaturized energy storage devices are continuously emerging, from wearable electronic gadgets to wireless sensor networks. Although they store less energy than micro-batteries, micro-supercapacitors can be charged and discharged very rapidly and exhibit a quasi-unlimited lifetime. The global scientific research is consequently largely focused on the improvement of their capacitance and energetic performances. However, to date, they are still far from being able to power sensors or electronic components.
Here I propose a 3D paradigm shift of micro-supercapacitor design to ensure increased energy storage capacities. Hydrous ruthenium dioxide (RuO2) is a pseudocapacitive material for supercapacitor electrode well-known for its high capacitance. A thin-film of ruthenium will be deposited by atomic layer deposition (ALD), followed by an electrochemical oxidation process, onto a high-surface-area 3D current collector prepared via an ingenious dynamic template built with hydrogen bubbles. The structural features of these 3D architectures will be controllably tailored by the processing methodologies. These electrodes will be combined with an innovative electrolyte in solid form (a protic ionogel) able to operate over an extended cell voltage. In a parallel investigation, we will develop a fundamental understanding of electrochemical reactions occurring at the nanoscale with a FIB-patterned (Focused Ion Beam) RuO2 nano-supercapacitor. The resulting 3D micro-supercapacitors should display extremely high power, long lifetime and – for the first time – energy densities competing or even exceeding that of micro-batteries. As a key achievement, prototypes will be designed using a new concept based on a self-adaptative micro-supercapacitors matrix, which arranges itself according to the global amount of energy stored.
Summary
The realization of high-performance micro-supercapacitors is currently a big challenge but the ineluctable applications requiring such miniaturized energy storage devices are continuously emerging, from wearable electronic gadgets to wireless sensor networks. Although they store less energy than micro-batteries, micro-supercapacitors can be charged and discharged very rapidly and exhibit a quasi-unlimited lifetime. The global scientific research is consequently largely focused on the improvement of their capacitance and energetic performances. However, to date, they are still far from being able to power sensors or electronic components.
Here I propose a 3D paradigm shift of micro-supercapacitor design to ensure increased energy storage capacities. Hydrous ruthenium dioxide (RuO2) is a pseudocapacitive material for supercapacitor electrode well-known for its high capacitance. A thin-film of ruthenium will be deposited by atomic layer deposition (ALD), followed by an electrochemical oxidation process, onto a high-surface-area 3D current collector prepared via an ingenious dynamic template built with hydrogen bubbles. The structural features of these 3D architectures will be controllably tailored by the processing methodologies. These electrodes will be combined with an innovative electrolyte in solid form (a protic ionogel) able to operate over an extended cell voltage. In a parallel investigation, we will develop a fundamental understanding of electrochemical reactions occurring at the nanoscale with a FIB-patterned (Focused Ion Beam) RuO2 nano-supercapacitor. The resulting 3D micro-supercapacitors should display extremely high power, long lifetime and – for the first time – energy densities competing or even exceeding that of micro-batteries. As a key achievement, prototypes will be designed using a new concept based on a self-adaptative micro-supercapacitors matrix, which arranges itself according to the global amount of energy stored.
Max ERC Funding
1 673 438 €
Duration
Start date: 2018-04-01, End date: 2023-03-31
Project acronym 3DPROTEINPUZZLES
Project Shape-directed protein assembly design
Researcher (PI) Lars Ingemar ANDRe
Host Institution (HI) MAX IV Laboratory, Lund University
Country Sweden
Call Details Consolidator Grant (CoG), LS9, ERC-2017-COG
Summary Large protein complexes carry out some of the most complex functions in biology. Such structures are often assembled spontaneously from individual components through the process of self-assembly. If self-assembled protein complexes could be engineered from first principle it would enable a wide range of applications in biomedicine, nanotechnology and materials science. Recently, approaches to rationally design proteins to self-assembly into predefined structures have emerged. The highlight of this work is the design of protein cages that may be engineered into protein containers. However, current approaches for self-assembly design does not result in the assemblies with the required structural complexity to encode many of the sophisticated functions found in nature. To move forward, we have to learn how to engineer protein subunits with more than one designed interface that can assemble into tightly interacting complexes. In this proposal we propose a new protein design paradigm, shape directed protein design, in order to address shortcomings of the current methodology. The proposed method combines geometric shape matching and computational protein design. Using this approach we will de novo design assemblies with a wide variety of structural states, including protein complexes with cyclic and dihedral symmetry as well as icosahedral protein capsids built from novel protein building blocks. To enable these two design challenges we also develop a high-throughput assay to measure assembly stability in vivo that builds on a three-color fluorescent assay. This method will not only facilitate the screening of orders of magnitude more design constructs, but also enable the application of directed evolution to experimentally improve stable and assembly properties of designed containers as well as other designed assemblies.
