Project acronym CAREER
Project From School to Career: Towards A Career Perspective on the Labor Market Returns to Education
Researcher (PI) Thijs Bol
Host Institution (HI) UNIVERSITEIT VAN AMSTERDAM
Country Netherlands
Call Details Starting Grant (StG), SH3, ERC-2020-STG
Summary Technological changes and the automation of occupational tasks present societies with a challenge: Is it still sensible to provide students with occupation-specific (vocational) education? Or are students with general educational qualifications better equipped for the future, given that what is demanded in the labor market is under rapid change?
While a large literature has shown that graduates with vocational training have a comparatively smooth transition from school to work, it has exclusively focused on the early career. We do not know how and why labor market outcomes vary over the life course, or how careers are affected by changing labor markets.
CAREER investigates how labor market demands change, and how these changes in the macro context affect individual workers. It takes an innovative career perspective to study how and why labor market returns to vocational and general education vary over the life cycle. Its core hypothesis is that vocational graduates have a late-career disadvantage because their occupation-specific skills hinder labor market mobility, particularly when labor market demands alter quickly.
CAREER is a comparative project, and studies six countries: Germany, the Netherlands, Poland, Sweden, Switzerland, and the United Kingdom. Using computational methods on unique data of millions of historical job vacancy texts, we describe how labor markets are changing. Relying on high quality panel data we map how careers of vocational and general graduates develop in changing labor markets. Using interviews, and factorial experiments we expose the theoretical mechanisms that drive career effects.
By extending the observation window from the early to the full career, CAREER shows how workers with specific or general qualifications perform in rapidly changing labor markets. This will not only enrich our understanding of the link between education and the labor market, it will also inform policy makers on a future-proof education system.
Summary
Technological changes and the automation of occupational tasks present societies with a challenge: Is it still sensible to provide students with occupation-specific (vocational) education? Or are students with general educational qualifications better equipped for the future, given that what is demanded in the labor market is under rapid change?
While a large literature has shown that graduates with vocational training have a comparatively smooth transition from school to work, it has exclusively focused on the early career. We do not know how and why labor market outcomes vary over the life course, or how careers are affected by changing labor markets.
CAREER investigates how labor market demands change, and how these changes in the macro context affect individual workers. It takes an innovative career perspective to study how and why labor market returns to vocational and general education vary over the life cycle. Its core hypothesis is that vocational graduates have a late-career disadvantage because their occupation-specific skills hinder labor market mobility, particularly when labor market demands alter quickly.
CAREER is a comparative project, and studies six countries: Germany, the Netherlands, Poland, Sweden, Switzerland, and the United Kingdom. Using computational methods on unique data of millions of historical job vacancy texts, we describe how labor markets are changing. Relying on high quality panel data we map how careers of vocational and general graduates develop in changing labor markets. Using interviews, and factorial experiments we expose the theoretical mechanisms that drive career effects.
By extending the observation window from the early to the full career, CAREER shows how workers with specific or general qualifications perform in rapidly changing labor markets. This will not only enrich our understanding of the link between education and the labor market, it will also inform policy makers on a future-proof education system.
Max ERC Funding
1 499 422 €
Duration
Start date: 2021-02-01, End date: 2026-01-31
Project acronym CRAFTWORK
Project Craft work: Understanding the relationship between identity and work in the context of the future of work
Researcher (PI) Alessandro Gandini
Host Institution (HI) UNIVERSITA DEGLI STUDI DI MILANO
Country Italy
Call Details Starting Grant (StG), SH3, ERC-2020-STG
Summary The CRAFTWORK project is a multi-methodological, pan-European study that explores the relationship between identity and work in the context of the ‘new forms of work’ of the digital era. To do so, it focuses on the lived experiences, cultures and practices of ‘neo-craft’ work across different sectors and geographical contexts in the EU. The project investigates the subjectivities and pathways to work of ‘neo-craft’ workers, their perception of class location and their cultural conceptions of social status. At the same time, it questions the distribution of ‘neo-craft’ work across the urban-rural divide, and the role of social media in this context. The overarching goal of the CRAFTWORK project is to produce a new interpretative framework to understand the relationship between identity and work, that allows to account for the specificities of the ‘new forms of work’. Conceived as such, the project will significantly innovate and empower the critical study of the ‘new forms of work’ across different disciplines and research areas, and contribute to address the major societal challenge of the ‘future of work’. The project is ground-breaking for three reasons: a) empirically, it is the first comprehensive inquiry on ‘neo-craft’ work, currently hidden in existing data, in the EU area; b) methodologically, it experiments an innovative combination of digital methods and qualitative research for the study of work; c) theoretically, it aspires to provide a rethinking of the interpretative categories for the study of the relationship between identity and work in the context of a society transitioning out of the industrial era and into a fragmented scenario, whereby old and new forms of work coexist.
