Project acronym ACROSSBORDERS
Project Across ancient borders and cultures: An Egyptian microcosm in Sudan during the 2nd millennium BC
Researcher (PI) Julia Budka
Host Institution (HI) LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Call Details Starting Grant (StG), SH6, ERC-2012-StG_20111124
Summary Pharaonic Egypt is commonly known for its pyramids and tomb treasures. The present knowledge of Egyptian everyday life and social structures derives mostly from mortuary records associated with the upper classes, whereas traces of ordinary life from domestic sites are generally disregarded. Settlement archaeology in Egypt and Nubia (Ancient North Sudan) is still in its infancy; it is timely to strenghten this field. Responsible for the pottery at three major settlement sites (Abydos and Elephantine in Egypt; Sai Island in Sudan), the PI is in a unique position to co-ordinate a research project on settlement patterns in Northeast Africa of the 2nd millennium BC based on the detailed analysis of material remains. The selected case studies situated across ancient and modern borders and of diverse environmental and cultural preconditions, show very similar archaeological remains. Up to now, no attempt has been made to explain this situation in detail.
The focus of the project is the well-preserved, only partially explored site of Sai Island, seemingly an Egyptian microcosm in New Kingdom Upper Nubia. Little time is left to conduct the requisite large-scale archaeology as Sai is endangered by the planned high dam of Dal. With the application of microarchaeology we will introduce an approach that is new in Egyptian settlement archaeology. Our interdisciplinary research will result in novel insights into (a) multifaceted lives on Sai at a micro-spatial level and (b) domestic life in 2nd millennium BC Egypt and Nubia from a macroscopic view. The present understanding of the political situation in Upper Nubia during the New Kingdom as based on written records will be significantly enlarged by the envisaged approach. Furthermore, in reconstructing Sai Island as “home away from home”, the project presents a showcase study of what we can learn about acculturation and adaptation from ancient cultures, in this case from the coexistence of Egyptians and Nubians
Summary
Pharaonic Egypt is commonly known for its pyramids and tomb treasures. The present knowledge of Egyptian everyday life and social structures derives mostly from mortuary records associated with the upper classes, whereas traces of ordinary life from domestic sites are generally disregarded. Settlement archaeology in Egypt and Nubia (Ancient North Sudan) is still in its infancy; it is timely to strenghten this field. Responsible for the pottery at three major settlement sites (Abydos and Elephantine in Egypt; Sai Island in Sudan), the PI is in a unique position to co-ordinate a research project on settlement patterns in Northeast Africa of the 2nd millennium BC based on the detailed analysis of material remains. The selected case studies situated across ancient and modern borders and of diverse environmental and cultural preconditions, show very similar archaeological remains. Up to now, no attempt has been made to explain this situation in detail.
The focus of the project is the well-preserved, only partially explored site of Sai Island, seemingly an Egyptian microcosm in New Kingdom Upper Nubia. Little time is left to conduct the requisite large-scale archaeology as Sai is endangered by the planned high dam of Dal. With the application of microarchaeology we will introduce an approach that is new in Egyptian settlement archaeology. Our interdisciplinary research will result in novel insights into (a) multifaceted lives on Sai at a micro-spatial level and (b) domestic life in 2nd millennium BC Egypt and Nubia from a macroscopic view. The present understanding of the political situation in Upper Nubia during the New Kingdom as based on written records will be significantly enlarged by the envisaged approach. Furthermore, in reconstructing Sai Island as “home away from home”, the project presents a showcase study of what we can learn about acculturation and adaptation from ancient cultures, in this case from the coexistence of Egyptians and Nubians
Max ERC Funding
1 497 460 €
Duration
Start date: 2012-12-01, End date: 2018-04-30
Project acronym ACTIVIA
Project Visual Recognition of Function and Intention
Researcher (PI) Ivan Laptev
Host Institution (HI) INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE
Call Details Starting Grant (StG), PE6, ERC-2012-StG_20111012
Summary "Computer vision is concerned with the automated interpretation of images and video streams. Today's research is (mostly) aimed at answering queries such as ""Is this a picture of a dog?"", (classification) or sometimes ""Find the dog in this photo"" (detection). While categorisation and detection are useful for many tasks, inferring correct class labels is not the final answer to visual recognition. The categories and locations of objects do not provide direct understanding of their function i.e., how things work, what they can be used for, or how they can act and react. Such an understanding, however, would be highly desirable to answer currently unsolvable queries such as ""Am I in danger?"" or ""What can happen in this scene?"". Solving such queries is the aim of this proposal.
My goal is to uncover the functional properties of objects and the purpose of actions by addressing visual recognition from a different and yet unexplored perspective. The main novelty of this proposal is to leverage observations of people, i.e., their actions and interactions to automatically learn the use, the purpose and the function of objects and scenes from visual data. The project is timely as it builds upon the two key recent technological advances: (a) the immense progress in visual recognition of objects, scenes and human actions achieved in the last ten years, as well as (b) the emergence of a massive amount of public image and video data now available to train visual models.
ACTIVIA addresses fundamental research issues in automated interpretation of dynamic visual scenes, but its results are expected to serve as a basis for ground-breaking technological advances in practical applications. The recognition of functional properties and intentions as explored in this project will directly support high-impact applications such as detection of abnormal events, which are likely to revolutionise today's approaches to crime protection, hazard prevention, elderly care, and many others."
Summary
"Computer vision is concerned with the automated interpretation of images and video streams. Today's research is (mostly) aimed at answering queries such as ""Is this a picture of a dog?"", (classification) or sometimes ""Find the dog in this photo"" (detection). While categorisation and detection are useful for many tasks, inferring correct class labels is not the final answer to visual recognition. The categories and locations of objects do not provide direct understanding of their function i.e., how things work, what they can be used for, or how they can act and react. Such an understanding, however, would be highly desirable to answer currently unsolvable queries such as ""Am I in danger?"" or ""What can happen in this scene?"". Solving such queries is the aim of this proposal.
My goal is to uncover the functional properties of objects and the purpose of actions by addressing visual recognition from a different and yet unexplored perspective. The main novelty of this proposal is to leverage observations of people, i.e., their actions and interactions to automatically learn the use, the purpose and the function of objects and scenes from visual data. The project is timely as it builds upon the two key recent technological advances: (a) the immense progress in visual recognition of objects, scenes and human actions achieved in the last ten years, as well as (b) the emergence of a massive amount of public image and video data now available to train visual models.
ACTIVIA addresses fundamental research issues in automated interpretation of dynamic visual scenes, but its results are expected to serve as a basis for ground-breaking technological advances in practical applications. The recognition of functional properties and intentions as explored in this project will directly support high-impact applications such as detection of abnormal events, which are likely to revolutionise today's approaches to crime protection, hazard prevention, elderly care, and many others."
Max ERC Funding
1 497 420 €
Duration
Start date: 2013-01-01, End date: 2018-12-31
Project acronym ADAPT
Project Theory and Algorithms for Adaptive Particle Simulation
Researcher (PI) Stephane Redon
Host Institution (HI) INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE
Call Details Starting Grant (StG), PE6, ERC-2012-StG_20111012
Summary "During the twentieth century, the development of macroscopic engineering has been largely stimulated by progress in digital prototyping: cars, planes, boats, etc. are nowadays designed and tested on computers. Digital prototypes have progressively replaced actual ones, and effective computer-aided engineering tools have helped cut costs and reduce production cycles of these macroscopic systems.
The twenty-first century is most likely to see a similar development at the atomic scale. Indeed, the recent years have seen tremendous progress in nanotechnology - in particular in the ability to control matter at the atomic scale. Similar to what has happened with macroscopic engineering, powerful and generic computational tools will be needed to engineer complex nanosystems, through modeling and simulation. As a result, a major challenge is to develop efficient simulation methods and algorithms.
NANO-D, the INRIA research group I started in January 2008 in Grenoble, France, aims at developing
efficient computational methods for modeling and simulating complex nanosystems, both natural and artificial. In particular, NANO-D develops SAMSON, a software application which gathers all algorithms designed by the group and its collaborators (SAMSON: Software for Adaptive Modeling and Simulation Of Nanosystems).
In this project, I propose to develop a unified theory, and associated algorithms, for adaptive particle simulation. The proposed theory will avoid problems that plague current popular multi-scale or hybrid simulation approaches by simulating a single potential throughout the system, while allowing users to finely trade precision for computational speed.
I believe the full development of the adaptive particle simulation theory will have an important impact on current modeling and simulation practices, and will enable practical design of complex nanosystems on desktop computers, which should significantly boost the emergence of generic nano-engineering."
Summary
"During the twentieth century, the development of macroscopic engineering has been largely stimulated by progress in digital prototyping: cars, planes, boats, etc. are nowadays designed and tested on computers. Digital prototypes have progressively replaced actual ones, and effective computer-aided engineering tools have helped cut costs and reduce production cycles of these macroscopic systems.
The twenty-first century is most likely to see a similar development at the atomic scale. Indeed, the recent years have seen tremendous progress in nanotechnology - in particular in the ability to control matter at the atomic scale. Similar to what has happened with macroscopic engineering, powerful and generic computational tools will be needed to engineer complex nanosystems, through modeling and simulation. As a result, a major challenge is to develop efficient simulation methods and algorithms.
NANO-D, the INRIA research group I started in January 2008 in Grenoble, France, aims at developing
efficient computational methods for modeling and simulating complex nanosystems, both natural and artificial. In particular, NANO-D develops SAMSON, a software application which gathers all algorithms designed by the group and its collaborators (SAMSON: Software for Adaptive Modeling and Simulation Of Nanosystems).
In this project, I propose to develop a unified theory, and associated algorithms, for adaptive particle simulation. The proposed theory will avoid problems that plague current popular multi-scale or hybrid simulation approaches by simulating a single potential throughout the system, while allowing users to finely trade precision for computational speed.
I believe the full development of the adaptive particle simulation theory will have an important impact on current modeling and simulation practices, and will enable practical design of complex nanosystems on desktop computers, which should significantly boost the emergence of generic nano-engineering."
Max ERC Funding
1 476 882 €
Duration
Start date: 2012-09-01, End date: 2017-08-31
Project acronym ADAPT
Project Origins and factors governing adaptation: Insights from experimental evolution and population genomic data
Researcher (PI) Thomas, Martin Jean Bataillon
Host Institution (HI) AARHUS UNIVERSITET
Call Details Starting Grant (StG), LS8, ERC-2012-StG_20111109
Summary "I propose a systematic study of the type of genetic variation enabling adaptation and factors that limit rates of adaptation in natural populations. New methods will be developed for analysing data from experimental evolution and population genomics. The methods will be applied to state of the art data from both fields. Adaptation is generated by natural selection sieving through heritable variation. Examples of adaptation are available from the fossil record and from extant populations. Genomic studies have supplied many instances of genomic regions exhibiting footprint of natural selection favouring new variants. Despite ample proof that adaptation happens, we know little about beneficial mutations– the raw stuff enabling adaptation. Is adaptation mediated by genetic variation pre-existing in the population, or by variation supplied de novo through mutations? We know even less about what factors limit rates of adaptation. Answers to these questions are crucial for Evolutionary Biology, but also for believable quantifications of the evolutionary potential of populations. Population genetic theory makes predictions and allows inference from the patterns of polymorphism within species and divergence between species. Yet models specifying the fitness effects of mutations are often missing. Fitness landscape models will be mobilized to fill this gap and develop methods for inferring the distribution of fitness effects and factors governing rates of adaptation. Insights into the processes underlying adaptation will thus be gained from experimental evolution and population genomics data. The applicability of insights gained from experimental evolution to comprehend adaptation in nature will be scrutinized. We will unite two very different approaches for studying adaptation. The project will boost our understanding of how selection shapes genomes and open the way for further quantitative tests of theories of adaptation."
Summary
"I propose a systematic study of the type of genetic variation enabling adaptation and factors that limit rates of adaptation in natural populations. New methods will be developed for analysing data from experimental evolution and population genomics. The methods will be applied to state of the art data from both fields. Adaptation is generated by natural selection sieving through heritable variation. Examples of adaptation are available from the fossil record and from extant populations. Genomic studies have supplied many instances of genomic regions exhibiting footprint of natural selection favouring new variants. Despite ample proof that adaptation happens, we know little about beneficial mutations– the raw stuff enabling adaptation. Is adaptation mediated by genetic variation pre-existing in the population, or by variation supplied de novo through mutations? We know even less about what factors limit rates of adaptation. Answers to these questions are crucial for Evolutionary Biology, but also for believable quantifications of the evolutionary potential of populations. Population genetic theory makes predictions and allows inference from the patterns of polymorphism within species and divergence between species. Yet models specifying the fitness effects of mutations are often missing. Fitness landscape models will be mobilized to fill this gap and develop methods for inferring the distribution of fitness effects and factors governing rates of adaptation. Insights into the processes underlying adaptation will thus be gained from experimental evolution and population genomics data. The applicability of insights gained from experimental evolution to comprehend adaptation in nature will be scrutinized. We will unite two very different approaches for studying adaptation. The project will boost our understanding of how selection shapes genomes and open the way for further quantitative tests of theories of adaptation."
Max ERC Funding
1 159 857 €
Duration
Start date: 2013-04-01, End date: 2018-03-31
Project acronym ADAPT
Project The Adoption of New Technological Arrays in the Production of Broadcast Television
Researcher (PI) John Cyril Paget Ellis
Host Institution (HI) ROYAL HOLLOWAY AND BEDFORD NEW COLLEGE
Call Details Advanced Grant (AdG), SH5, ERC-2012-ADG_20120411
Summary "Since 1960, the television industry has undergone successive waves of technological change. Both the methods of programme making and the programmes themselves have changed substantially. The current opening of TV’s vast archives to public and academic use has emphasised the need to explain old programming to new users. Why particular programmes are like they are is not obvious to the contemporary viewer: the prevailing technologies imposed limits and enabled forms that have fallen into disuse. The project will examine the processes of change which gave rise to the particular dominant configurations of technologies for sound and image capture and processing, and some idea of the national and regional variants that existed. It will emphasise the capabilities of the machines in use rather than the process of their invention. The project therefore studies how the technologies of film and tape were implemented; how both broadcasters and individual filmers coped with the conflicting demands of the different machines at their disposal; how new ‘standard ways of doing things’ gradually emerged; and how all of this enabled desired changes in the resultant programmes. The project will produce an overall written account of the principal changes in the technologies in use in broadcast TV since 1960 to the near present. It will offer a theory of technological innovation, and a major case study in the adoption of digital workflow management in production for broadcasting: the so-called ‘tapeless environment’ which is currently being implemented in major organisations. It will offer two historical case studies: a longditudinal study of the evolution of tape-based sound recording and one of the rapid change from 16mm film cutting to digital editing, a process that took less than five years. Reconstructions of the process of working with particular technological arrays will be filmed and will be made available as explanatory material for any online archive of TV material ."
Summary
"Since 1960, the television industry has undergone successive waves of technological change. Both the methods of programme making and the programmes themselves have changed substantially. The current opening of TV’s vast archives to public and academic use has emphasised the need to explain old programming to new users. Why particular programmes are like they are is not obvious to the contemporary viewer: the prevailing technologies imposed limits and enabled forms that have fallen into disuse. The project will examine the processes of change which gave rise to the particular dominant configurations of technologies for sound and image capture and processing, and some idea of the national and regional variants that existed. It will emphasise the capabilities of the machines in use rather than the process of their invention. The project therefore studies how the technologies of film and tape were implemented; how both broadcasters and individual filmers coped with the conflicting demands of the different machines at their disposal; how new ‘standard ways of doing things’ gradually emerged; and how all of this enabled desired changes in the resultant programmes. The project will produce an overall written account of the principal changes in the technologies in use in broadcast TV since 1960 to the near present. It will offer a theory of technological innovation, and a major case study in the adoption of digital workflow management in production for broadcasting: the so-called ‘tapeless environment’ which is currently being implemented in major organisations. It will offer two historical case studies: a longditudinal study of the evolution of tape-based sound recording and one of the rapid change from 16mm film cutting to digital editing, a process that took less than five years. Reconstructions of the process of working with particular technological arrays will be filmed and will be made available as explanatory material for any online archive of TV material ."
Max ERC Funding
1 680 121 €
Duration
Start date: 2013-08-01, End date: 2018-07-31
Project acronym AgeConsolidate
Project The Missing Link of Episodic Memory Decline in Aging: The Role of Inefficient Systems Consolidation
Researcher (PI) Anders Martin FJELL
Host Institution (HI) UNIVERSITETET I OSLO
Call Details Consolidator Grant (CoG), SH4, ERC-2016-COG
Summary Which brain mechanisms are responsible for the faith of the memories we make with age, whether they wither or stay, and in what form? Episodic memory function does decline with age. While this decline can have multiple causes, research has focused almost entirely on encoding and retrieval processes, largely ignoring a third critical process– consolidation. The objective of AgeConsolidate is to provide this missing link, by combining novel experimental cognitive paradigms with neuroimaging in a longitudinal large-scale attempt to directly test how age-related changes in consolidation processes in the brain impact episodic memory decline. The ambitious aims of the present proposal are two-fold:
(1) Use recent advances in memory consolidation theory to achieve an elaborate model of episodic memory deficits in aging
(2) Use aging as a model to uncover how structural and functional brain changes affect episodic memory consolidation in general
The novelty of the project lies in the synthesis of recent methodological advances and theoretical models for episodic memory consolidation to explain age-related decline, by employing a unique combination of a range of different techniques and approaches. This is ground-breaking, in that it aims at taking our understanding of the brain processes underlying episodic memory decline in aging to a new level, while at the same time advancing our theoretical understanding of how episodic memories are consolidated in the human brain. To obtain this outcome, I will test the main hypothesis of the project: Brain processes of episodic memory consolidation are less effective in older adults, and this can account for a significant portion of the episodic memory decline in aging. This will be answered by six secondary hypotheses, with 1-3 experiments or tasks designated to address each hypothesis, focusing on functional and structural MRI, positron emission tomography data and sleep experiments to target consolidation from different angles.
Summary
Which brain mechanisms are responsible for the faith of the memories we make with age, whether they wither or stay, and in what form? Episodic memory function does decline with age. While this decline can have multiple causes, research has focused almost entirely on encoding and retrieval processes, largely ignoring a third critical process– consolidation. The objective of AgeConsolidate is to provide this missing link, by combining novel experimental cognitive paradigms with neuroimaging in a longitudinal large-scale attempt to directly test how age-related changes in consolidation processes in the brain impact episodic memory decline. The ambitious aims of the present proposal are two-fold:
(1) Use recent advances in memory consolidation theory to achieve an elaborate model of episodic memory deficits in aging
(2) Use aging as a model to uncover how structural and functional brain changes affect episodic memory consolidation in general
The novelty of the project lies in the synthesis of recent methodological advances and theoretical models for episodic memory consolidation to explain age-related decline, by employing a unique combination of a range of different techniques and approaches. This is ground-breaking, in that it aims at taking our understanding of the brain processes underlying episodic memory decline in aging to a new level, while at the same time advancing our theoretical understanding of how episodic memories are consolidated in the human brain. To obtain this outcome, I will test the main hypothesis of the project: Brain processes of episodic memory consolidation are less effective in older adults, and this can account for a significant portion of the episodic memory decline in aging. This will be answered by six secondary hypotheses, with 1-3 experiments or tasks designated to address each hypothesis, focusing on functional and structural MRI, positron emission tomography data and sleep experiments to target consolidation from different angles.
