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

Sep 21 — RecSys 2026 Presence

Drexel SCIS posted a news article on my lab's presence at RecSys 2026. Read for details on where you can find me!

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.

Activities

Outputs