The Division of Computing, Data Science, and Society (CDSS) at UC Berkeley is advancing foundational research and educating the next generation of scientists and practitioners to leverage computing and data to take on pressing societal problems. In recent history, no societal challenge has been as far-reaching and critical as the COVID-19 pandemic. Solutions to this complex, global challenge will stress many aspects of computing and data science, from analysis of sparse, biased, and variable data; to simulation of large networks of human interaction; to sifting through biological and chemical data to find treatments and vaccines; to influencing both policy makers and public opinion more broadly.
In this talk, Professor Jennifer Chayes will describe the overall vision of CDSS and how it is transforming education and research at UC Berkeley, building bridges across a diverse set of programs, and disrupting the traditional siloed university structure. The emergence of the COVID-19 pandemic has accelerated ramp-up of this new Division and the interdisciplinary research and collaboration it fosters. It also has highlighted the importance of delivering inclusive, rigorous data science education at scale, a hallmark of the Berkeley program. I will draw on examples from across campus of how computing and data are being used to address the pandemic, and how these challenges will stress the scale, performance, privacy, and resilience of the underlying data systems, driving a next generation of requirements for systems like Spark.
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Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
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