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.



March 18, 2023

Digital activism and protests project [see]

March 1, 2023

Toxicity in social media project [see]

November 18, 2022

Second Data Lab Workshop

November 10, 2022

Local government indicators repository [see]

October 16, 2022

Check out our coordinator's publication in the BJPIR [see]