Max ERC Funding
1 999 482 €
Duration
Start date: 2017-05-01, End date: 2022-04-30
Project acronym AgricUrb
Project The Agricultural Origins of Urban Civilization
Researcher (PI) Amy Marie Bogaard
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Call Details Starting Grant (StG), SH6, ERC-2012-StG_20111124
Summary The establishment of farming is a pivotal moment in human history, setting the stage for the emergence of class-based society and urbanization. Monolithic views of the nature and development of early agriculture, however, have prevented clear understanding of how exactly farming fuelled, shaped and sustained the emergence of complex societies. A breakthrough in archaeological approach is needed to determine the actual roles of farming in the emergence of social complexity. The methodology required must push beyond conventional interpretation of the most direct farming evidence – archaeobotanical remains of crops and associated arable weeds – to reconstruct not only what crops were grown, but also how, where and why farming was practised. Addressing these related aspects, in contexts ranging from early agricultural villages to some of the world’s earliest cities, would provide the key to unraveling the contribution of farming to the development of lasting social inequalities. The research proposed here takes a new interdisciplinary approach combining archaeobotany, plant stable isotope chemistry and functional plant ecology, building on groundwork laid in previous research by the applicant. These approaches will be applied to two relatively well researched areas, western Asia and Europe, where a series of sites that chart multiple pathways to early complex societies offer rich plant and other bioarchaeological assemblages. The proposed project will set a wholly new standard of insight into early farming and its relationship with early civilization, facilitating similar approaches in other parts of the world and the construction of comparative perspectives on the global significance of early agriculture in social development.
Summary
The establishment of farming is a pivotal moment in human history, setting the stage for the emergence of class-based society and urbanization. Monolithic views of the nature and development of early agriculture, however, have prevented clear understanding of how exactly farming fuelled, shaped and sustained the emergence of complex societies. A breakthrough in archaeological approach is needed to determine the actual roles of farming in the emergence of social complexity. The methodology required must push beyond conventional interpretation of the most direct farming evidence – archaeobotanical remains of crops and associated arable weeds – to reconstruct not only what crops were grown, but also how, where and why farming was practised. Addressing these related aspects, in contexts ranging from early agricultural villages to some of the world’s earliest cities, would provide the key to unraveling the contribution of farming to the development of lasting social inequalities. The research proposed here takes a new interdisciplinary approach combining archaeobotany, plant stable isotope chemistry and functional plant ecology, building on groundwork laid in previous research by the applicant. These approaches will be applied to two relatively well researched areas, western Asia and Europe, where a series of sites that chart multiple pathways to early complex societies offer rich plant and other bioarchaeological assemblages. The proposed project will set a wholly new standard of insight into early farming and its relationship with early civilization, facilitating similar approaches in other parts of the world and the construction of comparative perspectives on the global significance of early agriculture in social development.
Max ERC Funding
1 199 647 €
Duration
Start date: 2013-02-01, End date: 2017-01-31
Project acronym AlchemEast
Project Alchemy in the Making: From ancient Babylonia via Graeco-Roman Egypt into the Byzantine, Syriac and Arabic traditions (1500 BCE - 1000 AD)
Researcher (PI) Matteo MARTELLI
Host Institution (HI) ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA
Call Details Consolidator Grant (CoG), SH5, ERC-2016-COG
Summary The AlchemEast project is devoted to the study of alchemical theory and practice as it appeared and developed in distinct, albeit contiguous (both chronologically and geographically) areas: Graeco-Roman Egypt, Byzantium, and the Near East, from Ancient Babylonian times to the early Islamic Period. This project combines innovative textual investigations with experimental replications of ancient alchemical procedures. It uses sets of historically and philologically informed laboratory replications in order to reconstruct the actual practice of ancient alchemists, and it studies the texts and literary forms in which this practice was conceptualized and transmitted. It proposes new models for textual criticism in order to capture the fluidity of the transmission of ancient alchemical writings. AlchemEast is designed to carry out a comparative investigation of cuneiform tablets as well as a vast corpus of Greek, Syriac and Arabic writings. It will overcome the old, pejorative paradigm that dismissed ancient alchemy as a "pseudo-science", by proposing a new theoretical framework for comprehending the entirety of ancient alchemical practices and theories. Alongside established forms of scholarly output, such as critical editions of key texts, AlchemEast will provide an integrative, longue durée perspective on the many different phases of ancient alchemy. It will thus offer a radically new vision of this discipline as a dynamic and diversified art that developed across different technical and scholastic traditions. This new representation will allow us to connect ancient alchemy with medieval and early modern alchemy and thus fully reintegrate ancient alchemy in the history of pre-modern alchemy as well as in the history of ancient science more broadly.
Summary
The AlchemEast project is devoted to the study of alchemical theory and practice as it appeared and developed in distinct, albeit contiguous (both chronologically and geographically) areas: Graeco-Roman Egypt, Byzantium, and the Near East, from Ancient Babylonian times to the early Islamic Period. This project combines innovative textual investigations with experimental replications of ancient alchemical procedures. It uses sets of historically and philologically informed laboratory replications in order to reconstruct the actual practice of ancient alchemists, and it studies the texts and literary forms in which this practice was conceptualized and transmitted. It proposes new models for textual criticism in order to capture the fluidity of the transmission of ancient alchemical writings. AlchemEast is designed to carry out a comparative investigation of cuneiform tablets as well as a vast corpus of Greek, Syriac and Arabic writings. It will overcome the old, pejorative paradigm that dismissed ancient alchemy as a "pseudo-science", by proposing a new theoretical framework for comprehending the entirety of ancient alchemical practices and theories. Alongside established forms of scholarly output, such as critical editions of key texts, AlchemEast will provide an integrative, longue durée perspective on the many different phases of ancient alchemy. It will thus offer a radically new vision of this discipline as a dynamic and diversified art that developed across different technical and scholastic traditions. This new representation will allow us to connect ancient alchemy with medieval and early modern alchemy and thus fully reintegrate ancient alchemy in the history of pre-modern alchemy as well as in the history of ancient science more broadly.
Max ERC Funding
1 997 000 €
Duration
Start date: 2017-12-01, End date: 2022-11-30
Project acronym ALEXANDRIA
Project Large-Scale Formal Proof for the Working Mathematician
Researcher (PI) Lawrence PAULSON
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Call Details Advanced Grant (AdG), PE6, ERC-2016-ADG
Summary Mathematical proofs have always been prone to error. Today, proofs can be hundreds of pages long and combine results from many specialisms, making them almost impossible to check. One solution is to deploy modern verification technology. Interactive theorem provers have demonstrated their potential as vehicles for formalising mathematics through achievements such as the verification of the Kepler Conjecture. Proofs done using such tools reach a high standard of correctness.
However, existing theorem provers are unsuitable for mathematics. Their formal proofs are unreadable. They struggle to do simple tasks, such as evaluating limits. They lack much basic mathematics, and the material they do have is difficult to locate and apply.
ALEXANDRIA will create a proof development environment attractive to working mathematicians, utilising the best technology available across computer science. Its focus will be the management and use of large-scale mathematical knowledge, both theorems and algorithms. The project will employ mathematicians to investigate the formalisation of mathematics in practice. Our already substantial formalised libraries will serve as the starting point. They will be extended and annotated to support sophisticated searches. Techniques will be borrowed from machine learning, information retrieval and natural language processing. Algorithms will be treated similarly: ALEXANDRIA will help users find and invoke the proof methods and algorithms appropriate for the task.
ALEXANDRIA will provide (1) comprehensive formal mathematical libraries; (2) search within libraries, and the mining of libraries for proof patterns; (3) automated support for the construction of large formal proofs; (4) sound and practical computer algebra tools.
ALEXANDRIA will be based on legible structured proofs. Formal proofs should be not mere code, but a machine-checkable form of communication between mathematicians.
Summary
Mathematical proofs have always been prone to error. Today, proofs can be hundreds of pages long and combine results from many specialisms, making them almost impossible to check. One solution is to deploy modern verification technology. Interactive theorem provers have demonstrated their potential as vehicles for formalising mathematics through achievements such as the verification of the Kepler Conjecture. Proofs done using such tools reach a high standard of correctness.
However, existing theorem provers are unsuitable for mathematics. Their formal proofs are unreadable. They struggle to do simple tasks, such as evaluating limits. They lack much basic mathematics, and the material they do have is difficult to locate and apply.
ALEXANDRIA will create a proof development environment attractive to working mathematicians, utilising the best technology available across computer science. Its focus will be the management and use of large-scale mathematical knowledge, both theorems and algorithms. The project will employ mathematicians to investigate the formalisation of mathematics in practice. Our already substantial formalised libraries will serve as the starting point. They will be extended and annotated to support sophisticated searches. Techniques will be borrowed from machine learning, information retrieval and natural language processing. Algorithms will be treated similarly: ALEXANDRIA will help users find and invoke the proof methods and algorithms appropriate for the task.
ALEXANDRIA will provide (1) comprehensive formal mathematical libraries; (2) search within libraries, and the mining of libraries for proof patterns; (3) automated support for the construction of large formal proofs; (4) sound and practical computer algebra tools.
ALEXANDRIA will be based on legible structured proofs. Formal proofs should be not mere code, but a machine-checkable form of communication between mathematicians.
Max ERC Funding
2 430 140 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym ALFA
Project Shaping a European Scientific Scene : Alfonsine Astronomy
Researcher (PI) Matthieu Husson
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Call Details Consolidator Grant (CoG), SH6, ERC-2016-COG
Summary Alfonsine astronomy is arguably among the first European scientific achievements. It shaped a scene for actors like Regiomontanus or Copernicus. There is however little detailed historical analysis encompassing its development in its full breadth. ALFA addresses this issue by studying tables, instruments, mathematical and theoretical texts in a methodologically innovative way relying on approaches from the history of manuscript cultures, history of mathematics, and history of astronomy.
ALFA integrates these approaches not only to benefit from different perspectives but also to build new questions from their interactions. For instance the analysis of mathematical practices in astral sciences manuscripts induces new ways to analyse the documents and to think about astronomical questions.
Relying on these approaches the main objectives of ALFA are thus to:
- Retrace the development of the corpus of Alfonsine texts from its origin in the second half of the 13th century to the end of the 15th century by following, on the manuscript level, the milieus fostering it;
- Analyse the Alfonsine astronomers’ practices, their relations to mathematics, to the natural world, to proofs and justification, their intellectual context and audiences;
- Build a meaningful narrative showing how astronomers in different milieus with diverse practices shaped, also from Arabic materials, an original scientific scene in Europe.
ALFA will shed new light on the intellectual history of the late medieval period as a whole and produce a better understanding of its relations to related scientific periods in Europe and beyond. It will also produce methodological breakthroughs impacting the ways history of knowledge is practiced outside the field of ancient and medieval sciences. Efforts will be devoted to bring these results not only to the relevant scholarly communities but also to a wider audience as a resource in the public debates around science, knowledge and culture.
Summary
Alfonsine astronomy is arguably among the first European scientific achievements. It shaped a scene for actors like Regiomontanus or Copernicus. There is however little detailed historical analysis encompassing its development in its full breadth. ALFA addresses this issue by studying tables, instruments, mathematical and theoretical texts in a methodologically innovative way relying on approaches from the history of manuscript cultures, history of mathematics, and history of astronomy.
ALFA integrates these approaches not only to benefit from different perspectives but also to build new questions from their interactions. For instance the analysis of mathematical practices in astral sciences manuscripts induces new ways to analyse the documents and to think about astronomical questions.
Relying on these approaches the main objectives of ALFA are thus to:
- Retrace the development of the corpus of Alfonsine texts from its origin in the second half of the 13th century to the end of the 15th century by following, on the manuscript level, the milieus fostering it;
- Analyse the Alfonsine astronomers’ practices, their relations to mathematics, to the natural world, to proofs and justification, their intellectual context and audiences;
- Build a meaningful narrative showing how astronomers in different milieus with diverse practices shaped, also from Arabic materials, an original scientific scene in Europe.
ALFA will shed new light on the intellectual history of the late medieval period as a whole and produce a better understanding of its relations to related scientific periods in Europe and beyond. It will also produce methodological breakthroughs impacting the ways history of knowledge is practiced outside the field of ancient and medieval sciences. Efforts will be devoted to bring these results not only to the relevant scholarly communities but also to a wider audience as a resource in the public debates around science, knowledge and culture.
Max ERC Funding
1 871 250 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym ALGAME
Project Algorithms, Games, Mechanisms, and the Price of Anarchy
Researcher (PI) Elias Koutsoupias
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Call Details Advanced Grant (AdG), PE6, ERC-2012-ADG_20120216
Summary The objective of this proposal is to bring together a local team of young researchers who will work closely with international collaborators to advance the state of the art of Algorithmic Game Theory and open new venues of research at the interface of Computer Science, Game Theory, and Economics. The proposal consists mainly of three intertwined research strands: algorithmic mechanism design, price of anarchy, and online algorithms.
Specifically, we will attempt to resolve some outstanding open problems in algorithmic mechanism design: characterizing the incentive compatible mechanisms for important domains, such as the domain of combinatorial auctions, and resolving the approximation ratio of mechanisms for scheduling unrelated machines. More generally, we will study centralized and distributed algorithms whose inputs are controlled by selfish agents that are interested in the outcome of the computation. We will investigate new notions of mechanisms with strong truthfulness and limited susceptibility to externalities that can facilitate modular design of mechanisms of complex domains.
We will expand the current research on the price of anarchy to time-dependent games where the players can select not only how to act but also when to act. We also plan to resolve outstanding questions on the price of stability and to build a robust approach to these questions, similar to smooth analysis. For repeated games, we will investigate convergence of simple strategies (e.g., fictitious play), online fairness, and strategic considerations (e.g., metagames). More generally, our aim is to find a productive formulation of playing unknown games by drawing on the fields of online algorithms and machine learning.
Summary
The objective of this proposal is to bring together a local team of young researchers who will work closely with international collaborators to advance the state of the art of Algorithmic Game Theory and open new venues of research at the interface of Computer Science, Game Theory, and Economics. The proposal consists mainly of three intertwined research strands: algorithmic mechanism design, price of anarchy, and online algorithms.
Specifically, we will attempt to resolve some outstanding open problems in algorithmic mechanism design: characterizing the incentive compatible mechanisms for important domains, such as the domain of combinatorial auctions, and resolving the approximation ratio of mechanisms for scheduling unrelated machines. More generally, we will study centralized and distributed algorithms whose inputs are controlled by selfish agents that are interested in the outcome of the computation. We will investigate new notions of mechanisms with strong truthfulness and limited susceptibility to externalities that can facilitate modular design of mechanisms of complex domains.
We will expand the current research on the price of anarchy to time-dependent games where the players can select not only how to act but also when to act. We also plan to resolve outstanding questions on the price of stability and to build a robust approach to these questions, similar to smooth analysis. For repeated games, we will investigate convergence of simple strategies (e.g., fictitious play), online fairness, and strategic considerations (e.g., metagames). More generally, our aim is to find a productive formulation of playing unknown games by drawing on the fields of online algorithms and machine learning.
Max ERC Funding
2 461 000 €
Duration
Start date: 2013-04-01, End date: 2019-03-31
Project acronym AlgoFinance
Project Algorithmic Finance: Inquiring into the Reshaping of Financial Markets
Researcher (PI) Christian BORCH
Host Institution (HI) COPENHAGEN BUSINESS SCHOOL
Call Details Consolidator Grant (CoG), SH3, ERC-2016-COG
Summary Present-day financial markets are turning algorithmic, as market orders are increasingly being executed by fully automated computer algorithms, without any direct human intervention. Although algorithmic finance seems to fundamentally reshape the central dynamics in financial markets, and even though it prompts core sociological questions, it has not yet received any systematic attention. In a pioneering contribution to economic sociology and social studies of finance, ALGOFINANCE aims to understand how and with what consequences the turn to algorithms is changing financial markets. The overall concept and central contributions of ALGOFINANCE are the following: (1) on an intra-firm level, the project examines how the shift to algorithmic finance reshapes the ways in which trading firms operate, and does so by systematically and empirically investigating the reconfiguration of organizational structures and employee subjectivity; (2) on an inter-algorithmic level, it offers a ground-breaking methodology (agent-based modelling informed by qualitative data) to grasp how trading algorithms interact with one another in a fully digital space; and (3) on the level of market sociality, it proposes a novel theorization of how intra-firm and inter-algorithmic dynamics can be conceived of as introducing a particular form of sociality that is characteristic to algorithmic finance: a form of sociality-as-association heuristically analyzed as imitation. None of these three levels have received systematic attention in the state-of-the-art literature. Addressing them will significantly advance the understanding of present-day algorithmic finance in economic sociology. By contributing novel empirical, methodological, and theoretical understandings of the functioning and consequences of algorithms, ALGOFINANCE will pave the way for other research into digital sociology and the broader algorithmization of society.
Summary
Present-day financial markets are turning algorithmic, as market orders are increasingly being executed by fully automated computer algorithms, without any direct human intervention. Although algorithmic finance seems to fundamentally reshape the central dynamics in financial markets, and even though it prompts core sociological questions, it has not yet received any systematic attention. In a pioneering contribution to economic sociology and social studies of finance, ALGOFINANCE aims to understand how and with what consequences the turn to algorithms is changing financial markets. The overall concept and central contributions of ALGOFINANCE are the following: (1) on an intra-firm level, the project examines how the shift to algorithmic finance reshapes the ways in which trading firms operate, and does so by systematically and empirically investigating the reconfiguration of organizational structures and employee subjectivity; (2) on an inter-algorithmic level, it offers a ground-breaking methodology (agent-based modelling informed by qualitative data) to grasp how trading algorithms interact with one another in a fully digital space; and (3) on the level of market sociality, it proposes a novel theorization of how intra-firm and inter-algorithmic dynamics can be conceived of as introducing a particular form of sociality that is characteristic to algorithmic finance: a form of sociality-as-association heuristically analyzed as imitation. None of these three levels have received systematic attention in the state-of-the-art literature. Addressing them will significantly advance the understanding of present-day algorithmic finance in economic sociology. By contributing novel empirical, methodological, and theoretical understandings of the functioning and consequences of algorithms, ALGOFINANCE will pave the way for other research into digital sociology and the broader algorithmization of society.
Max ERC Funding
1 590 036 €
Duration
Start date: 2017-05-01, End date: 2021-04-30
Project acronym AlgoRNN
Project Recurrent Neural Networks and Related Machines That Learn Algorithms
Researcher (PI) Juergen Schmidhuber
Host Institution (HI) UNIVERSITA DELLA SVIZZERA ITALIANA
Call Details Advanced Grant (AdG), PE6, ERC-2016-ADG
Summary Recurrent neural networks (RNNs) are general parallel-sequential computers. Some learn their programs or weights. Our supervised Long Short-Term Memory (LSTM) RNNs were the first to win pattern recognition contests, and recently enabled best known results in speech and handwriting recognition, machine translation, etc. They are now available to billions of users through the world's most valuable public companies including Google and Apple. Nevertheless, in lots of real-world tasks RNNs do not yet live up to their full potential. Although universal in theory, in practice they fail to learn important types of algorithms. This ERC project will go far beyond today's best RNNs through novel RNN-like systems that address some of the biggest open RNN problems and hottest RNN research topics: (1) How can RNNs learn to control (through internal spotlights of attention) separate large short-memory structures such as sub-networks with fast weights, to improve performance on many natural short-term memory-intensive tasks which are currently hard to learn by RNNs, such as answering detailed questions on recently observed videos? (2) How can such RNN-like systems metalearn entire learning algorithms that outperform the original learning algorithms? (3) How to achieve efficient transfer learning from one RNN-learned set of problem-solving programs to new RNN programs solving new tasks? In other words, how can one RNN-like system actively learn to exploit algorithmic information contained in the programs running on another? We will test our systems existing benchmarks, and create new, more challenging multi-task benchmarks. This will be supported by a rather cheap, GPU-based mini-brain for implementing large RNNs.
