Mobility Data Used to Respond to COVID19 Could Be Biased

Amanda Coston and Prof. Alexandra Chouldechova

Join researchers Amanda Coston and Prof. Alexandra Chouldechova as they dive into the first independent audit of demographic bias of a smartphone-based mobility dataset (SafeGraph) used in the response to COVID-19. The researchers attempt to identify a sampling bias in the SafeGraph data that underrepresents high-risk groups.

Other seminars

How different measures of social media have distinct ways of impacting foot traffic to retail brands

Thomas Weinandy

Social Distancing, Internet Access and Inequality


The Data Science of COVID-19 Spread: Some Troubling Current and Future Trends

Rex Douglass

How Safegraph Data is Empowering Cities In COVID-19 Response and Beyond

Al Hleileh, Frank Lagoe and Derek Ouyang