Events

How archives and special collections can address the transition from analog to digital creation and the digital deluge.

This School was founded in 1918 on a strong social agenda; Professor Buckland will review the past 101 years of its mission.

Distraction versus learning with mobile devices in the classroom and student success

In 1918, UC Berkeley began a full-time program in library science. Join us to celebrate the 101st birthday and history of the I School, SIMS, SLIS, and School of Librarianship.

Join CTSP and IMSA to brainstorm ideas for projects that address the challenges of technology, society, and policy.

As AI and ML shape technology, how do we ensure that products are designed by and for people?

How the Center for Long-Term Cybersecurity’s Citizen Clinic is combating sophisticated attacks from governments, hate groups, terrorists, and multinational corporations.

Alternate policy approaches for stewardship of some classes of cultural materials in the current world.

Meet new friends and catch up with old on the rooftop deck of venture capital firm Accel

The most significant near-term applications for machine learning in archives and special collections.

Learn how Berkeley students are defending civil society organizations from cyberattacks, disinformation, and online abuse.

Cybersecurity policy webinar with Audrey Plonk and Amit Elazari of Intel.

The annual gathering for I School students, alumni, staff, faculty, and friends.

A fun run/walk/roll for the I School Community! Proceeds benefit Diversity & Inclusion Fellowships.

Honor the class of 2019 with keynote speaker Geoff Nunberg, student speakers, and presentation of the James R. Chen Awards and the Hal R. Varian MIDS Capstone Awards.

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.

Project presentations from Info 233. Social Psychology and Information Technology.

A conversation about “humans in the loop” who invisibly deliver on-demand task-based services and the lives of the people paid to train artificial intelligence.