Berkeley's Computing and Data Science In Action
COVID-19 Response & Recovery
The Division of Computing, Data Science, and Society and the Berkeley Institute for Data Science are sponsoring a series of interactive discussions offering a look at what researchers are learning as they mobilize computing and data science to take on the COVID-19 challenge. Watch past conversations and learn about what's coming up below!
This series is part of Berkeley Conversations: COVID-19.
Join us Wednesday, May 13 for COVID-19 - Tracking, Data Privacy and Getting the Numbers Right, a conversation with UC Berkeley researchers leveraging computing and data science to support COVID-19 response and recovery.
Jennifer Chayes, associate provost of the Division of Computing, Data Science, and Society and dean of the School of Information, spoke with three UC Berkeley faculty about how data can be used to combat racial health disparities, rather than perpetuate them.
This Q&A with School of Public Health Professor Art Reingold and CDSS Associate Provost Jennifer Chayes focuses on helping the public make sense of data and information about the virus’s spread, the impact and efficacy of social distancing, and the implications for our short- and long-term future.
Nobel Laureate Saul Perlmutter, Director of the Berkeley Institute for Data Science, and Michael Lu, Dean of the Berkeley School of Public Health, moderate a roundtable discussion with Berkeley computing and data science researchers on critical aspects of COVID-19 response and recovery, from helping local public health officials track the pandemic to predicting and addressing its impacts on employment and elections.