Project acronym 15CBOOKTRADE
Project The 15th-century Book Trade: An Evidence-based Assessment and Visualization of the Distribution, Sale, and Reception of Books in the Renaissance
Researcher (PI) Cristina Dondi
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Call Details Consolidator Grant (CoG), SH6, ERC-2013-CoG
Summary The idea that underpins this project is to use the material evidence from thousands of surviving 15th-c. books, as well as unique documentary evidence — the unpublished ledger of a Venetian bookseller in the 1480s which records the sale of 25,000 printed books with their prices — to address four fundamental questions relating to the introduction of printing in the West which have so far eluded scholarship, partly because of lack of evidence, partly because of the lack of effective tools to deal with existing evidence. The book trade differs from other trades operating in the medieval and early modern periods in that the goods traded survive in considerable numbers. Not only do they survive, but many of them bear stratified evidence of their history in the form of marks of ownership, prices, manuscript annotations, binding and decoration styles. A British Academy pilot project conceived by the PI produced a now internationally-used database which gathers together this kind of evidence for thousands of surviving 15th-c. printed books. For the first time, this makes it possible to track the circulation of books, their trade routes and later collecting, across Europe and the USA, and throughout the centuries. The objectives of this project are to examine (1) the distribution and trade-routes, national and international, of 15th-c. printed books, along with the identity of the buyers and users (private, institutional, religious, lay, female, male, and by profession) and their reading practices; (2) the books' contemporary market value; (3) the transmission and dissemination of the texts they contain, their survival and their loss (rebalancing potentially skewed scholarship); and (4) the circulation and re-use of the illustrations they contain. Finally, the project will experiment with the application of scientific visualization techniques to represent, geographically and chronologically, the movement of 15th-c. printed books and of the texts they contain.
Summary
The idea that underpins this project is to use the material evidence from thousands of surviving 15th-c. books, as well as unique documentary evidence — the unpublished ledger of a Venetian bookseller in the 1480s which records the sale of 25,000 printed books with their prices — to address four fundamental questions relating to the introduction of printing in the West which have so far eluded scholarship, partly because of lack of evidence, partly because of the lack of effective tools to deal with existing evidence. The book trade differs from other trades operating in the medieval and early modern periods in that the goods traded survive in considerable numbers. Not only do they survive, but many of them bear stratified evidence of their history in the form of marks of ownership, prices, manuscript annotations, binding and decoration styles. A British Academy pilot project conceived by the PI produced a now internationally-used database which gathers together this kind of evidence for thousands of surviving 15th-c. printed books. For the first time, this makes it possible to track the circulation of books, their trade routes and later collecting, across Europe and the USA, and throughout the centuries. The objectives of this project are to examine (1) the distribution and trade-routes, national and international, of 15th-c. printed books, along with the identity of the buyers and users (private, institutional, religious, lay, female, male, and by profession) and their reading practices; (2) the books' contemporary market value; (3) the transmission and dissemination of the texts they contain, their survival and their loss (rebalancing potentially skewed scholarship); and (4) the circulation and re-use of the illustrations they contain. Finally, the project will experiment with the application of scientific visualization techniques to represent, geographically and chronologically, the movement of 15th-c. printed books and of the texts they contain.
