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Events

Upcoming Events

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May 9, 2024, 5:00 pm to 8:00 pm
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.
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May 18, 2024, 2:00 pm
Honor the class of 2024 with keynote speaker, student speakers, and student awards.
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Aug 7, 2024, 4:00 pm to 6:30 pm
Graduating MICS students present their cybersecurity projects. A panel of judges will select an outstanding project for the Lily L. Chang MICS Capstone Award.
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Aug 15, 2024, 5:00 pm to 7:00 pm
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.
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Dec 11, 2024, 4:00 pm to 6:30 pm
Graduating MICS students present their cybersecurity projects. A panel of judges will select an outstanding project for the Lily L. Chang MICS Capstone Award.
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Dec 17, 2024, 4:00 pm to 6:30 pm
Graduating 5th Year MIDS students present their data science projects.
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Dec 19, 2024, 5:00 pm to 7:00 pm
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

David S. H. Rosenthal
Feb 5, 2021, 3:10 pm to 5:00 pm
David S. H. Rosenthal is the co-founder of the LOCKSS program at Stanford University.
 Paul Niehaus
Jan 29, 2021, 4:10 pm to 5:30 pm
Cash transfers to people in extreme poverty have become a policy tool of choice; should policy-makers go all the way to Universal Basic Income?
Clifford Lynch
Jan 29, 2021, 3:10 pm to 5:00 pm
Emerging science nationalism and its implications for the research enterprise and the global system of scholarly communication.
Leonardo Bursztyn
Jan 25, 2021, 4:10 pm to 5:30 pm
Can widespread misperceptions about others’ beliefs sustain social norms? How do social norms change when new information becomes available?
Yan Chen
Jan 22, 2021, 4:10 pm to 5:30 pm
How team identity boosts worker engagement in a gig economy.
Nick Merrill
Jan 22, 2021, 3:10 pm to 5:00 pm
Recent moral panic around Internet fragmentation hides the uncomfortable truth: the Internet has always been affected by political realities. Our measurements reveal a multi-polar Internet.
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Jan 21, 2021, 5:30 pm to 6:30 pm
Denny Lee is a developer advocate at Databricks
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Dec 17, 2020, 5:00 pm to 8:00 pm
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.
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Dec 9, 2020, 4:00 pm to 6:00 pm
Graduating MICS students present their cybersecurity projects.
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Dec 1 2020 - All-day event
Give to support the I School’s Diversity, Inclusion, Equity, and Belonging efforts.
Ideology and Libraries: California, Diplomacy, and Occupied Japan 1945-1952
Nov 20, 2020, 3:10 pm to 5:00 pm
Howard Besser (photo by Dan Streible: http://flic.kr/p/7Wbqr8)
Nov 13, 2020, 3:10 pm to 5:00 pm
Privacy-protection measures from a project training librarians as community privacy advocates.
Rochelle Terman
Nov 12, 2020, 5:00 pm to 6:30 pm
New research shows that “naming and shaming” can be counterproductive and even dangerous.
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Nov 12, 2020, 10:00 am to 12:00 pm
How can technology be designed and deployed to make cybersecurity more accessible to underserved populations?
Elaine Sedenberg
Nov 6, 2020, 3:10 pm to 5:00 pm
Elaine Sedenberg leads global research and academic engagement for Facebook’s Privacy and Data Policy team.
Doug May
Nov 5, 2020, 12:00 pm to 1:00 pm
Industry-specific Databricks case studies and an introduction to selling the value of data-centric solutions.
Peter Schwartz
Nov 4, 2020, 4:00 pm to 5:00 pm
Peter Schwartz is one of the world’s most experienced, insightful, and entertaining analysts of the digital revolution.
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Oct 30, 2020, 3:10 pm to 5:00 pm
Salwa Ismail is associate university librarian for digital initiatives and information technology and associate CIO for UC Berkeley Library.
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Oct 27, 2020, 11:00 am to 12:00 pm
AI policy experts discuss the surprising ways that industries are approaching AI development more cautiously and cooperatively.

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