Description:

Visualizations of confirmed cases and deaths are everywhere, but can they all be trusted? How can a visualization convey a clear message about COVID-19 while faithfully conveying uncertainty around available estimates?   Dr. Jessica Hullman, a professor of computer science and journalism at Northwestern University, and Dr. Matthew Kay, a professor of information at the University of Michigan, will critique popular visualizations of COVID-19 and discuss interpretation pitfalls as well as successful strategies for visualizing uncertainty.

This webinar will be available through WebEx at this LINK.  Please use the following passcode when accessing: 1234.  The talk will begin at 12 PM CT on Tuesday, March 31

This is part of Northwestern Buffett's Confronting COVID-19: Global Implications and Futures webinar series.