Max ERC Funding
1 999 172 €
Duration
Start date: 2014-04-01, End date: 2019-03-31
Project acronym A-BINGOS
Project Accreting binary populations in Nearby Galaxies: Observations and Simulations
Researcher (PI) Andreas Zezas
Host Institution (HI) IDRYMA TECHNOLOGIAS KAI EREVNAS
Call Details Consolidator Grant (CoG), PE9, ERC-2013-CoG
Summary "High-energy observations of our Galaxy offer a good, albeit not complete, picture of the X-ray source populations, in particular the accreting binary sources. Recent ability to study accreting binaries in nearby galaxies has shown that we would be short-sighted if we restricted ourselves to our Galaxy or to a few nearby ones. I propose an ambitious project that involves a comprehensive study of all the galaxies within 10 Mpc for which we can study in detail their X-ray sources and stellar populations. The study will combine data from a unique suite of observatories (Chandra, XMM-Newton, HST, Spitzer) with state-of-the-art theoretical modelling of binary systems. I propose a novel approach that links the accreting binary populations to their parent stellar populations and surpasses any current studies of X-ray binary populations, both in scale and in scope, by: (a) combining methods and results from several different areas of astrophysics (compact objects, binary systems, stellar populations, galaxy evolution); (b) using data from almost the whole electromagnetic spectrum (infrared to X-ray bands); (c) identifying and studying the different sub-populations of accreting binaries; and (d) performing direct comparison between observations and theoretical predictions, over a broad parameter space. The project: (a) will answer the long-standing question of the formation efficiency of accreting binaries in different environments; and (b) will constrain their evolutionary paths. As by-products the project will provide eagerly awaited input to the fields of gravitational-wave sources, γ-ray bursts, and X-ray emitting galaxies at cosmological distances and it will produce a heritage multi-wavelength dataset and library of models for future studies of galaxies and accreting binaries."
Summary
"High-energy observations of our Galaxy offer a good, albeit not complete, picture of the X-ray source populations, in particular the accreting binary sources. Recent ability to study accreting binaries in nearby galaxies has shown that we would be short-sighted if we restricted ourselves to our Galaxy or to a few nearby ones. I propose an ambitious project that involves a comprehensive study of all the galaxies within 10 Mpc for which we can study in detail their X-ray sources and stellar populations. The study will combine data from a unique suite of observatories (Chandra, XMM-Newton, HST, Spitzer) with state-of-the-art theoretical modelling of binary systems. I propose a novel approach that links the accreting binary populations to their parent stellar populations and surpasses any current studies of X-ray binary populations, both in scale and in scope, by: (a) combining methods and results from several different areas of astrophysics (compact objects, binary systems, stellar populations, galaxy evolution); (b) using data from almost the whole electromagnetic spectrum (infrared to X-ray bands); (c) identifying and studying the different sub-populations of accreting binaries; and (d) performing direct comparison between observations and theoretical predictions, over a broad parameter space. The project: (a) will answer the long-standing question of the formation efficiency of accreting binaries in different environments; and (b) will constrain their evolutionary paths. As by-products the project will provide eagerly awaited input to the fields of gravitational-wave sources, γ-ray bursts, and X-ray emitting galaxies at cosmological distances and it will produce a heritage multi-wavelength dataset and library of models for future studies of galaxies and accreting binaries."
Max ERC Funding
1 242 000 €
Duration
Start date: 2014-04-01, End date: 2019-03-31
Project acronym ADaPt
Project Adaptation, Dispersals and Phenotype: understanding the roles of climate,
natural selection and energetics in shaping global hunter-gatherer adaptability
Researcher (PI) Jay Stock
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Call Details Consolidator Grant (CoG), SH6, ERC-2013-CoG
Summary Relative to other species, humans are characterised by considerable biological diversity despite genetic homogeneity. This diversity is reflected in skeletal variation, but we lack sufficient understanding of the underlying mechanisms to adequately interpret the archaeological record. The proposed research will address problems in our current understanding of the origins of human variation in the past by: 1) documenting and interpreting the pattern of global hunter-gatherer variation relative to genetic phylogenies and climatic variation; 2) testing the relationship between environmental and skeletal variation among genetically related hunter-gatherers from different environments; 3) examining the adaptability of living humans to different environments, through the study of energetic expenditure and life history trade-offs associated with locomotion; and 4) investigating the relationship between muscle and skeletal variation associated with locomotion in diverse environments. This will be achieved by linking: a) detailed study of the global pattern of hunter-gatherer variation in the Late Pleistocene and Holocene with; b) ground-breaking experimental research which tests the relationship between energetic stress, muscle function, and bone variation in living humans. The first component tests the correspondence between skeletal variation and both genetic and climatic history, to infer mechanisms driving variation. The second component integrates this skeletal variation with experimental studies of living humans to, for the first time, directly test adaptive implications of skeletal variation observed in the past. ADaPt will provide the first links between prehistoric hunter-gatherer variation and the evolutionary parameters of life history and energetics that may have shaped our success as a species. It will lead to breakthroughs necessary to interpret variation in the archaeological record, relative to human dispersals and adaptation in the past.