Summary
Large protein complexes carry out some of the most complex functions in biology. Such structures are often assembled spontaneously from individual components through the process of self-assembly. If self-assembled protein complexes could be engineered from first principle it would enable a wide range of applications in biomedicine, nanotechnology and materials science. Recently, approaches to rationally design proteins to self-assembly into predefined structures have emerged. The highlight of this work is the design of protein cages that may be engineered into protein containers. However, current approaches for self-assembly design does not result in the assemblies with the required structural complexity to encode many of the sophisticated functions found in nature. To move forward, we have to learn how to engineer protein subunits with more than one designed interface that can assemble into tightly interacting complexes. In this proposal we propose a new protein design paradigm, shape directed protein design, in order to address shortcomings of the current methodology. The proposed method combines geometric shape matching and computational protein design. Using this approach we will de novo design assemblies with a wide variety of structural states, including protein complexes with cyclic and dihedral symmetry as well as icosahedral protein capsids built from novel protein building blocks. To enable these two design challenges we also develop a high-throughput assay to measure assembly stability in vivo that builds on a three-color fluorescent assay. This method will not only facilitate the screening of orders of magnitude more design constructs, but also enable the application of directed evolution to experimentally improve stable and assembly properties of designed containers as well as other designed assemblies.
Max ERC Funding
2 325 292 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym ANTILEAK
Project Development of antagonists of vascular leakage
Researcher (PI) Pipsa SAHARINEN
Host Institution (HI) HELSINGIN YLIOPISTO
Country Finland
Call Details Consolidator Grant (CoG), LS4, ERC-2017-COG
Summary Dysregulation of capillary permeability is a severe problem in critically ill patients, but the mechanisms involved are poorly understood. Further, there are no targeted therapies to stabilize leaky vessels in various common, potentially fatal diseases, such as systemic inflammation and sepsis, which affect millions of people annually. Although a multitude of signals that stimulate opening of endothelial cell-cell junctions leading to permeability have been characterized using cellular and in vivo models, approaches to reverse the harmful process of capillary leakage in disease conditions are yet to be identified. I propose to explore a novel autocrine endothelial permeability regulatory system as a potentially universal mechanism that antagonizes vascular stabilizing ques and sustains vascular leakage in inflammation. My group has identified inflammation-induced mechanisms that switch vascular stabilizing factors into molecules that destabilize vascular barriers, and identified tools to prevent the barrier disruption. Building on these discoveries, my group will use mouse genetics, structural biology and innovative, systematic antibody development coupled with gene editing and gene silencing technology, in order to elucidate mechanisms of vascular barrier breakdown and repair in systemic inflammation. The expected outcomes include insights into endothelial cell signaling and permeability regulation, and preclinical proof-of-concept antibodies to control endothelial activation and vascular leakage in systemic inflammation and sepsis models. Ultimately, the new knowledge and preclinical tools developed in this project may facilitate future development of targeted approaches against vascular leakage.
