I School Research Exchange

The I School Research Exchange offers I School faculty and Ph.D. students opportunities to learn about, discuss, and contribute to research developing within the school, across the campus, and in the region.

Meetings are open to I School faculty, I School Ph.D. students, I School visiting scholars, and invited guests.

Lunch, for those who have signed up, will be served at 12:00. The talks start at 12:30 and we try to wrap up between 1:45 and 2:00.

Upcoming events

I School Research Exchange: Nina Beguš

Wednesday, February 25, 2026, 12:00 pm - 2:00 pm

For I School faculty and Ph.D. students: Nina Beguš presents her work on “Artificial Humanities” from her recent book.

I School Research Exchange: Diag Davenport

Wednesday, April 29, 2026, 12:00 pm - 2:00 pm

For I School faculty and Ph.D. students: Diag Davenport presents his latest work on responsible AI.

Previous events

Functional Imaging of the Human Brain: Science, Medicine, and Applications

Wednesday, February 12, 2020, 12:00 pm - 2:00 pm

Jack Gallant is Chancellor’s Professor of Psychology and head of the Gallant Lab addressing issues of cognitive, computational, and systems neuroscience.

Isolating the ‘Tech’ from EdTech: Experimental Evidence on Computer Assisted Learning in China

Wednesday, October 16, 2019, 12:00 pm - 2:00 pm

Robert Fairlie is professor of economics at UC Santa Cruz with interests in entrepreneurship, education, IT, inequality, immigration, and labor economics.

Procurement as Policy: Administrative Process for Machine Learning

Wednesday, September 18, 2019, 12:00 pm - 2:00 pm

Deirdre Mulligan studies privacy, fairness, human rights, cybersecurity, technology and governance, and values in design.

Welfare Sensitive Machine Learning: Applications and Experiments with Consumer Lending in Kenya

Wednesday, April 17, 2019, 12:00 pm - 2:00 pm

Joshua Blumenstock is an assistant professor in the School of Information, whose work uses novel data and methods to better understand the economic lives of the poor.

Dissecting Racial Bias in an Algorithm that Guides Health Decisions for Millions

Wednesday, March 20, 2019, 12:00 pm - 2:00 pm

Ziad Obermeyer is an associate professor in the School of Public Health. His research combines insights from medicine with methods from biostatistics, computer science, and econometrics.

Building an Annotated Dataset of Literary Entities and Events

Wednesday, February 20, 2019, 12:00 pm - 2:00 pm

David Bamman is an assistant professor in the School of information working on natural language processing and machine learning.