Computational and Statistical Tools to Control a Pandemic | Theoretically Speaking

In the first online event in our Theoretically Speaking series of public lectures, Simons Institute Associate Director Peter Bartlett moderated a panel discussion exploring the role that computational and statistical tools can play in supporting policy makers as they formulate and assess policies to control COVID-19. 

The event brought together experts in network science, data-driven modeling, and feedback control theory to discuss how these tools might help to understand the progress of an epidemic, to forecast its future course, to infer properties of a disease, and to choose public policy responses.

Taking part in the conversation were Klaske van Heusden (University of British Columbia), Madhav Marathe (University of Virginia), Ankur Moitra (MIT), Shai Shalev-Shwartz (Hebrew University of Jerusalem), Anil Vullikanti (University of Virginia), and Bin Yu (UC Berkeley).

Theoretically Speaking is a lecture series highlighting exciting advances in theoretical computer science for a broad general audience. 

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