Research IT
provides research data and computing technologies, consulting, and community for the UC Berkeley campus. Our goal is to advance research through IT innovation.

Status and Service Updates
No office hours during finals: 5/12-5/16
Research IT will not be holding our regular office hours during the week of Spring Break, 5/12 - 5/16. Please get in touch with us at research-it@berkeley.edu for any help in the meantime.
No office hours during Spring Break: 3/26-3/27
Research IT will not hold office hours during Spring Break on Wednesday, 3/26 and Thursday, 3/27. Please get in touch with us via e-mail in the meantime and we will be happy to assist you.
Data Center Shut Down and Savio Downtime: Fri, 3/28 (5pm) - Tues, 4/1 (8am)
Our campus data center will temporarily shut down on Sunday, March 30, for essential generator work. In conjunction with this work, the Savio cluster will also be offline, starting Friday, March 28, at 5 p.m. until Tuesday, April 1, at 8 a.m. Pacific. A scheduler reservation is in place to ensure no jobs run after 5:00 p.m. on March 28th. If you plan to submit jobs, please ask for proper wall time to complete them before the downtime. Otherwise, your jobs will wait in the queue until the cluster is back online.
News Articles
Visualizing Digital Scholarship at UC Berkeley — Communities, Content, and Services
UC Berkeley has recently embraced immersive visualization in the classroom, in research, and for public engagement. While this extends across all campus disciplines and a number of technologies, a growing community is using photogrammetry to develop 3D visualizations of objects and places, both...Read more about Visualizing Digital Scholarship at UC Berkeley — Communities, Content, and Services
Domain Consultant positions as a career stepping-stone for graduate students
Research IT offers opportunities for students at all levels to develop skills applicable to both academic and non-academic careers. Research IT’s domain consultant program for graduate students has begun to have a visible impact as former domain consultants have moved on to
Legal scholars mining millions of bankruptcy case pages
Large corporate bankruptcy cases don’t easily lend themselves to empirical research, according to UC Berkeley Law Professor Ken Ayotte, because “sample sizes are small, and the financial data that’s available on the company leading up to bankruptcy is usually sparse and
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