Summary
Dysregulation of capillary permeability is a severe problem in critically ill patients, but the mechanisms involved are poorly understood. Further, there are no targeted therapies to stabilize leaky vessels in various common, potentially fatal diseases, such as systemic inflammation and sepsis, which affect millions of people annually. Although a multitude of signals that stimulate opening of endothelial cell-cell junctions leading to permeability have been characterized using cellular and in vivo models, approaches to reverse the harmful process of capillary leakage in disease conditions are yet to be identified. I propose to explore a novel autocrine endothelial permeability regulatory system as a potentially universal mechanism that antagonizes vascular stabilizing ques and sustains vascular leakage in inflammation. My group has identified inflammation-induced mechanisms that switch vascular stabilizing factors into molecules that destabilize vascular barriers, and identified tools to prevent the barrier disruption. Building on these discoveries, my group will use mouse genetics, structural biology and innovative, systematic antibody development coupled with gene editing and gene silencing technology, in order to elucidate mechanisms of vascular barrier breakdown and repair in systemic inflammation. The expected outcomes include insights into endothelial cell signaling and permeability regulation, and preclinical proof-of-concept antibodies to control endothelial activation and vascular leakage in systemic inflammation and sepsis models. Ultimately, the new knowledge and preclinical tools developed in this project may facilitate future development of targeted approaches against vascular leakage.
Max ERC Funding
1 999 770 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym ASA
Project Understanding Statehood through Architecture: a comparative study of Africa's state buildings
Researcher (PI) Julia Catherine GALLAGHER
Host Institution (HI) SCHOOL OF ORIENTAL AND AFRICAN STUDIES ROYAL CHARTER
Country United Kingdom
Call Details Consolidator Grant (CoG), SH2, ERC-2017-COG
Summary The project will develop a new ethnography of statehood through architecture. It goes beyond conventional approaches to statehood, which describe states as an objectively existing set of tools used to run a country, and critical approaches that understand them as discursive constructs. Instead, this research understands statehood as a result of the relationship between functions and symbols, and will read it through an innovative new methodology, namely a study of state architecture.
The study will focus on state buildings in Africa. African statehood, uncertain and often ambiguous, in many cases profoundly shaped by colonial heritages and post-colonial relationships, is reflected in classical-colonial, modernist-nationalist and post-modern or vernacular styles of architecture. African state buildings reveal the complex interplay of ideas, activities and relationships that together constitute an often uncomfortable statehood. They symbolise the state, embodying and projecting ideas of it through their aesthetics; they enable its concrete functions and processes; and they reveal what citizens think about the state in the ways they describe and negotiate them.
The study is comparative, multi-layered and interdisciplinary. It focuses on seven countries (South Africa, Tanzania, DR Congo, Ethiopia, Ghana, Côte d’Ivoire and Guinea Bissau), exploring politics and statehood on domestic, regional and international levels, and drawing on theory and methods from political science, history, sociology, art and architecture theory. It employs innovative ethnographic methods, including the collection and display of photographs in interactive exhibitions staged in Africa to explore the ways citizens think about and use state buildings.
This project will provide an innovative reading of how African statehood is expressed and how it looks and feels to African citizens. In doing this, it will make a distinctive new contribution to understanding how statehood works everywhere.
Summary
The project will develop a new ethnography of statehood through architecture. It goes beyond conventional approaches to statehood, which describe states as an objectively existing set of tools used to run a country, and critical approaches that understand them as discursive constructs. Instead, this research understands statehood as a result of the relationship between functions and symbols, and will read it through an innovative new methodology, namely a study of state architecture.
The study will focus on state buildings in Africa. African statehood, uncertain and often ambiguous, in many cases profoundly shaped by colonial heritages and post-colonial relationships, is reflected in classical-colonial, modernist-nationalist and post-modern or vernacular styles of architecture. African state buildings reveal the complex interplay of ideas, activities and relationships that together constitute an often uncomfortable statehood. They symbolise the state, embodying and projecting ideas of it through their aesthetics; they enable its concrete functions and processes; and they reveal what citizens think about the state in the ways they describe and negotiate them.
The study is comparative, multi-layered and interdisciplinary. It focuses on seven countries (South Africa, Tanzania, DR Congo, Ethiopia, Ghana, Côte d’Ivoire and Guinea Bissau), exploring politics and statehood on domestic, regional and international levels, and drawing on theory and methods from political science, history, sociology, art and architecture theory. It employs innovative ethnographic methods, including the collection and display of photographs in interactive exhibitions staged in Africa to explore the ways citizens think about and use state buildings.
