Using AI to surface candidate mechanisms
Using computational tools, including large language models, to systematize hypothesis generation and screen candidate mechanisms when many explanations are plausible.
AOM 2026 · Professional Development Workshop
Designing Research on AI Adoption, Evaluation, and Training
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About the workshop
This Professional Development Workshop is designed to help scholars build stronger research on how AI is reshaping work: how it is adopted, how it changes evaluation and feedback, and how it reshapes skill. It takes place Friday, July 31, 2026, 8:00–10:00 AM ET at the Loews Hotel (Congress C).
The session opens with five short framework presentations, each introducing a research approach from the leader's own work. Participants then join a leader in facilitated roundtables to develop these approaches into their own projects: sharpening research questions, pairing data with methods, and mapping concrete next steps toward a viable study.
Registration isn't required, but we recommend it so we can assign participants to roundtables in advance. If you'd like to take part, please complete the registration form by Friday, July 24, 2026.
The presentations
Each leader introduces a research framework developed in their own work: how questions are framed, mechanisms articulated, and designs selected. Topics span three themes: measurement and early-stage theory building, evaluation under AI, and skill formation and adaptation. Rank the topics on the registration form to help us assign roundtable groups.
Using computational tools, including large language models, to systematize hypothesis generation and screen candidate mechanisms when many explanations are plausible.
How AI-mediated information reshapes the way organizations evaluate ideas and innovation, and how to separate genuine efficiency gains from distortions in judgment.
How generative AI reshapes work and evaluation when people collaborate, including how AI-assisted contributions are perceived and how AI use can be identified in observational data.
How the session runs
Each leader gives a framework presentation of about 13 minutes. The session then moves into facilitated roundtables, where participants adapt these approaches to their own research.
Goals of the workshop and an overview of AI's organizational consequences.
Each leader presents a research framework from their own work (about 13 minutes each): how questions are framed, mechanisms articulated, and designs selected.
Self-select into a roundtable chaired by a workshop leader and adapt these approaches to your own research, the core working time of the session.
Key takeaways from across the roundtables and next steps.
Registration
Registration isn't required, but we recommend it: registering lets us assign participants to roundtables in advance and circulate materials, and your ranking of the topics is how we form the groups. If you can, please register by Friday, July 24, 2026.