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AAAS Session on Predictability: From Physical to Data Sciences

February 16, 2013. Boston, MA. The upcoming AAAS annual meeting will include a session focusing on understanding human systems and networked social phenomena using predictive tools from the physical sciences. Experts will speak on applying physical science tools to uncover and explain the mechanisms that drive collective social phenomena. The session is organized by Albert-Laszlo Barabasi, Northeastern University. Speakers will include:
Dirk Helbing, Swiss Federal Institute of Technology, Towards Simulating the Foundations of Society
Chaoming Song, Northeastern University, Limits of Predictability in Human Mobility
Marta Gonzalez, Massachusetts Institute of Technology, Understanding Road Usage Patterns in Urban Areas
Alessandro Vespignani, Northeastern University, From Human Mobility to Real Time Numerical Forecasts of Global Epidemic Spreading
Dirk Brockmann, Northwestern University, Are Pandemics Predictable?
Boleslaw Szymanski, Rensselaer Polytechnic Institute, On the Influence of Committed Minorities on Social Consensus

For more information: http://aaas.confex.com/aaas/2013/webprogram/Session5856.html