This project will provide an innovative reading of how African statehood is expressed and how it looks and feels to African citizens. In doing this, it will make a distinctive new contribution to understanding how statehood works everywhere.
Max ERC Funding
1 870 665 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym ASIAPAST
Project From herds to empire: Biomolecular and zooarchaeological investigations of mobile pastoralism in the ancient Eurasian steppe
Researcher (PI) Cheryl Ann Makarewicz
Host Institution (HI) CHRISTIAN-ALBRECHTS-UNIVERSITAET ZU KIEL
Country Germany
Call Details Consolidator Grant (CoG), SH6, ERC-2017-COG
Summary The emergence of mobile pastoralism in the Eurasian steppe five thousand years ago marked a unique transformation in human lifeways where, for the first time, people relied almost exclusively on herd animals of sheep, goat, cattle, and horses for sustenance and as symbols. Mobile pastoralism also generated altogether new forms of socio-political organization exceptional to the steppe that ultimately laid the foundation for nomadic states and empires. However, there remain striking gaps in our knowledge of how the pastoralist niche spread and evolved across Eurasia in the past and influenced cultural trajectories that frame the human-herd systems of today. Little is known about the scale of pastoralist movements connected with the initial translocation of domesticated animals, how mobility became embedded in pastoralist life, or how movement contributed to the formation of sophisticated political networks. There is a poor understanding of the character of herd animal husbandry strategies that were central to pastoralist subsistence and how these co-evolved alongside pastoralist dietary intake and ritual use of herd animals. We have a remarkably poor understanding of what pastoralists ate, especially the dietary contribution of dairy products - the quintessential dietary cornerstone food of pastoralist societies.
ASIAPAST addresses these gaps through a biomolecular approach that recovers the dietary and mobility histories of pastoralists and their animals recorded in bones, teeth, and pottery. This project pairs these methods to detailed analyses of the economic and symbolic use of herd animals preserved in zooarchaeological archives. These investigations draw from materials obtained from key sites that capture the transition to mobile pastoralism, its intensification, and emergence of trans-regional political structures located across the culturally connected regions of Mongolia, Kazakhstan, Russia, Kyrgyzstan, and Uzbekistan.
Summary
The emergence of mobile pastoralism in the Eurasian steppe five thousand years ago marked a unique transformation in human lifeways where, for the first time, people relied almost exclusively on herd animals of sheep, goat, cattle, and horses for sustenance and as symbols. Mobile pastoralism also generated altogether new forms of socio-political organization exceptional to the steppe that ultimately laid the foundation for nomadic states and empires. However, there remain striking gaps in our knowledge of how the pastoralist niche spread and evolved across Eurasia in the past and influenced cultural trajectories that frame the human-herd systems of today. Little is known about the scale of pastoralist movements connected with the initial translocation of domesticated animals, how mobility became embedded in pastoralist life, or how movement contributed to the formation of sophisticated political networks. There is a poor understanding of the character of herd animal husbandry strategies that were central to pastoralist subsistence and how these co-evolved alongside pastoralist dietary intake and ritual use of herd animals. We have a remarkably poor understanding of what pastoralists ate, especially the dietary contribution of dairy products - the quintessential dietary cornerstone food of pastoralist societies.
ASIAPAST addresses these gaps through a biomolecular approach that recovers the dietary and mobility histories of pastoralists and their animals recorded in bones, teeth, and pottery. This project pairs these methods to detailed analyses of the economic and symbolic use of herd animals preserved in zooarchaeological archives. These investigations draw from materials obtained from key sites that capture the transition to mobile pastoralism, its intensification, and emergence of trans-regional political structures located across the culturally connected regions of Mongolia, Kazakhstan, Russia, Kyrgyzstan, and Uzbekistan.
