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.
- Letter from the Director, June 2020
- Berkeley in the 80s: Manuel Blum
- Simons Institute Polylogues: Algorithms and Race
- Differential Privacy: Issues for Policymakers
- From the Inside: The Quantum Wave in Computing
- From the Inside: Lattices: Algorithms, Complexity, and Cryptography
- Research Vignette: Generalization and Interpolation
- Research Vignette: The Many Dimensions of High-Dimensional Expanders
- Cooks, in Theory