Project acronym ACQDIV
Project Acquisition processes in maximally diverse languages: Min(d)ing the ambient language
Researcher (PI) Sabine Erika Stoll
Host Institution (HI) UNIVERSITAT ZURICH
Call Details Consolidator Grant (CoG), SH4, ERC-2013-CoG
Summary "Children learn any language that they grow up with, adapting to any of the ca. 7000 languages of the world, no matter how divergent or complex their structures are. What cognitive processes make this extreme flexibility possible? This is one of the most burning questions in cognitive science and the ACQDIV project aims at answering it by testing and refining the following leading hypothesis: Language acquisition is flexible and adaptive to any kind of language because it relies on a small set of universal cognitive processes that variably target different structures at different times during acquisition in every language. The project aims at establishing the precise set of processes and at determining the conditions of variation across maximally diverse languages. This project focuses on three processes: (i) distributional learning, (ii) generalization-based learning and (iii) interaction-based learning. To investigate these processes I will work with a sample of five clusters of languages including longitudinal data of two languages each. The clusters were determined by a clustering algorithm seeking the structurally most divergent languages in a typological database. The languages are: Cluster 1: Slavey and Cree, Cluster 2: Indonesian and Yucatec, Cluster 3: Inuktitut and Chintang, Cluster 4: Sesotho and Russian, Cluster 5: Japanese and Turkish. For all languages, corpora are available, except for Slavey where fieldwork is planned. The leading hypothesis will be tested against the acquisition of aspect and negation in each language of the sample and also against the two structures in each language that are most salient and challenging in them (e. g. complex morphology in Chintang). The acquisition processes also depend on statistical patterns in the input children receive. I will examine these patterns across the sample with respect to repetitiveness effects, applying data-mining methods and systematically comparing child-directed and child-surrounding speech."
Summary
"Children learn any language that they grow up with, adapting to any of the ca. 7000 languages of the world, no matter how divergent or complex their structures are. What cognitive processes make this extreme flexibility possible? This is one of the most burning questions in cognitive science and the ACQDIV project aims at answering it by testing and refining the following leading hypothesis: Language acquisition is flexible and adaptive to any kind of language because it relies on a small set of universal cognitive processes that variably target different structures at different times during acquisition in every language. The project aims at establishing the precise set of processes and at determining the conditions of variation across maximally diverse languages. This project focuses on three processes: (i) distributional learning, (ii) generalization-based learning and (iii) interaction-based learning. To investigate these processes I will work with a sample of five clusters of languages including longitudinal data of two languages each. The clusters were determined by a clustering algorithm seeking the structurally most divergent languages in a typological database. The languages are: Cluster 1: Slavey and Cree, Cluster 2: Indonesian and Yucatec, Cluster 3: Inuktitut and Chintang, Cluster 4: Sesotho and Russian, Cluster 5: Japanese and Turkish. For all languages, corpora are available, except for Slavey where fieldwork is planned. The leading hypothesis will be tested against the acquisition of aspect and negation in each language of the sample and also against the two structures in each language that are most salient and challenging in them (e. g. complex morphology in Chintang). The acquisition processes also depend on statistical patterns in the input children receive. I will examine these patterns across the sample with respect to repetitiveness effects, applying data-mining methods and systematically comparing child-directed and child-surrounding speech."
Max ERC Funding
1 998 438 €
Duration
Start date: 2014-09-01, End date: 2019-08-31
Project acronym ActionContraThreat
Project Action selection under threat: the complex control of human defense
Researcher (PI) Dominik BACH
Host Institution (HI) UNIVERSITAT ZURICH
Call Details Consolidator Grant (CoG), SH4, ERC-2018-COG
Summary Run away, sidestep, duck-and-cover, watch: when under threat, humans immediately choreograph a large repertoire of defensive actions. Understanding action-selection under threat is important for anybody wanting to explain why anxiety disorders imply some of these behaviours in harmless situations. Current concepts of human defensive behaviour are largely derived from rodent research and focus on a small number of broad, cross-species, action tendencies. This is likely to underestimate the complexity of the underlying action-selection mechanisms. This research programme will take decisive steps to understand these psychological mechanisms and elucidate their neural implementation.
