Tuesday, July 16
8:30 am
Coffee and Pastries
9:30 am

How Social Structure Drives Innovation: Surname Diversity and Patents in U.S. History

Max Posch, University of Exeter
Jonathan Schulz, George Mason University
Joseph Henrich, Harvard University

Discussant:
William R. Kerr, Harvard University and NBER
10:20 am

How Does Industry Shape Academic Science? Evidence from “Million Dollar Plants”

Hongyuan Xia, Cornell University

Discussant:
Pierre Azoulay, Massachusetts Institute of Technology and NBER
11:10 am
Break
11:30 am

Race and Science

Gaia Dossi, University College London

Discussant:
David M. Cutler, Harvard University and NBER
12:20 pm
Lunch
1:30 pm

Public R&D Spillovers and Productivity Growth

Arnaud Dyevre, Massachusetts Institute of Technology

Discussant:
Sabrina T. Howell, New York University and NBER
2:20 pm

The Returns to Government R&D: Evidence from U.S. Appropriations Shocks

Andrew J. Fieldhouse, Texas A&M University
Karel Mertens, Federal Reserve Bank of Dallas

Discussant:
Peter J. Klenow, Stanford University and NBER
3:10 pm
Break
3:30 pm
Panel Discussion: Fiscal and Macroeconomic Aspects of Innovation and Productivity Policies

Jason Furman, Harvard University
Donald Marron, Urban Institute
Catherine Rampell, Washington Post
Moderator: Heidi Williams, Dartmouth College and NBER
5:00 pm
Adjourn
5:30 pm
Reception in Ballroom Foyer
Wednesday, July 17
8:30 am
Coffee and Pastries
9:30 am

Innovation through Labor Mobility: Evidence from Non-Compete Agreements

Kate Reinmuth, Stanford University
Emma J. Rockall, Stanford University

Discussant:
Matt Marx, Cornell University and NBER
10:20 am

The Effect of Inventor Mobility on Network Productivity

Brit Sharoni, Harvard University

Discussant:
Scott Stern, Massachusetts Institute of Technology and NBER
11:10 am
Break
11:30 am

Welfare Gains from Product and Process Innovations: The Case of LCD Panels, 2001-2011 (slides)

Mitsuru Igami, University of Toronto
Shoki Kusaka, Yale University
Jeff Qiu, University of Guelph
Tuyetanh L. Tran, Yale University

Discussant:
Kevin A. Bryan, University of Toronto
12:20 pm
Lunch
1:29 pm
Afternoon Joint Session with Entrepreneurship and Digital Economics and Artificial Intelligence Groups
1:30 pm

Finding Diamonds in the Rough: Data-Driven Opportunities and Pharmaceutical Innovation

Matteo Tranchero, University of Pennsylvania

Discussant:
Ryan R. Hill, Northwestern University
2:10 PM

Automated Social Science: Language Models as Scientist and Subjects

Benjamin S. Manning, Massachusetts Institute of Technology
Kehang Zhu, Harvard University
John J. Horton, Massachusetts Institute of Technology and NBER

Discussant:
Florenta Teodoridis, University of Southern California
2:50 pm
Break
3:10 PM

Quantifying the Impact of AI on Productivity and Labor Demand: Evidence from U.S. Census Microdata (slides)

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

Discussant:
Kristina McElheran, University of Toronto
3:50 pm
Adjourn