The Berkeley School of Information is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions.
The Master of Information and Data Science (MIDS) is an online degree preparing data science professionals to solve real-world problems. The 5th Year MIDS program is a streamlined path to a MIDS degree for Cal undergraduates.
The School of Information's courses bridge the disciplines of information and computer science, design, social sciences, management, law, and policy. We welcome interest in our graduate-level Information classes from current UC Berkeley graduate and undergraduate students and community members. More information about signing up for classes.
I School graduate students and alumni have expertise in data science, user experience design & research, product management, engineering, information policy, cybersecurity, and more — learn more about hiring I School students and alumni.
A two-day conference examining the field of new media and celebrating the work of BCNM alumni in computer vision, human-computer interaction, algorithms, race and popular media, urban space, and new media art.
AnnaLee Saxenian breaks down the shift from Google’s 1998 mission “to organize the world's information and make it universally accessible and useful” to today’s highly contested information ecosystem.
Graduating MICS students present their cybersecurity projects. A panel of judges will select an outstanding project for the Lily L. Chang MICS Capstone Award.
Speaker danah boyd looks behind the scenes at the data required to power today’s AI models, exploring the ecology that has emerged to gobble up data produced for other purposes and contexts.
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.
Learn more about the UC Berkeley Cybersecurity Clinic (INFO/CYBER 289), a public-interest cybersecurity course that supports the capacity of politically-targeted organizations to defend themselves against online threats.
Michael Buckland and Clifford Lynch are retiring from the Friday afternoon Information Access Seminar after leading it for 69 consecutive semesters. In their final Information Access Seminar, the two look back over thirty-five years of the seminar.
Graduating MIMS 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.
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.
David S. H. Rosenthal was the chief scientist and founder of Stanford’s LOCKSS program, aimed at long-term preservation of the web published materials.
Deirdre Mulligan explains how AI policies that centered the public’s rights and safety can build a digital future that supports democratic values and democratic institutions.
Howard Besser founded New York University’s MA program in moving image archiving and preservation and is one of the Library of Congress’s “Pioneers of Digital Preservation”.
Computer security traditionally protects digital systems from criminals or governments. Thomas Ristenpart explores “known-adversary” threat models, in which the adversary is an intimate partner, family member, or other close acquaintance.
Wednesday, February 26, 2025, 2:15 pm
- 3:25 pm PST
Online abuse is getting worse, and it disproportionately harms people already marginalized in society. Miranda Wei outlines new ways to think about online abuse and what we can do to stop it.
Thursday, February 20, 2025, 12:30 pm
- 2:00 pm PST
As cybersecurity threats and the digital landscape evolve, secure communication has never been more critical. A panel of industry professionals, consultants, and journalists share their experiences and insights.
Wednesday, February 19, 2025, 2:15 pm
- 3:25 pm PST
The rapid adoption of generative AI has created a cycle where personal information cascades perpetually. Niloofar Mireshghallah examines generative AI’s interplay between data, people, and models.