To elicit threat-related action in the laboratory, I will use virtual reality computer games with full body motion, and track actions with motion-capture technology. Based on a cognitive-computational framework, I will systematically characterise the space of actions under threat, investigate the psychological mechanisms by which actions are selected in different scenarios, and describe them with computational algorithms that allow quantitative predictions. To independently verify their neural implementation, I will use wearable magnetoencephalography (MEG) in freely moving subjects.
This proposal fills a lacuna between defence system concepts based on rodent research, emotion psychology, and clinical accounts of anxiety disorders. By combining a stringent experimental approach with the formalism of cognitive-computational psychology, it furnishes a unique opportunity to understand the mechanisms of action-selection under threat, and how these are distinct from more general-purpose action-selection systems. Beyond its immediate scope, the proposal has a potential to lead to a better understanding of anxiety disorders, and to pave the way towards improved diagnostics and therapies.
Summary
Run away, sidestep, duck-and-cover, watch: when under threat, humans immediately choreograph a large repertoire of defensive actions. Understanding action-selection under threat is important for anybody wanting to explain why anxiety disorders imply some of these behaviours in harmless situations. Current concepts of human defensive behaviour are largely derived from rodent research and focus on a small number of broad, cross-species, action tendencies. This is likely to underestimate the complexity of the underlying action-selection mechanisms. This research programme will take decisive steps to understand these psychological mechanisms and elucidate their neural implementation.
To elicit threat-related action in the laboratory, I will use virtual reality computer games with full body motion, and track actions with motion-capture technology. Based on a cognitive-computational framework, I will systematically characterise the space of actions under threat, investigate the psychological mechanisms by which actions are selected in different scenarios, and describe them with computational algorithms that allow quantitative predictions. To independently verify their neural implementation, I will use wearable magnetoencephalography (MEG) in freely moving subjects.
This proposal fills a lacuna between defence system concepts based on rodent research, emotion psychology, and clinical accounts of anxiety disorders. By combining a stringent experimental approach with the formalism of cognitive-computational psychology, it furnishes a unique opportunity to understand the mechanisms of action-selection under threat, and how these are distinct from more general-purpose action-selection systems. Beyond its immediate scope, the proposal has a potential to lead to a better understanding of anxiety disorders, and to pave the way towards improved diagnostics and therapies.
Max ERC Funding
1 998 750 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
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 AMADEUS
Project Advancing CO2 Capture Materials by Atomic Scale Design: the Quest for Understanding
Researcher (PI) Christoph Rüdiger MÜLLER
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Consolidator Grant (CoG), PE8, ERC-2018-COG
Summary Carbon dioxide capture and storage is a technology to mitigate climate change by removing CO2 from flue gas streams or the atmosphere and storing it in geological formations. While CO2 removal from natural gas by amine scrubbing is implemented on the large scale, the cost of such process is currently prohibitively expensive. Inexpensive alkali earth metal oxides (MgO and CaO) feature high theoretical CO2 uptakes, but suffer from poor cyclic stability and slow kinetics. Yet, the key objective of recent research on alkali earth metal oxide based CO2 sorbents has been the processing of inexpensive, naturally occurring CO2 sorbents, notably limestone and dolomite, to stabilize their modest CO2 uptake and to establish re-activation methods through engineering approaches. While this research demonstrated a landmark Megawatt (MW) scale viability of the process, our fundamental understanding of the underlying CO2 capture, regeneration and deactivation pathways did not improve. The latter knowledge is, however, vital for the rational design of improved, yet practical CaO and MgO sorbents. Hence this proposal is concerned with obtaining an understanding of the underlying mechanisms that control the ability of an alkali metal oxide to capture a large quantity of CO2 with a high rate, to regenerate and to operate with high cyclic stability. Achieving these aims relies on the ability to fabricate model structures and to characterize in great detail their surface chemistry, morphology, chemical composition and changes therein under reactive conditions. This makes the development of operando and in situ characterization tools an essential prerequisite. Advances in these areas shall allow achieving the overall goal of this project, viz. to formulate a roadmap to fabricate improved CO2 sorbents through their precisely engineered structure, composition and morphology.
