News

News

October 22, 2020

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.

October 14, 2020

Mapping for Environmental Justice (MEJ) creates easy-to-use, publicly-available maps that paint a holistic picture of intersecting environmental, social, and health impacts experienced by communities across the US. MEJ's maps combine environmental, public health, and socioeconomic data into a single indicator that reflects the combined impacts of race, poverty, and pollution that low-income communities, communities of color, and historically marginalized communities experience.

October 9, 2020

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 learn about research and data science,” Ashley Quiterio, the program coordinator of BUDS, explains.

October 8, 2020

When the Data Science Leadership Summit and the Academic Data Science Alliance (ADSA) convene their annual meetings virtually on Oct.

October 7, 2020

September 29, 2020

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 analysis.

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

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.

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. 

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.