Prof. Dr. Rens van de Schoot works as full professor 'Statistics for Small Data Sets' at Utrecht University in the Netherlands. He is also program director of the research master 'Methodology and Statistics for the Behavioural, Biomedical and Social Sciences' and coordinator of the post-graduate program at the Department of Methods and Statistics. His main research projects are the open-source ASReview project (Active learning for systematic text reviewing) and solutions for small data sets (S4) in the field of structural equation modeling with solutions in the areas of expert elicitation, Bayesian statistics and constrained statistical inference. He was elected to become a member of the Young Academy of the Royal Netherlands Academy of Arts and Sciences (KNAW) and of the Society of Multivariate Experimental Psychology (SMEP). He 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). The ASReview project was awarded the KNVI- Victorine van Schaickfonds Initiative Award.
Augmenting human minds: artificial intelligence and big data in risk assessment