Events

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.

A new report demystifies the research information management landscape with a first-of-its-kind documentation of US research university practices.

Mark Graham is the director of the Wayback Machine at the Internet Archive.

Daniella Lowenberg of the California Digital Library discusses integrity and ethical issues in data publishing and community-built resources.

Relevance has long been considered central to information science. A deeper analysis leads to a narrower, more precise definition.

Chris Hoshino-Fish introduces Delta Live Tables, an optimized system for data management in the cloud.

Implications of Carnegie Mellon’s Cloud Lab for research resilience, scholarly communication, data management, budgeting, and more.