Summary
Carbon dioxide capture and storage is a technology to mitigate climate change by removing CO2 from flue gas streams or the atmosphere and storing it in geological formations. While CO2 removal from natural gas by amine scrubbing is implemented on the large scale, the cost of such process is currently prohibitively expensive. Inexpensive alkali earth metal oxides (MgO and CaO) feature high theoretical CO2 uptakes, but suffer from poor cyclic stability and slow kinetics. Yet, the key objective of recent research on alkali earth metal oxide based CO2 sorbents has been the processing of inexpensive, naturally occurring CO2 sorbents, notably limestone and dolomite, to stabilize their modest CO2 uptake and to establish re-activation methods through engineering approaches. While this research demonstrated a landmark Megawatt (MW) scale viability of the process, our fundamental understanding of the underlying CO2 capture, regeneration and deactivation pathways did not improve. The latter knowledge is, however, vital for the rational design of improved, yet practical CaO and MgO sorbents. Hence this proposal is concerned with obtaining an understanding of the underlying mechanisms that control the ability of an alkali metal oxide to capture a large quantity of CO2 with a high rate, to regenerate and to operate with high cyclic stability. Achieving these aims relies on the ability to fabricate model structures and to characterize in great detail their surface chemistry, morphology, chemical composition and changes therein under reactive conditions. This makes the development of operando and in situ characterization tools an essential prerequisite. Advances in these areas shall allow achieving the overall goal of this project, viz. to formulate a roadmap to fabricate improved CO2 sorbents through their precisely engineered structure, composition and morphology.
Max ERC Funding
1 994 900 €
Duration
Start date: 2019-06-01, End date: 2024-05-31
Project acronym ARTIVISM
Project Art and Activism : Creativity and Performance as Subversive Forms of Political Expression in Super-Diverse Cities
Researcher (PI) Monika Salzbrunn
Host Institution (HI) UNIVERSITE DE LAUSANNE
Call Details Consolidator Grant (CoG), SH5, ERC-2015-CoG
Summary ARTIVISM aims at exploring new artistic forms of political expression under difficult, precarious and/or oppressive conditions. It asks how social actors create belonging and multiple forms of resistance when they use art in activism or activism in art. What kind of alliances do these two forms of social practices generate in super-diverse places, in times of crisis and in precarious situations? Thus, ARTIVISM seeks to understand how social actors engage artistically in order to bring about social, economic and political change. Going beyond former research in urban and migration studies, and beyond the anthropology of art, ARTIVISM focuses on a broad range of artistic tools, styles and means of expression, namely festive events and parades, cartoons and comics and street art. By articulating performance studies, street anthropology and the sociology of celebration with migration and diversity studies, the project challenges former concepts, which took stable social groups for granted and reified them with ethnic lenses. The applied methodology considerably renews the field by bringing together event-, actor- and condition-centred approaches and a multi-sensory framework. Besides its multidisciplinary design, the ground-breaking nature of ARTIVISM lies in the application of the core concepts of performativity and liminality, as well as in an examination of the way to advance and refine these concepts and to create new analytical tools to respond to recent social phenomena. We have developed and tested innovative methods that respond to a postmodern type of fluid and temporary social action: audio-visual ethnography, urban event ethnography, street ethnography, field-crossing, and sensory ethnography (apprenticeship). Therefore, ARTIVISM develops new methods and theories in order to introduce a multi-faceted trans-disciplinary approach to the study of an emerging field of social transformations that is of challenging significance to the social sciences.