Summary
Relative to other species, humans are characterised by considerable biological diversity despite genetic homogeneity. This diversity is reflected in skeletal variation, but we lack sufficient understanding of the underlying mechanisms to adequately interpret the archaeological record. The proposed research will address problems in our current understanding of the origins of human variation in the past by: 1) documenting and interpreting the pattern of global hunter-gatherer variation relative to genetic phylogenies and climatic variation; 2) testing the relationship between environmental and skeletal variation among genetically related hunter-gatherers from different environments; 3) examining the adaptability of living humans to different environments, through the study of energetic expenditure and life history trade-offs associated with locomotion; and 4) investigating the relationship between muscle and skeletal variation associated with locomotion in diverse environments. This will be achieved by linking: a) detailed study of the global pattern of hunter-gatherer variation in the Late Pleistocene and Holocene with; b) ground-breaking experimental research which tests the relationship between energetic stress, muscle function, and bone variation in living humans. The first component tests the correspondence between skeletal variation and both genetic and climatic history, to infer mechanisms driving variation. The second component integrates this skeletal variation with experimental studies of living humans to, for the first time, directly test adaptive implications of skeletal variation observed in the past. ADaPt will provide the first links between prehistoric hunter-gatherer variation and the evolutionary parameters of life history and energetics that may have shaped our success as a species. It will lead to breakthroughs necessary to interpret variation in the archaeological record, relative to human dispersals and adaptation in the past.
Max ERC Funding
1 911 485 €
Duration
Start date: 2014-07-01, End date: 2019-06-30
Project acronym ALUNIF
Project Algorithms and Lower Bounds: A Unified Approach
Researcher (PI) Rahul Santhanam
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Call Details Consolidator Grant (CoG), PE6, ERC-2013-CoG
Summary One of the fundamental goals of theoretical computer science is to
understand the possibilities and limits of efficient computation. This
quest has two dimensions. The
theory of algorithms focuses on finding efficient solutions to
problems, while computational complexity theory aims to understand when
and why problems are hard to solve. These two areas have different
philosophies and use different sets of techniques. However, in recent
years there have been indications of deep and mysterious connections
between them.
In this project, we propose to explore and develop the connections between
algorithmic analysis and complexity lower bounds in a systematic way.
On the one hand, we plan to use complexity lower bound techniques as inspiration
to design new and improved algorithms for Satisfiability and other
NP-complete problems, as well as to analyze existing algorithms better.
On the other hand, we plan to strengthen implications yielding circuit
lower bounds from non-trivial algorithms for Satisfiability, and to derive
new circuit lower bounds using these stronger implications.
This project has potential for massive impact in both the areas of algorithms
and computational complexity. Improved algorithms for Satisfiability could lead
to improved SAT solvers, and the new analytical tools would lead to a better
understanding of existing heuristics. Complexity lower bound questions are
fundamental
but notoriously difficult, and new lower bounds would open the way to
unconditionally secure cryptographic protocols and derandomization of
probabilistic algorithms. More broadly, this project aims to initiate greater
dialogue between the two areas, with an exchange of ideas and techniques
which leads to accelerated progress in both, as well as a deeper understanding
of the nature of efficient computation.
Summary
One of the fundamental goals of theoretical computer science is to
understand the possibilities and limits of efficient computation. This
quest has two dimensions. The
theory of algorithms focuses on finding efficient solutions to
problems, while computational complexity theory aims to understand when
and why problems are hard to solve. These two areas have different
philosophies and use different sets of techniques. However, in recent
years there have been indications of deep and mysterious connections
between them.
In this project, we propose to explore and develop the connections between
algorithmic analysis and complexity lower bounds in a systematic way.