Summary
The CRAFTWORK project is a multi-methodological, pan-European study that explores the relationship between identity and work in the context of the ‘new forms of work’ of the digital era. To do so, it focuses on the lived experiences, cultures and practices of ‘neo-craft’ work across different sectors and geographical contexts in the EU. The project investigates the subjectivities and pathways to work of ‘neo-craft’ workers, their perception of class location and their cultural conceptions of social status. At the same time, it questions the distribution of ‘neo-craft’ work across the urban-rural divide, and the role of social media in this context. The overarching goal of the CRAFTWORK project is to produce a new interpretative framework to understand the relationship between identity and work, that allows to account for the specificities of the ‘new forms of work’. Conceived as such, the project will significantly innovate and empower the critical study of the ‘new forms of work’ across different disciplines and research areas, and contribute to address the major societal challenge of the ‘future of work’. The project is ground-breaking for three reasons: a) empirically, it is the first comprehensive inquiry on ‘neo-craft’ work, currently hidden in existing data, in the EU area; b) methodologically, it experiments an innovative combination of digital methods and qualitative research for the study of work; c) theoretically, it aspires to provide a rethinking of the interpretative categories for the study of the relationship between identity and work in the context of a society transitioning out of the industrial era and into a fragmented scenario, whereby old and new forms of work coexist.
Max ERC Funding
1 152 170 €
Duration
Start date: 2021-01-01, End date: 2025-12-31
Project acronym DATAFIED LIVING
Project Datafied living: pursuing human flourishing through mundane self-tracking across personal, work and institutional contexts in the welfare state.
Researcher (PI) Stine LOMBORG
Host Institution (HI) KOBENHAVNS UNIVERSITET
Country Denmark
Call Details Starting Grant (StG), SH3, ERC-2020-STG
Summary Datafied living develops a communication-centric conceptual and empirical research agenda on the relationship between infrastructures for tracking of the self and forms of agency and meaning in datafied living. It focuses on the mundane experiences and implications of voluntary, pushed, coerced and imposed forms of self-tracking that unfold as we practice ourselves and pursue the good life through digital media. Despite a general, growing scholarly and public concern about the power that big tech companies have amassed in shaping societal developments and individual life possibilities through datafication, we lack knowledge about how exactly datafication is experienced, what it means to ordinary people, and how it shapes diverse contexts of everyday life. Such knowledge is crucial to intervene in tech development and its regulation in support for human flourishing: in facilitating good, safe and meaningful datafied living for all. Datafied Living is groundbreaking in five respects: 1) by framing datafication as conditioned on communication, I develop a novel communicative framework that cuts across domains of application and significantly advances both communication theory and datafication research; 2) I cover uncharted empirical territory of “datafication as viewed from below”, unifying data-driven and classic methods in an ambitious, context-sensitive methodology to study infrastructures and experiences of self-tracking and tracking of the self by others across personal, work and institutional life in the welfare state of Denmark, one of the most digitized and datafied countries in the world; 3) I unify and synthesize infrastructural analyses and experiential perspectives to elicit agentic potentials of mundane self-tracking across contexts; 4) I bring a much needed European, and context-sensitive perspective to an otherwise US-dominated debate; 5) I offer a well-tested methodology, and software, to scale the study of datafied living to cross-national comparison.
