| 2026 | SIGIR | Justice, Emancipation, Democracy, and Information Access (JEDI): The SIGIR Workshop on Resisting Corporate and Authoritarian Capture of Information Access Platforms. | Bhaskar Mitra, Dana McKay, Michael D. Ekstrand, Sanne Vrijenhoek, Maria Murray |
| 2025 | ACL | The Impossibility of Fair LLMs. | Jacy Reese Anthis, Kristian Lum, Michael D. Ekstrand, Avi Feller, Chenhao Tan |
| 2025 | ECIR | Fairness in Information Access Conceptual Foundations and New Directions. | Michael D. Ekstrand |
| 2025 | RecSys | FAccTRec 2025: The 8th Workshop on Responsible Recommendation. | Michael D. Ekstrand, Toshihiro Kamishima, Amifa Raj, Karlijn Dinnissen |
| 2024 | ECIR | Not Just Algorithms: Strategically Addressing Consumer Impacts in Information Retrieval. | Michael D. Ekstrand, Lex Beattie, Maria Soledad Pera, Henriette Cramer |
| 2024 | ECIR | Multiple Testing for IR and Recommendation System Experiments. | Ngozi Ihemelandu, Michael D. Ekstrand |
| 2024 | ECIR | Towards Optimizing Ranking in Grid-Layout for Provider-Side Fairness. | Amifa Raj, Michael D. Ekstrand |
| 2024 | RecSys | Conducting Recommender Systems User Studies Using POPROX. | Robin Burke, Joseph A. Konstan, Michael D. Ekstrand |
| 2024 | RecSys | FAccTRec 2024: The 7th Workshop on Responsible Recommendation. | Michael D. Ekstrand, Toshihiro Kamishima, Amifa Raj, Karlijn Dinnissen |
| 2024 | RecSys | AltRecSys: A Workshop on Alternative, Unexpected, and Critical Ideas in Recommendation. | Michael D. Ekstrand, Maria Soledad Pera, Alan Said |
| 2024 | RecSys | It's Not You, It's Me: The Impact of Choice Models and Ranking Strategies on Gender Imbalance in Music Recommendation. | Andres Ferraro, Michael D. Ekstrand, Christine Bauer |
| 2023 | CHIIR | Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access. | Christine Pinney, Amifa Raj, Alex Hanna, Michael D. Ekstrand |
| 2023 | RecSys | FAccTRec 2023: The 6th Workshop on Responsible Recommendation. | Michael D. Ekstrand, Jean Garcia-Gathright, Nasim Sonboli, Amifa Raj, Karlijn Dinnissen |
| 2023 | RecSys | Introducing LensKit-Auto, an Experimental Automated Recommender System (AutoRecSys) Toolkit. | Tobias Vente, Michael D. Ekstrand, Joeran Beel |
| 2023 | SIGIR | Inference at Scale: Significance Testing for Large Search and Recommendation Experiments. | Ngozi Ihemelandu, Michael D. Ekstrand |
| 2023 | SIGIR | Patterns of Gender-Specializing Query Reformulation. | Amifa Raj, Bhaskar Mitra, Nick Craswell, Michael D. Ekstrand |
| 2022 | SIGIR | Measuring Fairness in Ranked Results: An Analytical and Empirical Comparison. | Amifa Raj, Michael D. Ekstrand |
| 2021 | RecSys | SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research. | Michael D. Ekstrand, Allison Chaney, Pablo Castells, Robin Burke, David Rohde, Manel Slokom |
| 2021 | RecSys | FAccTRec 2021: The 4th Workshop on Responsible Recommendation. | Michael D. Ekstrand, Pierre-Nicolas Schwab, Toshihiro Kamishima, Nasim Sonboli |
| 2021 | RecSys | Statistical Inference: The Missing Piece of RecSys Experiment Reliability Discourse. | Ngozi Ihemelandu, Michael D. Ekstrand |
| 2021 | RecSys | Baby Shark to Barracuda: Analyzing Children's Music Listening Behavior. | Lawrence Spear, Ashlee Milton, Garrett Allen, Amifa Raj, Michael Green, Michael D. Ekstrand, Maria Soledad Pera |
| 2021 | WWW | Estimation of Fair Ranking Metrics with Incomplete Judgments. | mer Kirnap, Fernando Diaz, Asia Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz |
| 2020 | CHIIR | Estimating Error and Bias in Offline Evaluation Results. | Mucun Tian, Michael D. Ekstrand |
| 2020 | CIKM | Evaluating Stochastic Rankings with Expected Exposure. | Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette |
