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Digital Economics and AI Meeting
Organized by Chiara Farronato, Andrey Fradkin, Avi Goldfarb, and Catherine Tucker Supported by the Alfred P. Sloan Foundation February 12-13, 2026 SIEPR, Stanford University, 366 Galvez Street, Stanford University, Stanford, CA Format: 20 minutes for the authors, 10 minutes for the discussants, 10 minutes for general Q&A |
| Thursday, February 12 | |
| 12:00 pm |
Lunch
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| 12:50 pm |
Introductions
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| 1:00 pm |
Open Source Software Policy in Industry Equilibrium
Discussant:
Raviv Murciano-Goroff, Boston University |
| 1:40 pm |
Industrial Policy, Location Choice, and Firm Performance in High-Tech Manufacturing
Discussant:
Judith A. Chevalier, Yale University and NBER |
| 2:20 pm |
Break
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| 2:40 pm |
Costs of Technological Frictions: Evidence from EHR (Non-)Interoperability
Discussant:
Ginger Zhe Jin, University of Maryland, College Park and NBER |
| 3:20 pm |
AI and the Quantity and Quality of Creative Products: The Case of Books
Discussant:
Shane Greenstein, Harvard University and NBER |
| 4:00 pm |
Adjourn
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| Friday, February 13 | |
| 8:30 am |
Continental Breakfast
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| 9:00 am |
The Value of Personalized Recommendations: Evidence from Netflix
Discussant:
Olivia R. Natan, University of California, Berkeley |
| 9:40 am |
Aligning Large Language Model Agents with Rational and Moral Preferences
Discussant:
TBA |
| 10:20 am |
Break
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| 10:40 am |
Human Learning about AI
Discussant:
Alex Imas, University of Chicago and NBER |
| 11:20 am |
Job Transformation, Specialization, and the Labor Market Effects of AI
Discussant:
Charles I. Jones, Stanford University and NBER |
| 12:00 pm |
Adjourn
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