Summary
Datafied living develops a communication-centric conceptual and empirical research agenda on the relationship between infrastructures for tracking of the self and forms of agency and meaning in datafied living. It focuses on the mundane experiences and implications of voluntary, pushed, coerced and imposed forms of self-tracking that unfold as we practice ourselves and pursue the good life through digital media. Despite a general, growing scholarly and public concern about the power that big tech companies have amassed in shaping societal developments and individual life possibilities through datafication, we lack knowledge about how exactly datafication is experienced, what it means to ordinary people, and how it shapes diverse contexts of everyday life. Such knowledge is crucial to intervene in tech development and its regulation in support for human flourishing: in facilitating good, safe and meaningful datafied living for all. Datafied Living is groundbreaking in five respects: 1) by framing datafication as conditioned on communication, I develop a novel communicative framework that cuts across domains of application and significantly advances both communication theory and datafication research; 2) I cover uncharted empirical territory of “datafication as viewed from below”, unifying data-driven and classic methods in an ambitious, context-sensitive methodology to study infrastructures and experiences of self-tracking and tracking of the self by others across personal, work and institutional life in the welfare state of Denmark, one of the most digitized and datafied countries in the world; 3) I unify and synthesize infrastructural analyses and experiential perspectives to elicit agentic potentials of mundane self-tracking across contexts; 4) I bring a much needed European, and context-sensitive perspective to an otherwise US-dominated debate; 5) I offer a well-tested methodology, and software, to scale the study of datafied living to cross-national comparison.
Max ERC Funding
1 426 201 €
Duration
Start date: 2021-01-01, End date: 2025-12-31
Project acronym Digital DNA
Project The changing relationships between digital technologies, DNA and evidence
Researcher (PI) Mareile Kaufmann
Host Institution (HI) UNIVERSITETET I OSLO
Country Norway
Call Details Starting Grant (StG), SH3, ERC-2020-STG
Summary The relationship between digital technologies, DNA and evidence is changing so rapidly and profoundly that in-depth and creative analyses of the links between them are urgently needed. Digital innovations within forensic DNA analysis affect the making of DNA evidence. For example, new computer programs create identikit pictures from DNA. At the same time, DNA and evidence-based reasoning also change digital technologies, for example when DNA is used as a storage medium for digital data. Digital DNA provides pioneering empirical insights and theorization on the reciprocal influence of digital technologies, DNA and evidence. The project defines an emerging field: the digitization of forensic biology and the influence of the biosciences on digital technologies. It provides systematic interdisciplinary studies on three sets of developments.
1. Changes in hardware. It investigates how smaller and more mobile hardware influences the production of DNA evidence, and how DNA is used as hardware in computing.
2. Changes in databases and analytic instruments. It studies how a growth in DNA databases and their algorithmic analysis influence the production of DNA evidence, and to what extent digital databases and algorithms are associated with evidence-based reasoning.
3. Changes in information per se. It discusses how the ability to alter DNA influences the production of forensic evidence, and how DNA influences the concept of digital data.
Current debates tend to focus on ethical, legal and societal aspects of forensic innovation or on the roles that big data and algorithms play in society. Digital DNA focuses on more fundamental developments: how DNA evidence changes when it is integrated with digital technologies, and the re-orientation that digital data and technologies undergo when they are integrated with biology. A unique combination of methods from the social sciences, information studies and natural sciences is used in the project.
Summary
The relationship between digital technologies, DNA and evidence is changing so rapidly and profoundly that in-depth and creative analyses of the links between them are urgently needed. Digital innovations within forensic DNA analysis affect the making of DNA evidence. For example, new computer programs create identikit pictures from DNA. At the same time, DNA and evidence-based reasoning also change digital technologies, for example when DNA is used as a storage medium for digital data. Digital DNA provides pioneering empirical insights and theorization on the reciprocal influence of digital technologies, DNA and evidence. The project defines an emerging field: the digitization of forensic biology and the influence of the biosciences on digital technologies. It provides systematic interdisciplinary studies on three sets of developments.
1. Changes in hardware. It investigates how smaller and more mobile hardware influences the production of DNA evidence, and how DNA is used as hardware in computing.
2. Changes in databases and analytic instruments. It studies how a growth in DNA databases and their algorithmic analysis influence the production of DNA evidence, and to what extent digital databases and algorithms are associated with evidence-based reasoning.
3. Changes in information per se. It discusses how the ability to alter DNA influences the production of forensic evidence, and how DNA influences the concept of digital data.
Current debates tend to focus on ethical, legal and societal aspects of forensic innovation or on the roles that big data and algorithms play in society. Digital DNA focuses on more fundamental developments: how DNA evidence changes when it is integrated with digital technologies, and the re-orientation that digital data and technologies undergo when they are integrated with biology. A unique combination of methods from the social sciences, information studies and natural sciences is used in the project.
