Samuel V. Scarpino is a complex systems scientist investigating questions at the intersection of network science and human behavior. His work spans a broad range of topics, including: infectious disease modeling, group dynamics, forecasting in complex systems, the genetic topology of disease, traffic routing, and decision making under uncertainty. Sam‘s publications on Ebola, whooping cough, and influenza have been covered by the New York Times, NPR, the Economist, Smithsonian Magazine, and numerous other venues. He is currently an Assistant Professor of Mathematics & Statistics and is a core faculty member in the Complex Systems Center at the University of Vermont. Sam earned a Ph.D. in integrative biology from The University of Texas at Austin in 2013 and was a Santa Fe Institute Omidyar Postdoctoral Fellow from 2013 – 2016.
LECTURE: Towards a Complex Systems Theory of Outbreaks
LECTURE: Game Theory: from computer simulations to social experiments.