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
Nov 20 — RAI Impact Statements
Oct 29 — Recruiting Ph.D students
I am recruiting for 2 Ph.D positions in Information Science for Fall 2024. See prospective students for more details.
Oct 16 — Paper at WI-IAT
Ngozi Ihemelandu and I have a paper at WI-IAT this month on candidate sampling for recommender evaluation.
Sep 17 — Paper at FAccTRec Workshop
Amifa Raj and I have a paper at the FAccTRec workshop on measuring fairness in grid layouts.
Aug 4 — 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.