✨The Algorithmic Apprentice: AI-Powered Research Methods✨
Sponsored by: OMT, STR, IM & RM Divisions
Session Chair: Sheen S. Levine
Keynote Speakers:
- Navid Asgari (Fordham U.)
- Aharon Cohen Mohliver (LBS)
- Kenneth Guang-Lih Huang (National U. of Singapore)
- Paula Ann Kincaid (UT Tyler)
- Pankaj Kumar (Virginia Tech)
- Gael Le Mens (Pompeu Fabra U.)
- Milan Miric (USC Marshall)
- Phanish Puranam (INSEAD)
- Yueling Sima (U. College Cork & UT Dallas)
- Ehsan Valavi (MIT Sloan)
- Dawei Wang (The U. of Hong Kong)
- Maciej Workiewicz (ESSEC)
- Lynn Wu (U. of Pennsylvania)
Interested? Register Now!
Part a methods tutorial, part a theory show case, we offer an immersive guide to the future of empirical research. We will exploit and explore:
- The New Possibilities: Applying hands-on techniques to understand how AI processes vast datasets.
- The New Rules of Rigor: Discussing key challenges and ways to move forward.
- Ready to experiment? Every participant gets free tokens to explore the power of AI.
Part 1: Keynote Perspectives. Engage with leading scholars sharing their experiences using AI as a research tool.
Part 2: Interactive Roundtable Discussions. Apply soon; seating is limited!
To ensure effective mentorship, participation in Roundtables requires a brief application. To apply, click and submit: CV and AI research paper or proposal (indicate challenges you'd like to discuss)
We'll meet on Saturday, July 26, 2025, 12 – 16, in Bella Center in Hall C- C1-m3.
Details: https://l.sslevine.com/AoM2025
Questions? sima@utdallas.edu
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Yueling Sima
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