Computational Modelling of Social Dynamics

Social phenomena are inherently dynamic since individual choices both influence and are influenced by other decisions. Trying to figure out how these types of interdependencies bring about different collective patterns is my principal research topic.

Interdependent decisions

Ethnic residential segregation, school segregation, aggregated tax fraud, misinformation diffusion are examples of collective behavior brought about through complex individual interactions at the micro level. From an analytical sociology point of view, the first step in order to explain these macro collectivities consists of breaking down each particular decision and figure out how these different dimensions (exogenous and endogenous) interact with each other when they are carried out.

Computational modelling

As a consequence of its flexibility to integrate both adaptive and heterogeneous agents, agent-based modelling (ABM) is a well suited tool to conduct these types of analyses through the implementation of artificial worlds wherein the agents follow certain types of rules – empirically calibrated - and are able to interact with each other.

Academic exam

  • 2010-2013 DPhil Sociology, Universitat Autònoma de Barcelona.Thesis: A dynamic study about rumor diffusion
  • 2009-2010 MSc Applied Research in Sociology, Universitat Autònoma de Barcelona Thesis: Rumors and credibility
  • 2001-2005 BA Sociology,Universidad Nacional Federico Villarreal

International Membership

  • An external member of the GSADI (Analytical Sociology and Institutional Design)

Teaching

  • Agent-based modelling (NetLogo).