Michael D. Ekstrand, Ph.D
Starting Fall 2023, I am an Assistant Professor in the Department of Information Science at Drexel University, where I 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.
Links
- Contact Me
- Prospective Students (actively recruiting!)
- Mastodon
- Current CV (PDF)
News
Sep 18 — Paper at FAccTRec Workshop
Amifa Raj and I have a paper at the FAccTRec workshop on measuring fairness in grid layouts.
Aug 05 — New paper in TORS
Fernando Diaz, Ben Carterette, and I have a new paper in TORS on the need to consider distributions of effects, not just point estimates of effectiveness measures when evaluating recommender systems.
Jul 05 — New Ph.D
My first Ph.D student, Amifa Raj successfully defended her dissertation today!
Jun 19 — POPROX Infrastructure
We have launched the web site for POPROX, an NSF-funded project to develop infrastructure to support user-facing research on news recommendation.
Jun 07 — Panel at FAccT 2023
I am co-organizing a CRAFT panel on “Theories of Change in Responsible AI”. Please fill out this survey to suggest questions.