Max ERC Funding
1 496 997 €
Duration
Start date: 2021-05-01, End date: 2026-04-30
Project acronym FAMI-LIES
Project Early roots of lying in families
Researcher (PI) Rianne Kok
Host Institution (HI) ERASMUS UNIVERSITEIT ROTTERDAM
Country Netherlands
Call Details Starting Grant (StG), SH3, ERC-2020-STG
Summary Children who lie, learn this from a very young age. While some forms of lying are harmless, or even adaptive, other types are maladaptive. Yet, social origins of lying are grossly understudied. Parents sometimes lie (claiming to leave the child behind, when misbehaving) or model lying to children (telling someone they love a gift, while admitting to the child their dislike). How parental deception affects children is unknown. In fact, socialization of child lying is paradoxical: despite lying or modelling lying, parents usually teach that lying is wrong. Thus, many children receive mixed messages about the value of honesty. To begin the crucial study of this paradox, I coin a novel term: “parental moral dissonance”, a mismatch between what parents teach about lying and what they actually do. In the multimethod FAMI-LIES project, I will explore and explain how and why parents lie to children, how this contrasts with what they teach, and how lying and moral dissonance relate to child socio-emotional and moral outcomes.
The problematic scarcity of research on social origins of lying reflects in a lack of valid measures to assess variation in parental lies. Therefore, I will first design a new, necessary questionnaire and behavioural observation codes to assess parental lying. Second, I will explore parental and child correlates of moral dissonance to generate hypotheses about its appearance, origins, and effects. Third, I will assess longitudinal associations (including bidirectional patterns) between parent and child lying, and child outcomes. Fourth, I will experimentally test causal socialization pathways from parent to child lying. A unique integration of insights of psychology and family studies frames lying in a psychosocial context. Findings will impact various disciplines, aid evidence-based prevention and intervention programs for parents and children, and provide foundations for further expansion of this societal and clinically relevant research line.
Summary
Children who lie, learn this from a very young age. While some forms of lying are harmless, or even adaptive, other types are maladaptive. Yet, social origins of lying are grossly understudied. Parents sometimes lie (claiming to leave the child behind, when misbehaving) or model lying to children (telling someone they love a gift, while admitting to the child their dislike). How parental deception affects children is unknown. In fact, socialization of child lying is paradoxical: despite lying or modelling lying, parents usually teach that lying is wrong. Thus, many children receive mixed messages about the value of honesty. To begin the crucial study of this paradox, I coin a novel term: “parental moral dissonance”, a mismatch between what parents teach about lying and what they actually do. In the multimethod FAMI-LIES project, I will explore and explain how and why parents lie to children, how this contrasts with what they teach, and how lying and moral dissonance relate to child socio-emotional and moral outcomes.
The problematic scarcity of research on social origins of lying reflects in a lack of valid measures to assess variation in parental lies. Therefore, I will first design a new, necessary questionnaire and behavioural observation codes to assess parental lying. Second, I will explore parental and child correlates of moral dissonance to generate hypotheses about its appearance, origins, and effects. Third, I will assess longitudinal associations (including bidirectional patterns) between parent and child lying, and child outcomes. Fourth, I will experimentally test causal socialization pathways from parent to child lying. A unique integration of insights of psychology and family studies frames lying in a psychosocial context. Findings will impact various disciplines, aid evidence-based prevention and intervention programs for parents and children, and provide foundations for further expansion of this societal and clinically relevant research line.
Max ERC Funding
1 498 250 €
Duration
Start date: 2021-11-01, End date: 2026-10-31
Project acronym FORAGING
Project Foraging at the Edge of Capitalism
Researcher (PI) Martin SAXER
Host Institution (HI) LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Country Germany
Call Details Consolidator Grant (CoG), SH3, ERC-2020-COG
Summary In this moment of economic and environmental breakdown, an unexpected source of income has risen in global importance: foraging. In Tibet and Nepal, scores of collectors rush to the mountains each spring to collect yartsagunbu – a rare mushroom more valuable than gold. In Siberia, “tuskers” scavenge for woolly mammoth ivory in the thawing permafrost. From Amazonia to Mongolia, artisanal miners extract precious minerals where transnational conglomerates have left. In the US, “Amazon nomads” tour foreclosed shops and sell their bounty online.