On the one hand, we plan to use complexity lower bound techniques as inspiration
to design new and improved algorithms for Satisfiability and other
NP-complete problems, as well as to analyze existing algorithms better.
On the other hand, we plan to strengthen implications yielding circuit
lower bounds from non-trivial algorithms for Satisfiability, and to derive
new circuit lower bounds using these stronger implications.
This project has potential for massive impact in both the areas of algorithms
and computational complexity. Improved algorithms for Satisfiability could lead
to improved SAT solvers, and the new analytical tools would lead to a better
understanding of existing heuristics. Complexity lower bound questions are
fundamental
but notoriously difficult, and new lower bounds would open the way to
unconditionally secure cryptographic protocols and derandomization of
probabilistic algorithms. More broadly, this project aims to initiate greater
dialogue between the two areas, with an exchange of ideas and techniques
which leads to accelerated progress in both, as well as a deeper understanding
of the nature of efficient computation.
Max ERC Funding
1 274 496 €
Duration
Start date: 2014-03-01, End date: 2019-02-28
Project acronym ARITHMUS
Project Peopling Europe: How data make a people
Researcher (PI) Evelyn Sharon Ruppert
Host Institution (HI) GOLDSMITHS' COLLEGE
Call Details Consolidator Grant (CoG), SH3, ERC-2013-CoG
Summary Who are the people of Europe? This question is facing statisticians as they grapple with standardising national census methods so that their numbers can be assembled into a European population. Yet, by so doing—intentionally or otherwise—they also contribute to the making of a European people. This, at least, is the central thesis of ARITHMUS. While typically framed as a methodological or statistical problem, the project approaches this as a practical and political problem of assembling multiple national populations into a European population and people.
Why is this both an urgent political and practical problem? Politically, Europe is said to be unable to address itself to a constituted polity and people, which is crucial to European integration. Practically, its efforts to constitute a European population are also being challenged by digital technologies, which are being used to diversify census methods and bringing into question the comparability of national population data. Consequently, over the next several years Eurostat and national statistical institutes are negotiating regulations for the 2020 census round towards ensuring 'Europe-wide comparability.'
ARITHMUS will follow this process and investigate the practices of statisticians as they juggle scientific independence, national autonomy and EU comparability to innovate census methods. It will then connect this practical work to political questions of the making and governing of a European people and polity. It will do so by going beyond state-of-the art scholarship on methods, politics and science and technology studies. Five case studies involving discourse analysis and ethnographic methods will investigate the situated practices of EU and national statisticians as they remake census methods, arguably the most fundamental changes since modern censuses were launched over two centuries ago. At the same time it will attend to how these practices affect the constitution of who are the people of Europe.
Summary
Who are the people of Europe? This question is facing statisticians as they grapple with standardising national census methods so that their numbers can be assembled into a European population. Yet, by so doing—intentionally or otherwise—they also contribute to the making of a European people. This, at least, is the central thesis of ARITHMUS. While typically framed as a methodological or statistical problem, the project approaches this as a practical and political problem of assembling multiple national populations into a European population and people.
Why is this both an urgent political and practical problem? Politically, Europe is said to be unable to address itself to a constituted polity and people, which is crucial to European integration. Practically, its efforts to constitute a European population are also being challenged by digital technologies, which are being used to diversify census methods and bringing into question the comparability of national population data. Consequently, over the next several years Eurostat and national statistical institutes are negotiating regulations for the 2020 census round towards ensuring 'Europe-wide comparability.'
ARITHMUS will follow this process and investigate the practices of statisticians as they juggle scientific independence, national autonomy and EU comparability to innovate census methods. It will then connect this practical work to political questions of the making and governing of a European people and polity. It will do so by going beyond state-of-the art scholarship on methods, politics and science and technology studies. Five case studies involving discourse analysis and ethnographic methods will investigate the situated practices of EU and national statisticians as they remake census methods, arguably the most fundamental changes since modern censuses were launched over two centuries ago. At the same time it will attend to how these practices affect the constitution of who are the people of Europe.
