Felix Tropf
Associate Professor of Sociology, Purdue University, and in Population Data Science at the Centre for Longitudinal Studies
Email: f.tropf@ucl.ac.uk
On this page:
Evaluating the degree to which statistical models can explain or predict social outcomes such as educational attainment, fertility or wellbeing can contribute to advances in theory and scientific discovery, and help to understand how a society endures change and stress.
However, this research can rely on methodology which can exclude non-social factors such as genes.
Quantitative geneticists have developed a methodology to tackle this challenge, which brings together inference statistical models and measured genes. This has been used to explain 70 per cent of individual differences in height, for example.
The FINDME project combines social sciences with knowledge from genetic methods to build on this work.
It will:
FINDME uses data from the Millennium Cohort Study as it combines extensive social and environmental research data with molecular genetics data.
Felix Tropf
Associate Professor of Sociology, Purdue University, and in Population Data Science at the Centre for Longitudinal Studies
Email: f.tropf@ucl.ac.uk
Felix is Associate Professor in Sociology at Purdue University and in Population Data Science at the Centre for Longitudinal Studies. He is an associate member of Nuffield College, Oxford, and a supervisor in the European Social Science Genetics Network. His research focuses on topics in social demography, quantitative genetics, and data science.
Rafael Geurgas
Postdoctoral researcher
Laura Sheppard
Research Fellow
Katherine Thompson
Postdoctoral researcher
Saul Justin Newman
Senior Research Fellow
The researchers used data from the following cohort studies in this project.