New appointment for Ocepek

Melissa Ocepek
Melissa Ocepek, Assistant Professor

The iSchool is pleased to announce that Visiting Assistant Professor Melissa Ocepek will transition to the role of assistant professor, effective August 16.

Ocepek's research and teaching interests include everyday information behavior, cultural theory, critical theory, food studies, and research methods. She has co-authored two books, Food in the Internet Age and Formal and Informal Approaches to Food Policy. Ocepek received the Elfreda A. Chatman Research Award from the Association for Information Science and Technology (ASIS&T) Special Interest Group (SIG), Information Needs Seeking and Use (USE), for her research proposal, "An Exploration of Everyday Information Behavior." For the research project, she will explore information behaviors across contexts by spending a week observing different people to see how they use information in different aspects of their life.

At the iSchool, Ocepek teaches Information Organization and Access (IS 501), Libraries, Information, and Society (IS 502), Use and Users of Information (IS 503), and Copyright for Information Professionals (IS 590CI), which she created with Sara Benson, adjunct assistant professor and copyright librarian at the University Library.

"Sara and I created Copyright for Information Professionals to provide iSchool students with a nuanced understanding of how copyright affects a variety of information professions. The course is designed to make legal concepts approachable and allow information professionals to feel empowered to work with copyright," Ocepek said.

Ocepek holds a BA in sociology and political science from Pepperdine University and a PhD in information science from the University of Texas at Austin.

Tags:
Updated on
Backto the news archive

Related News

Rhinesmith joins the faculty

The iSchool is pleased to announce that Colin Rhinesmith joined the faculty as a visiting associate professor on January 1, 2025. His position will become permanent following approval by the University of Illinois Board of Trustees. He previously served as founder and director of the Digital Equity Research Center at the Metropolitan New York Library Council.

Colin Rhinesmith

SafeRBot to assist community, police in crime reporting

Across the nation, 911 dispatch centers are facing a worker shortage. Unfortunately, this understaffing, plus the nature of the job itself, leads to dispatchers who are often overworked and stressed. Meanwhile, when community members need to report a crime, their options are to contact 911 for an emergency or, in a non-emergency situation, call a non-emergency number or fill out an online form. A new chatbot, SafeRBot, designed and developed by Associate Professor Yun Huang, Informatics PhD student Yiren Liu, and BSIS student Tony An seeks to improve the reporting process for non-emergency situations for both community members and dispatch centers.

Yun Huang

Hoiem receives Schiller Prize for “Education of Things”

Associate Professor Elizabeth Hoiem has won the 2025 Justin G. Schiller Prize from The Bibliographical Society of America for her book, The Education of Things: Mechanical Literacy in British Children's Literature, 1762-1860 (University of Massachusetts Press). The prize, which recognizes the best bibliographical work on pre-1951 children's literature, includes a cash award of $3,000 and a year's membership in the Society. 

Elizabeth Hoiem

Chan authors new book connecting eugenics and Big Tech

Associate Professor Anita Say Chan has authored a new book that identifies how the eugenics movement foreshadows the predatory data tactics used in today's tech industry. Her book, Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future, was released this month by the University of California Press and featured in the news outlets San Francisco Chronicle and Mother Jones.

Anita Say Chan

Wang group to present at BigData 2024

Members of Associate Professor Dong Wang's research group, the Social Sensing and Intelligence Lab, will present their research at the 2024 IEEE International Conference on Big Data (BigData 2024), which will be held from December 15-18 in Washington, D.C. BigData 2024 is the premier venue to present and discuss progress in research, development, standards, and applications of topics in artificial intelligence, machine learning and big data analytics.

Dong Wang