Once students have completed their methodological and disciplinary training , the student will be introduced to areas of study in which the student could potentially develop their thesis work .
The traditional notion of incompatibility between social sciences and natural sciences has impeded a deep understanding of social interaction. Against this tradition, science has accumulated evidence that social interaction is conditioned by biological, psychological, cultural, economic and institutional aspects.
The students of the program, from their entry, are inserted in projects associated with two lines of research:
- Fundamentals of Cognition and Social Behavior (Foundations of Social Cognition and Social Behavior). From the use of experimental techniques (using the paradigm of the Experimental Game Theory) and, in the case of neuroscience studies, complemented with fMRI, EEG and TMS records, both in the laboratory and in the field (for this purpose the students have a mobile laboratory that has 50 tablets in a network), and informed by interdisciplinary bodies, such as evolutionary psychology, biological anthropology and political economy, the psychological mechanisms (and their neurobiological basis) are studied ) that underlie emergent behavior patterns in contexts of social interaction at the micro or meso level.
- Computational Social Sciences (Computational Social Sciences). Through techniques such as multivariate analysis, data mining (Data Mining), automated learning (Machine Learning) or natural language processing (Natural Language Processing) and making use of the information available from the registration of our fingerprint (p .ej., Twitter, cellular networks, Web of Science), together with modeling techniques such as agent-based simulation or network analysis, study complex dynamics associated with the formation of mutual support networks and the dissemination of ideas.