Summary
Recurrent neural networks (RNNs) are general parallel-sequential computers. Some learn their programs or weights. Our supervised Long Short-Term Memory (LSTM) RNNs were the first to win pattern recognition contests, and recently enabled best known results in speech and handwriting recognition, machine translation, etc. They are now available to billions of users through the world's most valuable public companies including Google and Apple. Nevertheless, in lots of real-world tasks RNNs do not yet live up to their full potential. Although universal in theory, in practice they fail to learn important types of algorithms. This ERC project will go far beyond today's best RNNs through novel RNN-like systems that address some of the biggest open RNN problems and hottest RNN research topics: (1) How can RNNs learn to control (through internal spotlights of attention) separate large short-memory structures such as sub-networks with fast weights, to improve performance on many natural short-term memory-intensive tasks which are currently hard to learn by RNNs, such as answering detailed questions on recently observed videos? (2) How can such RNN-like systems metalearn entire learning algorithms that outperform the original learning algorithms? (3) How to achieve efficient transfer learning from one RNN-learned set of problem-solving programs to new RNN programs solving new tasks? In other words, how can one RNN-like system actively learn to exploit algorithmic information contained in the programs running on another? We will test our systems existing benchmarks, and create new, more challenging multi-task benchmarks. This will be supported by a rather cheap, GPU-based mini-brain for implementing large RNNs.
Max ERC Funding
2 500 000 €
Duration
Start date: 2017-10-01, End date: 2022-09-30
Project acronym ALGSTRONGCRYPTO
Project Algebraic Methods for Stronger Crypto
Researcher (PI) Ronald John Fitzgerald CRAMER
Host Institution (HI) STICHTING NEDERLANDSE WETENSCHAPPELIJK ONDERZOEK INSTITUTEN
Call Details Advanced Grant (AdG), PE6, ERC-2016-ADG
Summary Our field is cryptology. Our overarching objective is to advance significantly the frontiers in
design and analysis of high-security cryptography for the future generation.
Particularly, we wish to enhance the efficiency, functionality, and, last-but-not-least, fundamental understanding of cryptographic security against very powerful adversaries.
Our approach here is to develop completely novel methods by
deepening, strengthening and broadening the
algebraic foundations of the field.
Concretely, our lens builds on
the arithmetic codex. This is a general, abstract cryptographic primitive whose basic theory we recently developed and whose asymptotic part, which relies on algebraic geometry, enjoys crucial applications in surprising foundational results on constant communication-rate two-party cryptography. A codex is a linear (error correcting) code that, when endowing its ambient vector space just with coordinate-wise multiplication, can be viewed as simulating, up to some degree, richer arithmetical structures such as finite fields (or products thereof), or generally, finite-dimensional algebras over finite fields. Besides this degree, coordinate-localities for which simulation holds and for which it does not at all are also captured.
Our method is based on novel perspectives on codices which significantly
widen their scope and strengthen their utility. Particularly, we bring
symmetries, computational- and complexity theoretic aspects, and connections with algebraic number theory, -geometry, and -combinatorics into play in novel ways. Our applications range from public-key cryptography to secure multi-party computation.
Our proposal is subdivided into 3 interconnected modules:
(1) Algebraic- and Number Theoretical Cryptanalysis
(2) Construction of Algebraic Crypto Primitives
(3) Advanced Theory of Arithmetic Codices
Summary
Our field is cryptology. Our overarching objective is to advance significantly the frontiers in
design and analysis of high-security cryptography for the future generation.
Particularly, we wish to enhance the efficiency, functionality, and, last-but-not-least, fundamental understanding of cryptographic security against very powerful adversaries.
Our approach here is to develop completely novel methods by
deepening, strengthening and broadening the
algebraic foundations of the field.
Concretely, our lens builds on
the arithmetic codex. This is a general, abstract cryptographic primitive whose basic theory we recently developed and whose asymptotic part, which relies on algebraic geometry, enjoys crucial applications in surprising foundational results on constant communication-rate two-party cryptography. A codex is a linear (error correcting) code that, when endowing its ambient vector space just with coordinate-wise multiplication, can be viewed as simulating, up to some degree, richer arithmetical structures such as finite fields (or products thereof), or generally, finite-dimensional algebras over finite fields. Besides this degree, coordinate-localities for which simulation holds and for which it does not at all are also captured.
Our method is based on novel perspectives on codices which significantly
widen their scope and strengthen their utility. Particularly, we bring
symmetries, computational- and complexity theoretic aspects, and connections with algebraic number theory, -geometry, and -combinatorics into play in novel ways. Our applications range from public-key cryptography to secure multi-party computation.
Our proposal is subdivided into 3 interconnected modules:
(1) Algebraic- and Number Theoretical Cryptanalysis
(2) Construction of Algebraic Crypto Primitives
(3) Advanced Theory of Arithmetic Codices
Max ERC Funding
2 447 439 €
Duration
Start date: 2017-10-01, End date: 2022-09-30
Project acronym ALLEGRO
Project Active large-scale learning for visual recognition
Researcher (PI) Cordelia Schmid
Host Institution (HI) INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE
Call Details Advanced Grant (AdG), PE6, ERC-2012-ADG_20120216
Summary A massive and ever growing amount of digital image and video content
is available today, on sites such as
Flickr and YouTube, in audiovisual archives such as those of BBC and
INA, and in personal collections. In most cases, it comes with
additional information, such as text, audio or other metadata, that forms a
rather sparse and noisy, yet rich and diverse source of annotation,
ideally suited to emerging weakly supervised and active machine
learning technology. The ALLEGRO project will take visual recognition
to the next level by using this largely untapped source of data to
automatically learn visual models. The main research objective of
our project is the development of new algorithms and computer software
capable of autonomously exploring evolving data collections, selecting
the relevant information, and determining the visual models most
appropriate for different object, scene, and activity categories. An
emphasis will be put on learning visual models from video, a
particularly rich source of information, and on the representation of
human activities, one of today's most challenging problems in computer
vision. Although this project addresses fundamental research
issues, it is expected to result in significant advances in
high-impact applications that range from visual mining of the Web and
automated annotation and organization of family photo and video albums
to large-scale information retrieval in television archives.
Summary
A massive and ever growing amount of digital image and video content
is available today, on sites such as
Flickr and YouTube, in audiovisual archives such as those of BBC and
INA, and in personal collections. In most cases, it comes with
additional information, such as text, audio or other metadata, that forms a
rather sparse and noisy, yet rich and diverse source of annotation,
ideally suited to emerging weakly supervised and active machine
learning technology. The ALLEGRO project will take visual recognition
to the next level by using this largely untapped source of data to
automatically learn visual models. The main research objective of
our project is the development of new algorithms and computer software
capable of autonomously exploring evolving data collections, selecting
the relevant information, and determining the visual models most
appropriate for different object, scene, and activity categories. An
emphasis will be put on learning visual models from video, a
particularly rich source of information, and on the representation of
human activities, one of today's most challenging problems in computer
vision. Although this project addresses fundamental research
issues, it is expected to result in significant advances in
high-impact applications that range from visual mining of the Web and
automated annotation and organization of family photo and video albums
to large-scale information retrieval in television archives.
Max ERC Funding
2 493 322 €
Duration
Start date: 2013-04-01, End date: 2019-03-31
Project acronym ALTERUMMA
Project Creating an Alternative umma: Clerical Authority and Religio-political Mobilisation in Transnational Shii Islam
Researcher (PI) Oliver Paul SCHARBRODT
Host Institution (HI) THE UNIVERSITY OF BIRMINGHAM
Call Details Consolidator Grant (CoG), SH5, ERC-2016-COG
Summary This interdisciplinary project investigates the transformation of Shii Islam in the Middle East and Europe since the 1950s. The project examines the formation of modern Shii communal identities and the role Shii clerical authorities and their transnational networks have played in their religio-political mobilisation. The volatile situation post-Arab Spring, the rise of militant movements such as ISIS and the sectarianisation of geopolitical conflicts in the Middle East have intensified efforts to forge distinct Shii communal identities and to conceive Shii Muslims as part of an alternative umma (Islamic community). The project focusses on Iran, Iraq and significant but unexplored diasporic links to Syria, Kuwait and Britain. In response to the rise of modern nation-states in the Middle East, Shii clerical authorities resorted to a wide range of activities: (a) articulating intellectual responses to the ideologies underpinning modern Middle Eastern nation-states, (b) forming political parties and other platforms of socio-political activism and (c) using various forms of cultural production by systematising and promoting Shii ritual practices and utilising visual art, poetry and new media.
The project yields a perspectival shift on the factors that led to Shii communal mobilisation by:
- Analysing unacknowledged intellectual responses of Shii clerical authorities to the secular or sectarian ideologies of post-colonial nation-states and to the current sectarianisation of geopolitics in the Middle East.
- Emphasising the central role of diasporic networks in the Middle East and Europe in mobilising Shii communities and in influencing discourses and agendas of clerical authorities based in Iraq and Iran.
- Exploring new modes of cultural production in the form of a modern Shii aesthetics articulated in ritual practices, visual art, poetry and new media and thus creating a more holistic narrative on Shii religio-political mobilisation.
Summary
This interdisciplinary project investigates the transformation of Shii Islam in the Middle East and Europe since the 1950s. The project examines the formation of modern Shii communal identities and the role Shii clerical authorities and their transnational networks have played in their religio-political mobilisation. The volatile situation post-Arab Spring, the rise of militant movements such as ISIS and the sectarianisation of geopolitical conflicts in the Middle East have intensified efforts to forge distinct Shii communal identities and to conceive Shii Muslims as part of an alternative umma (Islamic community). The project focusses on Iran, Iraq and significant but unexplored diasporic links to Syria, Kuwait and Britain. In response to the rise of modern nation-states in the Middle East, Shii clerical authorities resorted to a wide range of activities: (a) articulating intellectual responses to the ideologies underpinning modern Middle Eastern nation-states, (b) forming political parties and other platforms of socio-political activism and (c) using various forms of cultural production by systematising and promoting Shii ritual practices and utilising visual art, poetry and new media.
The project yields a perspectival shift on the factors that led to Shii communal mobilisation by:
- Analysing unacknowledged intellectual responses of Shii clerical authorities to the secular or sectarian ideologies of post-colonial nation-states and to the current sectarianisation of geopolitics in the Middle East.
- Emphasising the central role of diasporic networks in the Middle East and Europe in mobilising Shii communities and in influencing discourses and agendas of clerical authorities based in Iraq and Iran.
- Exploring new modes of cultural production in the form of a modern Shii aesthetics articulated in ritual practices, visual art, poetry and new media and thus creating a more holistic narrative on Shii religio-political mobilisation.
Max ERC Funding
1 952 374 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym AMORE
Project A distributional MOdel of Reference to Entities
Researcher (PI) Gemma BOLEDA TORRENT
Host Institution (HI) UNIVERSIDAD POMPEU FABRA
Call Details Starting Grant (StG), SH4, ERC-2016-STG
Summary "When I asked my seven-year-old daughter ""Who is the boy in your class who was also new in school last year, like you?"", she instantly replied ""Daniel"", using the descriptive content in my utterance to identify an entity in the real world and refer to it. The ability to use language to refer to reality is crucial for humans, and yet it is very difficult to model. AMORE breaks new ground in Computational Linguistics, Linguistics, and Artificial Intelligence by developing a model of linguistic reference to entities implemented as a computational system that can learn its own representations from data.
This interdisciplinary project builds on two complementary semantic traditions: 1) Formal semantics, a symbolic approach that can delimit and track linguistic referents, but does not adequately match them with the descriptive content of linguistic expressions; 2) Distributional semantics, which can handle descriptive content but does not associate it to individuated referents. AMORE synthesizes the two approaches into a unified, scalable model of reference that operates with individuated referents and links them to referential expressions characterized by rich descriptive content. The model is a distributed (neural network) version of a formal semantic framework that is furthermore able to integrate perceptual (visual) and linguistic information about entities. We test it extensively in referential tasks that require matching noun phrases (“the Medicine student”, “the white cat”) with entity representations extracted from text and images.
AMORE advances our scientific understanding of language and its computational modeling, and contributes to the far-reaching debate between symbolic and distributed approaches to cognition with an integrative proposal. I am in a privileged position to carry out this integration, since I have contributed top research in both distributional and formal semantics.
"
Summary
"When I asked my seven-year-old daughter ""Who is the boy in your class who was also new in school last year, like you?"", she instantly replied ""Daniel"", using the descriptive content in my utterance to identify an entity in the real world and refer to it. The ability to use language to refer to reality is crucial for humans, and yet it is very difficult to model. AMORE breaks new ground in Computational Linguistics, Linguistics, and Artificial Intelligence by developing a model of linguistic reference to entities implemented as a computational system that can learn its own representations from data.
This interdisciplinary project builds on two complementary semantic traditions: 1) Formal semantics, a symbolic approach that can delimit and track linguistic referents, but does not adequately match them with the descriptive content of linguistic expressions; 2) Distributional semantics, which can handle descriptive content but does not associate it to individuated referents. AMORE synthesizes the two approaches into a unified, scalable model of reference that operates with individuated referents and links them to referential expressions characterized by rich descriptive content. The model is a distributed (neural network) version of a formal semantic framework that is furthermore able to integrate perceptual (visual) and linguistic information about entities. We test it extensively in referential tasks that require matching noun phrases (“the Medicine student”, “the white cat”) with entity representations extracted from text and images.
AMORE advances our scientific understanding of language and its computational modeling, and contributes to the far-reaching debate between symbolic and distributed approaches to cognition with an integrative proposal. I am in a privileged position to carry out this integration, since I have contributed top research in both distributional and formal semantics.
"
Max ERC Funding
1 499 805 €
Duration
Start date: 2017-02-01, End date: 2022-01-31
Project acronym ANALYTICAL SOCIOLOGY
Project Analytical Sociology: Theoretical Developments and Empirical Research
Researcher (PI) Mats Peter Hedström
Host Institution (HI) LINKOPINGS UNIVERSITET
Call Details Advanced Grant (AdG), SH2, ERC-2012-ADG_20120411
Summary This proposal outlines a highly ambitious and path-breaking research program. Through a tightly integrated package of basic theoretical work, strategic empirical research projects, international workshops, and a large number of publications in leading journals, the research program seeks to move sociology in a more analytical direction.
One part of the research program focuses on the epistemological and methodological foundations of analytical sociology, an approach to sociological theory and research that currently receives considerable attention in the international scholarly community. This work will be organized around two core themes: (1) the principles of mechanism-based explanations and (2) the micro-macro link.
The empirical research analyzes in great detail the ethnic, gender, and socio-economic segregation of key interaction domains in Sweden using the approach of analytical sociology. The interaction domains focused upon are schools, workplaces and neighborhoods; domains where people spend a considerable part of their time, where much of the social interaction between people takes place, where identities are formed, and where important resources are distributed.
Large-scale longitudinal micro data on the entire Swedish population, unique longitudinal data on social networks within school classes, and various agent-based simulation techniques, are used to better understand the processes through which schools, workplaces and neighborhoods become segregated along various dimensions, how the domains interact with one another, and how the structure and extent of segregation affects diverse social and economic outcomes.
Summary
This proposal outlines a highly ambitious and path-breaking research program. Through a tightly integrated package of basic theoretical work, strategic empirical research projects, international workshops, and a large number of publications in leading journals, the research program seeks to move sociology in a more analytical direction.
One part of the research program focuses on the epistemological and methodological foundations of analytical sociology, an approach to sociological theory and research that currently receives considerable attention in the international scholarly community. This work will be organized around two core themes: (1) the principles of mechanism-based explanations and (2) the micro-macro link.
The empirical research analyzes in great detail the ethnic, gender, and socio-economic segregation of key interaction domains in Sweden using the approach of analytical sociology. The interaction domains focused upon are schools, workplaces and neighborhoods; domains where people spend a considerable part of their time, where much of the social interaction between people takes place, where identities are formed, and where important resources are distributed.
Large-scale longitudinal micro data on the entire Swedish population, unique longitudinal data on social networks within school classes, and various agent-based simulation techniques, are used to better understand the processes through which schools, workplaces and neighborhoods become segregated along various dimensions, how the domains interact with one another, and how the structure and extent of segregation affects diverse social and economic outcomes.
Max ERC Funding
1 745 098 €
Duration
Start date: 2013-03-01, End date: 2018-02-28
Project acronym AncNar
Project Experience and Teleology in Ancient Narrative
Researcher (PI) Jonas Grethlein
Host Institution (HI) RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG
Call Details Starting Grant (StG), SH5, ERC-2012-StG_20111124
Summary The last two decades have seen fascinating attempts to establish new narratologies, basing narratology on cognitive science or coupling it with other approaches such as postcolonial studies. While appreciating that these attempts have raised questions beyond the limits of structuralist narratology, critics have noted that by doing so they tend to abandon narratology’s strength, that is its analytical tools. In many cases, narratology has become a label that is as empty as it is fashionable. The project as outlined here, on the other hand, develops a new approach that combines the analytical arsenal of structuralist narratology with a phenomenological take on time in order to provide new answers as to the question of narrative’s function. By exploring the tension between experience and teleology in ancient literature, it sets out to demonstrate how narrative serves as a mode of coming to grips with time. Besides offering a new narratology that cross-fertilizes the strengths of different disciplines and pioneering a new approach to ancient literature, the project will steer the current debate on experience and presence into a new direction across disciplines in the humanities.
Summary
The last two decades have seen fascinating attempts to establish new narratologies, basing narratology on cognitive science or coupling it with other approaches such as postcolonial studies. While appreciating that these attempts have raised questions beyond the limits of structuralist narratology, critics have noted that by doing so they tend to abandon narratology’s strength, that is its analytical tools. In many cases, narratology has become a label that is as empty as it is fashionable. The project as outlined here, on the other hand, develops a new approach that combines the analytical arsenal of structuralist narratology with a phenomenological take on time in order to provide new answers as to the question of narrative’s function. By exploring the tension between experience and teleology in ancient literature, it sets out to demonstrate how narrative serves as a mode of coming to grips with time. Besides offering a new narratology that cross-fertilizes the strengths of different disciplines and pioneering a new approach to ancient literature, the project will steer the current debate on experience and presence into a new direction across disciplines in the humanities.
Max ERC Funding
1 383 840 €
Duration
Start date: 2013-02-01, End date: 2018-01-31
Project acronym AnonymClassic
Project The Arabic Anonymous in a World Classic
Researcher (PI) Beatrice GRUENDLER
Host Institution (HI) FREIE UNIVERSITAET BERLIN
Call Details Advanced Grant (AdG), SH5, ERC-2016-ADG
Summary AnonymClassic is the first ever comprehensive study of Kalila and Dimna (a book of wisdom in fable form), a text of premodern world literature. Its spread is comparable to that of the Bible, except that it passed from Hinduism and Buddhism via Islam to Christianity. Its Arabic version, produced in the 8th century, when this was the lingua franca of the Near East, became the source of all further translations up to the 19th century. The work’s multilingual history involving circa forty languages has never been systematically studied. The absence of available research has made world literature ignore it, while scholars of Arabic avoided it because of its widely diverging manuscripts, so that the actual shape of the Arabic key version is still in need of investigation. AnonymClassic tests a number of ‘high-risk’ propositions, including three key hypotheses: 1) The anonymous Arabic copyists of Kalila and Dimna are de facto co-authors, 2) their agency is comparable to that of the named medieval translators, and 3) the fluctuation of the Arabic versions is conditioned by the work’s fictional status. AnonymClassic’s methodology relies on a cross-lingual narratological analysis of the Arabic versions and all medieval translations (supported by a synoptic digital edition), which takes precisely the interventions at each stage of transmission (redaction, translation) as its subject. Considering the work’s paths of dissemination from India to Europe, AnonymClassic will challenge the prevalent Western theoretical lens on world literature conceived ‘from above’ with the view ‘from below,’ based on the attested cross-cultural network constituted by its versions. AnonymClassic will introduce a new paradigm of an East-Western literary continuum with Arabic as a cultural bridge. Against the current background of Europe’s diversifying and multicultural society, AnonymClassic purposes to integrate pre-modern Near Eastern literature and culture into our understanding of Global Culture.
