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 makesure 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
News
Aug 30 — Keynote at ROEGEN
I am giving a keynote at ROEGEN@RECSYS'24.
Jul 28 — Short paper in RecSys 2024
Our paper “It's Not You, It's Me” (with Christine Bauer and Andrés Ferraro) has been accepted to RecSys 2024.
Apr 10 — ACM TORS
I have joined the editorial board of ACM Transactions on Recommender Systems as an Associate Editor.
Mar 23 — IR4U2 Keynote
I gave the keynote address for the IR4U2 workshop at ECIR 2024.
Dec 14 — 2 papers in IR for Good
We have 2 papers accepted to the IR for Good track at ECIR 2024. One led by Amifa Raj on fair grid layouts and another with Sole Pera, Henriette Cramer, and Lex Beattie on consumer-side impacts.