Broadly understood as practices of collecting, scavenging and gleaning, foraging is a global phenomenon of our times. However, it only gains patchy attention in mainstream debates on conservation and development. What is missing is a conceptual understanding of foraging as a basic economic strategy and a form of socio-environmental entanglement. The objective of this project is to take on this task and develop a political ecology of foraging in the Anthropocene.
The project is timely. In the aftermath of the world financial crisis between 2008 to 2011, foraging has gained in relevance around the globe. In an era when the dream of a middle-class life based on a stable, salaried job no longer seems viable, and in places where the welfare state is under pressure, has never existed or has vanished, foraging is often the only avenue to upward social mobility. At the same time, the climate crisis and concerns for the rapid loss of biodiversity are raising the urgency for environmental conservation. To understand the evolving frictions at this interface is highly relevant at this historical moment – both in academia and beyond.
Interdisciplinary in outlook but grounded in anthropology, the project will be carried out by an international team of five researchers at the Rachel Carson Center, LMU Munich. Outputs include 2 monograph, 3 edited collections, 3 PhD thesis, 12 peer-reviewed articles, a film and an exhibition.
Summary
In this moment of economic and environmental breakdown, an unexpected source of income has risen in global importance: foraging. In Tibet and Nepal, scores of collectors rush to the mountains each spring to collect yartsagunbu – a rare mushroom more valuable than gold. In Siberia, “tuskers” scavenge for woolly mammoth ivory in the thawing permafrost. From Amazonia to Mongolia, artisanal miners extract precious minerals where transnational conglomerates have left. In the US, “Amazon nomads” tour foreclosed shops and sell their bounty online.
Broadly understood as practices of collecting, scavenging and gleaning, foraging is a global phenomenon of our times. However, it only gains patchy attention in mainstream debates on conservation and development. What is missing is a conceptual understanding of foraging as a basic economic strategy and a form of socio-environmental entanglement. The objective of this project is to take on this task and develop a political ecology of foraging in the Anthropocene.
The project is timely. In the aftermath of the world financial crisis between 2008 to 2011, foraging has gained in relevance around the globe. In an era when the dream of a middle-class life based on a stable, salaried job no longer seems viable, and in places where the welfare state is under pressure, has never existed or has vanished, foraging is often the only avenue to upward social mobility. At the same time, the climate crisis and concerns for the rapid loss of biodiversity are raising the urgency for environmental conservation. To understand the evolving frictions at this interface is highly relevant at this historical moment – both in academia and beyond.
Interdisciplinary in outlook but grounded in anthropology, the project will be carried out by an international team of five researchers at the Rachel Carson Center, LMU Munich. Outputs include 2 monograph, 3 edited collections, 3 PhD thesis, 12 peer-reviewed articles, a film and an exhibition.
Max ERC Funding
1 999 625 €
Duration
Start date: 2022-01-01, End date: 2026-12-31
Project acronym HEARTOPENINGS
Project Heart openings: The experience and cultivation of love in Buddhism, Christianity, and Islam
Researcher (PI) Christian Suhr Nielsen
Host Institution (HI) AARHUS UNIVERSITET
Country Denmark
Call Details Starting Grant (StG), SH3, ERC-2020-STG
Summary "Scholarship has not responded satisfactorily to the current crisis of interreligious misunderstanding, sectarian strife, and rising fundamentalism. Ethical attempts to respect difference have resulted in reifications and the encouragement of difference. Could the kinds of experiences that scholars and practitioners call religious, divine, spiritual, or mystical share a ""common core""? Notwithstanding that this old hypothesis has been rejected by scholars as a universalization of Western and Christian concepts of experience and religion, this project sets out to investigate the possibility of undisclosed commonalities with a new set of methods. The project specifically focuses on the experience and cultivation of love in religious, spiritual, and contemplative practice; first among Tibetan Buddhists, Pentecostals, and Sufis in Denmark; secondly with Tibetan Buddhists in Nepal, Pentecostals in Papua New Guinea, and Sufis in Egypt. In this endeavour the project takes on the central anthropological task of comparing not only things that look alike but also phenomena which are seemingly dissimilar. Through audiovisual and microphenomenological methods of experiential elicitation, the project will examine in minute detail the synchronic and diachronic structures of concrete experiences of love – including the complex sensory and emotional qualities of such experiences and the micro-acts and micro-events that may be involved as they unfold. Furthermore, through participant observation and life history interviews the project will examine how such experiences of love impact upon and emerge from people's everyday practices, how research participants themselves understand the ways in which such experiences shape their lives, and how different life trajectories may relate to particular experiences. By combining these methods the project will pave the way for new interreligious understandings based on in-depth experiential detail that has not been achieved before."
