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Professor Robin Burke conducts research in personalized recommender systems, a field he helped found and develop. His most recent projects explore fairness, accountability and transparency in recommendation through the integration of objectives from diverse stakeholders. He joined the Department of Information Science in 2019 from the School of Computing at DePaul ³Ô¹ÏÍø. Dr Burke obtained his PhD in Computer Science from Northwestern ³Ô¹ÏÍø in 1993, an MPhil in Computer Science from Yale ³Ô¹ÏÍø in 1990Ìýand a BS in Computer Science from Harvey Mudd College in 1986. In addition to DePaul ³Ô¹ÏÍø, he has held positions at the ³Ô¹ÏÍø of Chicago, the ³Ô¹ÏÍø of California – Irvine, California State ³Ô¹ÏÍø – Fullerton and ³Ô¹ÏÍø College Dublin.

He was co-director of DePaul’s Center for Web Intelligence, and a member of DePaul’s interdisciplinary Data Mining and Predictive Analytics Center and also of Studio χ, DePaul’s digital humanities center. Professor Burke is the author of more than 70 peer-reviewed articles in various areas of artificial intelligence including recommender systems, machine learningÌýand information retrieval. His work has received support from the National Science Foundation, the National Endowment for the Humanities, the Fulbright CommissionÌýand the MacArthur Foundation, among others.