Berkeley's Computing and Data Science In Action

COVID-19 Response & Recovery

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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.

Past Events

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COVID-19 misinformation

With the COVID-19 virus spiking worldwide and the need for accurate information about it more important than ever, four data science experts from UC Berkeley held an online discussion on the origins, amplification and impacts of the current infodemic of mis- and disinformation that is jeopardizing measures to control the pandemic.

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Tracking, data privacy, and getting the numbers right

As plans for re-opening businesses, communities, and schools emerge, mechanisms to track the SARS-COV-2 virus become increasingly critical to consider. In this conversation led by Nobel Laureate Saul Perlmutter, Director of the Berkeley Institute for Data Science and Professor of Physics, Berkeley faculty will present their recent research findings and data on COVID-19 infection and death rates.

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Understanding and seeking equity amid COVID-19

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.

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Making sense of data, social distancing, and what lies ahead

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.

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Creating informed responses

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.