SI 2024 Innovation

Adam B. Jaffe, Benjamin Jones, and Heidi L. Williams, Organizers

July 16-17, 2024

Ballroom A

Format: 50 minute presentation slots: 20 minutes for authors, 15 for discussants, 15 for Q&A

Conference Code of Conduct

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

How Does Industry Shape Academic Science? Evidence from “Million Dollar Plants”
Discussant: Pierre Azoulay, Massachusetts Institute of Technology and NBER
11:10 am
Break
11:30 am

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

Public R&D Spillovers and Productivity Growth
Discussant: Sabrina T. Howell, Harvard University and NBER
2:20 pm

The Returns to Government R&D: Evidence from U.S. Appropriations Shocks
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
Discussant: Matt Marx, Cornell University and NBER
10:20 am

The Effect of Inventor Mobility on Network Productivity
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)
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
Discussant: Ryan R. Hill, Northwestern University
2:10 PM

Automated Social Science: Language Models as Scientist and Subjects
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)
Discussant: Kristina McElheran, University of Toronto
3:50 pm
Adjourn