The School of Information is UC Berkeley’s newest professional school. Located in the center of campus, the I School is a graduate research and education community committed to expanding access to information and to improving its usability, reliability, and credibility while preserving security and privacy.
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.
Led by Professor John Chuang, Info 290: Climate, People, and Informatics seeks to explore the burgeoning field of climate informatics and equip students with the necessary language and contextual knowledge to contribute.
Hao Li, a deepfake pioneer and an associate professor at the University of Southern California, is impressed by the Chinese app Zao, which allows you to place yourself in popular television shows and movies with just a single photograph.
Instead of looking for design solutions to fix existing problems in privacy, I School researchers used speculative design fictions to explore the potential privacy issues that may arise in future uses and adoptions of emerging biosensing technologies.
I School researchers have developed a custom-fit earpiece that that can capture “passthoughts” through brainwave signals from the ear canal, and for the first time demonstrated one-step three-factor authentication.
The smart fabric could be used to create clothes with dynamically changing colors or patterns. But who would wear clothes that double as a computer display? And why? New research explores these questions.
Machines increasingly do humans’ jobs. But what happens when a human performs a machine’s tasks? A new project by doctoral student Laura Devendorf explores that role reversal, with unexpected insights into the creative process how people interact with machines.