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Kim Stienstra (PhD)

Postdoctoral Researcher

Kim Stienstra is a quantitative sociologist with research interests in educational inequality, social stratification, and sociogenomics. At the LCDS, she is conducting postdoctoral research funded by her NWO Rubicon grant. Her project investigates how genetics, family socioeconomic status, and adverse childhood experiences cumulatively and interactively shape children’s educational outcomes, and how supportive environments can help mitigate genetic and environmental risks.

Previously, Kim was a Max Weber Fellow at the Department of Political and Social Sciences of the European University Institute. She obtained her PhD at the Department of Sociology at Utrecht University, as part of the Interuniversity Center for Social Science Theory and Methodology (ICS) graduate school. In her dissertation, she investigated how schools, family background, and genetic factors interact to shape educational inequalities using twin methods.

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l.k.stienstra@uu.nl
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Kim Stienstra

Postdoctoral Researcher
Postdoctoral Researcher
This is the alt text
Email
l.k.stienstra@uu.nl
Links
Google Scholar
LinkedIn
Twitter
BlueSky

Kim Stienstra is a quantitative sociologist with research interests in educational inequality, social stratification, and sociogenomics. At the LCDS, she is conducting postdoctoral research funded by her NWO Rubicon grant. Her project investigates how genetics, family socioeconomic status, and adverse childhood experiences cumulatively and interactively shape children’s educational outcomes, and how supportive environments can help mitigate genetic and environmental risks.

Previously, Kim was a Max Weber Fellow at the Department of Political and Social Sciences of the European University Institute. She obtained her PhD at the Department of Sociology at Utrecht University, as part of the Interuniversity Center for Social Science Theory and Methodology (ICS) graduate school. In her dissertation, she investigated how schools, family background, and genetic factors interact to shape educational inequalities using twin methods.

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