Max ERC Funding
1 833 649 €
Duration
Start date: 2014-05-01, End date: 2019-04-30
Project acronym ASIBIA
Project Arctic sea ice, biogeochemistry and impacts on the atmosphere: Past, present, future
Researcher (PI) Roland Von Glasow
Host Institution (HI) UNIVERSITY OF EAST ANGLIA
Call Details Consolidator Grant (CoG), PE10, ERC-2013-CoG
Summary The Arctic Ocean is a vast expanse of sea ice. Most of it is snow covered as are large continental regions for about half of the year. However, Global Change is arguably greatest in the Arctic, where temperatures have risen more than anywhere else in the last few decades. New record lows occurred in snow extent in June 2012 and sea ice extent in September 2012. Many observations show that widespread and sustained change is occurring in the Arctic driving this unique environmental system into a new state. This project focuses on the biogeochemical links between sea ice and snow and the composition and chemistry of the troposphere (the lowest ~10km of the atmosphere). This is an important topic because the concentrations of greenhouse gases and aerosol particles, which scatter sunlight directly and influence cloud properties, play key roles for our climate. Additionally, changes in the composition of the troposphere also affect the so-called oxidation capacity, the capability of the atmosphere to cleanse itself from pollutants.
This project aims to deliver a step change improvement in our quantitative understanding of chemical exchanges between ocean, sea ice, snow and the atmosphere in polar regions, especially the Arctic and of Arctic tropospheric chemistry. Answering these fundamental questions is essential to predict future change in the Arctic and globally. To this end a unique sea ice chamber will be constructed in the laboratory and used to quantify exchange processes in sea ice. Furthermore a hierarchy of numerical models will be used, operating at different spatial and temporal scales and degree of process description from a very detailed 1D to a global Earth System model. This will allow a breakthrough in our understanding of the importance of the changes for the composition and oxidation capacity of the atmosphere and climate and will allow us to calculate adjusted Greenhouse Warming Potentials that include these processes.
Summary
The Arctic Ocean is a vast expanse of sea ice. Most of it is snow covered as are large continental regions for about half of the year. However, Global Change is arguably greatest in the Arctic, where temperatures have risen more than anywhere else in the last few decades. New record lows occurred in snow extent in June 2012 and sea ice extent in September 2012. Many observations show that widespread and sustained change is occurring in the Arctic driving this unique environmental system into a new state. This project focuses on the biogeochemical links between sea ice and snow and the composition and chemistry of the troposphere (the lowest ~10km of the atmosphere). This is an important topic because the concentrations of greenhouse gases and aerosol particles, which scatter sunlight directly and influence cloud properties, play key roles for our climate. Additionally, changes in the composition of the troposphere also affect the so-called oxidation capacity, the capability of the atmosphere to cleanse itself from pollutants.
This project aims to deliver a step change improvement in our quantitative understanding of chemical exchanges between ocean, sea ice, snow and the atmosphere in polar regions, especially the Arctic and of Arctic tropospheric chemistry. Answering these fundamental questions is essential to predict future change in the Arctic and globally. To this end a unique sea ice chamber will be constructed in the laboratory and used to quantify exchange processes in sea ice. Furthermore a hierarchy of numerical models will be used, operating at different spatial and temporal scales and degree of process description from a very detailed 1D to a global Earth System model. This will allow a breakthrough in our understanding of the importance of the changes for the composition and oxidation capacity of the atmosphere and climate and will allow us to calculate adjusted Greenhouse Warming Potentials that include these processes.
