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Genetics and demography
25 October 2023, 1:00 pm–2:00 pm
Demographic insights have recently become of major interest for genetic discovery studies and beyond. This seminar spotlights the intersection of contemporary genetic and demographic research.
This event is free.
Event Information
Open to
- All
Availability
- Yes
Cost
- Free
Organiser
-
Greta Morando
Location
-
Room G0355-59 Gordon SquareLondonWC1H 0NU
Demography is a genuinely interdisciplinary field of research. Today, social science data sources provide molecular genetic information, and researchers all over the world are interested in utilizing this information to better understand various bio-social phenomena.
The potential, set free by the molecular genetic data revolution, is at a maximum in demography. But this does not go one way: demographic insights have recently become of major interest for genetic discovery studies and beyond.
In this talk, the researchers spotlight the intersection of contemporary genetic and demographic research. The presenters discuss some recent genetic discovery studies for traits of demographic interest, their implications for the field and for ongoing natural selection, heterogeneity across populations hiding heritability, selection issues of genetic data, and more
This event will be particularly useful for academics and policy makers.
Related links
- Quantitative Social Science (QSS)
- Centre for Longitudinal Studies (CLS)
- QSS and CLS seminar series
- UCL Social Research Institute
Image
Credit: Bits and splits / Adobe Stock.
About the Speaker
Felix Tropf
Associate Professor in Population Data Science at UCL
Felix Tropf is a sociologist, Associate Professor in Population Data Science at the Centre for Longitudinal Studies at UCL, and Associate Professor in Sociology at Purdue University. He is an Associate Member of Nuffield College in Oxford and a Supervisor in the European Social Science Genetics Network. His research focuses on topics in social demography, quantitative genetics, and data science and is PI of the UKRI-funded project FINDME investigating to what extent our social and genetic data can explain individual differences.