Summary
ARTIVISM aims at exploring new artistic forms of political expression under difficult, precarious and/or oppressive conditions. It asks how social actors create belonging and multiple forms of resistance when they use art in activism or activism in art. What kind of alliances do these two forms of social practices generate in super-diverse places, in times of crisis and in precarious situations? Thus, ARTIVISM seeks to understand how social actors engage artistically in order to bring about social, economic and political change. Going beyond former research in urban and migration studies, and beyond the anthropology of art, ARTIVISM focuses on a broad range of artistic tools, styles and means of expression, namely festive events and parades, cartoons and comics and street art. By articulating performance studies, street anthropology and the sociology of celebration with migration and diversity studies, the project challenges former concepts, which took stable social groups for granted and reified them with ethnic lenses. The applied methodology considerably renews the field by bringing together event-, actor- and condition-centred approaches and a multi-sensory framework. Besides its multidisciplinary design, the ground-breaking nature of ARTIVISM lies in the application of the core concepts of performativity and liminality, as well as in an examination of the way to advance and refine these concepts and to create new analytical tools to respond to recent social phenomena. We have developed and tested innovative methods that respond to a postmodern type of fluid and temporary social action: audio-visual ethnography, urban event ethnography, street ethnography, field-crossing, and sensory ethnography (apprenticeship). Therefore, ARTIVISM develops new methods and theories in order to introduce a multi-faceted trans-disciplinary approach to the study of an emerging field of social transformations that is of challenging significance to the social sciences.
Max ERC Funding
1 999 287 €
Duration
Start date: 2016-09-01, End date: 2021-08-31
Project acronym AUTOMATION
Project AUTOMATION AND INCOME DISTRIBUTION: A QUANTITATIVE ASSESSMENT
Researcher (PI) David Hémous
Host Institution (HI) UNIVERSITAT ZURICH
Call Details Starting Grant (StG), SH1, ERC-2018-STG
Summary Since the invention of the spinning frame, automation has been one of the drivers of economic growth. Yet, workers, economist or the general public have been concerned that automation may destroy jobs or create inequality. This concern is particularly prevalent today with the sustained rise in economic inequality and fast technological progress in IT, robotics or self-driving cars. The empirical literature has showed the impact of automation on income distribution. Yet, the level of wages itself should also affect the incentives to undertake automation innovations. Understanding this feedback is key to assess the long-term effect of policies. My project aims to provide the first quantitative account of the two-way relationship between automation and the income distribution.
It is articulated around three parts. First, I will use patent data to study empirically the causal effect of wages on automation innovations. To do so, I will build firm-level variation in the wages of the customers of innovating firms by exploiting variations in firms’ exposure to international markets. Second, I will study empirically the causal effect of automation innovations on wages. There, I will focus on local labour market and use the patent data to build exogenous variations in local knowledge. Third, I will calibrate an endogenous growth model with firm dynamics and automation using Danish firm-level data. The model will replicate stylized facts on the labour share distribution across firms. It will be used to compute the contribution of automation to economic growth or the decline of the labour share. Moreover, as a whole, the project will use two different methods (regression analysis and calibrated model) and two different types of data, to answer questions of crucial policy importance such as: Taking into account the response of automation, what are the long-term effects on wages of an increase in the minimum wage, a reduction in labour costs, or a robot tax?
Summary
Since the invention of the spinning frame, automation has been one of the drivers of economic growth. Yet, workers, economist or the general public have been concerned that automation may destroy jobs or create inequality. This concern is particularly prevalent today with the sustained rise in economic inequality and fast technological progress in IT, robotics or self-driving cars. The empirical literature has showed the impact of automation on income distribution. Yet, the level of wages itself should also affect the incentives to undertake automation innovations. Understanding this feedback is key to assess the long-term effect of policies. My project aims to provide the first quantitative account of the two-way relationship between automation and the income distribution.
It is articulated around three parts. First, I will use patent data to study empirically the causal effect of wages on automation innovations. To do so, I will build firm-level variation in the wages of the customers of innovating firms by exploiting variations in firms’ exposure to international markets. Second, I will study empirically the causal effect of automation innovations on wages. There, I will focus on local labour market and use the patent data to build exogenous variations in local knowledge. Third, I will calibrate an endogenous growth model with firm dynamics and automation using Danish firm-level data. The model will replicate stylized facts on the labour share distribution across firms. It will be used to compute the contribution of automation to economic growth or the decline of the labour share. Moreover, as a whole, the project will use two different methods (regression analysis and calibrated model) and two different types of data, to answer questions of crucial policy importance such as: Taking into account the response of automation, what are the long-term effects on wages of an increase in the minimum wage, a reduction in labour costs, or a robot tax?
