This research group focuses on data science applications in social sciences in three interconnected areas: data mining, econometric modelling and machine learning. On the one hand, we pursue gathering data with mining techniques in order to elaborate econometric models with observational or matching techniques.
On the other hand, we focus on training models with both machine and deep learning and labelling data sets for different projects. The latter allows us to classify non-coded data using trained models backed by human validation workflow, which improves the AI learning processes.
Different institutions logistically or financially support this group.
Our coordinator was awarded the Slicher van Bath prize by CEDLA at the University of Amsterdam [see]July 1, 2023
CfP special issue in RGP on Artificial Intelligence and Algorithmic Governance [see]June 1, 2023
All quarterly series of CPS-Ranking are now available on our website [see]May 24, 2023
Check out Alejandro Olivares' paper in Governance [see]