Soo Young Rieh

Associate Professor
School of Information, University of Michigan
4373 North Quad
105 S. State Street
Ann Arbor, MI 48109-1285
Voice: +1 734-647-8040 Fax: +1 734-764-2475

E-mail: rieh at
CV: download

Soo Young Rieh is Associate Professor in the School of Information at the University of Michigan, where she served as Director of the Master of Science in Information (MSI) Program from 2014 to 2017. Her research areas include human information behavior, web searching behavior, human information interaction, and information literacy. She has made contributions to the field of information science by initiating and conducting research pursuing two distinct research agendas: credibility assessment in information seeking and searching as learning. She has examined how to help people find credible information in online environments and how people’s credibility assessments influence their information seeking strategies. In recent years, her research has focused on conceptualizing searching as a learning process through the concept of comprehensive search. She also has conducted research on assessing learning outcomes in web searching. Her long-term research goal is to design learning-centric search systems that facilitate human learning and support critical thinking and creativity by expanding searchers’ use of information-literate actions such as evaluating, comparing, and differentiating the value of information across multiple sources. Her research has been funded by the Institute of Museum and Library Services (IMLS), the MacArthur Foundation, and Brainly, Inc.

She is Principal Investigator of the Library as Research Lab Project , funded by the IMLS (2017-2020). For this project, she works with University of Michigan administrators and librarians to increase the engagement of School of Information Master’s students in critical research questions concerning library assessment. Every year, 12 MSI students and six librarians work on various research projects to assess how well academic libraries contribute to student learning, support research and scholarship, and create design thinking processes for library services.

In 2017, Rieh was elected to be a director-at-large for the board of the Association for Information Science and Technology (ASIS&T). She is a member of the Steering Committee for the ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR). She is Associate Editor for a new interdisciplinary journal, Information and Learning Sciences, published by Emerald. She also serves as a member of the editorial board for the Journal of the Association for Information Science and Technology (JASIST) and for Library and Information Science Research. She co-edited the Journal of Information Science Special Issue on Recent Advances on Searching as Learning (February 2016).

She is a recipient of several research awards, including Best JASIST Paper Award (2005, 2011), ACM SIGIR CHIIR Honorable Mention (2019), ASIS&T Best Conference Paper Award (2010), ASIS&T SIGUSE Award for Best Information Behavior Conference Paper (2007, 2015), and Eugene Garfield-ALISE Doctoral Dissertation Award (2002). Before joining the Michigan faculty in 2002, Rieh was Human Factors Research Engineer at the Excite@Home Search and Directory Group. She received her Ph.D. in information science from Rutgers University.

Teaching Schedule

Winter 2019: Library and Archives Assessment (SI 699-09) Monday 2:30-5:30 pm
Office Hours: Monday 1-2 pm or by appointment

Recent Publications

Smith, C. L. and Rieh, S. Y. (2019). Knowledge-Context in search systems: Toward information-literate actions. Proceedings of the ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR ’19), 55-62.

Reynolds, R., Chu, S., Ahn, J., Buckingham Shum, S., Hansen, P., Haythornthwaite, C., Huang, H., Meyers, E. M. and Rieh, S. Y. (2019). Inaugural issue perspectives on Information and Learning Sciences as an integral scholarly nexus. Information and Learning Sciences, 120, 2-18.

Rieh, S. Y., Collins-Thompson, K., Hansen, P., & Lee, H-J (2016). Toward searching as a learning process: A review of current perspectives and future directions. Journal of Information Science, 42(1), 19-24.

Hansen, P. & Rieh, S. Y. (2016). Editorial: Recent advances on searching as learning: An introduction to the special issue. Journal of Information Science, 42(1), 3-6.

Collins-Thompson, K., Rieh, S. Y., Haynes, C. C., Syed, R. (2016). Assessing learning outcomes in web searching: A comparison of tasks and query strategies. Proceedings of the ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR ’16), 163-172.

© 2014 Soo Young Rieh