Max ERC Funding
1 295 890 €
Duration
Start date: 2018-11-01, End date: 2023-10-31
Project acronym BATMAN
Project Development of Quantitative Metrologies to Guide Lithium Ion Battery Manufacturing
Researcher (PI) Vanessa Wood
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Starting Grant (StG), PE8, ERC-2015-STG
Summary Lithium ion batteries offer tremendous potential as an enabling technology for sustainable transportation and development. However, their widespread usage as the energy storage solution for electric mobility and grid-level integration of renewables is impeded by the fact that current state-of-the-art lithium ion batteries have energy densities that are too small, charge- and discharge rates that are too low, and costs that are too high. Highly publicized instances of catastrophic failure of lithium ion batteries raise questions of safety. Understanding the limitations to battery performance and origins of the degradation and failure is highly complex due to the difficulties in studying interrelated processes that take place at different length and time scales in a corrosive environment. In the project, we will (1) develop and implement quantitative methods to study the complex interrelations between structure and electrochemistry occurring at the nano-, micron-, and milli-scales in lithium ion battery active materials and electrodes, (2) conduct systematic experimental studies with our new techniques to understand the origins of performance limitations and to develop design guidelines for achieving high performance and safe batteries, and (3) investigate economically viable engineering solutions based on these guidelines to achieve high performance and safe lithium ion batteries.
Summary
Lithium ion batteries offer tremendous potential as an enabling technology for sustainable transportation and development. However, their widespread usage as the energy storage solution for electric mobility and grid-level integration of renewables is impeded by the fact that current state-of-the-art lithium ion batteries have energy densities that are too small, charge- and discharge rates that are too low, and costs that are too high. Highly publicized instances of catastrophic failure of lithium ion batteries raise questions of safety. Understanding the limitations to battery performance and origins of the degradation and failure is highly complex due to the difficulties in studying interrelated processes that take place at different length and time scales in a corrosive environment. In the project, we will (1) develop and implement quantitative methods to study the complex interrelations between structure and electrochemistry occurring at the nano-, micron-, and milli-scales in lithium ion battery active materials and electrodes, (2) conduct systematic experimental studies with our new techniques to understand the origins of performance limitations and to develop design guidelines for achieving high performance and safe batteries, and (3) investigate economically viable engineering solutions based on these guidelines to achieve high performance and safe lithium ion batteries.
Max ERC Funding
1 500 000 €
Duration
Start date: 2016-05-01, End date: 2021-04-30
Project acronym BEHAVFRICTIONS
Project Behavioral Implications of Information-Processing Frictions
Researcher (PI) Jakub STEINER
Host Institution (HI) NARODOHOSPODARSKY USTAV AKADEMIE VED CESKE REPUBLIKY VEREJNA VYZKUMNA INSTITUCE
Call Details Consolidator Grant (CoG), SH1, ERC-2017-COG
Summary BEHAVFRICTIONS will use novel models focussing on information-processing frictions to explain choice patterns described in behavioral economics and psychology. The proposed research will provide microfoundations that are essential for (i) identification of stable preferences, (ii) counterfactual predictions, and (iii) normative conclusions.
(i) Agents who face information-processing costs must trade the precision of choice against information costs. Their behavior thus reflects both their stable preferences and the context-dependent procedures that manage their errors stemming from imperfect information processing. In the absence of micro-founded models, the two drivers of the behavior are difficult to disentangle for outside observers. In some pillars of the proposal, the agents follow choice rules that closely resemble logit rules used in structural estimation. This will allow me to reinterpret the structural estimation fits to choice data and to make a distinction between the stable preferences and frictions.
(ii) Such a distinction is important in counterfactual policy analysis because the second-best decision procedures that manage the errors in choice are affected by the analysed policy. Incorporation of the information-processing frictions into existing empirical methods will improve our ability to predict effects of the policies.
(iii) My preliminary results suggest that when an agent is prone to committing errors, biases--such as overconfidence, confirmatory bias, or perception biases known from prospect theory--arise under second-best strategies. By providing the link between the agent's environment and the second-best distribution of the perception errors, my models will delineate environments in which these biases shield the agents from the most costly mistakes from environments in which the biases turn into maladaptations. The distinction will inform the normative debate on debiasing.
