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.

See this description in Spanish.

Different institutions logistically or financially support this group.



November 18, 2022

Second Data Lab Workshop

November 10, 2022

Local government indicators repository

July 2, 2022

We have signed DORA

March 22, 2022

Tufte Working Papers have been indexed in Latindex

July 27, 2021

VIP Project: Machine Learning in Public Policy and Economics