Summary
AnonymClassic is the first ever comprehensive study of Kalila and Dimna (a book of wisdom in fable form), a text of premodern world literature. Its spread is comparable to that of the Bible, except that it passed from Hinduism and Buddhism via Islam to Christianity. Its Arabic version, produced in the 8th century, when this was the lingua franca of the Near East, became the source of all further translations up to the 19th century. The work’s multilingual history involving circa forty languages has never been systematically studied. The absence of available research has made world literature ignore it, while scholars of Arabic avoided it because of its widely diverging manuscripts, so that the actual shape of the Arabic key version is still in need of investigation. AnonymClassic tests a number of ‘high-risk’ propositions, including three key hypotheses: 1) The anonymous Arabic copyists of Kalila and Dimna are de facto co-authors, 2) their agency is comparable to that of the named medieval translators, and 3) the fluctuation of the Arabic versions is conditioned by the work’s fictional status. AnonymClassic’s methodology relies on a cross-lingual narratological analysis of the Arabic versions and all medieval translations (supported by a synoptic digital edition), which takes precisely the interventions at each stage of transmission (redaction, translation) as its subject. Considering the work’s paths of dissemination from India to Europe, AnonymClassic will challenge the prevalent Western theoretical lens on world literature conceived ‘from above’ with the view ‘from below,’ based on the attested cross-cultural network constituted by its versions. AnonymClassic will introduce a new paradigm of an East-Western literary continuum with Arabic as a cultural bridge. Against the current background of Europe’s diversifying and multicultural society, AnonymClassic purposes to integrate pre-modern Near Eastern literature and culture into our understanding of Global Culture.
Max ERC Funding
2 435 113 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym ANTS
Project Attine ANT SymbiomeS
Researcher (PI) Jacobus Jan Boomsma
Host Institution (HI) KOBENHAVNS UNIVERSITET
Call Details Advanced Grant (AdG), LS8, ERC-2012-ADG_20120314
Summary "The attine fungus-growing ants are prime models for understanding phenotypic adaptations in social evolution and symbiosis. The mutualism has many hallmarks of advanced cooperation in its mating system commitments and functional complementarity between multiple symbiont partners, but potential conflicts between sexes and castes over reproductive priorities, and between hosts and symbionts over symbiont mixing have also been documented. With collaborators at BGI-Shenzhen and the Smithsonian Institution my group has obtained six reference genomes representing all genus-level branches of the higher attine ants and a lower attine outgroup. With collaborators in Denmark and Australia we have pioneered proteomic approaches to understand the preservation of sperm viability in spite of sperm competition and the enzymatic decomposition of plant substrates that the ants use to make their fungus gardens grow.
Here, I propose an integrated study focusing on four major areas of attine ant biology that are particularly inviting for in depth molecular approaches: 1. The protein-level networks that secure life-time (up to 20 years) sperm storage in specialized ant-queen organs and the genetic mechanisms that shape and adjust these “sexual symbiome” networks. 2. The ant-fungal symbiome, i.e. the dynamics of fungal enzyme production for plant substrate degradation and the redistribution of these enzymes in fungus gardens through fecal deposition after they are ingested but not digested by the ants. 3. The microbial symbiome of ant guts and other tissues with obligate bacterial mutualists, of which we have identified some and will characterize a wider collection across the different branches of the attine ant phylogeny. 4. The genome-wide frequency of genomic imprinting and the significance of these imprints for the expression of caste phenotypes and the regulation of potential reproductive conflicts."
Summary
"The attine fungus-growing ants are prime models for understanding phenotypic adaptations in social evolution and symbiosis. The mutualism has many hallmarks of advanced cooperation in its mating system commitments and functional complementarity between multiple symbiont partners, but potential conflicts between sexes and castes over reproductive priorities, and between hosts and symbionts over symbiont mixing have also been documented. With collaborators at BGI-Shenzhen and the Smithsonian Institution my group has obtained six reference genomes representing all genus-level branches of the higher attine ants and a lower attine outgroup. With collaborators in Denmark and Australia we have pioneered proteomic approaches to understand the preservation of sperm viability in spite of sperm competition and the enzymatic decomposition of plant substrates that the ants use to make their fungus gardens grow.
Here, I propose an integrated study focusing on four major areas of attine ant biology that are particularly inviting for in depth molecular approaches: 1. The protein-level networks that secure life-time (up to 20 years) sperm storage in specialized ant-queen organs and the genetic mechanisms that shape and adjust these “sexual symbiome” networks. 2. The ant-fungal symbiome, i.e. the dynamics of fungal enzyme production for plant substrate degradation and the redistribution of these enzymes in fungus gardens through fecal deposition after they are ingested but not digested by the ants. 3. The microbial symbiome of ant guts and other tissues with obligate bacterial mutualists, of which we have identified some and will characterize a wider collection across the different branches of the attine ant phylogeny. 4. The genome-wide frequency of genomic imprinting and the significance of these imprints for the expression of caste phenotypes and the regulation of potential reproductive conflicts."
Max ERC Funding
2 290 102 €
Duration
Start date: 2013-05-01, End date: 2018-04-30
Project acronym APGREID
Project Ancient Pathogen Genomics of Re-Emerging Infectious Disease
Researcher (PI) Johannes Krause
Host Institution (HI) MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Call Details Starting Grant (StG), LS8, ERC-2012-StG_20111109
Summary Here we propose a first step toward a direct reconstruction of the evolutionary history of human infectious disease agents by obtaining genome wide data of historic pathogens. Through an extensive screening of skeletal collections from well-characterized catastrophe, or emergency, mass burials we plan to detect and sequence pathogen DNA from various historic pandemics spanning at least 2,500 years using a general purpose molecular capture method that will screen for hundreds of pathogens in a single assay. Subsequent experiments will attempt to reconstruct full genomes from all pathogenic species identified. The molecular fossil record of human pathogens will provide insights into host adaptation and evolutionary rates of infectious disease. In addition, human genomic regions relating to disease susceptibility and immunity will be characterized in the skeletal material in order to observe the direct effect that pathogens have made on the genetic makeup of human populations over time. The results of this project will allow a multidisciplinary interpretation of historical pandemics that have influenced the course of human history. It will provide priceless information for the field of history, evolutionary biology, anthropology as well as medicine and will have direct consequences on how we manage emerging and re-emerging infectious disease in the future.
Summary
Here we propose a first step toward a direct reconstruction of the evolutionary history of human infectious disease agents by obtaining genome wide data of historic pathogens. Through an extensive screening of skeletal collections from well-characterized catastrophe, or emergency, mass burials we plan to detect and sequence pathogen DNA from various historic pandemics spanning at least 2,500 years using a general purpose molecular capture method that will screen for hundreds of pathogens in a single assay. Subsequent experiments will attempt to reconstruct full genomes from all pathogenic species identified. The molecular fossil record of human pathogens will provide insights into host adaptation and evolutionary rates of infectious disease. In addition, human genomic regions relating to disease susceptibility and immunity will be characterized in the skeletal material in order to observe the direct effect that pathogens have made on the genetic makeup of human populations over time. The results of this project will allow a multidisciplinary interpretation of historical pandemics that have influenced the course of human history. It will provide priceless information for the field of history, evolutionary biology, anthropology as well as medicine and will have direct consequences on how we manage emerging and re-emerging infectious disease in the future.
Max ERC Funding
1 474 560 €
Duration
Start date: 2013-01-01, End date: 2017-12-31
Project acronym APMPAL
Project Asset Prices and Macro Policy when Agents Learn
Researcher (PI) Albert Marcet Torrens
Host Institution (HI) FUNDACIÓ MARKETS, ORGANIZATIONS AND VOTES IN ECONOMICS
Call Details Advanced Grant (AdG), SH1, ERC-2012-ADG_20120411
Summary "A conventional assumption in dynamic models is that agents form their expectations in a very sophisticated manner. In particular, that they have Rational Expectations (RE). We develop some tools to relax this assumption while retaining fully optimal behaviour by agents. We study implications for asset pricing and macro policy.
We assume that agents have a consistent set of beliefs that is close, but not equal, to RE. Agents are ""Internally Rational"", that is, they behave rationally given their system of beliefs. Thus, it is conceptually a small deviation from RE. It provides microfoundations for models of adaptive learning, since the learning algorithm is determined by agents’ optimal behaviour. In previous work we have shown that this framework can match stock price and housing price fluctuations, and that policy implications are quite different.
In this project we intend to: i) develop further the foundations of internally rational (IR) learning, ii) apply this to explain observed asset price price behavior, such as stock prices, bond prices, inflation, commodity derivatives, and exchange rates, iii) extend the IR framework to the case when agents entertain various models, iv) optimal policy under IR learning and under private information when some hidden shocks are not revealed ex-post. Along the way we will address policy issues such as: effects of creating derivative markets, sovereign spread as a signal of sovereign default risk, tests of fiscal sustainability, fiscal policy when agents learn, monetary policy (more specifically, QE measures and interest rate policy), and the role of credibility in macro policy."
Summary
"A conventional assumption in dynamic models is that agents form their expectations in a very sophisticated manner. In particular, that they have Rational Expectations (RE). We develop some tools to relax this assumption while retaining fully optimal behaviour by agents. We study implications for asset pricing and macro policy.
We assume that agents have a consistent set of beliefs that is close, but not equal, to RE. Agents are ""Internally Rational"", that is, they behave rationally given their system of beliefs. Thus, it is conceptually a small deviation from RE. It provides microfoundations for models of adaptive learning, since the learning algorithm is determined by agents’ optimal behaviour. In previous work we have shown that this framework can match stock price and housing price fluctuations, and that policy implications are quite different.
In this project we intend to: i) develop further the foundations of internally rational (IR) learning, ii) apply this to explain observed asset price price behavior, such as stock prices, bond prices, inflation, commodity derivatives, and exchange rates, iii) extend the IR framework to the case when agents entertain various models, iv) optimal policy under IR learning and under private information when some hidden shocks are not revealed ex-post. Along the way we will address policy issues such as: effects of creating derivative markets, sovereign spread as a signal of sovereign default risk, tests of fiscal sustainability, fiscal policy when agents learn, monetary policy (more specifically, QE measures and interest rate policy), and the role of credibility in macro policy."
Max ERC Funding
1 970 260 €
Duration
Start date: 2013-06-01, End date: 2018-08-31
Project acronym ARCHOFCON
Project The Architecture of Consciousness
Researcher (PI) Timothy John Bayne
Host Institution (HI) THE UNIVERSITY OF MANCHESTER
Call Details Starting Grant (StG), SH4, ERC-2012-StG_20111124
Summary The nature of consciousness is one of the great unsolved mysteries of science. Although the global research effort dedicated to explaining how consciousness arises from neural and cognitive activity is now more than two decades old, as yet there is no widely accepted theory of consciousness. One reason for why no adequate theory of consciousness has yet been found is that there is a lack of clarity about what exactly a theory of consciousness needs to explain. What is needed is thus a model of the general features of consciousness — a model of the ‘architecture’ of consciousness — that will systematize the structural differences between conscious states, processes and creatures on the one hand and unconscious states, processes and creatures on the other. The aim of this project is to remove one of the central impediments to the progress of the science of consciousness by constructing such a model.
A great many of the data required for this task already exist, but these data concern different aspects of consciousness and are distributed across many disciplines. As a result, there have been few attempts to develop a truly comprehensive model of the architecture of consciousness. This project will overcome the limitations of previous work by drawing on research in philosophy, psychology, psychiatry, and cognitive neuroscience to develop a model of the architecture of consciousness that is structured around five of its core features: its subjectivity, its temporality, its unity, its selectivity, and its dimensionality (that is, the relationship between the levels of consciousness and the contents of consciousness). By providing a comprehensive characterization of what a theory of consciousness needs to explain, this project will provide a crucial piece of the puzzle of consciousness, enabling future generations of researchers to bridge the gap between raw data on the one hand and a full-blown theory of consciousness on the other
Summary
The nature of consciousness is one of the great unsolved mysteries of science. Although the global research effort dedicated to explaining how consciousness arises from neural and cognitive activity is now more than two decades old, as yet there is no widely accepted theory of consciousness. One reason for why no adequate theory of consciousness has yet been found is that there is a lack of clarity about what exactly a theory of consciousness needs to explain. What is needed is thus a model of the general features of consciousness — a model of the ‘architecture’ of consciousness — that will systematize the structural differences between conscious states, processes and creatures on the one hand and unconscious states, processes and creatures on the other. The aim of this project is to remove one of the central impediments to the progress of the science of consciousness by constructing such a model.
A great many of the data required for this task already exist, but these data concern different aspects of consciousness and are distributed across many disciplines. As a result, there have been few attempts to develop a truly comprehensive model of the architecture of consciousness. This project will overcome the limitations of previous work by drawing on research in philosophy, psychology, psychiatry, and cognitive neuroscience to develop a model of the architecture of consciousness that is structured around five of its core features: its subjectivity, its temporality, its unity, its selectivity, and its dimensionality (that is, the relationship between the levels of consciousness and the contents of consciousness). By providing a comprehensive characterization of what a theory of consciousness needs to explain, this project will provide a crucial piece of the puzzle of consciousness, enabling future generations of researchers to bridge the gap between raw data on the one hand and a full-blown theory of consciousness on the other
Max ERC Funding
1 477 483 €
Duration
Start date: 2013-03-01, End date: 2018-02-28
Project acronym ARCTIC CULT
Project ARCTIC CULTURES: SITES OF COLLECTION IN THE FORMATION OF THE EUROPEAN AND AMERICAN NORTHLANDS
Researcher (PI) Richard Charles POWELL
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Call Details Consolidator Grant (CoG), SH5, ERC-2016-COG
Summary The Arctic has risen to global attention in recent years, as it has been reconfigured through debates about global environmental change, resource extraction and disputes over sovereign rights. Within these discourses, little attention has been paid to the cultures of the Arctic. Indeed, it often seems as if the Circumpolar Arctic in global public understanding remains framed as a 'natural region' - that is, a place where the environment dominates the creation of culture. This framing has consequences for the region, because through this the Arctic becomes constructed as a space where people are absent. This proposal aims to discover how and why this might be so.
The proposal argues that this construction of the Arctic emerged from the exploration of the region by Europeans and North Americans and their contacts with indigenous people from the middle of the eighteenth century. Particular texts, cartographic representations and objects were collected and returned to sites like London, Copenhagen, Berlin and Philadelphia. The construction of the Arctic thereby became entwined within the growth of colonial museum cultures and, indeed, western modernity. This project aims to delineate the networks and collecting cultures involved in this creation of Arctic Cultures. It will bring repositories in colonial metropoles into dialogue with sites of collection in the Arctic by tracing the contexts of discovery and memorialisation. In doing so, it aspires to a new understanding of the consequences of certain forms of colonial representation for debates about the Circumpolar Arctic today.
The project involves research by the Principal Investigator and four Post Doctoral Researchers at museums, archives, libraries and repositories across Europe and North America, as well as in Greenland and the Canadian Arctic. A Project Assistant based in Oxford will help facilitate the completion of the research.
Summary
The Arctic has risen to global attention in recent years, as it has been reconfigured through debates about global environmental change, resource extraction and disputes over sovereign rights. Within these discourses, little attention has been paid to the cultures of the Arctic. Indeed, it often seems as if the Circumpolar Arctic in global public understanding remains framed as a 'natural region' - that is, a place where the environment dominates the creation of culture. This framing has consequences for the region, because through this the Arctic becomes constructed as a space where people are absent. This proposal aims to discover how and why this might be so.
The proposal argues that this construction of the Arctic emerged from the exploration of the region by Europeans and North Americans and their contacts with indigenous people from the middle of the eighteenth century. Particular texts, cartographic representations and objects were collected and returned to sites like London, Copenhagen, Berlin and Philadelphia. The construction of the Arctic thereby became entwined within the growth of colonial museum cultures and, indeed, western modernity. This project aims to delineate the networks and collecting cultures involved in this creation of Arctic Cultures. It will bring repositories in colonial metropoles into dialogue with sites of collection in the Arctic by tracing the contexts of discovery and memorialisation. In doing so, it aspires to a new understanding of the consequences of certain forms of colonial representation for debates about the Circumpolar Arctic today.
The project involves research by the Principal Investigator and four Post Doctoral Researchers at museums, archives, libraries and repositories across Europe and North America, as well as in Greenland and the Canadian Arctic. A Project Assistant based in Oxford will help facilitate the completion of the research.
Max ERC Funding
1 996 250 €
Duration
Start date: 2017-10-01, End date: 2022-09-30
Project acronym ARSEM
Project LANGUAGE–PHILOLOGY–CULTURE: Arab Cultural Semantics in Transition
Researcher (PI) Kirill Dmitriev
Host Institution (HI) THE UNIVERSITY COURT OF THE UNIVERSITY OF ST ANDREWS
Call Details Starting Grant (StG), SH5, ERC-2012-StG_20111124
Summary This project aims to study:
• the semantic development of the vocabulary of the Arabic language,
• philological discourses on the semantic changes in the language in the classical Arabic philological tradition (8th-10th centuries A.D.), and
• the impact of Arabic philology in the wider historical and cultural context of the Judaeo-Arab neo-classical heritage (12th-13th centuries A.D.) and Christian-Arab intellectual history on the eve of modernity (19th century A.D.).
The project will explore the universal cultural significance and the pivotal role of language consciousness in the history of Arab culture. It will introduce a new dimension into the existing research on the Arabic language and Arabic philology, which until now have been studied without any comprehensive cultural and social contextualisation. The project will focus on the process of the transmission of Arabic poetry, which provides detailed evidence of the development of Arabic philological thought and its universal significance for the theological, philosophical, historical and linguistic discourses of Arab intellectual history. This project will document the transmission of early Arabic poetry and analyse its vocabulary in a systematic way for the first time. For this purpose it will create an Analytical Database of Arabic Poetry. This publicly accessible database will represent a ground-breaking contribution to European research on the Arabic language and the Arabic philological heritage, which so far lacks even such fundamental tools as an etymological dictionary of the Arabic language or a complete dictionary of Classical Arabic. The database will implement comprehensive analytical tools and will serve as a reference work for wider research on Arabic literature, history and culture. Thus, the project will create an integrative research platform for the history and semantics of the Arabic language—a subject indispensable for understanding the foundations of Arab culture past and present.
Summary
This project aims to study:
• the semantic development of the vocabulary of the Arabic language,
• philological discourses on the semantic changes in the language in the classical Arabic philological tradition (8th-10th centuries A.D.), and
• the impact of Arabic philology in the wider historical and cultural context of the Judaeo-Arab neo-classical heritage (12th-13th centuries A.D.) and Christian-Arab intellectual history on the eve of modernity (19th century A.D.).
