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Our students are among the nation’s best and brightest. Their passion, energy, and ingenuity are reshaping our understanding of and interaction with the digital world around us. Many of these promising scholars – a significant portion of whom are the first in their families to go to college – face serious financial challenges. Supporting their development is one of our top priorities.

There are several ways to support ICS students, from scholarships and fellowships to general funds that help with student engagement. Please consider making a gift to ensure our students and faculty have the resources to thrive.

Ways to Give

Student Funds

Faculty Research

Corporate Partnership

Donor Spotlights

Supporting Student Success

Paul Butterworth, M.S. ’81, B.S. ’74: "Education is where we can have the biggest impact."

Read the Butterworths' story

A Chain of Giving Back

Rosalva Gallardo Valencia, Ph.D. '12: “You don’t need to have a lot to give. You just need the determination to give."

Read Rosalva's story

Paving the Way for Others

Jim Hobbs '73: "UCI provided me an excellent education at a very modest cost. I appreciate what I learned through my study and work at UCI, so I was happy to do something that would help other students in ICS."

Read Jim's story

Hooked on Computing

Greg Hopwood, Ph.D. ’78: "As others had helped me, I want to help future ICS students to learn, create and contribute to our society."

Read Greg's story

News

Upcoming Events

April23
Statistics Seminar Series

Stable Discovery of Treatment Effect Modifiers

Falco J. Bargagli Stoffi
Assistant Professor, Department of Biostatistics, UCLA
4:00 PM
6011, Donald Bren Hall

Abstract: Identifying covariates that modify treatment effects is a critical problem in causal inference. Yet existing data-adaptive methods lack rigorous error control, risking spurious findings…

April24
CS Seminar Series

Test Before You Trust: Verifying Predictions in Online Allocation and Learning

Themis Gouleaki
Assistant Professor, College of Computing and Data Science at Nanyang Technological University
11:00 AM
6011, Donald Bren Hall

Abstract: Learning-augmented algorithms aim to combine predictive advice with worst-case guarantees: they achieve near-optimal performance when predictions are accurate, while remaining robust when predictions are…

April24
Informatics Seminar Series

Building Worker Resilience in Place-Based Communities amid Rapid Technological Change

Yasmine Kotturi
Assistant Professor, Information Systems, Affiliate Faculty, Computer Science and Electrical Engineering, University of Maryland, Baltimore County
1:00 PM
6011, Donald Bren Hall

Abstract: While the “future of work” promises innovation and opportunity, it often manifests as uncertainty and instability—exposing a stark divide between optimistic predictions and lived…

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