Jessica Yi-Yun Cheng

Jessica Cheng's research is in the areas of knowledge organization and data curation. Specifically, Cheng's research and teaching focuses on how knowledge systems affect the ways data are represented. In her work, she resolves interoperability problems in taxonomies in biodiversity, geographic, and other domain-specific contexts. Cheng's studies leverage multiple methods, including conceptual modeling, logic-based reasoning, natural language processing, and qualitative research approaches.

Her grant works include being the leading PI of a IMLS grant project about provenance metadata; as well as a co-PI on a U.S. Department of Transportation grant project about building a user-centered bridge technology clearinghouse (the ABTC project), in which her role is to identify taxonomy practices for this online platform.

Cheng's work has been published in the Journal of the Association for Information Science and Technology (JASIST), Information Processing & Management Journal (IP&M), the Journal of Documentation, Knowledge Organization Journal, and more. She also has co-authored a book about provenance metadata.

Ph.D., Information Sciences, University of Illinois, School of Information Sciences
M.A., Library and Information Science, National Taiwan University, Department and Graduate Institute of Library and Information Science
B.A., Library and Information Science, National Taiwan University, Department and Graduate Institute of Library and Information Science

Power and Inequality in Media and Technology Working Group