Events

What implications does widespread biometric identification have on the future of privacy and surveillance?

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

Rob Sanderson is senior director for digital cultural heritage at Yale University, where he works to harmonize and provide access to research quality data, in a human-oriented way.

Coye Cheshire explores the trustworthiness of health information in online environments.

Jevin West breaks down the threats of scientific disinformation, predatory publishing and pseudoscience, the reproducability crisis, and generative AI.

Jevin West studies misinformation and how it spreads in science and society.

What implications does widespread biometric identification have on the future of privacy and surveillance?

Join the High Commissioner and the Berkeley Human Rights Center for the official launch of the Berkeley Protocol on Digital Open Source Investigations.

The Open Book Collective is a partnership of open access publishers, infrastructure providers, libraries, and other non-profit organizations.

Derek Manky is the chief security strategist & VP of global threat intelligence at Fortinet.

The concept of relevance is central to information studies but has resisted clear analysis.

Alvitta Ottley examines the role of machine learning algorithms in expediting visual analysis, revealing data patterns, and fostering the discovery of novel insights — and confronts the risks of data bias, interpretability, and user trust.

Ron Day explores a new philosophy of information and documents based on Robert Pagès, Bernd Frohmann, and Suzanne Briet.

Clifford Lynch summarizes recent report releases and other publications and conference reports.

Drawing from work in law and design, Ryan Calo uses dark patterns, robots, generative artificial intelligence, and other examples to evidence the problem of socio-digital vulnerability.

Narges Mahyar discusses community-centered tools that empower the general public to engage in real-world sociotechnical problems.

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.

Graduating 5th Year MIDS students present their data science projects.

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

Diag Davenport outlines an unexpected pattern of bias underlying officers’ choices to use or not use an algorithmic risk score.