Social Data

This research line brings together specialists in computer science, statistics, and social sciences to study complex social phenomena using advanced data analysis techniques. The main focus is to develop innovative diagnostic tools that integrate multiple variables and disciplinary perspectives.

Multimodal Data

This line focuses on the study of knowledge graphs and multimodal data, with the goal of developing a functional graph database engine and exploring new processing techniques for graphs that integrate different types of data (text, images, audio, video, etc.).

Emerging Requirements

This line seeks to establish the theoretical and practical foundations upon which future data-centric platforms and systems will be built. It focuses on anticipating emerging requirements—such as efficiency, explainability, expressiveness, fairness, privacy, among others—and developing tools capable of addressing them.

robust information structures

This line addresses the challenges related to disinformation, hate speech, and polarization, proposing computational and social solutions to strengthen the quality of information systems and promote a more balanced understanding of reality.