Prof. dr. Rens van de Schoot

Prof. dr. Rens van de Schoot

Methodology and Statistics
+31 30 253 7982

Prof. Dr. Rens van de Schoot works as a full professor of collaborative Methods in AI and Data Science at Utrecht University in the Netherlands and as an extra-ordinary professor at North-West University in South Africa. He is also the director of the AI-LAB on AI-aided Knowledge Discovery and coordinator of the open-source ASReview project (Active learning for systematic text reviewing).

Short bio:

I first studied Medical imaging techniques and worked for four years at the university hospital in Utrecht, The Netherlands. After this, I started studying again, completed my Psychology bachelor with a minor in juvenile delinquency, and graduated cumlaude for the research master Development and Socialization of Children and Adolescents. I obtained my PhD (also cumlaude and awarded the APA-award for best dissertation of division 5) on applying Bayesian statistics to real-life data at the Department of Methods and Statistics. I obtained a VENI (on Integrating background knowledge about traumatic stress experienced after trauma into statistical models assessing individual change over time) and a VIDI (on Experts, their prior knowledge, and the issue of limited data). I am a member of the Young Academy (Jonge Akademie) of the Royal Netherlands Academy of Arts and Sciences (KNAW) and elected member of the Society of Multivariate Experimental Psychology (SMEP).

Collaborative Methods in AI and Data Science