Agenda

8:30 – 9:00

Check-in / Light Breakfast

9:00 – 9:15

Introductions and Overview
Nancy Rothbard, David Pottruck Professor and Deputy Dean of the Wharton School

9:15 – 10:00

KEYNOTE (Virtual)
Ronnie Chatterji, Chief Economist, OpenAI

10:00 – 10:30

Break

ROOM A

ROOM B

10:30-11:30

ANTHROPIC, Elie Schoppik, Co-Founder + Lead Instructor

The Anthropic Team will be leading us through a training and discussion of how to best use their LLM tools, including Claude and Claude Code. Everyone who wants to build along with the training will need a Claude API key and license, but attendees don’t need to prepare in advance otherwise. The training will focus on applications for research.

11:30-11:50

Break

11:50-12:50

Session 1a

David Byrne, Principal Economist, Federal Reserve Board. AI at the Crossroads: Light Bulb, Dynamo, or Microscope?

Wei Chen, Associate Professor, University of Connecticut. Generative AI and Organizational Structure in the Knowledge Economy.

Jie Zheng, PhD Student, Mitch Daniels School of Business, Purdue University. Generative AI, Human Expertise, and Scaling Law.

Session 1b

Anne Hansen, Senior Financial Economist, Richmond Fed. Simulating the Survey of Professional Forecasters.

Chenchuan He, PhD Candidate, University of Delaware. PersonaCoder: How Personality Influences Coding Performance of LLM Agents.

Milan Miric, Associate Professor, USC Marshall School of Business. Government Policy and Innovation Outcomes: Evidence from 2006 Chinese Domestic Innovation Initiative on Automation-AI Technologies.

12:50 – 2:05

Lunch & Networking

2:05 – 3:05

Session 2a

Yong Lee, Associate Professor, Keough School, University of Notre Dame. Advancing AI Capabilities and Evolving Labor Outcomes.

Isabella Loaiza, Postdoctoral Associate, MIT Sloan. Measuring New Work in the Age of AI.

Frank Nagle, Assistant Professor, Harvard Business School. Generative AI and the Nature of Work.

Session 2b

Manmohan Aseri, Assistant Professor in Decision, Operations & Information Technologies, Robert H. Smith School of Business, University of Maryland, College Park. Automating Truth at Scale: Incentive Issues in Developing LLM Fact Checkers.

Patryk Perkowski, Assistant Professor of Strategy and Entrepreneurship, Sy Syms School of Business, Yeshiva University. Generative AI as Routine-Biased Technical Change? Evidence from a Field Experiment in Central Banking.

3:05 – 3:25

Break

3:25 – 4:05

Session 3a

Jin Kim, Postdoctoral Research Associate, D’Amore-McKim School of Business, Northeastern University. People Reduce Workers’ Compensation for Using Artificial Intelligence.

Alex Moehring, Assistant Professor, Purdue University. Designing Human-AI Collaboration: A Sufficient-Statistic Approach.

Session 3b

Marius Guenzel, Assistant Professor of Finance, The Wharton School, University of Pennsylvania. AI Personality Extraction from Faces: Labor Market Implications.

Frank Li, Assistant Professor, UBC Sauder School of Business. Unpacking the AI Transformation: The Impact of AI Strategies on Firm Performance.

4:05 – 4:15

Closing Remarks

4:15 – 4:50

Poster Slam

4:15 – 6:00

Reception

8:30 – 9:00

Light Breakfast

9:00 – 9:15

Remarks:

Eric Bradlow, K.P. Chao Professor, Professor of Marketing, Statistics, Education and Economics; Chairperson Wharton Marketing Department;
Vice Dean of AI and Analytics, Wharton School. University of Pennsylvania.

ROOM A

ROOM B

9:15 – 10:15

Session 4a

Eric Bogert, Assistant Teaching Professor, Northeastern University. Effects of AI Feedback on Learning, Inequality, and Intellectual Diversity.

Anna Kawakami, PhD Student, School of Computer Science, Carnegie Mellon University. AI Failure Loops: The Confluence of Overconfidence in AI and Underconfidence in Worker Expertise.

Benjamin Lira, Doctoral Candidate, University of Pennsylvania. Learning from examples: AI assistance can enhance rather than hinder skill development.

Session 4b 

Anastassia Fedyk, Assistant Professor of Finance, UC Berkeley Haas. Data Innovation Complementarity and Firm Growth.

