News

News

September 21, 2020

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. 

September 10, 2020

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.

September 8, 2020

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.

September 1, 2020

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.

August 25, 2020

The National Science Foundation (NSF) and Simons Foundation awarded $10 million to a UC Berkeley-led program to gain a theoretical understanding of deep learning. Berkeley staff are also involved in a second project funded at $10 million.

August 20, 2020

The Division of Computing, Data Science, and Society (CDSS) introduced a new course this summer to its offerings, Data 6. Berkeley undergraduate student Ian Castro (Media Studies and Microbial Biology, class of 2021) will be teaching the course offered to incoming Berkeley SEED Scholars students.

August 17, 2020

Although shelter-in-place rules in Berkeley and across the country caused people to shut down their travel plans, the restrictions also led to a wide-open welcome to educators interested in attending UC Berkeley's third annual National Data Science Education Workshop. And the effects are still rippling out around the state and across the country.

August 13, 2020

The COVID-Twitter Project, created by Ameek Bindra (Berkeley ‘22) and a team of undergraduates across the country, analyzes tweets about COVID-19 to map how reactions to the pandemic changed over the months. According to Ameek, the Discovery Exchange provided invaluable resources and guidance that helped the project come to fruition.

August 11, 2020

Associate Provost Jennifer Chayes and Dean Dan Huttenlocher (MIT), in discussion with Professor Jitendra Malik and Professor Michael I. Jordan (both of UC Berkeley), are featured as part of BAIR's Distinguished Lecture in Place Series: MIT and Berkeley Perspectives on the Future of AI Research and Education.

August 5, 2020

The Discovery Exchange would not be possible without the people who helped make the online hub into what it is: a summer program that provides undergraduate students with the support, community, and resources to engage in data science research remotely. Among them is Arlo Malmberg, who facilitated and advised student research teams. 

As the world faces the most profound and deeply disruptive public health crisis in modern history—COVID-19—our scientific research communities are navigating a series of unknowns against a complex backdrop where responsible data science is more important than ever, write four leading University of California, Berkeley experts in a recent paper.

July 21, 2020

Spearheaded by four graduate students from the UC Berkeley Goldman School of Public Policy, Mapping for Environmental Justice (MEJ) integrates environmental, health, and socioeconomic data of US communities into a holistic and interactive public map.

July 7, 2020

COVID-19 has impeded many opportunities and has resulted in students feeling isolated and uninspired.

The demand for data scientists continues to surge with advances in technology and medicine requiring the skills to analyze, store, and protect data. Data scientists topped LinkedIn’s “Emerging Jobs Report” over the last three years, reporting a 37% annual growth in the 2020 report. The demand is even exceeding the pool of trained data scientists, according to a 2019 Dataconomy report. 

June 29, 2020

The Spark + AI Summit 2020 is the largest gathering bringing together data teams in the Apache Spark™ community. As described by the Spark + AI Summit host, Databricks, the "sessions, and training will cover data engineering and data science content, along with best practices for productionizing AI — keeping training data fresh with stream processing, quality monitoring, testing, and serving models at a massive scale."

June 24, 2020

Sage Ocean

This article was written by Jae Yeon Kim, a computational social scientist and PhD candidate in Political Science at UC Berkeley. 

June 15, 2020

As the demand for data science research continues to increase, research institutions are taking a closer look at how to create an institutional strategy around data science research. UC Berkeley has been a leader in this area beginning with its Moore-Sloan Data Science Environments project. 

June 1, 2020

The UC Berkeley Data Science Class of 2020 has officially graduated! There are so many reasons to be proud of this brilliant, diverse group — 331 students graduated this spring with a degree in Data Science, of which 143 were double majors, and 40% of the graduates were women. The number of women graduating with a Data Science degree continues to increase with each graduating class. The Data Science Major and Minor were formed during the Class of 2020’s journey at Cal. They experienced first-hand the surge of enthusiasm for data science, both at UC Berkeley and worldwide.

May 15, 2020

Students Michael Huang, Neha Hudait, Alan Liang, Arth Vidyarthi, Adhithya Basker and Lyle Lalunio worked with UCSF to apply deep learning to echocardiograms to detect heart disease. 

Growing up in Los Angeles, Rucha Kelkar initially wanted to attend college out-of-state. She decided on Berkeley for its diversity in technology and computer science opportunities. She initially struggled to select a major, ultimately declaring Data Science with a Cognition emphasis. Data Science allowed Rucha to combine multiple fields as she was interested in the intersections of data science and neuroscience, computer science, and psychology. “Data science allowed me to learn from the best professors in all of these fields!”