Summary
BEHAVFRICTIONS will use novel models focussing on information-processing frictions to explain choice patterns described in behavioral economics and psychology. The proposed research will provide microfoundations that are essential for (i) identification of stable preferences, (ii) counterfactual predictions, and (iii) normative conclusions.
(i) Agents who face information-processing costs must trade the precision of choice against information costs. Their behavior thus reflects both their stable preferences and the context-dependent procedures that manage their errors stemming from imperfect information processing. In the absence of micro-founded models, the two drivers of the behavior are difficult to disentangle for outside observers. In some pillars of the proposal, the agents follow choice rules that closely resemble logit rules used in structural estimation. This will allow me to reinterpret the structural estimation fits to choice data and to make a distinction between the stable preferences and frictions.
(ii) Such a distinction is important in counterfactual policy analysis because the second-best decision procedures that manage the errors in choice are affected by the analysed policy. Incorporation of the information-processing frictions into existing empirical methods will improve our ability to predict effects of the policies.
(iii) My preliminary results suggest that when an agent is prone to committing errors, biases--such as overconfidence, confirmatory bias, or perception biases known from prospect theory--arise under second-best strategies. By providing the link between the agent's environment and the second-best distribution of the perception errors, my models will delineate environments in which these biases shield the agents from the most costly mistakes from environments in which the biases turn into maladaptations. The distinction will inform the normative debate on debiasing.
Max ERC Funding
1 321 488 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym BETLIV
Project Returning to a Better Place: The (Re)assessment of the ‘Good Life’ in Times of Crisis
Researcher (PI) Valerio SIMONI RIBA
Host Institution (HI) FONDATION POUR L INSTITUT DE HAUTES ETUDES INTERNATIONALES ET DU DEVELOPPEMENT
Call Details Starting Grant (StG), SH5, ERC-2017-STG
Summary What makes for a valuable and good life is a question that many people in the contemporary world ask themselves, yet it is one that social science research has seldom addressed. Only recently have scholars started undertaking inductive comparative research on different notions of the ‘good life’, highlighting socio-cultural variations and calling for a better understanding of the different imaginaries, aspirations and values that guide people in their quest for better living conditions. Research is still lacking, however, on how people themselves evaluate, compare, and put into perspective different visions of good living and their socio-cultural anchorage. This project addresses such questions from an anthropological perspective, proposing an innovative study of how ideals of the good life are articulated, (re)assessed, and related to specific places and contexts as a result of the experience of crisis and migration. The case studies chosen to operationalize these lines of enquiry focus on the phenomenon of return migration, and consist in an analysis of the imaginaries and experience of return by Ecuadorian and Cuban men and women who migrated to Spain, are dissatisfied with their life there, and envisage/carry out the project of going back to their countries of origin (Ecuador and Cuba respectively). The project’s ambition is to bring together and contribute to three main scholarly areas of enquiry: 1) the study of morality, ethics and what counts as ‘good life’, 2) the study of the field of economic practice, its definition, value regimes, and ‘crises’, and 3) the study of migratory aspirations, projects, and trajectories. A multi-sited endeavour, the research is designed in three subprojects carried out in Spain (PhD student), Ecuador (Post-Doc), and Cuba (PI), in which ethnographic methods will be used to provide the first empirically grounded study of the links between notions and experiences of crisis, return migration, and the (re)assessment of good living.
Summary
What makes for a valuable and good life is a question that many people in the contemporary world ask themselves, yet it is one that social science research has seldom addressed. Only recently have scholars started undertaking inductive comparative research on different notions of the ‘good life’, highlighting socio-cultural variations and calling for a better understanding of the different imaginaries, aspirations and values that guide people in their quest for better living conditions. Research is still lacking, however, on how people themselves evaluate, compare, and put into perspective different visions of good living and their socio-cultural anchorage. This project addresses such questions from an anthropological perspective, proposing an innovative study of how ideals of the good life are articulated, (re)assessed, and related to specific places and contexts as a result of the experience of crisis and migration. The case studies chosen to operationalize these lines of enquiry focus on the phenomenon of return migration, and consist in an analysis of the imaginaries and experience of return by Ecuadorian and Cuban men and women who migrated to Spain, are dissatisfied with their life there, and envisage/carry out the project of going back to their countries of origin (Ecuador and Cuba respectively). The project’s ambition is to bring together and contribute to three main scholarly areas of enquiry: 1) the study of morality, ethics and what counts as ‘good life’, 2) the study of the field of economic practice, its definition, value regimes, and ‘crises’, and 3) the study of migratory aspirations, projects, and trajectories. A multi-sited endeavour, the research is designed in three subprojects carried out in Spain (PhD student), Ecuador (Post-Doc), and Cuba (PI), in which ethnographic methods will be used to provide the first empirically grounded study of the links between notions and experiences of crisis, return migration, and the (re)assessment of good living.