The project will explore the universal cultural significance and the pivotal role of language consciousness in the history of Arab culture. It will introduce a new dimension into the existing research on the Arabic language and Arabic philology, which until now have been studied without any comprehensive cultural and social contextualisation. The project will focus on the process of the transmission of Arabic poetry, which provides detailed evidence of the development of Arabic philological thought and its universal significance for the theological, philosophical, historical and linguistic discourses of Arab intellectual history. This project will document the transmission of early Arabic poetry and analyse its vocabulary in a systematic way for the first time. For this purpose it will create an Analytical Database of Arabic Poetry. This publicly accessible database will represent a ground-breaking contribution to European research on the Arabic language and the Arabic philological heritage, which so far lacks even such fundamental tools as an etymological dictionary of the Arabic language or a complete dictionary of Classical Arabic. The database will implement comprehensive analytical tools and will serve as a reference work for wider research on Arabic literature, history and culture. Thus, the project will create an integrative research platform for the history and semantics of the Arabic language—a subject indispensable for understanding the foundations of Arab culture past and present.
Max ERC Funding
1 499 507 €
Duration
Start date: 2013-02-01, End date: 2019-01-31
Project acronym ARTEFACT
Project The Global as Artefact: Understanding the Patterns of Global Political History Through an Anthropology of Knowledge -- The Case of Agriculture in Four Global Systems from the Neolithic to the Present
Researcher (PI) INANNA HAMATI-ATAYA
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Call Details Consolidator Grant (CoG), SH2, ERC-2016-COG
Summary Knowledge is an anthropological constant that is indissociable from the birth and interactions of human societies, but is at best a secondary concern for scholars of international relations and globalization. Contemporary global studies are thus unable to account for the co-constitution of knowledge and politics at a macro-scale, and remain especially blind to the historical patterns of epistemic development that operate at the level of the species as a whole and have shaped its global political history in specific, path-dependent ways up to now.
ARTEFACT is the first project to pursue a knowledge-centered investigation of global politics. It is uniquely grounded in an anthropological approach that treats globalization and human knowledges beyond their modern manifestations, from the longue-durée perspective of our species’ social history. 'The global as artefact' is more than a metaphor. It reflects the premise that human collectives 'make' the political world not merely through ideas, language, or norms, but primordially through the material infrastructures, solutions, objects, practices, and skills they develop in response to evolving structural challenges.
ARTEFACT takes agriculture as an exemplary and especially timely case-study to illuminate the entangled global histories of knowledge and politics, analyzing and comparing four increasingly inclusive 'global political systems' of the Ancient, Medieval, Modern, and Contemporary eras and their associated agrarian socio-epistemic revolutions.
ARTEFACT ultimately aims to 1) develop an original theory of the global, 2) launch Global Knowledge Studies as a new cross-disciplinary domain of systematic empirical and theoretical study, and 3) push the respective boundaries of the anthropology of knowledge, global history, and international theory beyond the state-of-the-art and toward a holistic understanding that can illuminate how past trends of socio-epistemic evolution might shape future paths of global life.
Summary
Knowledge is an anthropological constant that is indissociable from the birth and interactions of human societies, but is at best a secondary concern for scholars of international relations and globalization. Contemporary global studies are thus unable to account for the co-constitution of knowledge and politics at a macro-scale, and remain especially blind to the historical patterns of epistemic development that operate at the level of the species as a whole and have shaped its global political history in specific, path-dependent ways up to now.
ARTEFACT is the first project to pursue a knowledge-centered investigation of global politics. It is uniquely grounded in an anthropological approach that treats globalization and human knowledges beyond their modern manifestations, from the longue-durée perspective of our species’ social history. 'The global as artefact' is more than a metaphor. It reflects the premise that human collectives 'make' the political world not merely through ideas, language, or norms, but primordially through the material infrastructures, solutions, objects, practices, and skills they develop in response to evolving structural challenges.
ARTEFACT takes agriculture as an exemplary and especially timely case-study to illuminate the entangled global histories of knowledge and politics, analyzing and comparing four increasingly inclusive 'global political systems' of the Ancient, Medieval, Modern, and Contemporary eras and their associated agrarian socio-epistemic revolutions.
ARTEFACT ultimately aims to 1) develop an original theory of the global, 2) launch Global Knowledge Studies as a new cross-disciplinary domain of systematic empirical and theoretical study, and 3) push the respective boundaries of the anthropology of knowledge, global history, and international theory beyond the state-of-the-art and toward a holistic understanding that can illuminate how past trends of socio-epistemic evolution might shape future paths of global life.
Max ERC Funding
1 428 165 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym ASSHURED
Project Analysing South-South Humanitarian Responses to Displacement from Syria: Views from Lebanon, Jordan and Turkey
Researcher (PI) Elena FIDDIAN-QASMIYEH
Host Institution (HI) UNIVERSITY COLLEGE LONDON
Call Details Starting Grant (StG), SH3, ERC-2016-STG
Summary Since 2012, over 4 million people have fled Syria in ‘the most dramatic humanitarian crisis that we have ever faced’ (UNHCR). By November 2015 there were 1,078,338 refugees from Syria in Lebanon, 630,776 in Jordan and 2,181,293 in Turkey. Humanitarian agencies and donor states from both the global North and the global South have funded and implemented aid programmes, and yet commentators have argued that civil society groups from the global South are the most significant actors supporting refugees in Lebanon, Jordan and Turkey. Whilst they are highly significant responses, however, major gaps in knowledge remain regarding the motivations, nature and implications of Southern-led responses to conflict-induced displacement. This project draws on multi-sited ethnographic and participatory research with refugees from Syria and their aid providers in Lebanon, Jordan and Turkey to critically examine why, how and with what effect actors from the South have responded to the displacement of refugees from Syria. The main research aims are:
1. identifying diverse models of Southern-led responses to conflict-induced displacement,
2. examining the (un)official motivations, nature and implications of Southern-led responses,
3. examining refugees’ experiences and perceptions of Southern-led responses,
4. exploring diverse Southern and Northern actors’ perceptions of Southern-led responses,
5. tracing the implications of Southern-led initiatives for humanitarian theory and practice.
Based on a critical theoretical framework inspired by post-colonial and feminist approaches, the project contributes to theories of humanitarianism and debates regarding donor-recipient relations and refugees’ agency in displacement situations. It will also inform the development of policies to most appropriately address refugees’ needs and rights. This highly topical and innovative project thus has far-reaching implications for refugees and local communities, academics, policy-makers and practitioners.
Summary
Since 2012, over 4 million people have fled Syria in ‘the most dramatic humanitarian crisis that we have ever faced’ (UNHCR). By November 2015 there were 1,078,338 refugees from Syria in Lebanon, 630,776 in Jordan and 2,181,293 in Turkey. Humanitarian agencies and donor states from both the global North and the global South have funded and implemented aid programmes, and yet commentators have argued that civil society groups from the global South are the most significant actors supporting refugees in Lebanon, Jordan and Turkey. Whilst they are highly significant responses, however, major gaps in knowledge remain regarding the motivations, nature and implications of Southern-led responses to conflict-induced displacement. This project draws on multi-sited ethnographic and participatory research with refugees from Syria and their aid providers in Lebanon, Jordan and Turkey to critically examine why, how and with what effect actors from the South have responded to the displacement of refugees from Syria. The main research aims are:
1. identifying diverse models of Southern-led responses to conflict-induced displacement,
2. examining the (un)official motivations, nature and implications of Southern-led responses,
3. examining refugees’ experiences and perceptions of Southern-led responses,
4. exploring diverse Southern and Northern actors’ perceptions of Southern-led responses,
5. tracing the implications of Southern-led initiatives for humanitarian theory and practice.
Based on a critical theoretical framework inspired by post-colonial and feminist approaches, the project contributes to theories of humanitarianism and debates regarding donor-recipient relations and refugees’ agency in displacement situations. It will also inform the development of policies to most appropriately address refugees’ needs and rights. This highly topical and innovative project thus has far-reaching implications for refugees and local communities, academics, policy-makers and practitioners.
Max ERC Funding
1 498 069 €
Duration
Start date: 2017-07-01, End date: 2022-06-30
Project acronym AUTHORITARIANGLOBAL
Project Authoritarianism in a Global Age: Controlling Information and Communication, Association and People Movement
Researcher (PI) Marlies Glasius
Host Institution (HI) UNIVERSITEIT VAN AMSTERDAM
Call Details Advanced Grant (AdG), SH2, ERC-2012-ADG_20120411
Summary The overarching research question of this project is: how is authoritarian rule affected by and responding to globalisation of (a) information and communication, (b) association, and (c) people movement? The wholly unpredicted series of revolts that recently spread across the Arab world suggests that the nature and sustainability of contemporary authoritarian rule are not well-understood. Openness to global ICT and media, international NGOs, and inflow and outflow of people have thrown up new challenges for authoritarian rulers in terms of how to control citizens. This project investigates changes in both the nature and the sustainability of authoritarian rule in relation to the erosion of decision-making autonomy at the state level posited by globalisation theorists.
In four sub-projects, this project will investigate:
1. Whether, how and to what extent globalisation of information and communication, association, and people movement affect authoritarian persistence (longitudinal quantitative study, 1970-2011)
2. How, i.e. with what policy mechanisms, authoritarian states respond to globalisation of information and communication, association, and people movement (qualitative multi-sited studies relating to Belarus, China, Iran and Zimbabwe)
3. How to understand the phenomenon of subnational authoritarianism in its engagement with the democratic state and the wider world in relation to information and communication, association, and people movement (mixed method subnational studies of states within India and Mexico)
4. What authoritarianism is in a global age: reconsidering authoritarianism’s defining characteristics of low accountability and high coercion, and whether these still relate exclusively to statehood (theory study)
The project will transcend the theoretical and empirical separation between globalisation studies (which have neglected authoritarian contexts) and authoritarianism studies(which have taken relatively little notice of effects of globalisation)
Summary
The overarching research question of this project is: how is authoritarian rule affected by and responding to globalisation of (a) information and communication, (b) association, and (c) people movement? The wholly unpredicted series of revolts that recently spread across the Arab world suggests that the nature and sustainability of contemporary authoritarian rule are not well-understood. Openness to global ICT and media, international NGOs, and inflow and outflow of people have thrown up new challenges for authoritarian rulers in terms of how to control citizens. This project investigates changes in both the nature and the sustainability of authoritarian rule in relation to the erosion of decision-making autonomy at the state level posited by globalisation theorists.
In four sub-projects, this project will investigate:
1. Whether, how and to what extent globalisation of information and communication, association, and people movement affect authoritarian persistence (longitudinal quantitative study, 1970-2011)
2. How, i.e. with what policy mechanisms, authoritarian states respond to globalisation of information and communication, association, and people movement (qualitative multi-sited studies relating to Belarus, China, Iran and Zimbabwe)
3. How to understand the phenomenon of subnational authoritarianism in its engagement with the democratic state and the wider world in relation to information and communication, association, and people movement (mixed method subnational studies of states within India and Mexico)
4. What authoritarianism is in a global age: reconsidering authoritarianism’s defining characteristics of low accountability and high coercion, and whether these still relate exclusively to statehood (theory study)
The project will transcend the theoretical and empirical separation between globalisation studies (which have neglected authoritarian contexts) and authoritarianism studies(which have taken relatively little notice of effects of globalisation)
Max ERC Funding
2 451 179 €
Duration
Start date: 2013-10-01, End date: 2019-02-28
Project acronym AveTransRisk
Project Average - Transaction Costs and Risk Management during the First Globalization (Sixteenth-Eighteenth Centuries)
Researcher (PI) Maria FUSARO
Host Institution (HI) THE UNIVERSITY OF EXETER
Call Details Consolidator Grant (CoG), SH6, ERC-2016-COG
Summary This project focuses on the historical analysis of institutions and their impact on economic development through the investigation of a legal instrument – general average (GA) – which underpins maritime trade by redistributing damages’ costs across all interested parties. This will be pursued through the comparative investigation of GA in those European countries where substantial data exists: Italy, Spain, England, France and the Low Countries (1500-1800). Average and insurance were both created in the Middle Ages to facilitate trade through the redistribution of risk. Insurance has been widely studied, average – the expenses which can befall ships and cargoes from the time of their loading aboard until their unloading (due to accidents, jettison, and unexpected costs) – has been neglected. GA still plays an essential role in the redistribution of transaction costs, and being a form of strictly mutual self-protection, never evolved into a speculative financial instrument as insurance did; it therefore represents an excellent case of long-term effectiveness of a non-market economic phenomenon. Although the principle behind GA was very similar across Europe, in practice there were substantial differences in declaring and adjudicating claims. GA reports provide unparalleled evidence on maritime trade which, analysed quantitatively and quantitatively through a novel interdisciplinary approach, will contribute to the reassessment of the role played by the maritime sector in fostering economic growth during the early modern first globalization, when GA was the object of fierce debates on state jurisdiction and standardization of practice. Today they are regulated by the York-Antwerp Rules (YAR), currently under revision. This timely conjuncture provides plenty of opportunities for active engagement with practitioners, thereby fostering a creative dialogue on GA historical study and its future development to better face the challenges of mature globalization.
Summary
This project focuses on the historical analysis of institutions and their impact on economic development through the investigation of a legal instrument – general average (GA) – which underpins maritime trade by redistributing damages’ costs across all interested parties. This will be pursued through the comparative investigation of GA in those European countries where substantial data exists: Italy, Spain, England, France and the Low Countries (1500-1800). Average and insurance were both created in the Middle Ages to facilitate trade through the redistribution of risk. Insurance has been widely studied, average – the expenses which can befall ships and cargoes from the time of their loading aboard until their unloading (due to accidents, jettison, and unexpected costs) – has been neglected. GA still plays an essential role in the redistribution of transaction costs, and being a form of strictly mutual self-protection, never evolved into a speculative financial instrument as insurance did; it therefore represents an excellent case of long-term effectiveness of a non-market economic phenomenon. Although the principle behind GA was very similar across Europe, in practice there were substantial differences in declaring and adjudicating claims. GA reports provide unparalleled evidence on maritime trade which, analysed quantitatively and quantitatively through a novel interdisciplinary approach, will contribute to the reassessment of the role played by the maritime sector in fostering economic growth during the early modern first globalization, when GA was the object of fierce debates on state jurisdiction and standardization of practice. Today they are regulated by the York-Antwerp Rules (YAR), currently under revision. This timely conjuncture provides plenty of opportunities for active engagement with practitioners, thereby fostering a creative dialogue on GA historical study and its future development to better face the challenges of mature globalization.
Max ERC Funding
1 854 256 €
Duration
Start date: 2017-07-01, End date: 2022-06-30
Project acronym BabMed
Project Fragments of cuneiform medicine in the Babylonian Talmud: Knowledge Transfer in Late Antiquity
Researcher (PI) Markham Judah Geller
Host Institution (HI) FREIE UNIVERSITAET BERLIN
Call Details Advanced Grant (AdG), SH5, ERC-2012-ADG_20120411
Summary BabMed represents the first ever comprehensive study of ancient Babylonian medical science since the decipherment of cuneiform, comprising the largest ancient collection of medical data before Hippocrates. The latest phase of Babylonian medicine, as preserved in Aramaic in the Babylonian Talmud, has never been systematically studied in the light of older cuneiform materials. The absence of accessible cuneiform medical literature has forced recent medical histories to bypass Babylonian medicine, while Aramaic medicine in the Babylonian Talmud has simply been ignored. BabMed tests a number of 'high risk' propositions, including two key hypotheses: 1) cuneiform survived much longer than previously suspected, and 2) Aramaic medicine in the Babylonian Talmud mostly derives from Akkadian medicine. BabMed's methodology relies upon native taxonomies rather than modern biomedical disease classifications, countering flawed retrospective diagnoses that obviate the entire history of medicine. Comparisons with neighbouring medical systems challenge the prevalent Eurocentricity of current histories, in which Greek medicine has become the standard for all ancient medicine. BabMed will introduce a new paradigm for knowledge transfer which will recognise the barriers between ancient arts of medicine and how they were overcome in antiquity. One such barrier was script and language, and BabMed proposes that Babylonian medicine survived the death of cuneiform script and was preserved in part in the local Aramaic of the Babylonian Talmud, a unique text which straddles the borders of Greco-Roman Palestine and Persian Babylonia and mirrors the scientific thinking of both worlds.
Summary
BabMed represents the first ever comprehensive study of ancient Babylonian medical science since the decipherment of cuneiform, comprising the largest ancient collection of medical data before Hippocrates. The latest phase of Babylonian medicine, as preserved in Aramaic in the Babylonian Talmud, has never been systematically studied in the light of older cuneiform materials. The absence of accessible cuneiform medical literature has forced recent medical histories to bypass Babylonian medicine, while Aramaic medicine in the Babylonian Talmud has simply been ignored. BabMed tests a number of 'high risk' propositions, including two key hypotheses: 1) cuneiform survived much longer than previously suspected, and 2) Aramaic medicine in the Babylonian Talmud mostly derives from Akkadian medicine. BabMed's methodology relies upon native taxonomies rather than modern biomedical disease classifications, countering flawed retrospective diagnoses that obviate the entire history of medicine. Comparisons with neighbouring medical systems challenge the prevalent Eurocentricity of current histories, in which Greek medicine has become the standard for all ancient medicine. BabMed will introduce a new paradigm for knowledge transfer which will recognise the barriers between ancient arts of medicine and how they were overcome in antiquity. One such barrier was script and language, and BabMed proposes that Babylonian medicine survived the death of cuneiform script and was preserved in part in the local Aramaic of the Babylonian Talmud, a unique text which straddles the borders of Greco-Roman Palestine and Persian Babylonia and mirrors the scientific thinking of both worlds.
Max ERC Funding
2 233 747 €
Duration
Start date: 2013-07-01, End date: 2018-06-30
Project acronym BabyVir
Project The role of the virome in shaping the gut ecosystem during the first year of life
Researcher (PI) Alexandra Petrovna ZHERNAKOVA
Host Institution (HI) ACADEMISCH ZIEKENHUIS GRONINGEN
Call Details Starting Grant (StG), LS8, ERC-2016-STG
Summary The role of intestinal bacteria in human health and disease has been intensively studied; however the viral composition of the microbiome, the virome, remains largely unknown. As many of the viruses are bacteriophages, they are expected to be a major factor shaping the human microbiome. The dynamics of the virome during early life, its interaction with host and environmental factors, is likely to have profound effects on human physiology. Therefore it is extremely timely to study the virome in depth and on a wide scale.
This ERC project aims at understanding how the gut virome develops during the first year of life and how that relates to the composition of the bacterial microbiome. In particular, we will determine which intrinsic and environmental factors, including genetics and the mother’s microbiome and diet, interact with the virome in shaping the early gut microbiome ecosystem. In a longitudinal study of 1,000 newborns followed at 7 time points from birth till age 12 months, I will investigate: (1) the composition and evolution of the virome and bacterial microbiome in the first year of life; (2) the role of factors coming from the mother and from the host genome on virome and bacterial microbiome development and their co-evolution; and (3) the role of environmental factors, like infectious diseases, vaccinations and diet habits, on establishing the virome and overall microbiome composition during the first year of life.
This project will provide crucial knowledge about composition and maturation of the virome during the first year of life, and its symbiotic relation with the bacterial microbiome. This longitudinal dataset will be instrumental for identification of microbiome markers of diseases and for the follow up analysis of the long-term effect of microbiota maturation later in life. Knowledge of the role of viruses in shaping the microbiota may promote future directions for manipulating the human gut microbiota in health and disease.