Summary
"Scholarship has not responded satisfactorily to the current crisis of interreligious misunderstanding, sectarian strife, and rising fundamentalism. Ethical attempts to respect difference have resulted in reifications and the encouragement of difference. Could the kinds of experiences that scholars and practitioners call religious, divine, spiritual, or mystical share a ""common core""? Notwithstanding that this old hypothesis has been rejected by scholars as a universalization of Western and Christian concepts of experience and religion, this project sets out to investigate the possibility of undisclosed commonalities with a new set of methods. The project specifically focuses on the experience and cultivation of love in religious, spiritual, and contemplative practice; first among Tibetan Buddhists, Pentecostals, and Sufis in Denmark; secondly with Tibetan Buddhists in Nepal, Pentecostals in Papua New Guinea, and Sufis in Egypt. In this endeavour the project takes on the central anthropological task of comparing not only things that look alike but also phenomena which are seemingly dissimilar. Through audiovisual and microphenomenological methods of experiential elicitation, the project will examine in minute detail the synchronic and diachronic structures of concrete experiences of love – including the complex sensory and emotional qualities of such experiences and the micro-acts and micro-events that may be involved as they unfold. Furthermore, through participant observation and life history interviews the project will examine how such experiences of love impact upon and emerge from people's everyday practices, how research participants themselves understand the ways in which such experiences shape their lives, and how different life trajectories may relate to particular experiences. By combining these methods the project will pave the way for new interreligious understandings based on in-depth experiential detail that has not been achieved before."
Max ERC Funding
1 498 189 €
Duration
Start date: 2021-05-01, End date: 2026-04-30
Project acronym HEED
Project Health Equity and its Economic Determinants (HEED): A Pan-European Microsimulation model for Health impacts of Income and Social Security Policies
Researcher (PI) Srinivasa Vittal Katikireddi
Host Institution (HI) UNIVERSITY OF GLASGOW
Country United Kingdom
Call Details Starting Grant (StG), SH3, ERC-2020-STG
Summary Economic determinants, such as income and employment, are key drivers of population health and health inequalities, but have rarely been included in modelling studies to inform policy. This innovative project will develop the Health Equity and its Economic Determinants (HEED) model to investigate the impacts of taxation and social security policies on population health and mortality across Europe. There are 4 phases: 1) creating effect estimates for model inputs, 2) developing the model, 3) trialling policy simulations in one European country (UK), and 4) Europe-wide policy simulations. In phase 1, we will use causal approaches to analyse longitudinal data (the UK Household Longitudinal Study and Swedish registers), to estimate effects of changes in household income and employment status on health status (SF-12), mental health (GHQ-12 and psychotropic medications), life satisfaction and all-cause mortality. In phase 2, we will build a microsimulation policy model based on a representative synthetic UK population. We will develop projections for one, five and 10-year time periods, accounting for pre-existing demographic, epidemiological and economic trends. We will validate HEED by comparing projections with data not used in model construction. In phase 3, we will model the health equity impacts of alternative income tax and social security policies, developed with policymakers. Probabilistic sensitivity analyses will test key model assumptions and uncertainties. In phase 4, we will adapt the microsimulation model for implementation across a further 23 European Union countries. We will populate the model using available survey and demographic data to study impacts on levels of and inequalities in all-cause mortality, self-rated health, depression (PHQ-9) and life satisfaction over one and five years. Ex-ante impacts of reforms, as well as contemporaneous policy swaps, will be investigated to understand how best to reduce health inequalities across Europe.
