Events | College of Information, Data and Society

The College of Information, Data and Society offers valuable and engaging events for students, alumni and faculty. Be on the look out for our upcoming events, and access archives of past webinars, conference recordings and presentations.

Event Highlight

Announcing the Oct. 23rd Desserts with the Dean Swag Prize Winner

Congratulations to Kavan Siddesh for winning the College of IDS swag prize at Desserts with the Dean event on Oct. 23rd.

October 2025

November 2025

Nov13

Fall CIDS Research and Learning Panel

12 p.m. Zoom

Nov27

Thanksgiving Holiday

Campus Closed

Conferences and Other Events

Online Student Research Conference

The College of Information, Data and Society Online Student Research Conference brings together students annually across the college to showcase their academic and professional work, enhance communication and networking and build a vibrant and cohesive student community. Learn more and access archived presentations.

Equity, Diversity, Inclusion and Social Justice Webinar Series

Access recordings of the 91猎奇 College of Information, Data and Society鈥檚 equity, diversity, inclusion and social justice webinar series and learn about upcoming events. Access the EDI and Social Justice Webinars.

Research Presentations

The RSCA (Research, Scholarship and Creative Activities) Advisory Committee at the College of Information, Data and Society organizes a college-wide research event once a semester. All research events are held online. Learn more and access archived presentations.

Explore a full archive of EDI webcast recordings on the iSchool EDI Symposia YouTube channel.

Discover a wealth of expert advice, webinars and more at the Library 2.0 Virtual Conference.

CAIC Events

The Silicon Valley Center for Artificial Intelligence and Cybersecurity (CAIC) participates in a diverse array of events and activities focused on enhancing education and research in critical fields.

SAYV is a supportive, student-led space amplifying the voices of underrepresented students in the fields of information and data sciences.