Summary
The role of intestinal bacteria in human health and disease has been intensively studied; however the viral composition of the microbiome, the virome, remains largely unknown. As many of the viruses are bacteriophages, they are expected to be a major factor shaping the human microbiome. The dynamics of the virome during early life, its interaction with host and environmental factors, is likely to have profound effects on human physiology. Therefore it is extremely timely to study the virome in depth and on a wide scale.
This ERC project aims at understanding how the gut virome develops during the first year of life and how that relates to the composition of the bacterial microbiome. In particular, we will determine which intrinsic and environmental factors, including genetics and the mother’s microbiome and diet, interact with the virome in shaping the early gut microbiome ecosystem. In a longitudinal study of 1,000 newborns followed at 7 time points from birth till age 12 months, I will investigate: (1) the composition and evolution of the virome and bacterial microbiome in the first year of life; (2) the role of factors coming from the mother and from the host genome on virome and bacterial microbiome development and their co-evolution; and (3) the role of environmental factors, like infectious diseases, vaccinations and diet habits, on establishing the virome and overall microbiome composition during the first year of life.
This project will provide crucial knowledge about composition and maturation of the virome during the first year of life, and its symbiotic relation with the bacterial microbiome. This longitudinal dataset will be instrumental for identification of microbiome markers of diseases and for the follow up analysis of the long-term effect of microbiota maturation later in life. Knowledge of the role of viruses in shaping the microbiota may promote future directions for manipulating the human gut microbiota in health and disease.
Max ERC Funding
1 499 881 €
Duration
Start date: 2017-04-01, End date: 2022-03-31
Project acronym BALDWINIAN_BEETLES
Project "The origin of the fittest: canalization, plasticity and selection as a consequence of provisioning during development"
Researcher (PI) Rebecca Kilner
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Call Details Starting Grant (StG), LS8, ERC-2012-StG_20111109
Summary "A major outstanding challenge for evolutionary biology is to explain how novel adaptations arise. We propose to test whether developmental plasticity initiates evolutionary change in morphological, behavioural and social traits, using laboratory experiments, fieldwork and comparative analyses.
Using burying beetles Nicrophorus spp as our model experimental system, we shall:
1) Test whether variation in parental provisioning during development induces correlated phenotypic change in adult body size and a suite of life history traits; whether these phenotypic changes can be genetically accommodated under experimental evolution (the Baldwin Effect); and whether changes induced by experimental evolution mimic natural variation in adult body size and life history strategy among Nicrophorus species;
2) Test whether parental provisioning has a canalizing effect on the developmental environment, potentially storing up cryptic genetic variation which might then be released as random new phenotypes, if offspring are exposed to a new developmental environment;
3) Investigate whether developmental trade-offs, induced by under-provisioning from parents, provide the first step towards the evolution of a novel interspecific mutualism. Is a second species recruited in adulthood to carry out the function of a structure that was under-nourished during development?
4) Using comparative analyses of data from the literature on insects, frogs, birds and mammals, we shall test whether the evolution of parental provisioning in a given lineage is positively correlated with the number of species in the lineage.
Our proposal is original in focusing on developmental plasticity induced by variation in parental provisioning. Given the diverse and numerous species that provision their young, including several whose genomes have now been sequenced, this potentially opens up a rich new area for future work on the developmental mechanisms underlying evolutionary innovations."
Summary
"A major outstanding challenge for evolutionary biology is to explain how novel adaptations arise. We propose to test whether developmental plasticity initiates evolutionary change in morphological, behavioural and social traits, using laboratory experiments, fieldwork and comparative analyses.
Using burying beetles Nicrophorus spp as our model experimental system, we shall:
1) Test whether variation in parental provisioning during development induces correlated phenotypic change in adult body size and a suite of life history traits; whether these phenotypic changes can be genetically accommodated under experimental evolution (the Baldwin Effect); and whether changes induced by experimental evolution mimic natural variation in adult body size and life history strategy among Nicrophorus species;
2) Test whether parental provisioning has a canalizing effect on the developmental environment, potentially storing up cryptic genetic variation which might then be released as random new phenotypes, if offspring are exposed to a new developmental environment;
3) Investigate whether developmental trade-offs, induced by under-provisioning from parents, provide the first step towards the evolution of a novel interspecific mutualism. Is a second species recruited in adulthood to carry out the function of a structure that was under-nourished during development?
4) Using comparative analyses of data from the literature on insects, frogs, birds and mammals, we shall test whether the evolution of parental provisioning in a given lineage is positively correlated with the number of species in the lineage.
Our proposal is original in focusing on developmental plasticity induced by variation in parental provisioning. Given the diverse and numerous species that provision their young, including several whose genomes have now been sequenced, this potentially opens up a rich new area for future work on the developmental mechanisms underlying evolutionary innovations."
Max ERC Funding
1 499 914 €
Duration
Start date: 2012-11-01, End date: 2017-10-31
Project acronym BAM
Project Becoming A Minority
Researcher (PI) Maurice CRUL
Host Institution (HI) STICHTING VU
Call Details Advanced Grant (AdG), SH3, ERC-2016-ADG
Summary In the last forty years, researchers in the Field of Migration and Ethnic Studies looked at the integration of migrants and their descendants. Concepts, methodological tools and theoretical frameworks have been developed to measure and predict integration outcomes both across different ethnic groups and in comparison with people of native descent. But are we also looking into the actual integration of the receiving group of native ‘white’ descent in city contexts where they have become a numerical minority themselves? In cities like Amsterdam, now only one in three youngsters under age fifteen is of native descent. This situation, referred to as a majority-minority context, is a new phenomenon in Western Europe and it presents itself as one of the most important societal and psychological transformations of our time. I argue that the field of migration and ethnic studies is stagnating because of the one-sided focus on migrants and their children. This is even more urgent given the increased ant-immigrant vote. These pressing scientific and societal reasons pushed me to develop the project BAM (Becoming A Minority). The project will be executed in three harbor cities, Rotterdam, Antwerp and Malmö, and three service sector cities, Amsterdam, Frankfurt and Vienna. BAM consists of 5 subprojects: (1) A meta-analysis of secondary data on people of native ‘white’ descent in the six research sites; (2) A newly developed survey for the target group; (3) An analysis of critical circumstances of encounter that trigger either positive or rather negative responses to increased ethnic diversity (4) Experimental diversity labs to test under which circumstances people will change their attitudes or their actions towards increased ethnic diversity; (5) The formulation of a new theory of integration that includes the changed position of the group of native ‘white’ descent as an important actor.
Summary
In the last forty years, researchers in the Field of Migration and Ethnic Studies looked at the integration of migrants and their descendants. Concepts, methodological tools and theoretical frameworks have been developed to measure and predict integration outcomes both across different ethnic groups and in comparison with people of native descent. But are we also looking into the actual integration of the receiving group of native ‘white’ descent in city contexts where they have become a numerical minority themselves? In cities like Amsterdam, now only one in three youngsters under age fifteen is of native descent. This situation, referred to as a majority-minority context, is a new phenomenon in Western Europe and it presents itself as one of the most important societal and psychological transformations of our time. I argue that the field of migration and ethnic studies is stagnating because of the one-sided focus on migrants and their children. This is even more urgent given the increased ant-immigrant vote. These pressing scientific and societal reasons pushed me to develop the project BAM (Becoming A Minority). The project will be executed in three harbor cities, Rotterdam, Antwerp and Malmö, and three service sector cities, Amsterdam, Frankfurt and Vienna. BAM consists of 5 subprojects: (1) A meta-analysis of secondary data on people of native ‘white’ descent in the six research sites; (2) A newly developed survey for the target group; (3) An analysis of critical circumstances of encounter that trigger either positive or rather negative responses to increased ethnic diversity (4) Experimental diversity labs to test under which circumstances people will change their attitudes or their actions towards increased ethnic diversity; (5) The formulation of a new theory of integration that includes the changed position of the group of native ‘white’ descent as an important actor.
Max ERC Funding
2 499 714 €
Duration
Start date: 2017-11-01, End date: 2022-10-31
Project acronym BantuFirst
Project The First Bantu Speakers South of the Rainforest: A Cross-Disciplinary Approach to Human Migration, Language Spread, Climate Change and Early Farming in Late Holocene Central Africa
Researcher (PI) Koen André G. BOSTOEN
Host Institution (HI) UNIVERSITEIT GENT
Call Details Consolidator Grant (CoG), SH6, ERC-2016-COG
Summary The Bantu Expansion is not only the main linguistic, cultural and demographic process in Late Holocene Africa. It is also one of the most controversial issues in African History that still has political repercussions today. It has sparked debate across the disciplines and far beyond Africanist circles in an attempt to understand how the young Bantu language family (ca. 5000 years) could spread over large parts of Central, Eastern and Southern Africa. This massive dispersal is commonly seen as the result of a single migratory macro-event driven by agriculture, but many questions about the movement and subsistence of ancestral Bantu speakers are still open. They can only be answered through real interdisciplinary collaboration. This project will unite researchers with outstanding expertise in African archaeology, archaeobotany and historical linguistics to form a unique cross-disciplinary team that will shed new light on the first Bantu-speaking village communities south of the rainforest. Fieldwork is planned in parts of the Democratic Republic of Congo, the Republic of Congo and Angola that are terra incognita for archaeologists to determine the timing, location and archaeological signature of the earliest villagers and to establish how they interacted with autochthonous hunter-gatherers. Special attention will be paid to archaeobotanical and palaeoenvironmental data to get an idea of their subsistence, diet and habitat. Historical linguistics will be pushed beyond the boundaries of vocabulary-based phylogenetics and open new pathways in lexical reconstruction, especially regarding subsistence and land use of early Bantu speakers. Through interuniversity collaboration archaeozoological, palaeoenvironmental and genetic data and phylogenetic modelling will be brought into the cross-disciplinary approach to acquire a new holistic view on the interconnections between human migration, language spread, climate change and early farming in Late Holocene Central Africa.
Summary
The Bantu Expansion is not only the main linguistic, cultural and demographic process in Late Holocene Africa. It is also one of the most controversial issues in African History that still has political repercussions today. It has sparked debate across the disciplines and far beyond Africanist circles in an attempt to understand how the young Bantu language family (ca. 5000 years) could spread over large parts of Central, Eastern and Southern Africa. This massive dispersal is commonly seen as the result of a single migratory macro-event driven by agriculture, but many questions about the movement and subsistence of ancestral Bantu speakers are still open. They can only be answered through real interdisciplinary collaboration. This project will unite researchers with outstanding expertise in African archaeology, archaeobotany and historical linguistics to form a unique cross-disciplinary team that will shed new light on the first Bantu-speaking village communities south of the rainforest. Fieldwork is planned in parts of the Democratic Republic of Congo, the Republic of Congo and Angola that are terra incognita for archaeologists to determine the timing, location and archaeological signature of the earliest villagers and to establish how they interacted with autochthonous hunter-gatherers. Special attention will be paid to archaeobotanical and palaeoenvironmental data to get an idea of their subsistence, diet and habitat. Historical linguistics will be pushed beyond the boundaries of vocabulary-based phylogenetics and open new pathways in lexical reconstruction, especially regarding subsistence and land use of early Bantu speakers. Through interuniversity collaboration archaeozoological, palaeoenvironmental and genetic data and phylogenetic modelling will be brought into the cross-disciplinary approach to acquire a new holistic view on the interconnections between human migration, language spread, climate change and early farming in Late Holocene Central Africa.
Max ERC Funding
1 997 500 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym BAPS
Project Bayesian Agent-based Population Studies: Transforming Simulation Models of Human Migration
Researcher (PI) Jakub KAZIMIERZ BIJAK
Host Institution (HI) UNIVERSITY OF SOUTHAMPTON
Call Details Consolidator Grant (CoG), SH3, ERC-2016-COG
Summary The aim of BAPS is to develop a ground-breaking simulation model of international migration, based on a population of intelligent, cognitive agents, their social networks and institutions, all interacting with one another. The project will transform the study of migration – one of the most uncertain population processes and a top-priority EU policy area – by offering a step change in the way it can be understood, predicted and managed. In this way, BAPS will effectively integrate behavioural and social theory with modelling.
To develop micro-foundations for migration studies, model design will follow cutting-edge developments in demography, statistics, cognitive psychology and computer science. BAPS will also offer a pioneering environment for applying the findings in practice through a bespoke modelling language. Bayesian statistical principles will be used to design innovative computer experiments, and learn about modelling the simulated individuals and the way they make decisions.
In BAPS, we will collate available information for migration models; build and test the simulations by applying experimental design principles to enhance our knowledge of migration processes; collect information on the underpinning decision-making mechanisms through psychological experiments; and design software for implementing Bayesian agent-based models in practice. The project will use various information sources to build models bottom-up, filling an important epistemological gap in demography.
BAPS will be carried out by the Allianz European Demographer 2015, recognised as a leader in the field for methodological innovation, directing an interdisciplinary team with expertise in demography, agent-based models, statistical analysis of uncertainty, meta-cognition, and computer simulations. The project will open up exciting research possibilities beyond demography, and will generate both academic and practical impact, offering methodological advice for policy-relevant simulations.
Summary
The aim of BAPS is to develop a ground-breaking simulation model of international migration, based on a population of intelligent, cognitive agents, their social networks and institutions, all interacting with one another. The project will transform the study of migration – one of the most uncertain population processes and a top-priority EU policy area – by offering a step change in the way it can be understood, predicted and managed. In this way, BAPS will effectively integrate behavioural and social theory with modelling.
To develop micro-foundations for migration studies, model design will follow cutting-edge developments in demography, statistics, cognitive psychology and computer science. BAPS will also offer a pioneering environment for applying the findings in practice through a bespoke modelling language. Bayesian statistical principles will be used to design innovative computer experiments, and learn about modelling the simulated individuals and the way they make decisions.
In BAPS, we will collate available information for migration models; build and test the simulations by applying experimental design principles to enhance our knowledge of migration processes; collect information on the underpinning decision-making mechanisms through psychological experiments; and design software for implementing Bayesian agent-based models in practice. The project will use various information sources to build models bottom-up, filling an important epistemological gap in demography.
BAPS will be carried out by the Allianz European Demographer 2015, recognised as a leader in the field for methodological innovation, directing an interdisciplinary team with expertise in demography, agent-based models, statistical analysis of uncertainty, meta-cognition, and computer simulations. The project will open up exciting research possibilities beyond demography, and will generate both academic and practical impact, offering methodological advice for policy-relevant simulations.
Max ERC Funding
1 455 590 €
Duration
Start date: 2017-06-01, End date: 2021-05-31
Project acronym BaSaR
Project Beyond the Silk Road: Economic Development, Frontier Zones and Inter-Imperiality in the Afro-Eurasian World Region, 300 BCE to 300 CE
Researcher (PI) Sitta Valerie Ilse Alberta VON REDEN
Host Institution (HI) ALBERT-LUDWIGS-UNIVERSITAET FREIBURG
Call Details Advanced Grant (AdG), SH6, ERC-2016-ADG
Summary This interdisciplinary project will show that inter-imperial zones and small to mid-size regional networks of exchange were crucial for ancient Transeurasian exchange connections. It will demonstrate the significance of exchange in imperial frontier zones emerging from political, economic, infrastructural, institutional and technological development within empires. This will lead to a new conceptual frame for analyzing inter-imperiality and the morphology of exchange networks within and across imperial zones.
The centuries from 300 BCE to 300 CE were a period of accelerated empire transformation involving also new regions of the Afro-Eurasian world. Consumption centres shifted, affecting production, settlement, and regional exchange networks. They changed the dynamics of exchange, created new geographies, and greater cultural convergence between imperial spheres of influence. The development of imperial frontier zones of intense exchange and mobility (e.g. Northern China, Bactria, Gandhara, Syria, and the Red Sea/Gulf/Indian Ocean coasts) was related to imperial hinterlands, their fiscal-military-administrative regimes, the development of media of exchange and infrastructures, settlement, urban growth, and so on. It was also related to new forms and levels of consumption in imperial centres. In order to understand Transeurasian connectivity, the interdependence of frontier zone and inner-imperial development is crucial. We will reveal that competitions for social power within empires mobilized and concentrated resources reclaimed from natural landscapes and subsistence economies. Greater mobility of resources, both human and material, endowed competitions for power with economic force, feeding into inter-imperial prestige economies and trade. This new model of Afro-Eurasian connectivity will abandon some problematic assumptions of Silk Road trade, while maintaining the Afro-Eurasian macro-region as a meaningful unit for cultural and economic analysis.
Summary
This interdisciplinary project will show that inter-imperial zones and small to mid-size regional networks of exchange were crucial for ancient Transeurasian exchange connections. It will demonstrate the significance of exchange in imperial frontier zones emerging from political, economic, infrastructural, institutional and technological development within empires. This will lead to a new conceptual frame for analyzing inter-imperiality and the morphology of exchange networks within and across imperial zones.
The centuries from 300 BCE to 300 CE were a period of accelerated empire transformation involving also new regions of the Afro-Eurasian world. Consumption centres shifted, affecting production, settlement, and regional exchange networks. They changed the dynamics of exchange, created new geographies, and greater cultural convergence between imperial spheres of influence. The development of imperial frontier zones of intense exchange and mobility (e.g. Northern China, Bactria, Gandhara, Syria, and the Red Sea/Gulf/Indian Ocean coasts) was related to imperial hinterlands, their fiscal-military-administrative regimes, the development of media of exchange and infrastructures, settlement, urban growth, and so on. It was also related to new forms and levels of consumption in imperial centres. In order to understand Transeurasian connectivity, the interdependence of frontier zone and inner-imperial development is crucial. We will reveal that competitions for social power within empires mobilized and concentrated resources reclaimed from natural landscapes and subsistence economies. Greater mobility of resources, both human and material, endowed competitions for power with economic force, feeding into inter-imperial prestige economies and trade. This new model of Afro-Eurasian connectivity will abandon some problematic assumptions of Silk Road trade, while maintaining the Afro-Eurasian macro-region as a meaningful unit for cultural and economic analysis.
Max ERC Funding
2 498 750 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym Becoming Social
Project Social Interaction Perception and the Social Brain Across Typical and Atypical Development
Researcher (PI) Kami KOLDEWYN
Host Institution (HI) BANGOR UNIVERSITY
Call Details Starting Grant (StG), SH4, ERC-2016-STG
Summary Social interactions are multifaceted and subtle, yet we can almost instantaneously discern if two people are cooperating or competing, flirting or fighting, or helping or hindering each other. Surprisingly, the development and brain basis of this remarkable ability has remained largely unexplored. At the same time, understanding how we develop the ability to process and use social information from other people is widely recognized as a core challenge facing developmental cognitive neuroscience. The Becoming Social project meets this challenge by proposing the most complete investigation to date of the development of the behavioural and neurobiological systems that support complex social perception. To achieve this, we first systematically map how the social interactions we observe are coded in the brain by testing typical adults. Next, we investigate developmental change both behaviourally and neurally during a key stage in social development in typically developing children. Finally, we explore whether social interaction perception is clinically relevant by investigating it developmentally in autism spectrum disorder. The Becoming Social project is expected to lead to a novel conception of the neurocognitive architecture supporting the perception of social interactions. In addition, neuroimaging and behavioural tasks measured longitudinally during development will allow us to determine how individual differences in brain and behaviour are causally related to real-world social ability and social learning. The planned studies as well as those generated during the project will enable the Becoming Social team to become a world-leading group bridging social cognition, neuroscience and developmental psychology.