Arun Sundararajan, Harold Price Professor of Entrepreneurship, and Catherine Wu, PhD Student, NYU Stern School of Business. Generative AI, Productivity, and Incentives for AI Twins.

Luca Vendraminelli, Post-doctoral Fellow, Stanford University. “Data is Gold?”: Occupational Repositioning, AI Stack Bundling, and the Processes of Technology Sourcing in a Large Firm.

10:15 – 10:35

Break

10:35 – 11:35

Session 5a

Brad Greenwood, Maximus Corp. Professor of Business, Costello College of Business, George Mason University. The Effect of Gunshot Detection Technologies on Policing Practices: An Empirical Examination of the Chicago Police Department.

Beverly Rich, Partner, Messner Reeves LLP. AI-Powered Lawyering: AI Reasoning Models, Retrieval Augmented Generation, and the Future of Legal Practice.

Jingjing Li, Associate Professor of Commerce, McIntire School of Commerce, University of Virginia. Revolutionizing Physician Workflows and Well-being with Generative AI: A Field Study on the Adoption and Impacts of DAX Copilot in a Major Health System.

Session 5b

Jung Ho Choi, Assistant Professor of Accounting, Stanford Graduate School of Business.
Human + AI in Financial Reporting: Evidence from the Field.

Avi Collis, Assistant Professor, Carnegie Mellon University.
LLM Time Machines: Valuing Digital Goods over Time.

Francesco Filippucci, Economist, OECD. Aggregate Productivity Gains from Artificial Intelligence: A Sectoral Perspective.

11:35 – 11:55

Break

11:55 – 12:55

Session 6a

Daniel Goldstein, Senior Principal Research Manager, Microsoft Research. Facilitating Meetings with LLMs: An Experimental Study of Group Decision Making.

Caleb Kwon, Assistant Professor, McCombs School of Business, UT Austin. Human-Algorithm Interactions in Labor Scheduling Decisions.

Christine Riordan, Assistant Professor, University of Illinois at Urbana-Champaign. From rhythms to stop, drop and roll: Unpacking the impact of algorithmic management on discretion in hotel housekeeping work.

Session 6b

Robin Na, PhD Candidate, MIT Sloan School of Management. Large Language Models for Research Synthesis and Evaluation. 

Terrence Neumann, PhD Candidate, McCombs School of Business, University of Texas at Austin.  Sanity checks for testing the reliability of large language models in opinion surveys.

Binglu Wang, PhD Candidate, Kellogg. Can Large Language Models Provide Useful Feedback on Research Preprints? A Large-Scale Randomized Field Experiment.

12:55 – 2:10

Lunch and Networking

2:10 – 3:10

Session 7a

Sarah Bana, Assistant Professor, Chapman University. AI-Enabled Job Markets and Market Participation: Jobseekers’ “Rational Expectations” About Competition vs “AI Aversion.”

Simon Lowe, Economist, The Burning Glass Institute. Mapping AI Use Cases: A Large-Scale Analysis of Job Postings.

Gavin Wang, Assistant Professor, University of Texas at Dallas. AI Exposure on Workers’ Career Path: Evidence from U.S. Workforce.

Session 7b

Simon Friis, Postdoctoral Fellow, Harvard Business School. Performance vs. Principle: Mapping Resistance to AI in the U.S.
Labor Market.

Alex Imas, Professor, Booth School of Business, University of Chicago. Measuring Systemic Discrimination in High Dimensional Data.

Karthik Nattamai Kannan, Assistant Professor of IT and Operations Management, Cox School of Business, Southern Methodist University. GenAI Usage Disclosure: Ethnographic Analysis.

3:10 – 3:30

Break

3:30 – 4:10

Session 8a

Ben Manning, PhD Student, MIT. AI Agents Can Enable Superior Market Designs.

Eric Zhou, PhD Candidate, Questrom School of Business, Boston University. Creative Markets in the Age of Generative AI: Strategic Shifts and Labor Market Health.

Session 8b

Seth Benzell, Assistant Professor, Argyros College of Business and Economics, Chapman University. Some Economics of Capital Accumulation in the Age of AI.

Kristina McElheran, Assistant Professor, University of Toronto. Industrial AI in America: Microfoundations of the Productivity J-curve(s).

4:15 – 4:35

Closing Remarks (ROOM A)

4:35 – 5:10

Poster Slam

5:10 – 6:00

Reception