Vincent Straub
DPhil Student
Vincent Straub is a doctoral researcher at the Leverhulme Centre for Demographic Science in Oxford Population Health, University of Oxford. His research focuses on men’s health, social epidemiology, and reproductive genetics, alongside topics in computational social science, AI governance and public policy. His PhD research examines how genetics and life circumstances shape risky behaviours and health inequalities.
Vincent has published in journals including Nature Aging, Nature Reviews Urology, and Government Information Quaterly. His public writing has appeared in outlets including Nature, The Guardian and the Financial Times, and his research has been featured by the BBC and Women's Health. He has previously been affiliated with organisations including the Alan Turing Institute, the Humboldt University of Berlin, and the National Endowment for Science, Technology and the Arts.
As a member of the European Social Science Genetics Network, he is committed to international collaboration. In the past, he has worked with the Jubel European Democracy Festival, the European Forum Alpbach, and served as a member of the European Cultural Parliament Future Generation. As a practising multimedia artist, Vincent has exhibited works with the Tate Collective in Tate Modern and in Amsterdam’s Stedelijk Museum with the Blikopeners collective.
Through his research and creative work, Vincent advocates for a healthier, more nurturing embodiment of masculinity.
Recent publications
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Genetics of female and male reproductive traits and their relationship with health, longevity and consequences for offspring
Journal article
Benonisdottir S. et al, (2024), Nature Aging, 4, 1745 - 1759
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Stop digital platforms treating people as lab rats
Journal article
Straub V., (2024), Nature, 636, 299 - 299
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Public attitudes towards social media field experiments.
Journal article
Straub VJ. et al, (2024), Sci Rep, 14
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Unite the study of AI in government: With a shared language and typology
Journal article
Straub VJ. and Bright J., (2024), AI & SOCIETY
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Towards more ethical social media field experiments
Preprint
Straub VJ. et al, (2024)