Cole, Timothy W., Myung-Ja Han, Jordan Vannoy. (2012). “Descriptive Metadata, Iconclass, and Digitized Emblem Literature.” Proceedings of the 12th Annual Joint Conference on Digital Libraries. New York: Association for Computing Machinery, pp. 111-120. Continue reading
Jim Hahn and Qiang Jin were awarded a Research and Publication grant to support their research project titled, “Formative Evaluation of Linked Library Data.”
JoAnn Jacoby, head of Reference, Research and Scholarly Services unit, was elected Vice-Chair/Chair-Elect of ALA’s Library Research Round Table.
Kathleen Kern, of the Reference, Research and Scholarly Services unit, was elected as Vice-President/President-Elect of ALA’s Reference and User Services Association (RUSA).
Becky Smith, of Business Information Services, was elected as a member-at-large of RUSA’s Business Reference and Services Section (BRASS).
Sarah Williams, Funk Library, was elected to serve on the Executive Committee of USAIN (United States Agricultural Information Network). Sarah will serve a two-year term as a Director, starting June 1st.
Harriett Green awarded grant to examine library collection analyses and recommender systems
Harriett Green, the English and Digital Humanities Librarian, is starting a new project entitled, “Bandits and Browsing: Data Mining and Network Analysis for Library Collections,” a collaboration between the University of Illinois Urbana-Champaign Library and the Institute for Computing in Humanities, Arts and Social Science (I-CHASS). For the project, she was awarded a start-up allocation grant from XSEDE (Extreme Science and Engineering Discovery Environment). Continue reading
Students are savvy users of their mobile devices, and thanks to a Illinois Campus Research Board grant, Jim Hahn will research the ways that first-year students use these devices to find library resources. Also, he will build a software application for mobile devices to address students’ research needs. In particular, Hahn will seek to understand and build a mobile application that supports optical character recognition (OCR) for the discovery of appropriate and course-related library content. Continue reading