Summary
Social interactions are multifaceted and subtle, yet we can almost instantaneously discern if two people are cooperating or competing, flirting or fighting, or helping or hindering each other. Surprisingly, the development and brain basis of this remarkable ability has remained largely unexplored. At the same time, understanding how we develop the ability to process and use social information from other people is widely recognized as a core challenge facing developmental cognitive neuroscience. The Becoming Social project meets this challenge by proposing the most complete investigation to date of the development of the behavioural and neurobiological systems that support complex social perception. To achieve this, we first systematically map how the social interactions we observe are coded in the brain by testing typical adults. Next, we investigate developmental change both behaviourally and neurally during a key stage in social development in typically developing children. Finally, we explore whether social interaction perception is clinically relevant by investigating it developmentally in autism spectrum disorder. The Becoming Social project is expected to lead to a novel conception of the neurocognitive architecture supporting the perception of social interactions. In addition, neuroimaging and behavioural tasks measured longitudinally during development will allow us to determine how individual differences in brain and behaviour are causally related to real-world social ability and social learning. The planned studies as well as those generated during the project will enable the Becoming Social team to become a world-leading group bridging social cognition, neuroscience and developmental psychology.
Max ERC Funding
1 500 000 €
Duration
Start date: 2017-04-01, End date: 2022-03-31
Project acronym BEHAVE
Project New discrete choice theory for understanding moral decision making behaviour
Researcher (PI) Caspar Gerard CHORUS
Host Institution (HI) TECHNISCHE UNIVERSITEIT DELFT
Call Details Consolidator Grant (CoG), SH2, ERC-2016-COG
Summary Discrete choice theory provides a mathematically rigorous framework to analyse and predict choice behaviour. While many of the theory’s key developments originate from the domain of transportation (mobility, travel behaviour), it is now widely used throughout the social sciences.
The theory has a blind spot for moral choice behaviour. It was designed to analyse situations where people make choices that are optimal given their consumer preferences, rather than situations where people attempt to make choices that are right, given their moral preferences. This neglect of the morality of choice is striking, in light of the fact that many of the most important choices people make, have a moral dimension.
This research program extends discrete choice theory to the domain of moral decision making.
It will produce a suite of new mathematical representations of choice behaviour (i.e., choice models), which are designed to capture the decision rules and decision weights that determine how individuals behave in moral choice situations. In these models, particular emphasis is given to heterogeneity in moral decision rules and to the role of social influences. Models will be estimated and validated using data obtained through a series of interviews, surveys and choice experiments. Empirical analyses will take place in the context of moral choice situations concerning i) co-operative road using and ii) unsafe driving practices. Estimation results will be used as input for agent based models, to identify how social interaction processes lead to the emergence, persistence or dissolution of moral (traffic) equilibria at larger spatio-temporal scales.
Together, these proposed research efforts promise to generate a major breakthrough in discrete choice theory. In addition, the program will result in important methodological contributions to the empirical study of moral decision making behaviour in general; and to new insights into the moral aspects of (travel) behaviour.
Summary
Discrete choice theory provides a mathematically rigorous framework to analyse and predict choice behaviour. While many of the theory’s key developments originate from the domain of transportation (mobility, travel behaviour), it is now widely used throughout the social sciences.
The theory has a blind spot for moral choice behaviour. It was designed to analyse situations where people make choices that are optimal given their consumer preferences, rather than situations where people attempt to make choices that are right, given their moral preferences. This neglect of the morality of choice is striking, in light of the fact that many of the most important choices people make, have a moral dimension.
This research program extends discrete choice theory to the domain of moral decision making.
It will produce a suite of new mathematical representations of choice behaviour (i.e., choice models), which are designed to capture the decision rules and decision weights that determine how individuals behave in moral choice situations. In these models, particular emphasis is given to heterogeneity in moral decision rules and to the role of social influences. Models will be estimated and validated using data obtained through a series of interviews, surveys and choice experiments. Empirical analyses will take place in the context of moral choice situations concerning i) co-operative road using and ii) unsafe driving practices. Estimation results will be used as input for agent based models, to identify how social interaction processes lead to the emergence, persistence or dissolution of moral (traffic) equilibria at larger spatio-temporal scales.
Together, these proposed research efforts promise to generate a major breakthrough in discrete choice theory. In addition, the program will result in important methodological contributions to the empirical study of moral decision making behaviour in general; and to new insights into the moral aspects of (travel) behaviour.
Max ERC Funding
1 998 750 €
Duration
Start date: 2017-08-01, End date: 2022-07-31
Project acronym BEHAVIORAL THEORY
Project Behavioral Theory and Economic Applications
Researcher (PI) Botond Koszegi
Host Institution (HI) KOZEP-EUROPAI EGYETEM
Call Details Starting Grant (StG), SH1, ERC-2012-StG_20111124
Summary "This proposal outlines projects to develop robust and portable theories studying the impact of psychological phenomena in economic settings. The proposed work falls in three broad research agendas.
My first main agenda is to formally model and economically apply a simple observation: that when people make decisions, they do not focus equally on all attributes of their available options, and overweight the attributes they focus on. I will build a set of portable models of focusing in attribute-based choice and risky choice based on the idea that a person focuses more on attributes in which her options differ more. I will also use the framework to develop novel, focus-based, theories of intertemporal choice and social preferences, as well as analyze the implications of focusing for product design, principal-agent relationships, and other economic questions.
My second main agenda is to explore some implications for market outcomes, welfare, and policy of the possibility that consumers misperceive certain aspects of products. I will investigate the circumstances that facilitate the profitable deception of consumers; firms' incentives for ""innovating"" deceptive products, including novel financial products aimed at exploiting investors; how firms' ability to distinguish naive and sophisticated consumers affects the consequences of deception; whether learning on the part of consumers will help them to avoid making mistakes; and how regulators and other observers can detect consumer mistakes from market data.
Two further projects apply the model of reference-dependent utility I have developed in earlier work to understand the pricing and advertising behavior of firms. I will also aim to disseminate some of my work, along with other cutting-edge research in psychology and economics, in a Journal of Economic Literature survey on ""Behavioral Contract Theory."""
Summary
"This proposal outlines projects to develop robust and portable theories studying the impact of psychological phenomena in economic settings. The proposed work falls in three broad research agendas.
My first main agenda is to formally model and economically apply a simple observation: that when people make decisions, they do not focus equally on all attributes of their available options, and overweight the attributes they focus on. I will build a set of portable models of focusing in attribute-based choice and risky choice based on the idea that a person focuses more on attributes in which her options differ more. I will also use the framework to develop novel, focus-based, theories of intertemporal choice and social preferences, as well as analyze the implications of focusing for product design, principal-agent relationships, and other economic questions.
My second main agenda is to explore some implications for market outcomes, welfare, and policy of the possibility that consumers misperceive certain aspects of products. I will investigate the circumstances that facilitate the profitable deception of consumers; firms' incentives for ""innovating"" deceptive products, including novel financial products aimed at exploiting investors; how firms' ability to distinguish naive and sophisticated consumers affects the consequences of deception; whether learning on the part of consumers will help them to avoid making mistakes; and how regulators and other observers can detect consumer mistakes from market data.
Two further projects apply the model of reference-dependent utility I have developed in earlier work to understand the pricing and advertising behavior of firms. I will also aim to disseminate some of my work, along with other cutting-edge research in psychology and economics, in a Journal of Economic Literature survey on ""Behavioral Contract Theory."""
Max ERC Funding
1 275 448 €
Duration
Start date: 2012-11-01, End date: 2018-10-31
Project acronym BeyondBlackbox
Project Data-Driven Methods for Modelling and Optimizing the Empirical Performance of Deep Neural Networks
Researcher (PI) Frank Roman HUTTER
Host Institution (HI) ALBERT-LUDWIGS-UNIVERSITAET FREIBURG
Call Details Starting Grant (StG), PE6, ERC-2016-STG
Summary Deep neural networks (DNNs) have led to dramatic improvements of the state-of-the-art for many important classification problems, such as object recognition from images or speech recognition from audio data. However, DNNs are also notoriously dependent on the tuning of their hyperparameters. Since their manual tuning is time-consuming and requires expert knowledge, recent years have seen the rise of Bayesian optimization methods for automating this task. While these methods have had substantial successes, their treatment of DNN performance as a black box poses fundamental limitations, allowing manual tuning to be more effective for large and computationally expensive data sets: humans can (1) exploit prior knowledge and extrapolate performance from data subsets, (2) monitor the DNN's internal weight optimization by stochastic gradient descent over time, and (3) reactively change hyperparameters at runtime. We therefore propose to model DNN performance beyond a blackbox level and to use these models to develop for the first time:
1. Next-generation Bayesian optimization methods that exploit data-driven priors to optimize performance orders of magnitude faster than currently possible;
2. Graybox Bayesian optimization methods that have access to -- and exploit -- performance and state information of algorithm runs over time; and
3. Hyperparameter control strategies that learn across different datasets to adapt hyperparameters reactively to the characteristics of any given situation.
DNNs play into our project in two ways. First, in all our methods we will use (Bayesian) DNNs to model and exploit the large amounts of performance data we will collect on various datasets. Second, our application goal is to optimize and control DNN hyperparameters far better than human experts and to obtain:
4. Computationally inexpensive auto-tuned deep neural networks, even for large datasets, enabling the widespread use of deep learning by non-experts.
Summary
Deep neural networks (DNNs) have led to dramatic improvements of the state-of-the-art for many important classification problems, such as object recognition from images or speech recognition from audio data. However, DNNs are also notoriously dependent on the tuning of their hyperparameters. Since their manual tuning is time-consuming and requires expert knowledge, recent years have seen the rise of Bayesian optimization methods for automating this task. While these methods have had substantial successes, their treatment of DNN performance as a black box poses fundamental limitations, allowing manual tuning to be more effective for large and computationally expensive data sets: humans can (1) exploit prior knowledge and extrapolate performance from data subsets, (2) monitor the DNN's internal weight optimization by stochastic gradient descent over time, and (3) reactively change hyperparameters at runtime. We therefore propose to model DNN performance beyond a blackbox level and to use these models to develop for the first time:
1. Next-generation Bayesian optimization methods that exploit data-driven priors to optimize performance orders of magnitude faster than currently possible;
2. Graybox Bayesian optimization methods that have access to -- and exploit -- performance and state information of algorithm runs over time; and
3. Hyperparameter control strategies that learn across different datasets to adapt hyperparameters reactively to the characteristics of any given situation.
DNNs play into our project in two ways. First, in all our methods we will use (Bayesian) DNNs to model and exploit the large amounts of performance data we will collect on various datasets. Second, our application goal is to optimize and control DNN hyperparameters far better than human experts and to obtain:
4. Computationally inexpensive auto-tuned deep neural networks, even for large datasets, enabling the widespread use of deep learning by non-experts.
Max ERC Funding
1 495 000 €
Duration
Start date: 2017-01-01, End date: 2021-12-31
Project acronym BeyondWorstCase
Project Algorithms beyond the Worst Case
Researcher (PI) Heiko Roglin
Host Institution (HI) RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONN
Call Details Starting Grant (StG), PE6, ERC-2012-StG_20111012
Summary For many optimization problems that arise in logistics, information retrieval, and other contexts the classical theory of algorithms has lost its grip on reality because it is based on a pessimistic worst-case perspective, in which the performance of an algorithm is solely measured by its behavior on the worst possible input. This does not take into consideration that worst-case inputs are often rather contrived and occur only rarely in practical applications. It led to the situation that for many problems the classical theory is not able to differentiate meaningfully between different algorithms. Even worse, for some important problems it recommends algorithms that perform badly in practice over algorithms that work well in practice only because the artificial worst-case performance of the latter ones is bad.
We will study classic optimization problems (traveling salesperson problem, linear programming, etc.) as well as problems coming from machine learning and information retrieval. All these problems have in common that the practically most successful algorithms have a devastating worst-case performance even though they clearly outperform the theoretically best algorithms.
Only in recent years a paradigm shift towards a more realistic and robust algorithmic theory has been initiated. This project will play a major role in this paradigm shift by developing and exploring novel theoretical approaches (e.g. smoothed analysis) to reconcile theory and practice. A more realistic theory will have a profound impact on the design and analysis of algorithms in the future, and the insights gained in this project will lead to algorithmic tools for large-scale optimization problems that improve on existing ad hoc methods. We will not only work theoretically but also test the applicability of our theoretical considerations in experimental studies.
Summary
For many optimization problems that arise in logistics, information retrieval, and other contexts the classical theory of algorithms has lost its grip on reality because it is based on a pessimistic worst-case perspective, in which the performance of an algorithm is solely measured by its behavior on the worst possible input. This does not take into consideration that worst-case inputs are often rather contrived and occur only rarely in practical applications. It led to the situation that for many problems the classical theory is not able to differentiate meaningfully between different algorithms. Even worse, for some important problems it recommends algorithms that perform badly in practice over algorithms that work well in practice only because the artificial worst-case performance of the latter ones is bad.
We will study classic optimization problems (traveling salesperson problem, linear programming, etc.) as well as problems coming from machine learning and information retrieval. All these problems have in common that the practically most successful algorithms have a devastating worst-case performance even though they clearly outperform the theoretically best algorithms.
Only in recent years a paradigm shift towards a more realistic and robust algorithmic theory has been initiated. This project will play a major role in this paradigm shift by developing and exploring novel theoretical approaches (e.g. smoothed analysis) to reconcile theory and practice. A more realistic theory will have a profound impact on the design and analysis of algorithms in the future, and the insights gained in this project will lead to algorithmic tools for large-scale optimization problems that improve on existing ad hoc methods. We will not only work theoretically but also test the applicability of our theoretical considerations in experimental studies.
Max ERC Funding
1 235 820 €
Duration
Start date: 2012-10-01, End date: 2017-09-30
Project acronym BigFastData
Project Charting a New Horizon of Big and Fast Data Analysis through Integrated Algorithm Design
Researcher (PI) Yanlei DIAO
Host Institution (HI) ECOLE POLYTECHNIQUE
Call Details Consolidator Grant (CoG), PE6, ERC-2016-COG
Summary This proposal addresses a pressing need from emerging big data applications such as genomics and data center monitoring: besides the scale of processing, big data systems must also enable perpetual, low-latency processing for a broad set of analytical tasks, referred to as big and fast data analysis. Today’s technology falls severely short for such needs due to the lack of support of complex analytics with scale, low latency, and strong guarantees of user performance requirements. To bridge the gap, this proposal tackles a grand challenge: “How do we design an algorithmic foundation that enables the development of all necessary pillars of big and fast data analysis?” This proposal considers three pillars:
1) Parallelism: There is a fundamental tension between data parallelism (for scale) and pipeline parallelism (for low latency). We propose new approaches based on intelligent use of memory and workload properties to integrate both forms of parallelism.
2) Analytics: The literature lacks a large body of algorithms for critical order-related analytics to be run under data and pipeline parallelism. We propose new algorithmic frameworks to enable such analytics.
3) Optimization: To run analytics, today's big data systems are best effort only. We transform such systems into a principled optimization framework that suits the new characteristics of big data infrastructure and adapts to meet user performance requirements.
The scale and complexity of the proposed algorithm design makes this project high-risk, at the same time, high-gain: it will lay a solid foundation for big and fast data analysis, enabling a new integrated parallel processing paradigm, algorithms for critical order-related analytics, and a principled optimizer with strong performance guarantees. It will also broadly enable accelerated information discovery in emerging domains such as genomics, as well as economic benefits of early, well-informed decisions and reduced user payments.
Summary
This proposal addresses a pressing need from emerging big data applications such as genomics and data center monitoring: besides the scale of processing, big data systems must also enable perpetual, low-latency processing for a broad set of analytical tasks, referred to as big and fast data analysis. Today’s technology falls severely short for such needs due to the lack of support of complex analytics with scale, low latency, and strong guarantees of user performance requirements. To bridge the gap, this proposal tackles a grand challenge: “How do we design an algorithmic foundation that enables the development of all necessary pillars of big and fast data analysis?” This proposal considers three pillars:
1) Parallelism: There is a fundamental tension between data parallelism (for scale) and pipeline parallelism (for low latency). We propose new approaches based on intelligent use of memory and workload properties to integrate both forms of parallelism.
2) Analytics: The literature lacks a large body of algorithms for critical order-related analytics to be run under data and pipeline parallelism. We propose new algorithmic frameworks to enable such analytics.
3) Optimization: To run analytics, today's big data systems are best effort only. We transform such systems into a principled optimization framework that suits the new characteristics of big data infrastructure and adapts to meet user performance requirements.
The scale and complexity of the proposed algorithm design makes this project high-risk, at the same time, high-gain: it will lay a solid foundation for big and fast data analysis, enabling a new integrated parallel processing paradigm, algorithms for critical order-related analytics, and a principled optimizer with strong performance guarantees. It will also broadly enable accelerated information discovery in emerging domains such as genomics, as well as economic benefits of early, well-informed decisions and reduced user payments.
Max ERC Funding
2 472 752 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym BIMPC
Project Biologically-Inspired Massively-Parallel Computation
Researcher (PI) Stephen Byram Furber
Host Institution (HI) THE UNIVERSITY OF MANCHESTER
Call Details Advanced Grant (AdG), PE6, ERC-2012-ADG_20120216
Summary "We aim to establish a world-leading research capability in Europe for advancing novel models of asynchronous computation based upon principles inspired by brain function. This work will accelerate progress towards an understanding of how the potential of brain-inspired many-core architectures may be harnessed. The results will include new brain-inspired models of asynchronous computation and new brain- inspired approaches to fault-tolerance and reliability in complex computer systems.
Many-core processors are now established as the way forward for computing from embedded systems to supercomputers. An emerging problem with leading-edge silicon technology is a reduction in the yield and reliability of modern processors due to high variability in the manufacture of the components and interconnect as transistor geometries shrink towards atomic scales. We are faced with the longstanding problem of how to make use of a potentially large array of parallel processors, but with the new constraint that the individual elements are the system are inherently unreliable.
The human brain remains as one of the great frontiers of science – how does this organ upon which we all depend so critically actually do its job? A great deal is known about the underlying technology – the neuron – and we can observe large-scale brain activity through techniques such as magnetic resonance imaging, but this knowledge barely starts to tell us how the brain works. Something is happening at the intermediate levels of processing that we have yet to begin to understand, but the essence of the brain's massively-parallel information processing capabilities and robustness to component failure lies in these intermediate levels.
These two issues draws us towards two high-level research questions:
• Can our growing understanding of brain function point the way to more efficient parallel, fault-tolerant computing?
• Can massively parallel computing resources accelerate our understanding of brain function"
Summary
"We aim to establish a world-leading research capability in Europe for advancing novel models of asynchronous computation based upon principles inspired by brain function. This work will accelerate progress towards an understanding of how the potential of brain-inspired many-core architectures may be harnessed. The results will include new brain-inspired models of asynchronous computation and new brain- inspired approaches to fault-tolerance and reliability in complex computer systems.
Many-core processors are now established as the way forward for computing from embedded systems to supercomputers. An emerging problem with leading-edge silicon technology is a reduction in the yield and reliability of modern processors due to high variability in the manufacture of the components and interconnect as transistor geometries shrink towards atomic scales. We are faced with the longstanding problem of how to make use of a potentially large array of parallel processors, but with the new constraint that the individual elements are the system are inherently unreliable.
The human brain remains as one of the great frontiers of science – how does this organ upon which we all depend so critically actually do its job? A great deal is known about the underlying technology – the neuron – and we can observe large-scale brain activity through techniques such as magnetic resonance imaging, but this knowledge barely starts to tell us how the brain works. Something is happening at the intermediate levels of processing that we have yet to begin to understand, but the essence of the brain's massively-parallel information processing capabilities and robustness to component failure lies in these intermediate levels.
