Michael D. Ekstrand, Ph.D.
I am an Assistant Professor in the Department of Information Science at Drexel University, where I lead the INERTIA Laboratory to study AI-powered information access systems (recommender systems, search engines, etc.). My particular goal is to make sure these systems promote an equitable, inclusive, and well-informed society. Previously, I co-led the People and Information Research Team (PIReT) at Boise State University and earned my Ph.D. at the University of Minnesota.
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News
Aug 10 — RecTemp and RecSys RPN
Two more RecSys 2026 acceptances: paper on movie release impact on book consumption at the RecTemp workshop, and an extended abstract on Monte Carlo power analysis in the Research & Practice Notes track.
Jul 15 — TORS paper at RecSys 2026
Our TORS paper on participatory recommendation has been invited for oral presentation at RecSys 2026.
Jul 10 — Paper at RecSys 2026
Our paper on offline evaluation validity, led by Sushobhan Parajuli with Samira Vaez Barenji, will appear at RecSys 2026.
May 14 — Tutorial at RecSys
I am giving a tutorial on reproducibility at RecSys 2026 (Mon. AM). Details to come.