Max ERC Funding
1 999 145 €
Duration
Start date: 2018-04-01, End date: 2023-03-31
Project acronym ASSESS
Project Episodic Mass Loss in the Most Massive Stars: Key to Understanding the Explosive Early Universe
Researcher (PI) Alceste BONANOS
Host Institution (HI) ETHNIKO ASTEROSKOPEIO ATHINON
Country Greece
Call Details Consolidator Grant (CoG), PE9, ERC-2017-COG
Summary Massive stars dominate their surroundings during their short lifetimes, while their explosive deaths impact the chemical evolution and spatial cohesion of their hosts. After birth, their evolution is largely dictated by their ability to remove layers of hydrogen from their envelopes. Multiple lines of evidence are pointing to violent, episodic mass-loss events being responsible for removing a large part of the massive stellar envelope, especially in low-metallicity galaxies. Episodic mass loss, however, is not understood theoretically, neither accounted for in state-of-the-art models of stellar evolution, which has far-reaching consequences for many areas of astronomy. We aim to determine whether episodic mass loss is a dominant process in the evolution of the most massive stars by conducting the first extensive, multi-wavelength survey of evolved massive stars in the nearby Universe. The project hinges on the fact that mass-losing stars form dust and are bright in the mid-infrared. We plan to (i) derive physical parameters of a large sample of dusty, evolved targets and estimate the amount of ejected mass, (ii) constrain evolutionary models, (iii) quantify the duration and frequency of episodic mass loss as a function of metallicity. The approach involves applying machine-learning algorithms to existing multi-band and time-series photometry of luminous sources in ~25 nearby galaxies. Dusty, luminous evolved massive stars will thus be automatically classified and follow-up spectroscopy will be obtained for selected targets. Atmospheric and SED modeling will yield parameters and estimates of time-dependent mass loss for ~1000 luminous stars. The emerging trend for the ubiquity of episodic mass loss, if confirmed, will be key to understanding the explosive early Universe and will have profound consequences for low-metallicity stars, reionization, and the chemical evolution of galaxies.
Summary
Massive stars dominate their surroundings during their short lifetimes, while their explosive deaths impact the chemical evolution and spatial cohesion of their hosts. After birth, their evolution is largely dictated by their ability to remove layers of hydrogen from their envelopes. Multiple lines of evidence are pointing to violent, episodic mass-loss events being responsible for removing a large part of the massive stellar envelope, especially in low-metallicity galaxies. Episodic mass loss, however, is not understood theoretically, neither accounted for in state-of-the-art models of stellar evolution, which has far-reaching consequences for many areas of astronomy. We aim to determine whether episodic mass loss is a dominant process in the evolution of the most massive stars by conducting the first extensive, multi-wavelength survey of evolved massive stars in the nearby Universe. The project hinges on the fact that mass-losing stars form dust and are bright in the mid-infrared. We plan to (i) derive physical parameters of a large sample of dusty, evolved targets and estimate the amount of ejected mass, (ii) constrain evolutionary models, (iii) quantify the duration and frequency of episodic mass loss as a function of metallicity. The approach involves applying machine-learning algorithms to existing multi-band and time-series photometry of luminous sources in ~25 nearby galaxies. Dusty, luminous evolved massive stars will thus be automatically classified and follow-up spectroscopy will be obtained for selected targets. Atmospheric and SED modeling will yield parameters and estimates of time-dependent mass loss for ~1000 luminous stars. The emerging trend for the ubiquity of episodic mass loss, if confirmed, will be key to understanding the explosive early Universe and will have profound consequences for low-metallicity stars, reionization, and the chemical evolution of galaxies.
Max ERC Funding
1 128 750 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym Asterochronometry
Project Galactic archeology with high temporal resolution
Researcher (PI) Andrea MIGLIO
Host Institution (HI) ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA
Country Italy
Call Details Consolidator Grant (CoG), PE9, ERC-2017-COG
Summary The Milky Way is a complex system, with dynamical and chemical substructures, where several competing processes such as mergers, internal secular evolution, gas accretion and gas flows take place. To study in detail how such a giant spiral galaxy was formed and evolved, we need to reconstruct the sequence of its main formation events with high (~10%) temporal resolution.
Asterochronometry will determine accurate, precise ages for tens of thousands of stars in the Galaxy. We will take an approach distinguished by a number of key aspects including, developing novel star-dating methods that fully utilise the potential of individual pulsation modes, coupled with a careful appraisal of systematic uncertainties on age deriving from our limited understanding of stellar physics.
