sather-gate-events-header.jpg

Events

Upcoming events

Thursday, September 3, 2026 - Saturday, October 3, 2026

In a neural network, the hidden layers are the unseen strata between input and output. In this exhibit, seventeen international artists make visible what AI keeps out of sight.

Friday, September 18, 2026, 12:00 pm - 1:30 pm

The Cultural Analytics Series highlights data-driven analysis of cultural phenomena. 

Friday, September 18, 2026, 2:30 pm - 4:30 pm

An in-person, collaborative deep dive with Cultural Analytics speaker Aarthi Vadde.

Saturday, September 26, 2026, 1:30 pm - 8:00 pm

Join alumni, faculty, students, and friends as we celebrate a defining milestone in the history of the UC Berkeley School of Information.

Friday, October 9, 2026, 12:00 pm - 1:30 pm

Maria Antoniak analyzes AI-generated stories, mapping how people use AI for storytelling.

Friday, October 9, 2026, 2:30 pm - 4:30 pm

An in-person, collaborative deep dive with Cultural Analytics speaker Maria Antoniak.

Wednesday, October 14, 2026, 12:10 pm - 1:30 pm PDT

Rob Voigt is a computational sociolinguist who applies contemporary natural-language processing methods to questions about the linguistic mechanisms of the social world.

Friday, October 30, 2026, 12:00 pm - 1:30 pm

The Cultural Analytics Series highlights data-driven analysis of cultural phenomena. 

Friday, October 30, 2026, 2:30 pm - 4:30 pm

An in-person, collaborative deep dive with Cultural Analytics speaker Mads Rosendahl Thomsen.

Wednesday, November 4, 2026, 12:10 pm - 1:30 pm

In the United States, the census is democracy’s data. These data make politics — and politics make these data. In this talk, danah boyd discusses what it takes to make democracy’s data — and what those who care about data and democracy should understand about the complexities of making high-stakes data.

Monday, November 9, 2026, 12:00 pm - 1:30 pm

The Cultural Analytics Series highlights data-driven analysis of cultural phenomena. 

Monday, November 9, 2026, 2:30 pm - 4:30 pm

An in-person, collaborative deep dive with Cultural Analytics speakers Meredith Martin and Wouter Haverals.

Thursday, December 10, 2026, 4:00 pm - 6:30 pm PST

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

Thursday, December 17, 2026, 5:00 pm - 7:30 pm PST

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.

Previous events

Thursday, March 12, 2026

Support the I School during Berkeley’s annual fundraising blitz.

Tuesday, March 10, 2026, 11:00 am - 12:10 pm

Open data infrastructures promise transparency, collaboration, and democratized access to scientific knowledge. But what happens when these same principles enable challenges to scientific consensus? 

Monday, March 9, 2026, 1:30 pm - 2:40 pm

Xiang Zheng analyzes large-scale faculty datasets to reveal connections between tenure, incentives, and innovation.

Friday, March 6, 2026, 2:30 pm - 4:30 pm

An in-person, collaborative deep dive with Cultural Analytics speaker Bob L. T. Sturm.

Friday, March 6, 2026, 12:15 pm - 1:30 pm

Bob L. T. Sturm is an associate professor at the KTH Royal Institute of Technology, Sweden, and the PI of the MUSAiC project.

Thursday, March 5, 2026, 11:10 am - 12:30 pm PST

Emma Lurie untangles the roots of online harms in platform design, regulatory structures, and expert discourse.

Tuesday, March 3, 2026, 11:10 am - 12:20 pm

Zackary Okun Dunivin’s work examines cultural phenomena at scale, including political discourse, mythmaking, information systems, and organizational communication.

Monday, March 2, 2026, 11:15 am - 12:25 pm

Online misinformation is a growing concern. Dr. Madeline Jalbert identifies the underlying psychological processes, the role that feelings play, and the criteria people use to assess truth. 

Monday, February 23, 2026, 11:30 am - 12:40 pm

Jerry Chai describes governmental censorship programs and their risks and outlines real-world circumvention and resistance strategies.

Thursday, February 19, 2026, 2:15 pm - 3:25 pm

Many of today’s most pervasive digital security and privacy threats come not from distant hackers, but from the individuals around us.

Tuesday, February 17, 2026, 11:00 am - 12:10 pm

Sayash Kapoor is coauthor of AI Snake Oil and author of the newsletter AI as Normal Technology. He explains the stakes of misplaced optimism about AI in science, medicine, and more.

Friday, February 13, 2026, 3:00 pm - 5:00 pm

An in-person, collaborative deep dive with Bellwether Lecturer Michaela Mahlberg.

Wednesday, February 11, 2026, 12:10 pm - 2:00 pm PST

Michaela Mahlberg is a corpus linguist who studies language as a social phenomenon and the ways we use language to understand and shape our world.

Wednesday, February 11, 2026, 11:00 am - 12:00 pm PST
Thursday, December 18, 2025, 5:00 pm - 7:30 pm PST

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.

Wednesday, December 10, 2025, 4:00 pm - 6:30 pm PST

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

Wednesday, December 10, 2025, 10:00 am - 11:30 am

Try out students’ interactive inventions: whimsical and improbable devices designed to teach, solve problems, provoke thought, or create fun.

Tuesday, December 9, 2025, 12:30 pm - 2:00 pm

Cybersecurity Clinic students share their experiences supporting public-interest organizations vulnerable to ideologically motivated threats.

Monday, December 8, 2025, 10:00 am - 11:30 am

Try out students’ interactive inventions: whimsical and improbable devices designed to teach, solve problems, provoke thought, or create fun.

Monday, November 17, 2025, 11:40 am - 1:00 pm PST

Exploring novel methods for deepfake detection, technical methods for biometric system evaluation, and the complexity of data privacy and consent in high-stakes situations