AI for Social Impact - Jure Leskovec

Join Jure Leskovec, associate professor of computer science at Stanford University, chief scientist at Pinterest, and investigator at Chan Zuckerberg Biohub, for a talk, "Mobility Networks for Modeling the Spread of COVID-19: Explaining Infection Rates and Informing Reopening Strategies" as part of the AI for Social Impact Seminar Series, hosted by Penn State's Center for Socially Responsible Artificial Intelligence.

This lecture will be held on Zoom, 2:30-3:30 p.m. Friday, April 23, and is free and open to the Penn State community.

About the talk

In this talk, Leskovec will demonstrate how fine-grained epidemiological modeling of the spread of coronavirus — predicting who gets infected at which locations -- can aid the development of policy responses that account for heterogeneous risks of different locations as well as the disparities in infections among different demographic groups. His team uses U.S. cell phone data to capture the hourly movements of millions of people and model the spread of coronavirus from among a population of nearly 100 million people in 10 of the largest U.S. metropolitan areas. They show that even a relatively simple epidemiological model can accurately capture the case trajectory despite dramatic changes in population behavior due to the virus. They also estimate the impacts of fine-grained reopening plans: they predict that a small minority of superspreader locations account for a large majority of infections, and that reopening some locations (like restaurants) pose especially large risks. They also explain why infection rates among disadvantaged racial and socioeconomic groups are higher. Overall, Leskovec's model supports fine-grained analyses that can inform more effective and equitable policy responses to the coronavirus.