We will then capitalise on opportunities provided by the timely availability of astrometric, spectroscopic, and asteroseismic data to build and data-mine chrono-chemo-dynamical maps of regions of the Milky Way probed by the space missions CoRoT, Kepler, K2, and TESS. We will quantify, by comparison with predictions of chemodynamical models, the relative importance of various processes which play a role in shaping the Galaxy, for example mergers and dynamical processes. We will use chrono-chemical tagging to look for evidence of aggregates, and precise and accurate ages to reconstruct the early star formation history of the Milky Way’s main constituents.
The Asterochronometry project will also provide stringent observational tests of stellar structure and answer some of the long-standing open questions in stellar modelling (e.g. efficiency of transport processes, mass loss on the giant branch, the occurrence of products of coalescence / mass exchange). These tests will improve our ability to determine stellar ages and chemical yields, with wide impact e.g. on the characterisation and ensemble studies of exoplanets, on evolutionary population synthesis, integrated colours and thus ages of galaxies.
Summary
The Milky Way is a complex system, with dynamical and chemical substructures, where several competing processes such as mergers, internal secular evolution, gas accretion and gas flows take place. To study in detail how such a giant spiral galaxy was formed and evolved, we need to reconstruct the sequence of its main formation events with high (~10%) temporal resolution.
Asterochronometry will determine accurate, precise ages for tens of thousands of stars in the Galaxy. We will take an approach distinguished by a number of key aspects including, developing novel star-dating methods that fully utilise the potential of individual pulsation modes, coupled with a careful appraisal of systematic uncertainties on age deriving from our limited understanding of stellar physics.
We will then capitalise on opportunities provided by the timely availability of astrometric, spectroscopic, and asteroseismic data to build and data-mine chrono-chemo-dynamical maps of regions of the Milky Way probed by the space missions CoRoT, Kepler, K2, and TESS. We will quantify, by comparison with predictions of chemodynamical models, the relative importance of various processes which play a role in shaping the Galaxy, for example mergers and dynamical processes. We will use chrono-chemical tagging to look for evidence of aggregates, and precise and accurate ages to reconstruct the early star formation history of the Milky Way’s main constituents.
The Asterochronometry project will also provide stringent observational tests of stellar structure and answer some of the long-standing open questions in stellar modelling (e.g. efficiency of transport processes, mass loss on the giant branch, the occurrence of products of coalescence / mass exchange). These tests will improve our ability to determine stellar ages and chemical yields, with wide impact e.g. on the characterisation and ensemble studies of exoplanets, on evolutionary population synthesis, integrated colours and thus ages of galaxies.
Max ERC Funding
1 958 863 €
Duration
Start date: 2018-04-01, End date: 2023-09-30
Project acronym BabyRhythm
Project Tuned to the Rhythm: How Prenatally and Postnatally Heard Speech Prosody Lays the Foundations for Language Learning
Researcher (PI) Judit Gervain
Host Institution (HI) UNIVERSITA DEGLI STUDI DI PADOVA
Country Italy
Call Details Consolidator Grant (CoG), SH4, ERC-2017-COG
Summary The role of experience in language acquisition has been the focus of heated theoretical debates, between proponents of nativist views according to whom experience plays a minimal role and advocates of empiricist positions holding that experience, be it linguistic, social or other, is sufficient to account for language acquisition. Despite more than a half century of dedicated research efforts, the problem is not solved.
The present project brings a novel perspective to this debate, combining hitherto unconnected research in language acquisition with recent advances in the neurophysiology of hearing and speech processing. Specifically, it claims that prenatal experience with speech, which mainly consists of prosody due to the filtering effects of the womb, is what shapes the speech perception system, laying the foundations of subsequent language learning. Prosody is thus the cue that links genetically endowed predispositions present in the initial state with language experience. The proposal links the behavioral and neural levels, arguing that the hierarchy of the neural oscillations corresponds to a unique developmental chronology in human infants’ experience with speech and language.
