Information & Decision Sciences Department Faculty
Noted for pioneering research in areas such as management information systems, business analytics, and econometrics, the Information & Decision Sciences faculty are recognized worldwide for their expertise.
Sofia Bapna is Assistant Professor and Lawrence Fellow at the Carlson School of Management, University of MN.
Dr. Ganju is an assistant professor in the department of Information and Decision Sciences at the University of Minnesota. His research examines the impact of the adoption of Health IT systems. His research has examined how these systems can reduce racial bias in the delivery of healthcare, allow hospitals to increase their reimbursement, and its impact on physician retention.
Prof. Soumya Sen is the 3M Fellow in Business Analytics and Associate Professor of Information & Decision Sciences at the Carlson School of Management of the University of Minnesota. He received the B.E. (Hons.) in Electronics and Instrumentation Engineering from BITS-Pilani, India, in 2005, and both the M.S. and Ph.D.
I am an Associate Professor in the Department of Information and Decision Sciences at Carlson School of Management, University of Minnesota.
Kevin A. Kuhn is a Senior Lecturer and Outreach Coordinator in the Information and Data Science (IDSc) Department at the University of Minnesota's Carlson School of Management. Kuhn has over thirty years of experience as an Information Technology professional. His expertise lies in enterprise systems, large change programs, and data warehousing/analytics. Â
Expertise
Find scholarly work on information technologies, recommender systems, data mining, the economics of the internet, and more in the Experts@Minnesota research database.Â
Featured Research
Online Groups
Assistant Professor Yuqing Ren unlocks the secret to productivity and work satisfaction for online collaborators.
Wisdom of the Crowd
Assistant Professor Gordon Burtch uncovered the nuances of crowdfunding.
Online Matchmaking
Carlson School researchers discover an online dating feature that secretly hinders successful matches.