AOM 2026 · Professional Development Workshop

Beyond AI Productivity

Designing Research on AI Adoption, Evaluation, and Training

📅 Fri, July 31, 2026 · 8:00–10:00 AM ET 📍 Loews Hotel · Congress C 🎯 Sponsored by TIM Division

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About the workshop

Designing research on how AI is reshaping work.

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

Five frameworks for studying AI in organizations.

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.

R1
Theme 1 · Measurement & early-stage theory

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.

Natalie Carlson

Natalie Carlson · Wharton, University of Pennsylvania

R2
Theme 2 · Evaluation under AI

How AI-mediated information reshapes evaluation

How AI-mediated information reshapes the way organizations evaluate ideas and innovation, and how to separate genuine efficiency gains from distortions in judgment.

Charles Ayoubi

Charles Ayoubi · ESSEC Business School

R3
Theme 3 · Skill formation & adaptation

Skill and training in the age of AI

How the adoption of new technologies reshapes skill and training over time, and what the history of technological change tells us about preparing workers for AI.

Michael Impink

Michael Impink · HEC Paris

R4
Theme 1 · Measurement & early-stage theory

Measuring AI adoption from behavioral data

Using behavioral data to measure how AI is adopted and how it is reshaping collaboration and coordination within organizations.

Mathijs de Vaan

Mathijs de Vaan · UC Berkeley (Haas)

R5
Theme 2 · Evaluation under AI

How AI reshapes collaborative work and evaluation

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.

Sahiba Chopra

Sahiba Chopra · UC Berkeley (Haas)

How the session runs

Framework presentations, then facilitated roundtables.

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.

  1. 5 min

    Welcome & introduction

    Goals of the workshop and an overview of AI's organizational consequences.

  2. 65 min

    Five framework presentations

    Each leader presents a research framework from their own work (about 13 minutes each): how questions are framed, mechanisms articulated, and designs selected.

  3. 45 min

    Facilitated roundtables

    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.

  4. 5 min

    Closing remarks

    Key takeaways from across the roundtables and next steps.

Registration

Register your interest

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.

Rank the sessions * Drag to order from most preferred (top) to least preferred (bottom). On touch or with a keyboard, use the ↑ / ↓ buttons.

We use your responses only to organize the roundtables for this PDW.