Max ERC Funding
1 192 911 €
Duration
Start date: 2014-05-01, End date: 2016-09-30
Project acronym BIGBAYES
Project Rich, Structured and Efficient Learning of Big Bayesian Models
Researcher (PI) Yee Whye Teh
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Call Details Consolidator Grant (CoG), PE6, ERC-2013-CoG
Summary As datasets grow ever larger in scale, complexity and variety, there is an increasing need for powerful machine learning and statistical techniques that are capable of learning from such data. Bayesian nonparametrics is a promising approach to data analysis that is increasingly popular in machine learning and statistics. Bayesian nonparametric models are highly flexible models with infinite-dimensional parameter spaces that can be used to directly parameterise and learn about functions, densities, conditional distributions etc, and have been successfully applied to regression, survival analysis, language modelling, time series analysis, and visual scene analysis among others. However, to successfully use Bayesian nonparametric models to analyse the high-dimensional and structured datasets now commonly encountered in the age of Big Data, we will have to overcome a number of challenges. Namely, we need to develop Bayesian nonparametric models that can learn rich representations from structured data, and we need computational methodologies that can scale effectively to the large and complex models of the future. We will ground our developments in relevant applications, particularly to natural language processing (learning distributed representations for language modelling and compositional semantics) and genetics (modelling genetic variations arising from population, genealogical and spatial structures).
Summary
As datasets grow ever larger in scale, complexity and variety, there is an increasing need for powerful machine learning and statistical techniques that are capable of learning from such data. Bayesian nonparametrics is a promising approach to data analysis that is increasingly popular in machine learning and statistics. Bayesian nonparametric models are highly flexible models with infinite-dimensional parameter spaces that can be used to directly parameterise and learn about functions, densities, conditional distributions etc, and have been successfully applied to regression, survival analysis, language modelling, time series analysis, and visual scene analysis among others. However, to successfully use Bayesian nonparametric models to analyse the high-dimensional and structured datasets now commonly encountered in the age of Big Data, we will have to overcome a number of challenges. Namely, we need to develop Bayesian nonparametric models that can learn rich representations from structured data, and we need computational methodologies that can scale effectively to the large and complex models of the future. We will ground our developments in relevant applications, particularly to natural language processing (learning distributed representations for language modelling and compositional semantics) and genetics (modelling genetic variations arising from population, genealogical and spatial structures).
Max ERC Funding
1 918 092 €
Duration
Start date: 2014-05-01, End date: 2019-04-30
Project acronym CAREGIVING
Project The plasticity of parental caregiving: characterizing the brain mechanisms underlying normal and disrupted development of parenting
Researcher (PI) Morten Lindtner Kringelbach
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Call Details Consolidator Grant (CoG), SH4, ERC-2013-CoG
Summary The survival of species depends critically on infant survival and development. Human infants are, however, vulnerable and completely dependent on caregiving parents, not just for survival but also for their development. Darwin and Lorenz have long argued that there are specific infant facial features that elicit attention and responsiveness in adults. Until recently this has not been possible to study but neuroimaging has started to reveal some of the brain circuitry. However, it is not known how the brain changes over time in new parents as they gain experience with caregiving. Equally, little is known about the underlying brain mechanisms associated with disruption to normal parental caregiving.
I propose to study the brain changes associated with normal and disrupted development of parental caregiving in new parents who will undergo neuroimaging and psychological testing using standardised databases and test batteries of caregiving tasks. Subproject 1 will investigate the normal development of parental caregiving, beginning before pregnancy, using a longitudinal study of structural and functional brain changes in both women and men combined with their behavioural measures on caregiving tasks.
Subproject 2 will investigate the disrupted development of parental caregiving using a cross-sectional design to study the brain and behavioural effects on caregiving during potential disruptive changes to the parent or child. Specifically, my focus will be on A) parental sleep disruption and B) infant craniofacial abnormality of cleft lip and palate.
Finally, understanding the full brain mechanisms and architecture underlying parental caregiving requires a mechanistic synthesis of the findings of normal and disrupted development. Subproject 3 will use our existing advanced computational models to combine the findings from normal and disrupted development in order to identify the fundamental brain mechanisms and networks underlying the development of parenting.
Summary
The survival of species depends critically on infant survival and development. Human infants are, however, vulnerable and completely dependent on caregiving parents, not just for survival but also for their development. Darwin and Lorenz have long argued that there are specific infant facial features that elicit attention and responsiveness in adults. Until recently this has not been possible to study but neuroimaging has started to reveal some of the brain circuitry. However, it is not known how the brain changes over time in new parents as they gain experience with caregiving. Equally, little is known about the underlying brain mechanisms associated with disruption to normal parental caregiving.
