Ari Smith Contact Academic Bio Research Interests Publications Teaching Resume Music Bio Recordings Upcoming Events Catalog of Scores

My doctoral disseration, “Critical Approaches to Inverse Optimization and Other Algorithmic Technologies for Modeling Values and Preferences,” is available for view on ProQuest

Published Papers

Ari Smith, Brian Patterson, Michael Pulia, John Mayer, Rebecca Schwei, Radha Nagarajan, Frank Liao, Manish Shah, and Justin Boutilier. “Multisite Evaluation of Prediction Models for Emergency Department Crowding Before and During the COVID-19 Pandemic”. Journal of the American Medical Informatics Association (JAMIA), Volume 30, Issue 2, February 2023, Pages 292–300. DOI Link

Robert Bosch, Abagael Cheng, and Ari Smith (2019). “Exploring Szpakowski’s Linear Ideas.” Proceedings of Bridges 2019: Mathematics, Art, Music, Architecture, Education, Culture. 21-28. Link

Papers Under Revision

Ari Smith and Justin Boutilier. “Gap-gradient methods for solving generalized mixed integer inverse optimization: an application to political gerrymandering,” 2024. Under first-round revision

Manuscripts in Progress

Ari Smith, Justin Boutilier. “Using Inverse Optimization to Detect Biased Training Sets in Machine Learning Predictors.” Aimed at

Justin Boutilier, Ari Smith, Yonatan Mintz, Christian Elliot, Matthew Zuraw, and Nicole Werner. “A recommender system for caregivers of individuals with Alzheimer’s and related dementias.”

Ari Smith. “Preference Across Power: Algorithmic Infrastructuring of the Preferring Subject.” Aimed at a Big Data and Society or Science, Technology, and Human Values -type journal.