Summary
Economic determinants, such as income and employment, are key drivers of population health and health inequalities, but have rarely been included in modelling studies to inform policy. This innovative project will develop the Health Equity and its Economic Determinants (HEED) model to investigate the impacts of taxation and social security policies on population health and mortality across Europe. There are 4 phases: 1) creating effect estimates for model inputs, 2) developing the model, 3) trialling policy simulations in one European country (UK), and 4) Europe-wide policy simulations. In phase 1, we will use causal approaches to analyse longitudinal data (the UK Household Longitudinal Study and Swedish registers), to estimate effects of changes in household income and employment status on health status (SF-12), mental health (GHQ-12 and psychotropic medications), life satisfaction and all-cause mortality. In phase 2, we will build a microsimulation policy model based on a representative synthetic UK population. We will develop projections for one, five and 10-year time periods, accounting for pre-existing demographic, epidemiological and economic trends. We will validate HEED by comparing projections with data not used in model construction. In phase 3, we will model the health equity impacts of alternative income tax and social security policies, developed with policymakers. Probabilistic sensitivity analyses will test key model assumptions and uncertainties. In phase 4, we will adapt the microsimulation model for implementation across a further 23 European Union countries. We will populate the model using available survey and demographic data to study impacts on levels of and inequalities in all-cause mortality, self-rated health, depression (PHQ-9) and life satisfaction over one and five years. Ex-ante impacts of reforms, as well as contemporaneous policy swaps, will be investigated to understand how best to reduce health inequalities across Europe.
Max ERC Funding
1 499 773 €
Duration
Start date: 2021-01-01, End date: 2025-12-31
Project acronym HHAIR
Project Hybrid Human-AI Regulation: Supporting Young Learners' Self-Regulated Learning
Researcher (PI) inge MOLENAAR
Host Institution (HI) STICHTING KATHOLIEKE UNIVERSITEIT
Country Netherlands
Call Details Starting Grant (StG), SH3, ERC-2020-STG
Summary Hybrid systems combining artificial and human intelligence hold great promise for training human skills. I propose to develop Hybrid Human-AI Regulation (HHAIR) to develop learners’ Self-Regulated Learning (SRL) skills within Adaptive Learning Technologies (ALTs). HHAIR targets young learners (10-14 years) for whom SRL skills are critical in today’s society. Many of these learners use ALTs to learn mathematics and languages every day in school. ALTs optimize learning based on learners’ performance data but even the most sophisticated ALTs fail to support SRL. In fact, most ALTs take over (offload) control and monitoring from learners. HHAIR on the other hand aims to gradually transfer regulation of learning from AI-regulation to self-regulation. Learners will increasingly regulate their own learning progressing through different degrees of hybrid regulation. In this way HHAIR supports optimized learning and transfer (deep learning) and development of SRL skills for lifelong learning (future learning). This project is ground-breaking in developing the first hybrid systems to train human SRL skills with AI.
The design of HHAIR resolves four scientific challenges: i) identify individual learner’s SRL during learning; ii) design degrees of hybrid regulation; iii) confirm effects of HHAIR on deep learning; and iv) validate effects of HHAIR on SRL skills for future learning. The four design challenges are addressed by investigating ALTs’ trace data in exploratory studies (WP1), applying these insights to develop HHAIR in design studies (WP2), investigating immediate effects on deep learning in short-term field studies (WP3) and effects on SRL-skills for future learning in long-term field studies (WP4). The AI@EDU infrastructure will connect HHAIR to ALTs used daily in schools across Europe. The project will develop advanced measurement of SRL and algorithms to drive hybrid regulation for developing SRL skills in ALTs.
Summary
Hybrid systems combining artificial and human intelligence hold great promise for training human skills. I propose to develop Hybrid Human-AI Regulation (HHAIR) to develop learners’ Self-Regulated Learning (SRL) skills within Adaptive Learning Technologies (ALTs). HHAIR targets young learners (10-14 years) for whom SRL skills are critical in today’s society. Many of these learners use ALTs to learn mathematics and languages every day in school. ALTs optimize learning based on learners’ performance data but even the most sophisticated ALTs fail to support SRL. In fact, most ALTs take over (offload) control and monitoring from learners. HHAIR on the other hand aims to gradually transfer regulation of learning from AI-regulation to self-regulation. Learners will increasingly regulate their own learning progressing through different degrees of hybrid regulation. In this way HHAIR supports optimized learning and transfer (deep learning) and development of SRL skills for lifelong learning (future learning). This project is ground-breaking in developing the first hybrid systems to train human SRL skills with AI.
