The order and organization of a complex system emerges from the interaction between the units that make it up. Human societies are examples of complex systems and we, with our interactions, are the units that give life to them. However, we are not just gears of a system, nor is society the mere sum of us.

Faced with the methodological reductionism of some disciplinary approaches, the Doctorate in Social Complexity Sciences proposes to study these systems from an interdisciplinary approach where theoretical frameworks and methodological tools from the social sciences are combined with others from the basic sciences. In this way, the program is presented as a space for training and generating knowledge that draws on the disciplinary diversity of both its academic body and its students.

– Jorge Fábrega, Director DCCS.

Strong training in Quantitative Methods – Effective Interdiscipline

The program incorporates elements of various social sciences —economics, political science, anthropology, evolutionary psychology, social neuroscience— in order to study human behavior from a unifying perspective, ranging from the neurobiological systems underlying the process of making decisions, to the historical evolution of institutions.

On the methodological training of PhD students, the emphasis is on the mathematical modeling of social phenomena (game theory, network analysis, computer simulations), and quantitative empirical analysis (experimental methods, econometrics, data mining, spatial analysis).