The project uses state-of-the-art brain imaging techniques, EEG & NIRS, with monolingual full term newborns, as well as full-term bilingual, preterm and deaf newborns to investigate the link between prenatal experience and subsequent language acquisition. It proposes to follow the developmental trajectories of these four populations from birth to 6 and 9 months of age.
Summary
The role of experience in language acquisition has been the focus of heated theoretical debates, between proponents of nativist views according to whom experience plays a minimal role and advocates of empiricist positions holding that experience, be it linguistic, social or other, is sufficient to account for language acquisition. Despite more than a half century of dedicated research efforts, the problem is not solved.
The present project brings a novel perspective to this debate, combining hitherto unconnected research in language acquisition with recent advances in the neurophysiology of hearing and speech processing. Specifically, it claims that prenatal experience with speech, which mainly consists of prosody due to the filtering effects of the womb, is what shapes the speech perception system, laying the foundations of subsequent language learning. Prosody is thus the cue that links genetically endowed predispositions present in the initial state with language experience. The proposal links the behavioral and neural levels, arguing that the hierarchy of the neural oscillations corresponds to a unique developmental chronology in human infants’ experience with speech and language.
The project uses state-of-the-art brain imaging techniques, EEG & NIRS, with monolingual full term newborns, as well as full-term bilingual, preterm and deaf newborns to investigate the link between prenatal experience and subsequent language acquisition. It proposes to follow the developmental trajectories of these four populations from birth to 6 and 9 months of age.
Max ERC Funding
1 621 250 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym BAHAMAS
Project A holistic approach to large-scale structure cosmology
Researcher (PI) Ian MCCARTHY
Host Institution (HI) LIVERPOOL JOHN MOORES UNIVERSITY
Country United Kingdom
Call Details Consolidator Grant (CoG), PE9, ERC-2017-COG
Summary The standard model of cosmology, the ɅCDM model, is remarkably successful at explaining a wide range of observations of our Universe. However, it is now being subjected to much more stringent tests than ever before, and recent large-scale structure (LSS) measurements appear to be in tension with its predictions. Is this tension signalling that new physics is required? For example, time-varying dark energy, or perhaps a modified theory of gravity? A contribution from massive neutrinos? Before coming to such bold conclusions we must be certain that all of the important systematic errors in the LSS tests have been accounted for.
Presently, the largest source of systematic uncertainty is from the modelling of complicated astrophysical phenomena associated with galaxy formation. In particular, energetic feedback processes associated with star formation and black hole growth can heat and expel gas from collapsed structures and modify the large-scale distribution of matter. Furthermore, the LSS field is presently separated into many sub-fields (each using different models, that usually neglect feedback), preventing a coherent analysis.
Cosmological hydrodynamical simulations (are the only method which) can follow all the relevant matter components and self-consistently capture the effects of feedback. I have been leading the development of large-scale simulations with physically-motivated prescriptions for feedback that are unrivalled in their ability to reproduce the observed properties of massive systems. With ERC support, I will build a team to exploit these developments, to produce a suite of simulations designed specifically for LSS cosmology applications with the effects of feedback realistically accounted for and which will allow us to unite the different LSS tests. My team and I will make the first self-consistent comparisons with the full range of LSS cosmology tests, and critically assess the evidence for physics beyond the standard model.
Summary
The standard model of cosmology, the ɅCDM model, is remarkably successful at explaining a wide range of observations of our Universe. However, it is now being subjected to much more stringent tests than ever before, and recent large-scale structure (LSS) measurements appear to be in tension with its predictions. Is this tension signalling that new physics is required? For example, time-varying dark energy, or perhaps a modified theory of gravity? A contribution from massive neutrinos? Before coming to such bold conclusions we must be certain that all of the important systematic errors in the LSS tests have been accounted for.
Presently, the largest source of systematic uncertainty is from the modelling of complicated astrophysical phenomena associated with galaxy formation. In particular, energetic feedback processes associated with star formation and black hole growth can heat and expel gas from collapsed structures and modify the large-scale distribution of matter. Furthermore, the LSS field is presently separated into many sub-fields (each using different models, that usually neglect feedback), preventing a coherent analysis.
