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The Center for Long-Term Cybersecurity (CLTC) was established in 2015 as a research and collaboration hub in UC Berkeley’s School of Information. Both the CLTC and I School are part of the Division of Computing, Data Science, and Society (CDSS). Founded with a grant from the Hewlett Foundation, the CLTC serves as a hub for industry, academia, policy experts, and practitioners with research and programs...

Over the past 30 years, UC Berkeley statistics Professor Bin Yu has covered a lot of territory, both in her research field and in sharing her knowledge with others. And now she has used it to create a framework that she believes will lead to a more rigorous and trustworthy data science process, including the use of methods such as machine learning. Yu and her...

[[{"fid":"2148","view_mode":"width_400","fields":{"format":"width_400","field_file_image_alt_text[und][0][value]":"Big Ideas Contest","field_file_image_title_text[und][0][value]":"Big Ideas Contest"},"type":"media","field_deltas":{"2":{"format":"width_400","field_file_image_alt_text[und][0][value]":"Big Ideas Contest","field_file_image_title_text[und][0][value]":"Big Ideas Contest"}},"attributes":{"alt":"Big Ideas Contest","title":"Big Ideas Contest","style":"display: block; margin-left: auto; margin-right: auto;","class":"media-element file-width-400","data-delta":"2"}}]] The Data Science Discovery Program has partnered up with Big Ideas to award grants on its Data/AI track. The Data & AI track challenges teams to demonstrate how AI can improve, accelerate, and/or streamline the solutions to major societal challenges. Proposals should clearly demonstrate thoughtfulness across...

Berkeley Unboxing Data Science (BUDS) is a new Computing, Data Science, and Society (CDSS) summer program that immerses high school students in the world of data science and research. It aims to teach students not only how to perform data analysis, but also how to critically examine the data and technology in their daily lives. “It created a space for students of underrepresented minorities to...

When the Data Science Leadership Summit and the Academic Data Science Alliance (ADSA) convene their annual meetings virtually on Oct. 12-16, faculty and staff from UC Berkeley's Berkeley Institute for Data Science (BIDS) , the Data Science Education Program (DSEP), the Human Contexts and Ethics (HCE) program and the Division of Computing, Data Science, and Society will make key contributions to the back-to-back meetings. BIDS...

The goal of the research project is to build a citation network from any collection of PDFs. The project data mines a large collection of sources from the disciplines of ancient Near Eastern Studies, Classics, Archaeology, and Middle Eastern Languages. The results of the project make this collection more internationally accessible for research by scholars in these fields by creating novel tools for computational textual...

Foundations of Data Science (Data 8) typically starts the new semester in Zellerbach Hall to accommodate the class, which draws more than 1,000 students. Last spring, when UC Berkeley switched to remote learning to protect against COVID-19, Berkeley’s data science professors quickly transformed this large yet interactive course into a complete remote experience. “Last semester when we were forced to move everything online we began...

Jennifer Chayes started her new position as head of CDSS just weeks before the COVID-19 pandemic caused the campus to close and everyone to adjust to distance learning and working. In this Q&A, she talks about her first months on the job, how CDSS is growing and her vision for the organization.

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.

Berkeley, Calif.--The National Science Foundation has awarded $12.5 million to establish a multidisciplinary institute—a collaboration between UC Berkeley and MIT—to improve our understanding of critical issues in data science, including modeling, statistical inference, computational efficiency, and societal impacts.