Description du projet
Intégrer la génétique aux sciences sociales pour mieux comprendre les origines des inégalités
Financé par le programme Actions Marie Skłodowska-Curie, le projet ESSGN réunit un groupe interdisciplinaire d’experts universitaires et de partenaires non universitaires pour former la prochaine génération de spécialistes des sciences sociales à l’utilisation responsable des données génétiques. L’objectif est de répondre à une question de recherche essentielle: dans quelle mesure les inégalités des chances dans la vie découlent-elles de la variation génétique, des facteurs environnementaux et de leur interaction? Le projet exploitera les bases de données multigénérationnelles complètes de l’Europe pour séparer les effets génétiques directs des facteurs génétiques et socio-économiques parentaux qui influencent l’environnement éducatif. Les stagiaires feront appel aux méthodes d’inférence causale utilisées en économétrie et en statistique pour estimer la mesure dans laquelle les environnements atténuent ou exacerbent les différences génétiques.
Objectif
The European Social Science Genetics Network (ESSGN) brings together seven academic beneficiaries with a shared interest in social science genetics, i.e. in incorporating genetic information to improve our understanding of age-old questions in the social sciences, such as the origins of inequality, the ‘nature versus nurture’ debate, and the extent to which the interplay between environments and genes is important in shaping individuals’ lives. The consortium consists of an interdisciplinary group of academics, as well as seven non-academic partners committed to using data science to address inequalities in life chances. There is an urgent need for training in social science genetics due to recent technological advances in genetics, the intricacies of using genetic data, and the growing availability of such data in surveys traditionally studied by social scientists. Our aim is to train the next generation of social scientists in the responsible and technically correct use of genetic data and in objective communication about what can and cannot be learned from working with genetic data in the social sciences.
The project will go beyond the state-of-the-art (i) by using Europe’s most comprehensive multigenerational databases to separate direct genetic effects from parental genetic and socio-economic factors that shape the rearing environment; and (ii) by exploiting the large toolbox of causal inference methods used in econometrics and statistics to estimate the extent to which environments causally protect individuals with genetic disadvantages. We will (1) analyse to what extent genetic (‘nature’) and environmental (‘nurture’) factors contribute to equality of opportunity and intergenerational mobility, and (2) establish how nature and nurture jointly shape inequalities in life chances. As such, our programme of research provides novel and exciting opportunities to social scientists to deepen our understanding of how inequalities in life chances are shaped.
Champ scientifique
Mots‑clés
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Régime de financement
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral NetworksCoordinateur
1081 HV Amsterdam
Pays-Bas