Descripción del proyecto
Integrar la genética en las ciencias sociales en pos de comprender mejor los orígenes de la desigualdad
El proyecto ESSGN, financiado por las Acciones Marie Skłodowska-Curie, reúne a un grupo interdisciplinario de expertos del mundo universitario y socios del sector industrial para formar a la nueva generación de científicos sociales en el uso responsable de datos genéticos. El objetivo es responder a una pregunta básica de investigación: ¿en qué medida las desigualdades en las oportunidades vitales emanan de la variación genética, los factores ambientales y su interacción? En el proyecto se emplearán bases de datos multigeneracionales integrales de Europa para separar los efectos genéticos directos de los factores genéticos y socioeconómicos de los padres que influyen en el entorno de crianza. Los becarios emplearán métodos de inferencia causal de econometría y estadística para calcular en qué medida el entorno atenúa o exacerba las diferencias genéticas.
Objetivo
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.
Ámbito científico
Palabras clave
Programa(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Régimen de financiación
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral NetworksCoordinador
1081 HV Amsterdam
Países Bajos