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.

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Different institutions logistically or financially support this group.



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]

May 20, 2023

We have started a partnership with RGP to promote their articles [see]

April 21, 2023

Browse our NFTs collection [see]

April 8, 2023

Follow our Twitter account managed by ChatGPT [see]