Yamir Moreno

Presentation


From Small to Big Data: The Physics of Human Behavior – PDF

Author: Yamir Moreno

University of Zaragoza

Physics has been extremely successful in describing our natural world, from very small to very large scales. However, as we will argue in this talk, the study of human collective behavior is not as easy as dealing, for instance, with ideal gases. The reasons are multiple, for example, we do not know the laws describing most human behaviors and in many dynamical processes details really matter. This calls for the analysis of human behavioral data, in some cases small, in others big, but also at intermediate scales. Through the description of three different examples of human collective behavior and using data at different scales, we will identify the experimental (data) and theoretical challenges in the study of social systems, and propose a way to tackle such problems.

Biography


Professor Yamir Moreno got his PhD in physics in 2000 from the University of Zaragoza, Spain. Shortly afterwards, he joined the Condensed Matter Section of the International Centre for Theoretical Physics in Trieste, Italy as a research fellow. Since 2003 he has been head of the Complex Systems and Networks Lab and is also affiliated to the Department of Theoretical Physics of the Faculty of Sciences at the University of Zaragoza. He is the deputy director of the Institute for Bio-computation and Physics of Complex Systems and member of its Government Board and Steering Committee.

Recently, he has been working on several problems such as: the study of nonlinear dynamical systems coupled to complex structures; transport processes and diffusion with applications in communication and technological networks; dynamics of virus and rumors propagation; game theory; systems biology (the TB case); the study of more complex and realistic scenarios for modeling infectious diseases; synchronization phenomena; the emergence of collective behaviors in biological and social environments; the development of new optimization data algorithms; and the structure and dynamics of socio-technical and biological systems.

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