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Call for Applicants: AOM PDW - New Frontiers of AI Methods in Management

We are pleased to invite you to a Professional Development Workshop (PDW) on "New Frontiers of AI Methods in Management" at the upcoming AOM Meeting in Philadelphia.

As generative and predictive AI reshape management research, this PDW brings together pioneering scholars to discuss concrete pathways for integrating AI into standard research practices-covering measurement, theorizing, causal inference, and experimentation-while reflecting on the rigorous standards these emerging methods demand.

(1)    Logistics
•    Date & Time: Friday, July 31, 2026 | 2:45–5:15 PM ET (GMT-4)
•    Location: Loews Philadelphia, Commonwealth B

(2)    Panelists & Roundtable Discussants
•    Vivianna Fang He (UCL): Uses generative AI to extend abductive theorizing and expand plausible explanations.
•    Milan Miric (USC): Focuses on the measurement and categorization of unstructured text using LLMs and supervised ML.
•    Nan Jia (USC): Applies machine learning to causal inference and heterogeneous treatment effects.
•    Matteo Tranchero (UPenn): Develops frameworks using LLM-powered agents as synthetic subjects for in silico experimentation.

(3)    Themes for Submission
We welcome early-stage ideas, working papers, and projects in development engaging with (but not limited to):
•    Theory building and abductive reasoning with generative AI
•    Measurement and categorization of unstructured data using LLMs/ML
•    Machine learning methods for causal inference
•    LLM agents for simulation and experimental design
•    Synthetic data generation and labeled dataset augmentation
•    Methodological caveats (replicability, bias, construct validity, transparent reporting)

(4)    Submission Requirements (Roundtable Only)
•    Format: Extended abstracts are optional, but those who include one will be prioritized for roundtable discussion.
•    Details: If submitting an abstract, please limit it to 3 pages (double-spaced, excluding references). Briefly outline your research question, the AI method(s) considered, theoretical framing, and any preliminary results or empirical context.
•    Joining the panelist presentation does not require a submission; submissions are exclusively for those wishing to participate in the roundtable discussion.

Submission Deadline: Please submit via this https://forms.gle/1rGXNpnPJwSZ5GUF6 by the end of June 26th (ET/GMT-4).

If you have any questions, please reach out to bradley.koh@insead.edu

We look forward to seeing you in Philadelphia!

Best regards,
Bradley (Byounghoon) Koh, INSEAD