The design of HHAIR resolves four scientific challenges: i) identify individual learner’s SRL during learning; ii) design degrees of hybrid regulation; iii) confirm effects of HHAIR on deep learning; and iv) validate effects of HHAIR on SRL skills for future learning. The four design challenges are addressed by investigating ALTs’ trace data in exploratory studies (WP1), applying these insights to develop HHAIR in design studies (WP2), investigating immediate effects on deep learning in short-term field studies (WP3) and effects on SRL-skills for future learning in long-term field studies (WP4). The AI@EDU infrastructure will connect HHAIR to ALTs used daily in schools across Europe. The project will develop advanced measurement of SRL and algorithms to drive hybrid regulation for developing SRL skills in ALTs.
Max ERC Funding
1 499 248 €
Duration
Start date: 2021-02-01, End date: 2026-01-31
Project acronym iCrime
Project Interdisciplinary Cybercrime Project
Researcher (PI) Alice HUTCHINGS
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Country United Kingdom
Call Details Starting Grant (StG), SH3, ERC-2020-STG
Summary The Interdisciplinary Cybercrime Project (iCrime) is an innovative research program incorporating expertise from criminology and computer science to develop and evaluate cybercrime responses. iCrime consists of four major interconnected components to research cybercrime using the offender, the crime type, the place (such as online black markets), and the response as discrete units of analysis. The pathways of cybercrime offenders will be explored, such as how they begin offending, and why they stop, including similarities and differences across populations. The steps and skills required to successfully undertake complex forms of cybercrime will be mapped out. We will also analyse the social dynamics and economies surrounding cybercrime markets and forums, and how these evolve.
We will use the findings from the first three components to inform situational and social crime prevention initiatives. In the fourth component, we will use robust experimental designs to evaluate the effects of these interventions, measuring their impact on crime reduction, as well as how offenders and their methods adapt and displace as a result. We will work with law enforcement and industry to build evaluation into their implementation strategy. We will also use natural experiments to measure the effects of interventions ‘in the wild’.
The project is flexible in nature, enabling us to respond to new cybercrime issues as they emerge. Cybercrime offenders are innovative and change monetising techniques rapidly. This approach will be valuable for quickly understanding cybercrime techniques.
Within iCrime, we will develop tools to identify and measure criminal infrastructure at scale. Difficult challenges will be tackled by using and developing unique datasets, and designing novel methodologies. This is particularly important as cybercrime changes dynamically. We will be at the forefront of new developments as they arise. Overall, our approach will be evaluative, critical, and data driven.
Summary
The Interdisciplinary Cybercrime Project (iCrime) is an innovative research program incorporating expertise from criminology and computer science to develop and evaluate cybercrime responses. iCrime consists of four major interconnected components to research cybercrime using the offender, the crime type, the place (such as online black markets), and the response as discrete units of analysis. The pathways of cybercrime offenders will be explored, such as how they begin offending, and why they stop, including similarities and differences across populations. The steps and skills required to successfully undertake complex forms of cybercrime will be mapped out. We will also analyse the social dynamics and economies surrounding cybercrime markets and forums, and how these evolve.
We will use the findings from the first three components to inform situational and social crime prevention initiatives. In the fourth component, we will use robust experimental designs to evaluate the effects of these interventions, measuring their impact on crime reduction, as well as how offenders and their methods adapt and displace as a result. We will work with law enforcement and industry to build evaluation into their implementation strategy. We will also use natural experiments to measure the effects of interventions ‘in the wild’.
The project is flexible in nature, enabling us to respond to new cybercrime issues as they emerge. Cybercrime offenders are innovative and change monetising techniques rapidly. This approach will be valuable for quickly understanding cybercrime techniques.
Within iCrime, we will develop tools to identify and measure criminal infrastructure at scale. Difficult challenges will be tackled by using and developing unique datasets, and designing novel methodologies. This is particularly important as cybercrime changes dynamically. We will be at the forefront of new developments as they arise. Overall, our approach will be evaluative, critical, and data driven.
Max ERC Funding
1 499 966 €
Duration
Start date: 2021-07-01, End date: 2026-06-30