Cosmological hydrodynamical simulations (are the only method which) can follow all the relevant matter components and self-consistently capture the effects of feedback. I have been leading the development of large-scale simulations with physically-motivated prescriptions for feedback that are unrivalled in their ability to reproduce the observed properties of massive systems. With ERC support, I will build a team to exploit these developments, to produce a suite of simulations designed specifically for LSS cosmology applications with the effects of feedback realistically accounted for and which will allow us to unite the different LSS tests. My team and I will make the first self-consistent comparisons with the full range of LSS cosmology tests, and critically assess the evidence for physics beyond the standard model.
Max ERC Funding
1 725 982 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym Bits2Cosmology
Project Time-domain Gibbs sampling: From bits to inflationary gravitational waves
Researcher (PI) Hans Kristian ERIKSEN
Host Institution (HI) UNIVERSITETET I OSLO
Country Norway
Call Details Consolidator Grant (CoG), PE9, ERC-2017-COG
Summary The detection of primordial gravity waves created during the Big Bang ranks among the greatest potential intellectual achievements in modern science. During the last few decades, the instrumental progress necessary to achieve this has been nothing short of breathtaking, and we today are able to measure the microwave sky with better than one-in-a-million precision. However, from the latest ultra-sensitive experiments such as BICEP2 and Planck, it is clear that instrumental sensitivity alone will not be sufficient to make a robust detection of gravitational waves. Contamination in the form of astrophysical radiation from the Milky Way, for instance thermal dust and synchrotron radiation, obscures the cosmological signal by orders of magnitude. Even more critically, though, are second-order interactions between this radiation and the instrument characterization itself that lead to a highly non-linear and complicated problem.
I propose a ground-breaking solution to this problem that allows for joint estimation of cosmological parameters, astrophysical components, and instrument specifications. The engine of this method is called Gibbs sampling, which I have already applied extremely successfully to basic CMB component separation. The new and ciritical step is to apply this method to raw time-ordered observations observed directly by the instrument, as opposed to pre-processed frequency maps. While representing a ~100-fold increase in input data volume, this step is unavoidable in order to break through the current foreground-induced systematics floor. I will apply this method to the best currently available and future data sets (WMAP, Planck, SPIDER and LiteBIRD), and thereby derive the world's tightest constraint on the amplitude of inflationary gravitational waves. Additionally, the resulting ancillary science in the form of robust cosmological parameters and astrophysical component maps will represent the state-of-the-art in observational cosmology in years to come.
Summary
The detection of primordial gravity waves created during the Big Bang ranks among the greatest potential intellectual achievements in modern science. During the last few decades, the instrumental progress necessary to achieve this has been nothing short of breathtaking, and we today are able to measure the microwave sky with better than one-in-a-million precision. However, from the latest ultra-sensitive experiments such as BICEP2 and Planck, it is clear that instrumental sensitivity alone will not be sufficient to make a robust detection of gravitational waves. Contamination in the form of astrophysical radiation from the Milky Way, for instance thermal dust and synchrotron radiation, obscures the cosmological signal by orders of magnitude. Even more critically, though, are second-order interactions between this radiation and the instrument characterization itself that lead to a highly non-linear and complicated problem.
I propose a ground-breaking solution to this problem that allows for joint estimation of cosmological parameters, astrophysical components, and instrument specifications. The engine of this method is called Gibbs sampling, which I have already applied extremely successfully to basic CMB component separation. The new and ciritical step is to apply this method to raw time-ordered observations observed directly by the instrument, as opposed to pre-processed frequency maps. While representing a ~100-fold increase in input data volume, this step is unavoidable in order to break through the current foreground-induced systematics floor. I will apply this method to the best currently available and future data sets (WMAP, Planck, SPIDER and LiteBIRD), and thereby derive the world's tightest constraint on the amplitude of inflationary gravitational waves. Additionally, the resulting ancillary science in the form of robust cosmological parameters and astrophysical component maps will represent the state-of-the-art in observational cosmology in years to come.
Max ERC Funding
1 999 205 €
Duration
Start date: 2018-04-01, End date: 2023-03-31