| 2020 | CIKM | LensKit for Python: Next-Generation Software for Recommender Systems Experiments. | Michael D. Ekstrand |
| 2020 | RecSys | 3rd FAccTRec Workshop: Responsible Recommendation. | Michael D. Ekstrand, Pierre-Nicolas Schwab, Jean Garcia-Gathright, Toshihiro Kamishima, Nasim Sonboli |
| 2019 | RecSys | Fairness and discrimination in recommendation and retrieval. | Michael D. Ekstrand, Robin Burke, Fernando Diaz |
| 2019 | RecSys | StoryTime: eliciting preferences from children for book recommendations. | Ashlee Milton, Michael Green, Adam Keener, Joshua Ames, Michael D. Ekstrand, Maria Soledad Pera |
| 2019 | SIGIR | Fairness and Discrimination in Retrieval and Recommendation. | Michael D. Ekstrand, Robin Burke, Fernando Diaz |
| 2019 | SIGIR | Workshop on Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval (FACTS-IR). | Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand |
| 2018 | RecSys | Exploring author gender in book rating and recommendation. | Michael D. Ekstrand, Mucun Tian, Mohammed R. Imran Kazi, Hoda Mehrpouyan, Daniel Kluver |
| 2018 | RecSys | 2nd FATREC workshop: responsible recommendation. | Toshihiro Kamishima, Pierre-Nicolas Schwab, Michael D. Ekstrand |
| 2017 | FlAIRS | Recommender Response to Diversity and Popularity Bias in User Profiles. | Sushma Channamsetty, Michael D. Ekstrand |
| 2017 | FlAIRS | Sturgeon and the Cool Kids: Problems with Random Decoys for Top-N Recommender Evaluation. | Michael D. Ekstrand, Vaibhav Mahant |
| 2017 | RecSys | The Demographics of Cool: Popularity and Recommender Performance for Different Groups of Users. | Michael D. Ekstrand, Maria Soledad Pera |
| 2017 | RecSys | FATREC Workshop on Responsible Recommendation. | Michael D. Ekstrand, Amit Sharma |
| 2016 | RecSys | Behaviorism is Not Enough: Better Recommendations through Listening to Users. | Michael D. Ekstrand, Martijn C. Willemsen |
| 2015 | RecSys | Letting Users Choose Recommender Algorithms: An Experimental Study. | Michael D. Ekstrand, Daniel Kluver, F. Maxwell Harper, Joseph A. Konstan |
| 2014 | RecSys | User perception of differences in recommender algorithms. | Michael D. Ekstrand, F. Maxwell Harper, Martijn C. Willemsen, Joseph A. Konstan |
| 2013 | RecSys | Rating support interfaces to improve user experience and recommender accuracy. | Tien T. Nguyen, Daniel Kluver, Ting-Yu Wang, Pik-Mai Hui, Michael D. Ekstrand, Martijn C. Willemsen, John Riedl |
| 2012 | EDBT | RecStore: an extensible and adaptive framework for online recommender queries inside the database engine. | Justin J. Levandoski, Mohamed Sarwat, Mohamed F. Mokbel, Michael D. Ekstrand |
| 2012 | RecSys | When recommenders fail: predicting recommender failure for algorithm selection and combination. | Michael D. Ekstrand, John Riedl |
| 2012 | RecSys | How many bits per rating? | Daniel Kluver, Tien T. Nguyen, Michael D. Ekstrand, Shilad Sen, John Riedl |
| 2011 | RecSys | Rethinking the recommender research ecosystem: reproducibility, openness, and LensKit. | Michael D. Ekstrand, Michael Ludwig, Joseph A. Konstan, John Riedl |
| 2011 | RecSys | LensKit: a modular recommender framework. | Michael D. Ekstrand, Michael Ludwig, Jack Kolb, John Riedl |
| 2011 | RecSys | UCERSTI 2: second workshop on user-centric evaluation of recommender systems and their interfaces. | Martijn C. Willemsen, Dirk G. F. M. Bollen, Michael D. Ekstrand |
| 2011 | UIST | Searching for software learning resources using application context. | Michael D. Ekstrand, Wei Li, Tovi Grossman, Justin Matejka, George W. Fitzmaurice |
| 2010 | RecSys | Automatically building research reading lists. | Michael D. Ekstrand, Praveen Kannan, James A. Stemper, John T. Butler, Joseph A. Konstan, John Riedl |