These two issues draws us towards two high-level research questions:
• Can our growing understanding of brain function point the way to more efficient parallel, fault-tolerant computing?
• Can massively parallel computing resources accelerate our understanding of brain function"
Max ERC Funding
2 399 761 €
Duration
Start date: 2013-03-01, End date: 2018-02-28
Project acronym BIOCON
Project Biological origins of linguistic constraints
Researcher (PI) Juan Manuel Toro
Host Institution (HI) UNIVERSIDAD POMPEU FABRA
Call Details Starting Grant (StG), SH4, ERC-2012-StG_20111124
Summary The linguistic capacity to express and comprehend an unlimited number of ideas when combining a limited number of elements has only been observed in humans. Nevertheless, research has not fully identified the components of language that make it uniquely human and that allow infants to grasp the complexity of linguistic structure in an apparently effortless manner. Research on comparative cognition suggests humans and other species share powerful learning mechanisms and basic perceptual abilities we use for language processing. But humans display remarkable linguistic abilities that other animals do not possess. Understanding the interplay between general mechanisms shared across species and more specialized ones dedicated to the speech signal is at the heart of current debates in human language acquisition. This is a highly relevant issue for researchers in the fields of Psychology, Linguistics, Biology, Philosophy and Cognitive Neuroscience. By conducting experiments across several populations (human adults and infants) and species (human and nonhuman animals), and using a wide array of experimental techniques, the present proposal hopes to shed some light on the origins of shared biological constraints that guide more specialized mechanisms in the search for linguistic structure. More specifically, we hope to understand how general perceptual and cognitive mechanisms likely present in other animals constrain the way humans tackle the task of language acquisition. Our hypothesis is that differences between humans and other species are not the result of humans being able to process increasingly complex structures that are the hallmark of language. Rather, differences might be due to humans and other animals focusing on different cues present in the signal to extract relevant information. This research will hint at what is uniquely human and what is shared across different animals species.
Summary
The linguistic capacity to express and comprehend an unlimited number of ideas when combining a limited number of elements has only been observed in humans. Nevertheless, research has not fully identified the components of language that make it uniquely human and that allow infants to grasp the complexity of linguistic structure in an apparently effortless manner. Research on comparative cognition suggests humans and other species share powerful learning mechanisms and basic perceptual abilities we use for language processing. But humans display remarkable linguistic abilities that other animals do not possess. Understanding the interplay between general mechanisms shared across species and more specialized ones dedicated to the speech signal is at the heart of current debates in human language acquisition. This is a highly relevant issue for researchers in the fields of Psychology, Linguistics, Biology, Philosophy and Cognitive Neuroscience. By conducting experiments across several populations (human adults and infants) and species (human and nonhuman animals), and using a wide array of experimental techniques, the present proposal hopes to shed some light on the origins of shared biological constraints that guide more specialized mechanisms in the search for linguistic structure. More specifically, we hope to understand how general perceptual and cognitive mechanisms likely present in other animals constrain the way humans tackle the task of language acquisition. Our hypothesis is that differences between humans and other species are not the result of humans being able to process increasingly complex structures that are the hallmark of language. Rather, differences might be due to humans and other animals focusing on different cues present in the signal to extract relevant information. This research will hint at what is uniquely human and what is shared across different animals species.
Max ERC Funding
1 305 973 €
Duration
Start date: 2013-01-01, End date: 2018-12-31
Project acronym BIOFAGE
Project Interaction Dynamics of Bacterial Biofilms with Bacteriophages
Researcher (PI) Knut DRESCHER
Host Institution (HI) MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Call Details Starting Grant (StG), LS8, ERC-2016-STG
Summary Biofilms are antibiotic-resistant, sessile bacterial communities that occupy most moist surfaces on Earth and represent a major mode of bacterial life. Another common feature of bacterial life is exposure to viral parasites (termed phages), which are a dominant force in bacterial population control throughout nature. Surprisingly, almost nothing is known about the interactions between biofilm-dwelling bacteria and phages. This proposal is designed to fill this gap using a combination of novel methodology, experimental systems, and mathematical modeling. We have recently developed a new microscopic imaging technique that allows us to image and track all individual cells and their gene expression inside biofilms. First, we will use this technique for tracking the population dynamics of bacteria and phages within biofilms at single cell resolution. By genetically manipulating bacterial hosts and their phages, and by varying environmental conditions, we will investigate the fundamental biological and physical determinants of phage spread within biofilm communities. Second, we will study how biofilms respond to phage attack on both intra-generational and evolutionary time scales, focusing in particular on proximate response mechanisms and the population dynamics of phage-resistant and phage-susceptible cells as a function of biofilm spatial structure. Lastly, we will combine our novel insights to engineer phages that manipulate the composition of biofilm communities, either by subtraction of particular bacterial species or by addition of novel phenotypes to existing biofilm community members. Altogether, the proposed research promises to uncover the major mechanistic and evolutionary elements of biofilm-phage interactions. This combined work will greatly enrich our knowledge of microbial ecology and motivate novel strategies for bacterial biofilm control, an increasingly urgent priority in light of widespread antibiotic resistance.
Summary
Biofilms are antibiotic-resistant, sessile bacterial communities that occupy most moist surfaces on Earth and represent a major mode of bacterial life. Another common feature of bacterial life is exposure to viral parasites (termed phages), which are a dominant force in bacterial population control throughout nature. Surprisingly, almost nothing is known about the interactions between biofilm-dwelling bacteria and phages. This proposal is designed to fill this gap using a combination of novel methodology, experimental systems, and mathematical modeling. We have recently developed a new microscopic imaging technique that allows us to image and track all individual cells and their gene expression inside biofilms. First, we will use this technique for tracking the population dynamics of bacteria and phages within biofilms at single cell resolution. By genetically manipulating bacterial hosts and their phages, and by varying environmental conditions, we will investigate the fundamental biological and physical determinants of phage spread within biofilm communities. Second, we will study how biofilms respond to phage attack on both intra-generational and evolutionary time scales, focusing in particular on proximate response mechanisms and the population dynamics of phage-resistant and phage-susceptible cells as a function of biofilm spatial structure. Lastly, we will combine our novel insights to engineer phages that manipulate the composition of biofilm communities, either by subtraction of particular bacterial species or by addition of novel phenotypes to existing biofilm community members. Altogether, the proposed research promises to uncover the major mechanistic and evolutionary elements of biofilm-phage interactions. This combined work will greatly enrich our knowledge of microbial ecology and motivate novel strategies for bacterial biofilm control, an increasingly urgent priority in light of widespread antibiotic resistance.
Max ERC Funding
1 494 963 €
Duration
Start date: 2017-01-01, End date: 2021-12-31
Project acronym BODILY SELF
Project Embodied Minds and Mentalised Bodies
Researcher (PI) Aikaterini (Katerina) Fotopoulou
Host Institution (HI) UNIVERSITY COLLEGE LONDON
Call Details Starting Grant (StG), SH4, ERC-2012-StG_20111124
Summary How does our acting, sensing and feeling body shape our mind? The mechanisms by which bodily signals are integrated and re-represented in the brain, as well as the relation between these processes and body awareness remain unknown. To this date, neuropsychological disorders of body awareness represent an indispensible window of insight into phenomenally rich states of body unawareness. Unfortunately, only few experimental studies have been conducted in these disorders. The BODILY SELF will aim to apply methods from cognitive neuroscience to experimental and neuroimaging studies in healthy volunteers, as well as in patients with neuropsychological disorders of body awareness. A first subproject will assess which combination of deficits in sensorimotor afferent and efferent signals leads to unawareness. The second subproject will attempt to use experimental, psychophysical interventions to treat unawareness and measure the corresponding, dynamic changes in the brain. The third subproject will assess how some bodily signals and their integration is influenced by social mechanisms. The planned studies surpass the existing state-of-the-art in the relevant fields in five ground-breaking ways, ultimately allowing us to (1) acquire an unprecedented ‘on-line’ experimental ‘handle’ over dynamic changes in body awareness; (2) restore awareness and improve health outcomes (3) understand the brain’s potential for reorganisation and plasticity in relation to higher-order processes such as awareness; (4) understand how our own body experience is modulated by our interactions and relations with others; (5) address in a genuinely interdisciplinary manner some of the oldest questions in psychology, philosophy and medicine; how embodiment influences the mind, how others influence the self and how mind–body processes affect healing.
Summary
How does our acting, sensing and feeling body shape our mind? The mechanisms by which bodily signals are integrated and re-represented in the brain, as well as the relation between these processes and body awareness remain unknown. To this date, neuropsychological disorders of body awareness represent an indispensible window of insight into phenomenally rich states of body unawareness. Unfortunately, only few experimental studies have been conducted in these disorders. The BODILY SELF will aim to apply methods from cognitive neuroscience to experimental and neuroimaging studies in healthy volunteers, as well as in patients with neuropsychological disorders of body awareness. A first subproject will assess which combination of deficits in sensorimotor afferent and efferent signals leads to unawareness. The second subproject will attempt to use experimental, psychophysical interventions to treat unawareness and measure the corresponding, dynamic changes in the brain. The third subproject will assess how some bodily signals and their integration is influenced by social mechanisms. The planned studies surpass the existing state-of-the-art in the relevant fields in five ground-breaking ways, ultimately allowing us to (1) acquire an unprecedented ‘on-line’ experimental ‘handle’ over dynamic changes in body awareness; (2) restore awareness and improve health outcomes (3) understand the brain’s potential for reorganisation and plasticity in relation to higher-order processes such as awareness; (4) understand how our own body experience is modulated by our interactions and relations with others; (5) address in a genuinely interdisciplinary manner some of the oldest questions in psychology, philosophy and medicine; how embodiment influences the mind, how others influence the self and how mind–body processes affect healing.
Max ERC Funding
1 453 284 €
Duration
Start date: 2013-04-01, End date: 2018-09-30
Project acronym BORDER
Project Towards a decentred history of the Middle East: Transborder spaces, circulations, frontier effects and state formation, 1920-1946
Researcher (PI) Jordi TEJEL GORGAS
Host Institution (HI) UNIVERSITE DE NEUCHATEL
Call Details Consolidator Grant (CoG), SH6, ERC-2016-COG
Summary While the crisis of the territorial nation-state in the Middle East has once again been brought to a head by the wars in Iraq and Syria, it cannot be simply understood as the logical consequence of an imported political construction. Based on two epistemological notions – borderlands as histoire-problème (history-as-problem) and the co-production of borders between state and society – this research project proposes to rethink the classical historical narrative about the emergence of the post-Ottoman Middle East. Taking its cue from trans-border phenomena and thus paying attention to the circulation of people, goods and ideas as well as to everyday encounters between local actors and state representatives, the project will be guided by four principle objectives to offer:
• A socio-historical analysis of state violence in the borderlands of the Middle East;
• An examination of the capacity of border populations to create the history of the borderlands, nation-states, and the region as a whole;
• A study of the frontier effects based around the notions of subjectivity, space and time, and involving various levels of observation (macro, meso and micro) in order to identify the ruptures and continuities evoked by the delineation of new borderlines; and
• A historical lens through which to make sense of current events in Syria and Iraq, and possibly orient conflict-resolution practitioners.
Through the exploitation of a wide range of sources (diplomatic, administrative and military records, missionary documents, newspapers) and by looking at the social construction of international frontiers at the borderlands located between Turkey, Iraq and Syria in the interwar era, the research project will provide a much more holistic yet finely-grained understanding of the formation of the territorial state in the region in the aftermath of the First World War as well as a historical perspective on the on-going armed conflicts.
Summary
While the crisis of the territorial nation-state in the Middle East has once again been brought to a head by the wars in Iraq and Syria, it cannot be simply understood as the logical consequence of an imported political construction. Based on two epistemological notions – borderlands as histoire-problème (history-as-problem) and the co-production of borders between state and society – this research project proposes to rethink the classical historical narrative about the emergence of the post-Ottoman Middle East. Taking its cue from trans-border phenomena and thus paying attention to the circulation of people, goods and ideas as well as to everyday encounters between local actors and state representatives, the project will be guided by four principle objectives to offer:
• A socio-historical analysis of state violence in the borderlands of the Middle East;
• An examination of the capacity of border populations to create the history of the borderlands, nation-states, and the region as a whole;
• A study of the frontier effects based around the notions of subjectivity, space and time, and involving various levels of observation (macro, meso and micro) in order to identify the ruptures and continuities evoked by the delineation of new borderlines; and
• A historical lens through which to make sense of current events in Syria and Iraq, and possibly orient conflict-resolution practitioners.
Through the exploitation of a wide range of sources (diplomatic, administrative and military records, missionary documents, newspapers) and by looking at the social construction of international frontiers at the borderlands located between Turkey, Iraq and Syria in the interwar era, the research project will provide a much more holistic yet finely-grained understanding of the formation of the territorial state in the region in the aftermath of the First World War as well as a historical perspective on the on-going armed conflicts.
Max ERC Funding
1 997 675 €
Duration
Start date: 2017-09-01, End date: 2022-08-31
Project acronym BRAINBELIEFS
Project Proving or improving yourself: longitudinal effects of ability beliefs on neural feedback processing and school outcomes
Researcher (PI) Nienke VAN ATTEVELDT
Host Institution (HI) STICHTING VU
Call Details Starting Grant (StG), SH4, ERC-2016-STG
Summary To successfully complete secondary education, persistent learning behavior is essential. Why are some adolescents more resilient to setbacks at school than others? In addition to actual ability, students’ implicit beliefs about the nature of their abilities have major impact on their motivation and achievements. Ability beliefs range from viewing abilities as “entities” that cannot be improved much by effort (entity beliefs), to believing that they are incremental with effort and time (incremental beliefs). Importantly, ability beliefs shape which goals a student pursues at school; proving themselves (performance goals) or improving themselves (learning goals). The central aims of the proposal are to unravel 1) the underlying processing mechanisms of how beliefs and goals shape resilience to setbacks at school and 2) how to influence these mechanisms to stimulate persistent learning behavior.
Functional brain research, including my own, has revealed the profound top-down influence of goals on selective information processing. Goals may thus determine which learning-related information is attended. Project 1 jointly investigates the essential psychological and neurobiological processes to unravel the longitudinal effects of beliefs and goals on how the brain prioritizes information during learning, and how this relates to school outcomes. Project 2 reveals how to influence this interplay with the aim to long-lastingly stimulate persistent learning behavior. I will move beyond existing approaches by introducing a novel intervention in which students experience their own learning-related brain activity and its malleability.
The results will demonstrate how ability beliefs and goals shape functional brain development and school outcomes during adolescence, and how we can optimally stimulate this interplay. The research has high scientific impact as it bridges multiple disciplines and thereby provides a strong impulse to the emerging field of educational neuroscience.
Summary
To successfully complete secondary education, persistent learning behavior is essential. Why are some adolescents more resilient to setbacks at school than others? In addition to actual ability, students’ implicit beliefs about the nature of their abilities have major impact on their motivation and achievements. Ability beliefs range from viewing abilities as “entities” that cannot be improved much by effort (entity beliefs), to believing that they are incremental with effort and time (incremental beliefs). Importantly, ability beliefs shape which goals a student pursues at school; proving themselves (performance goals) or improving themselves (learning goals). The central aims of the proposal are to unravel 1) the underlying processing mechanisms of how beliefs and goals shape resilience to setbacks at school and 2) how to influence these mechanisms to stimulate persistent learning behavior.
Functional brain research, including my own, has revealed the profound top-down influence of goals on selective information processing. Goals may thus determine which learning-related information is attended. Project 1 jointly investigates the essential psychological and neurobiological processes to unravel the longitudinal effects of beliefs and goals on how the brain prioritizes information during learning, and how this relates to school outcomes. Project 2 reveals how to influence this interplay with the aim to long-lastingly stimulate persistent learning behavior. I will move beyond existing approaches by introducing a novel intervention in which students experience their own learning-related brain activity and its malleability.
The results will demonstrate how ability beliefs and goals shape functional brain development and school outcomes during adolescence, and how we can optimally stimulate this interplay. The research has high scientific impact as it bridges multiple disciplines and thereby provides a strong impulse to the emerging field of educational neuroscience.
Max ERC Funding
1 597 291 €
Duration
Start date: 2017-03-01, End date: 2022-02-28
Project acronym BRAINCODES
Project Brain networks controlling social decisions
Researcher (PI) Christian Carl RUFF
Host Institution (HI) UNIVERSITAT ZURICH
Call Details Consolidator Grant (CoG), SH4, ERC-2016-COG
Summary Successful social interactions require social decision making, the ability to guide our actions in line with the goals and expectations of the people around us. Disordered social decision making – e.g., associated with criminal activity or psychiatric illnesses – poses significant financial and personal challenges to society. However, the brain mechanisms that enable us to control our social behavior are far from being understood. Here I will take decisive steps towards a causal understanding of these mechanisms by elucidating the role of functional interactions in the brain networks responsible for steering strategic, prosocial, and norm-compliant behavior. I will employ a unique multi-method approach that integrates computational modeling of social decisions with new combinations of multimodal neuroimaging and brain stimulation methods. Using EEG-fMRI, I will first identify spatio-temporal patterns of functional interactions between brain areas that correlate with social decision processes as identified by computational modeling of behavior in different economic games. In combined brain stimulation-fMRI studies, I will then attempt to affect – and in fact enhance – these social decision-making processes by modulating the identified brain network patterns with novel, targeted brain stimulation protocols and measuring the resulting effects on behavior and brain activity. Finally, I will examine whether the identified brain network mechanisms are indeed related to disturbed social decisions in two psychiatric illnesses characterized by maladaptive social behavior (post-traumatic stress disorder and autism spectrum disorder). My proposed work plan will generate a causal understanding of the brain network mechanisms that allow humans to control their social decisions, thereby elucidating a biological basis for individual differences in social behavior and paving the way for new perspectives on how disordered social behavior may be identified and hopefully remedied.
Summary
Successful social interactions require social decision making, the ability to guide our actions in line with the goals and expectations of the people around us. Disordered social decision making – e.g., associated with criminal activity or psychiatric illnesses – poses significant financial and personal challenges to society. However, the brain mechanisms that enable us to control our social behavior are far from being understood. Here I will take decisive steps towards a causal understanding of these mechanisms by elucidating the role of functional interactions in the brain networks responsible for steering strategic, prosocial, and norm-compliant behavior. I will employ a unique multi-method approach that integrates computational modeling of social decisions with new combinations of multimodal neuroimaging and brain stimulation methods. Using EEG-fMRI, I will first identify spatio-temporal patterns of functional interactions between brain areas that correlate with social decision processes as identified by computational modeling of behavior in different economic games. In combined brain stimulation-fMRI studies, I will then attempt to affect – and in fact enhance – these social decision-making processes by modulating the identified brain network patterns with novel, targeted brain stimulation protocols and measuring the resulting effects on behavior and brain activity. Finally, I will examine whether the identified brain network mechanisms are indeed related to disturbed social decisions in two psychiatric illnesses characterized by maladaptive social behavior (post-traumatic stress disorder and autism spectrum disorder). My proposed work plan will generate a causal understanding of the brain network mechanisms that allow humans to control their social decisions, thereby elucidating a biological basis for individual differences in social behavior and paving the way for new perspectives on how disordered social behavior may be identified and hopefully remedied.
Max ERC Funding
1 999 991 €
Duration
Start date: 2017-09-01, End date: 2022-08-31