Max ERC Funding
1 500 000 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym BIOGEOS
Project Bio-mediated Geo-material Strengthening for engineering applications
Researcher (PI) Lyesse LALOUI
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Advanced Grant (AdG), PE8, ERC-2017-ADG
Summary Given the increasing scarcity of suitable land for development, soil strengthening technologies have emerged in the past decade and go hand-in-hand with the implementation of the majority of foundation solutions. The goal is to alter the soil structure and its mechanical properties for ultimately securing the integrity of structures. The BIOGEOS project puts the focus on bio-mediated soil improvement, which falls within the broader framework of multi-physical processes in geo-mechanics. The goal of the project is to engineer a novel, natural material under controlled processes, for ultimately providing solutions to real problems in the geo-engineering and geo-energy fields by advancing knowledge around complex multi-physical phenomena in porous media. The bio-cemented geo-material, which is produced by carefully integrating the metabolic activity of native soil bacteria, is produced through the bio-mineralization of calcite bonds, which act as natural cementation for endowing the subsurface with real cohesion and increased resistance. A principal characteristic of the project is its multi-scale approach through advanced experimentation to identify the main physical mechanisms involved in the formation of the bio-mineralized bonds and their behaviour under mechanical loading. The development of such a bio-mediated technology will lead to innovative applications in a series of engineering problems such as the restoration of weak foundations, seismic retrofitting, erosion protection, and the enhancement of heat transfer in thermo-active geo-structures. The project foresees to adopt multiple loading conditions for its laboratory characterization and ultimately pass to the large experimental scale. BIOGEOS further aims to provide new knowledge around the way we perceive materials in relation with their micro-structure by implementing state-of-the-art inspection of the material’s structure in 3D space and subsequent prediction of their behaviour through numerical tools.
Summary
Given the increasing scarcity of suitable land for development, soil strengthening technologies have emerged in the past decade and go hand-in-hand with the implementation of the majority of foundation solutions. The goal is to alter the soil structure and its mechanical properties for ultimately securing the integrity of structures. The BIOGEOS project puts the focus on bio-mediated soil improvement, which falls within the broader framework of multi-physical processes in geo-mechanics. The goal of the project is to engineer a novel, natural material under controlled processes, for ultimately providing solutions to real problems in the geo-engineering and geo-energy fields by advancing knowledge around complex multi-physical phenomena in porous media. The bio-cemented geo-material, which is produced by carefully integrating the metabolic activity of native soil bacteria, is produced through the bio-mineralization of calcite bonds, which act as natural cementation for endowing the subsurface with real cohesion and increased resistance. A principal characteristic of the project is its multi-scale approach through advanced experimentation to identify the main physical mechanisms involved in the formation of the bio-mineralized bonds and their behaviour under mechanical loading. The development of such a bio-mediated technology will lead to innovative applications in a series of engineering problems such as the restoration of weak foundations, seismic retrofitting, erosion protection, and the enhancement of heat transfer in thermo-active geo-structures. The project foresees to adopt multiple loading conditions for its laboratory characterization and ultimately pass to the large experimental scale. BIOGEOS further aims to provide new knowledge around the way we perceive materials in relation with their micro-structure by implementing state-of-the-art inspection of the material’s structure in 3D space and subsequent prediction of their behaviour through numerical tools.
Max ERC Funding
2 497 115 €
Duration
Start date: 2018-11-01, End date: 2023-10-31
