Michael's Head

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.

News

Aug 10RecTemp 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 15TORS paper at RecSys 2026

Our TORS paper on participatory recommendation has been invited for oral presentation at RecSys 2026.

Jul 10Paper at RecSys 2026

Our paper on offline evaluation validity, led by Sushobhan Parajuli with Samira Vaez Barenji, will appear at RecSys 2026.

May 14Tutorial at RecSys

I am giving a tutorial on reproducibility at RecSys 2026 (Mon. AM). Details to come.

Apr 3AltRecSys is back

The second AltRecSys workshop will be held at RecSys 2026 in Minneapolis. Sole Pera, Alan Said, and I are organizing.

Activities

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