Berkeley Data Science Students, Journalism Faculty Building Public Database of Police Misconduct

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...

California Alliance Aims to Streamline Data Science Education at Colleges and Universities

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.

Division of Computing, Data Science, and Society at Berkeley Moves Closer to Becoming a College

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 to House New Kavli Center on Ethics, Science

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.

Ashish Sahni to Join BIDS as Its New Executive Director

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

Data Science Class Ends Semester with Talk by Economics Nobel Laureate David Card

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.

Data Scientist Michael Jordan Calls for a More Economics-Aware Approach to AI

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.

An interesting proposition: Do online searches serve up biased results regarding California ballot propositions?

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.

D-Lab: A community with inclusion at its core

While taking a statistics class as part of her joint JD/PhD program at UC Berkeley, Renata Barreto realized she needed to use Python programming for assignments. So she looked for help refreshing and deepening those skills.

Looking to better algorithms to push back against built-in bias in online platforms

Sitting on a stage at the University of California, Berkeley amid four computer scientists, award-winning international artist and performer Angelique Kidjo took aim at social media platforms and the algorithms behind them for the harm they are inflicting on people and culture while racking up massive profits in the process.