A huge flow of quantitative social, demographic and behav-ioral data is becoming available that traces the activities and interac-tions of individuals, social patterns, transportation infrastructures and travel fluxes. This has caused, together with innovative computational techniques and methods for modeling social actions in hybrid (natural and artificial) societies, a qualitative change in the ways we model socio-technical systems. For the first time, society can be studied in a com-prehensive fashion that addresses social and behavioral complexity. In other words we are in the position to envision the development of large data and computational cyber infrastructure defining an exploratory of society that provides quantitative anticipatory, explanatory and sce-nario analysis capabilities ranging from emerging infectious disease to conflict and crime surges. The goal of the exploratory of society is to provide the basic infrastructure embedding the framework of tools and knowledge needed for the design of forecast/anticipatory/crisis man-agement approaches to socio technical systems, supporting future de-cision making procedures by accelerating the scientific cycle that goes from data generation to predictions.
Exploratory of Society
Springer Verlag (distrib.),, Heidelberg , Francia
The European physical journal. Special topics (Online) 214 (2012): 347–360. doi:10.1140/epjst/e2012-01698-7
info:cnr-pdr/source/autori:Cederman, L-E.; Conte, Rosaria; Helbing, Dirk; Nowak, A.; Schweitzer, F.; Vespignani, Alessandro/titolo:Exploratory of Society/doi:10.1140/epjst/e2012-01698-7/rivista:The European physical journal. Special topics (Online)/anno:2