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University of Michigan School of Information (UMSI)
The University of Michigan School of Information (UMSI) delivers innovative, elegant and ethical solutions connecting people, information and technology. The school was one of the first iSchools in the nation and is the premier institution studying and using technology to improve human computer interactions.
UMSI offers five degrees: a Bachelor of Science in Information (BSI), a Master of Science in Information (MSI), a Master of Health Informatics (MHI), an online Master of Applied Data Science (MADS) and a doctoral degree (PhD).
UMSI’s programs are broadly interdisciplinary. The faculty comes from many fields, from computer science to law to social networking to public health. The student body is likewise diverse, representing well over 100 majors.
Each member of the University of Michigan School of Information’s scholarly community comes from a unique background, making the school stronger and helping to fulfill its mission of building a better world through technology and information. The faculty, staff and students reflect the intellectual diversity of the broad range of social and technological sciences that make up the unique UMSI approach to solving information problems.
UMSI Engaged Learning Office (ELO)
While at UMSI, students have the opportunity to gain experience that will best prepare them for today’s society’s demands. Through curricular opportunities and various skill-building programs offered by the Engaged Learning Office (ELO), students can apply what they are learning in the classroom through complex practice scenarios, often through real-world experiences provided by local and global organizations.
UMSI students graduate with abundant experience and theoretical knowledge, making them more competitive candidates for today’s job market and socially informed members of society.
Through engaged learning experiences, students engage in community-based challenges, collaborate with real-world clients, participate in study abroad, and practice working in teams. Students work with various clients and partners, from the start-up community in Ann Arbor to social service organizations in Detroit to major cultural institutions, Fortune 500 companies, and international aid agencies.
UMSI Theme Year Partnering Faculty
Hanna Hoover
Lecturer III in Information, School of Information
Hanna Hoover graduated from Florida State University in 2020 with a PhD in Economics with an emphasis in behavioral and experimental economics. From 2020 to 2022, she was a postdoctoral fellow at the University of Michigan School of Information under the mentorship of Erin Krupka. From 2022 to 2023, she was a postdoctoral scholar at Northeastern University under the mentorship of Alicia Modestino. Her research interests are varied and expansive, with prior projects spanning social norms, gender-based misconduct, civil rights restoration, rehabilitation. Hanna's expertise primarily lines in experimental methods (lab and field), as well as quantitative methods of causal inference.
Eric Gilbert
John Derby Evans Endowed Professor of Information, Associate Professor of Information, School of Information and Associate Professor of Electrical Engineering and Computer Science, College of Engineering
Eric Gilbert is the John Derby Evans Associate Professor in the School of Information at the University of Michigan. He also has a courtesy appointment in CSE. Before coming to Michigan, he was on the faculty at Georgia Tech. At Michigan, he runs the comp.social lab, and is affiliated with SMRL, CSMR, MISC, and ESC.
James Rampton
Intermittent Lecturer in Information, School of Information
For the last three years I have worked full time as a UX designer in the automotive sector. In addition I have worked for MRM/McCann and GTB as a UX architect. My passion is designing products that users love to use.
Ben Green
Assistant Professor of Information, School of Information and Assistant Professor of Public Policy, Gerald R Ford School of Public Policy
Ben Green is an assistant professor in the University of Michigan School of Information and an assistant professor (by courtesy) in the Gerald R. Ford School of Public Policy. He holds a PhD in Applied Mathematics from Harvard University, with a secondary field in Science, Technology, and Society. Ben studies the ethics of government algorithms, with a focus on algorithmic fairness, human-algorithm interactions, and AI regulation.
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