I propose to study the brain changes associated with normal and disrupted development of parental caregiving in new parents who will undergo neuroimaging and psychological testing using standardised databases and test batteries of caregiving tasks. Subproject 1 will investigate the normal development of parental caregiving, beginning before pregnancy, using a longitudinal study of structural and functional brain changes in both women and men combined with their behavioural measures on caregiving tasks.
Subproject 2 will investigate the disrupted development of parental caregiving using a cross-sectional design to study the brain and behavioural effects on caregiving during potential disruptive changes to the parent or child. Specifically, my focus will be on A) parental sleep disruption and B) infant craniofacial abnormality of cleft lip and palate.
Finally, understanding the full brain mechanisms and architecture underlying parental caregiving requires a mechanistic synthesis of the findings of normal and disrupted development. Subproject 3 will use our existing advanced computational models to combine the findings from normal and disrupted development in order to identify the fundamental brain mechanisms and networks underlying the development of parenting.
Max ERC Funding
1 997 121 €
Duration
Start date: 2014-05-01, End date: 2019-04-30
Project acronym CARP
Project "Making Selves, Making Revolutions: Comparative Anthropologies of Revolutionary Politics"
Researcher (PI) Martin Holbraad
Host Institution (HI) UNIVERSITY COLLEGE LONDON
Call Details Consolidator Grant (CoG), SH2, ERC-2013-CoG
Summary "What kinds of self does it take to make a revolution? And how does revolutionary politics, understood as a project of personal as much as political transformation, articulate with other processes of self-making, such as religious practices? Comparative Anthropologies of Revolutionary Politics (CARP) seeks fundamentally to recast our understanding of revolutions, using their relationship to religious practices in diverse social and cultural settings as a lens through which to reveal revolutions’ varied capacities for self-making. Developing a comparative matrix of revolutionary settings in the Middle East, Latin America and elsewhere, CARP’s core objective is to investigate the differing permutations and dynamics of revolutionary ‘anthropologies’ in the original theological sense of the term, i.e. charting revolutionary politics in relation to varying conceptions of what it is to be human, and of how the horizons of people’s lives are to be understood in relation to divine orders of different kinds, in order to reveal how revolutions come to define what persons may be, deliberately setting the social, political, cultural and ultimately ontological coordinates within which people are made who they are. Bringing close ethnographic investigation to bear on conceptions of revolution, statecraft, and subjectivity in political theory, CARP will produce comprehensive political ethnographies of nine major case-studies, comparing systematically the relationship between revolution and religion in a selection of countries in the Middle East and Latin America. Four smaller-scale case-studies from Europe and Asia will add complementary dimensions to this comparative matrix. Providing much-needed empirical materials and analytical insight into the dynamic comingling of political and religious forms in the making of revolutionary selves, CARP’s ultimate ambition is to launch the comparative study of revolutionary politics as a major new departure for anthropological research."
Summary
"What kinds of self does it take to make a revolution? And how does revolutionary politics, understood as a project of personal as much as political transformation, articulate with other processes of self-making, such as religious practices? Comparative Anthropologies of Revolutionary Politics (CARP) seeks fundamentally to recast our understanding of revolutions, using their relationship to religious practices in diverse social and cultural settings as a lens through which to reveal revolutions’ varied capacities for self-making. Developing a comparative matrix of revolutionary settings in the Middle East, Latin America and elsewhere, CARP’s core objective is to investigate the differing permutations and dynamics of revolutionary ‘anthropologies’ in the original theological sense of the term, i.e. charting revolutionary politics in relation to varying conceptions of what it is to be human, and of how the horizons of people’s lives are to be understood in relation to divine orders of different kinds, in order to reveal how revolutions come to define what persons may be, deliberately setting the social, political, cultural and ultimately ontological coordinates within which people are made who they are. Bringing close ethnographic investigation to bear on conceptions of revolution, statecraft, and subjectivity in political theory, CARP will produce comprehensive political ethnographies of nine major case-studies, comparing systematically the relationship between revolution and religion in a selection of countries in the Middle East and Latin America. Four smaller-scale case-studies from Europe and Asia will add complementary dimensions to this comparative matrix. Providing much-needed empirical materials and analytical insight into the dynamic comingling of political and religious forms in the making of revolutionary selves, CARP’s ultimate ambition is to launch the comparative study of revolutionary politics as a major new departure for anthropological research."
