Exploratory of society
A huge flow of quantitative social, demographic and behavioral data is becoming available that traces the activities and interactions 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 comprehensive 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 scenario 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 management approaches to socio technical systems, supporting future decision making procedures by accelerating the scientific cycle that goes from data generation to predictions.
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- 2.D. Kossman, et al., Eur. Phys. J. Special Topics 214, 77 (2012)Google Scholar
- 5.P. Bajardi, C. Poletto, D. Balcan, H. Hu, B. Goncalves, et al., Emerging Health Threats 2, e11 (2009)Google Scholar
- 10.M. Conover, B. Goncalves, J. Ratkiewicz, A. Flammini, F. Menczer, Third IEEE International Conference on Social Computing, 192 (2011)Google Scholar
- 13.P.S. Dodds, C.M. Danforth, J. Happiness Studies 11, 444 (2010)Google Scholar
- 17.The science of civil war, The Economist printed edition, April 21st, 2012Google Scholar
- 26.J.V. Henderson, A. Storeygard, D.N. Weil, NBER Working Paper No. w15199 (2009)Google Scholar
- 28.P. Keefer, N. Loayza, Terrorism Economic Development, and Political Openness (Cambridge University Press, Cambridge, 2008)Google Scholar
- 29.Y. Kim, Space-Time Measures of Crime Diffusion. In LiuL., EckJ. (eds.), Artificial Crime Analysis Systems: Using Computer Simulations and Geographic Information Systems. Information Science Reference (2008), p. 140Google Scholar
- 32.J. Ratkiewicz, M. Conover, M. Meiss, B. Goncalves, S. Patil, A. Flammini, F. Menczer, WWW 2011, 249 (2011)Google Scholar