Descrizione del progetto
Integrare la genetica nelle scienze sociali per comprendere meglio le origini della disuguaglianza
Finanziato dal programma di azioni Marie Skłodowska-Curie, il progetto ESSGN riunisce un gruppo interdisciplinare di esperti accademici e partner non accademici per formare la prossima generazione di scienziati sociali sull’uso responsabile dei dati genetici. L’obiettivo è rispondere a una domanda chiave della ricerca: in che misura le disuguaglianze nelle opportunità di vita derivano dalla variazione genetica, dai fattori ambientali e dalla loro interazione? Il progetto sfrutterà le vaste banche dati multigenerazionali europee per separare gli effetti genetici diretti dai fattori genetici e socioeconomici parentali che influenzano l’ambiente di crescita individuale. I tirocinanti impiegheranno metodi di inferenza causale utilizzati in econometria e statistica per stimare la misura in cui gli ambienti attenuano o esacerbano le differenze genetiche.
Obiettivo
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.
Campo scientifico
Parole chiave
Programma(i)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Meccanismo di finanziamento
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral NetworksCoordinatore
1081 HV Amsterdam
Paesi Bassi