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Robert Fales isn't a data scientist. He only signed up for the data science-focused sociology class because he wanted to work with Professor David Harding, a leader in the social science field. But once Fales started using data science tools to analyze education inequality data, he knew he'd be using them to transition sociology from his major to his career. “That class really opened the...

The Master of Information and Data Science (MIDS) program at UC Berkeley ranked #2 among online data science master’s degree programs by Fortune magazine, released on January 19, 2022.

At UC Berkeley, the Berkeley Institute for Data Science (BIDS), the Data Science Discovery program and the Graduate School of Journalism are working with the California Reporting Project to help develop and automate a statewide database of police misconduct records that can be easily accessed by news organizations and the general public. The database project began in 2018 and is funded with a $1 million...

As more colleges and universities launch data science courses and programs, there is an increasing effort by schools to collaborate so that course credits can transfer with students as they transfer to other institutions.

This fall, UC Berkeley’s Division of Computing, Data Science, and Society moved one step closer to becoming a college. The University of California’s Office of the President reviewed the division’s pre-proposal, clearing the way for CDSS to revise and seek review of a final proposal laying out its detailed vision and plan for the school. If that is approved, CDSS would be the first new...

UC Berkeley will open a new Kavli Center for Ethics, Science, and the Public, creating space for interdisciplinary discussions about scientific discoveries, the ethics of that research and the public’s role in determining science’s trajectory, the university announced today.

The Berkeley Institute for Data Science has hired Ashish Sahni to be its new executive director starting in January, the institute announced Friday.

Long used in business, research design based on causal modeling studies “what causes what to move around” and is key to microeconometric research, which looks at the economic behavior of individuals, households, organizations or companies. A classic example is when businesses test marketing ideas through A/B tests, giving different consumers different options for buying the same item.

As artificial intelligence (AI) takes on an ever-higher profile in discussions about the economy, social and political issues and what the future holds, a trio of data science experts are calling for a reset in our mindset, and point to a 1950 paper written by noted mathematician Alan Turing.

Emma Lurie, a third-year Ph.D. student in UC Berkeley’s School of Information, found her academic calling in the political campaigns waged during the 2016 elections. Her relatives and other people she knew were deluging her with political emails that, to her, were blatantly untrue.