Samuel V. Scarpino

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 


 Julia Poncela-Casasnovas

Julia Poncela-Casasnovas is a Physicist by training. She got her PhD doing a computational study of the impact of different synthetic network topologies on the outcomes of cooperation dynamics within the framework of Game Theory. She interested in computational and statistical modelling of different processes on social networks​, and more generally, (what you call these days Computational Social Science. She has worked on projects such as the spreading of medical technology among doctors, or the connection between individuals’ embeddedness in a social network and their healthy/unhealthy outcomes like obesity. She also has experience with lab-in-the-field social experiments, specifically, using Game Theory to classify people according to different types of behavior. Julia is currently working on several projects connecting science of science, success, and collaboration networks.

LECTURE: Game Theory: from computer simulations to social experiments.


 Filippo Radicchi