SI 2024 Innovation
Adam B. Jaffe, Benjamin Jones, and Heidi L. Williams, Organizers
July 16-17, 2024
Supported by Open Philanthropy
Ballroom A
Format: 50 minute presentation slots: 20 minutes for authors, 15 for discussants, 15 for Q&A
Tuesday, July 16 | ||||
8:30 am | Coffee and Pastries | |||
9:30 am |
Max Posch, University of Exeter Jonathan Schulz, George Mason University Joseph Henrich, Harvard University How Social Structure Drives Innovation: Surname Diversity and Patents in U.S. History
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10:20 am |
Hongyuan Xia, Cornell University How Does Industry Shape Academic Science? Evidence from “Million Dollar Plants”
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11:10 am | Break | |||
11:30 am |
Gaia Dossi, University College London Race and Science
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12:20 pm | Lunch | |||
1:30 pm |
Arnaud Dyevre, Massachusetts Institute of Technology Public R&D Spillovers and Productivity Growth
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2:20 pm |
Andrew J. Fieldhouse, Texas A&M University Karel Mertens, Federal Reserve Bank of Dallas The Returns to Government R&D: Evidence from U.S. Appropriations Shocks
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3:10 pm | Break | |||
3:30 pm |
Jason Furman, Harvard University Donald Marron, Urban Institute Catherine Rampell, Washington Post Moderator: Heidi Williams, Dartmouth College and NBER |
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5:00 pm | Adjourn | |||
5:30 pm | Reception in Ballroom Foyer | |||
Wednesday, July 17 | ||||
8:30 am | Coffee and Pastries | |||
9:30 am |
Kate Reinmuth, Stanford University Emma J. Rockall, Stanford University Innovation through Labor Mobility: Evidence from Non-Compete Agreements
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10:20 am |
Brit Sharoni, Harvard University The Effect of Inventor Mobility on Network Productivity
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11:10 am | Break | |||
11:30 am |
Mitsuru Igami, University of Toronto Shoki Kusaka, Yale University Jeff Qiu, University of Guelph Tuyetanh L. Tran, Yale University Welfare Gains from Product and Process Innovations: The Case of LCD Panels, 2001-2011
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12:20 pm | Lunch | |||
1:29 pm | Afternoon Joint Session with Entrepreneurship and Digital Economics and Artificial Intelligence Groups | |||
1:30 pm |
Matteo Tranchero, University of Pennsylvania Finding Diamonds in the Rough: Data-Driven Opportunities and Pharmaceutical Innovation
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2:10 PM |
Benjamin S. Manning, Massachusetts Institute of Technology Kehang Zhu, Harvard University John J. Horton, Massachusetts Institute of Technology and NBER Automated Social Science: Language Models as Scientist and Subjects
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2:50 pm | Break | |||
3:10 PM |
Dean Alderucci, Carnegie Mellon University Sagar V. Baviskar, Carnegie Mellon University Lee G. Branstetter, Carnegie Mellon University and NBER Nathan Goldschlag, U.S. Census Bureau Eduard Hovy, Carnegie Mellon University Andrew Runge, Duolingo Prasanna Tambe, University of Pennsylvania Nikolas Zolas, U.S. Department of State Quantifying the Impact of AI on Productivity and Labor Demand: Evidence from U.S. Census Microdata
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3:50 pm | Adjourn |