Ross School of Business, University of Michigan | July 20, 2026
Ann Arbor, Michigan
Missed the Workshop? Check out the podcast from the workshop's panel discussion on AI and the Future of OM/OR Research
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Welcome to the 3rd Annual Michigan Ross
Workshop on Unstructured Data and Language Models
This workshop aims to bring together researchers from diverse fields to showcase and explore the latest research advancements at the intersection of natural language processing, generative AI, and unstructured data in Operations, Technology and Management. We welcome all methodologies, theoretical, empirical, and experimental. We hope to offer a platform for sharing insights, fostering collaborations, and advancing the state of knowledge in these rapidly evolving fields.
Also check out the 2026 INFORMS Revenue Management and Pricing Conference July 21-23, 2026, also held at Ross School of Business, University of Michigan. We look forward to welcoming you to Ann Arbor!
Can Generative AI Voice Improve Productivity? Experimental Insights from Indian Artisans
The Teacher’s Knapsack:Generative AI and Teacher Productivity
Reuniting Forcibly Separated Families Through Shared Memories with Machine Learning
A Theoretical Framework for Auxiliary-Loss-Free Load Balancing of Sparse Mixture-of-Experts in Large-Scale AI Models
AI Agents for Inventory Control: Human-LLM-OR Complementarity
Tabular Foundation Models for Discrete Choice Estimation
(University of Maryland)
(Cornell University)
(University of Chile)
(Stanford University)
(McGill University)
What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, & Emerging Implications for Agentic E-Commerce
Beyond Keywords: Impact of LLM-Powered Search in Online Marketplaces
Designing LLM-Based Assistance for Expert Workflows: Evidence from a Clinical Field Experiment
Dali or Dall-E? Consumer Perception of Human versus AI Creative Processes