Partnering with researcher Michael Mina of the Harvard T.H. Chan School of Public Health, Dr. Milind Tambe, Gordon McKay Professor of Computer Science & Director of the Center for Research in Computation & Society at Harvard University, was able to use AI algorithms to show that rapid antigen tests are more effective at stopping the spread of COVID-19 compared to PCR tests.

This clip is from a conversation with #ReelScience host and actor Eric Christian Olsen that dives into the many ways that AI can facilitate public health research, climate action, wildlife conservation, the COVID-19 pandemic recovery, & more.

This is part of an ongoing series called "Reel Science" produced by Harvard Chan C-CHANGE and the Environmental Media Association that pairs celebrities and scientists to discuss issues related to critical climate change and public health issues.

Learn more about Reel Science and Harvard Chan C-CHANGE: hsph.me/reel-science