2020 Virtual Leadership Roundtable
The Intersection of Data Science and Education
Guests learned about the intersection of data science and education and Berkeley’s place at the forefront of a revolution in how data science is taught and used across a wide range of academic disciplines.
E.H. and Mary E. Pardee Professor; Dean, Graduate School of Education
Prudence Carter’s primary research and teaching agenda focuses on causes of and solutions to enduring social and cultural inequalities in schools and education. Carter’s expertise ranges from issues of youth identity, race, class, gender, urban poverty, social and cultural inequality, the sociology of education as well as mixed research methods. Specifically, she examines academic and mobility differences shaped by the effects of race, ethnicity, class, and gender in the United States and around the world.
Associate Provost, Division of Computing, Data Science, and Society; Dean, School of Information
Before joining UC Berkeley, Jennifer Chayes was at Microsoft for over 20 years where she was technical fellow, founder, and managing director of three interdisciplinary labs. Chayes has received numerous awards for both leadership and scientific contributions and is a member of the American Academy of Arts and Sciences and the National Academy of Sciences. Chayes’s research areas include phase transitions in computer science and structural and dynamical properties of networks, including modeling and graph algorithms. Her recent work focuses on machine learning, including both theory and applications in cancer immunotherapy, ethical decision making, and climate change.
Assistant Vice Chancellor for Public Affairs