Max ERC Funding
1 854 472 €
Duration
Start date: 2014-06-01, End date: 2019-05-31
Project acronym CAUSALPATH
Project Next Generation Causal Analysis: Inspired by the Induction of Biological Pathways from Cytometry Data
Researcher (PI) Ioannis Tsamardinos
Host Institution (HI) PANEPISTIMIO KRITIS
Call Details Consolidator Grant (CoG), PE6, ERC-2013-CoG
Summary Discovering the causal mechanisms of a complex system of interacting components is necessary in order to control it. Computational Causal Discovery (CD) is a field that offers the potential to discover causal relations under certain conditions from observational data alone or with a limited number of interventions/manipulations.
An important, challenging biological problem that may take decades of experimental work is the induction of biological cellular pathways; pathways are informal causal models indispensable in biological research and drug design. Recent exciting advances in flow/mass cytometry biotechnology allow the generation of large-sample datasets containing measurements on single cells, thus setting the problem of pathway learning suitable for CD methods.
CAUSALPATH builds upon and further advances recent breakthrough developments in CD methods to enable the induction of biological pathways from cytometry and other omics data. As a testbed problem we focus on the differentiation of human T-cells; these are involved in autoimmune and inflammatory diseases, as well as cancer and thus, are targets of new drug development for a range of chronic diseases. The biological problem acts as our campus for general novel formalisms, practical algorithms, and useful tools development, pointing to fundamental CD problems: presence of feedback cycles, presence of latent confounding variables, CD from time-course data, Integrative Causal Analysis (INCA) of heterogeneous datasets and others.
Three features complement CAUSALPATH’s approach: (A) methods development will co-evolve with biological wet-lab experiments periodically testing the algorithmic postulates, (B) Open-source tools will be developed for the non-expert, and (C) Commercial exploitation of the results will be sought out.
CAUSALPATH brings together an interdisciplinary team, committed to this vision. It builds upon the PI’s group recent important results on INCA algorithms.
Summary
Discovering the causal mechanisms of a complex system of interacting components is necessary in order to control it. Computational Causal Discovery (CD) is a field that offers the potential to discover causal relations under certain conditions from observational data alone or with a limited number of interventions/manipulations.
An important, challenging biological problem that may take decades of experimental work is the induction of biological cellular pathways; pathways are informal causal models indispensable in biological research and drug design. Recent exciting advances in flow/mass cytometry biotechnology allow the generation of large-sample datasets containing measurements on single cells, thus setting the problem of pathway learning suitable for CD methods.
CAUSALPATH builds upon and further advances recent breakthrough developments in CD methods to enable the induction of biological pathways from cytometry and other omics data. As a testbed problem we focus on the differentiation of human T-cells; these are involved in autoimmune and inflammatory diseases, as well as cancer and thus, are targets of new drug development for a range of chronic diseases. The biological problem acts as our campus for general novel formalisms, practical algorithms, and useful tools development, pointing to fundamental CD problems: presence of feedback cycles, presence of latent confounding variables, CD from time-course data, Integrative Causal Analysis (INCA) of heterogeneous datasets and others.
Three features complement CAUSALPATH’s approach: (A) methods development will co-evolve with biological wet-lab experiments periodically testing the algorithmic postulates, (B) Open-source tools will be developed for the non-expert, and (C) Commercial exploitation of the results will be sought out.
CAUSALPATH brings together an interdisciplinary team, committed to this vision. It builds upon the PI’s group recent important results on INCA algorithms.
Max ERC Funding
1 724 000 €
Duration
Start date: 2015-01-01, End date: 2019-12-31
