Events

Graduating master’s students present their intriguing research projects and innovative new information systems. A panel of judges will select outstanding projects for the James R. Chen Award.

Adjunct professor Geoffrey Nunberg passed away on August 11, 2020. He was a dear colleague, teacher, mentor, and friend — brilliant, generous, thoughtful, witty, and kind. He is deeply missed. Join us online for a tribute to his life.

Danielle Cooper discusses Ithaka S+R’s research on scholarly information and technology practices that foster successful data sharing in data communities.

Are you and your organization taking advantage of the opportunities created by the flood of new data? The DataEDGE conference will bring you up to speed on the data revolution.

Olivier Le Deuff and Rayya Roumanos are professors at Bordeaux Montaigne University visting UC Berkeley.

Graduating MIDS students present their data science projects. A panel of judges will select an outstanding project for the Hal R. Varian MIDS Capstone Award.

School of Information Ph.D. students share their innovative research.

Faculty, administrators, students, and activists explore the roles of surveillance and policing in the classroom, on campus, and in the community.

A panel of experts analyze a series of artificial intelligence controversies, including discrimination lawsuits, facial-recognition legislation, emotional manipulation, illegal electioneering, vaccine disinformation, environmental degradation, and even genocide.

Graduating MICS students present their cybersecurity projects. A panel of judges will select an outstanding project for the Lily L. Chang MICS Capstone Award.

Roger Schonfeld reviews recent concerns about research misconduct, publishing fraud, and misinformation and discusses potential policy responses.

How do we know whether AI is treating us fairly and whether its assessments are objective?

Wayne de Fremery of Sogang University in South Korea develops new technologies for investigating Korean literature and documentary traditions.

Srijith Rajamohan walks through the foundations of scalable machine learning, from data provenance to model deployment and monitoring.

The rapid evolution of data scraping technologies is forcing us to reconsider some evergreen questions.

How would information studies and information services benefit from drawing more on the humanities?

How can or should research universities support data science tools and techniques as a research support service, alongside research data management and curation?

24-hour fundraising drive

Join us for a series of events celebrating Women in Data Science at UC Berkeley.

Chris Hoofnagle explains the genesis of quantum information science and considers how policymakers might anticipate the benefits and risks of quantum technologies.