The Laboratory for of Socio-historical Dynamics Simulation (LSDS) of UAB, has the goal to coordinate, promote and disseminate activities nested in UAB, related with computational simulation of social systems. Also, the Laboratory offer services of consulting and training to public and private organisations, involved in research and management, which use simulation methodologies, or experimentation in virtual social environments.

El Laboratori de simulació de dinàmiques socio-històriques (LSDS) de la UAB té com a objectiu fer difusió, promoure i coordinar les activitats que es porten a terme a la UAB relacionades amb la simulació computacional de sistemes socials. Igualment, ofereix serveis d'assessorament i formació a organismes públics i privats implicats en recerca i gestió que utilitzin metodologies de simulació o experimentació en entorns socials virtuals. 

El Laboratorio de simulación de dinámicas socio-históricas (LSDS) de la UAB tiene como objetivo difundir, promover y coordinar las actividades que se llevan a cabo en la UAB relacionadas con la simulación computacional de sistemas sociales. También, ofrece servicios de asesoramiento y formación a organismos públicos y privados implicados en la investigación y gestión, que utilizan metodologias de simulación y experimentación en entornos virtuales.

"What methodology would social scientists adopt if we could start over?... We are living through several simultaneous revolutions in the social sciences: big data, human subjects experiments, network science, and exponentially-growing computer hardware and software. Each of these has the potential to alter the methodologies employed by social scientists, and taken together they have the potential to revolutionize what we do. But we still teach students about rational actors, econometrics based on aggregate data (instead of micro-data), equilibrium, well-mixed interactions (no networks), and how to do analytical, pen-and-paper calculations. In this talk I ask, were we able to start over, would we even bother with Nash equilibria, perfect information, common knowledge, frictionless markets, and so on? If an alternative grounding for social theory exists, what are the barriers to its adoption today? Specifically, could relatively simple, heterogeneous agents who interact directly with one another via networks or space, away from equilibrium, serve as an alternative foundation for a modern, computationally-enabled social science?".
Robert Axtell

Short UAB video presentation (in catalan)



Campus d'excel·lència internacional U A B