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.
I School graduate students and alumni have expertise in data science, user experience design & research, product management, engineering, information policy, cybersecurity, and more — learn more about hiring I School students and alumni.
Alumni (MIMS 2006)
Assistant Professor of Practice
Science and technology studies; computer-supported cooperative work and social computing; education; anthropology; youth technocultures; ideology and inequity; critical data science
Human-computer interaction, information visualization, computational linguistics, search and information retrieval, improving MOOCs and online education
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.
Is technology affecting our mental health? Can technology support free speech and still protect against harassment? How do we embed our biases in big data algorithms? The Center for Technology, Society & Policy wants to explore these questions and more.
The dataset could help answer whether it’s possible to accurately use consumer-grade devices to interpret attention level in a problem-solving test. The class hopes that other researchers will be able to repeat the experiment with even larger subject pools.
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.
Facebook is grappling with its impact on our social and emotional lives — and that’s a good thing. But it has to get the research right. Why Facebook did the experiment, and how to make it better.
School of Information faculty and students are presenting their research on human-computer interaction in Toronto this week at the annual CHI conference.
Parikh is transforming the world’s poorest areas by designing, evaluating, and deploying appropriate information systems that support sustainable economic development.
Instead of typing your password, in the future you may only have to think your password. A new School of Information study explores the feasibility of brainwave-based computer authentication as a substitute for passwords.
How can students work together in the new generation of online courses? And how can online systems support and encourage peer learning? A new School of Information research project aims to answer these questions and more.