Abstract

Data science and computing are becoming central to education, scholarship, and societal impact; indeed, they are being woven into the fabric of our society. Â I discuss how UC Berkeley is organizing its educational, research, and institutional structures to respond to the opportunities and challenges this creates.

Highlights

  • Data science and computing are becoming lenses through which we view and interpret the world, and a framework through which we interact with and alter the world

  • Data science and computing are becoming central to education, scholarship, and societal impact; they are being woven into the fabric of our society

  • There are societal mandates: As algorithmically-driven data platforms become the foundation for much of our economic, social, and political interaction, as well as our educational, public health, social welfare, and criminal justice systems, scholars in data science and computing must be in deep conversation with the rest of the university and with society more broadly

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Summary

Introduction

Data science and computing are becoming lenses through which we view and interpret the world, and a framework through which we interact with and alter the world. CDSS is in the process (a long process at the University of California) of becoming a new College, on par with the other Colleges at UC Berkeley—Letters and Sciences, Engineering, and several others It contains pieces from both Letters and Sciences and Engineering, as well as a professional school. The Data Science Education Program offers the Data Science major, a unique joint major of Statistics and EECS, with much of the curriculum developed by faculty in other units, from Human Context and Ethics to a host of domain disciplines. It is the fastest-growing major in the history of UC Berkeley. This is not meant to be exhaustive or definitive; it is a snapshot in time of my view of the potential of data science and computing, rooted in my decades of experience building multidisciplinary research groups and labs, deeply informed by my recent experiences here at UC Berkeley, and inspired by the hopes of what we and other institutions can build

What is Data Science?
Combining Computing and Data Science
Educational Opportunities and Responsibilities
The Core
The Breadth and the Promise
The Institutional Structure
Curriculum Development and Teaching
Faculty-Holding Groups
The Physical Structure
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