We bring together programs, schools, and departments from across campus to create rich educational opportunities and ignite groundbreaking research to meet society's greatest challenges.
Jennifer Chayes is Associate Provost of the Division of Computing, Data Science, and Society (CDSS) at UC Berkeley, which comprises EECS, Statistics, BIDS, the Data Science Education Program, the Center for Computational Biology, and the School of Information, for which she is also Dean. In this Q&A she talks about the need for an organization like CDSS and how data science can help tackle some of the world's most pressing problems.
Our Division is proud to be among the sponsors for the Big Ideas Contest in the Data and Artificial Intelligence (AI) track. Interdisciplinary student teams are welcome to submit ideas on how to use data and AI to solve a major social challenge. Submissions are due by Nov. 20th.
Data voids on social networks are spreading misinformation and causing real-world harm. When there are high levels of demand for information on a topic, but low levels of credible supply is known as a data void. Data voids were first defined by Michael Golebiewski and danah boyd (Berkeley School of Information Ph.D. ) in 2019.
The Computational Social Science Forum was launched in Fall 2020 to provide an informal setting for the interdisciplinary exchange of ideas and scholarship at the intersection of social science and data science. Weekly meetings are hosted by researchers from BIDS and D-Lab, and participants engage in a variety of activities such as presentations of work in progress, discussions and critiques of recent papers.
The San Diego Supercomputer Center (SDSC) at UC San Diego and its partners at UC Berkeley and the University of Washington, and Strategic Blue have entered production operations of the National Science Foundation (NSF)-funded CloudBank program, which aims to simplify the use of public clouds across computer science research and education.
