Upcoming Events
Colloquium on Computational Social Science/Computational Data Sciences
Oct 16, 2020, 3:00 - 4:30 PM
The Dynamics of Network Models of Disease Spread: Christopher Wolfram
The COVID-19 pandemic has encouraged significant development in models of disease spread. Agent-based network SIR models have become particularly popular, owing to their simplicity and their ability to easily simulate policy proposals. The goal of this project is to develop a general network SIR model which can be used to study the parameter space of network SIR models, allowing us to understand the relationships between modeling assumptions and behavior, and to find behavior that is robust to changes in modeling assumptions.
Christopher Wolfram is a computer scientist specializing in complex systems, geography, and digital humanities. He has worked on projects ranging from Mathematica’s cryptography functionality to the code behind the 2016 movie Arrival to analysis of the growth of historical societies and has presented his work at events including SXSW and Maker Faire New York. Christopher is currently working to analyze commuting data to better understand the structure of cities while he studies mathematics at Brown University.
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Access code: 161 962 8856