Artificial Intelligence and the Study of Political Institutions
Artificial Intelligence and the Study of Political Institutions
USC Price School of Public Policy
Friday, December 6, 2024
RGL 308
9:30 – 11:00 am: Panel 1
Jason Anastasopoulos (University of Georgia) and Jie (Jason) Lian (University of Georgia & Harvard Kennedy School)
Discussant: William Resh (USC Price)
Divergence or Dysfunction? Using LLMs to Measure Disagreement on the U.S. Supreme Court
Douglas R. Rice (University of Massachusetts – Amherst) and Christopher Zorn (Penn State University)
Discussant: Jason Anastosapoulos (University of Georgia)
11:00 to 11:15 am: Break
11:15 am – 12:45 pm: Panel 2
Can We Measure Legislative Complexity with LLMs?
Austin Bussing (Trinity University), Nicholas O. Howard (Concordia College), and Joshua Y. Lerner (NORC at the University of Chicago)
Discussant: Jason Anastosapoulos (University of Georgia)
Agent-Enhanced Large Language Models for Researching Political Institutions
Joseph R. Loffredo (MIT) and Suyeol Yun (Independent Researcher)
Discussant: Jason Anastosapoulos (University of Georgia)
12:45 – 2:00 pm: Lunch
2:00 – 3:30 pm: Panel 3
Measuring the Policy Content of Congressional and American State Legislation Using Machine Learning
Ethan Dee (Amazon, Inc.) and Alex Garlick (University of Vermont)
Discussant: Kyuwon Lee (USC POIR)
Kevin Foley (Cornell University)
Discussant: Nicholas Napolio (UC-Riverside)
3:00 – 3:15 pm: Break
3:15 – 4:45 pm: Panel 4
Mitchell Bosley (University of Michigan)
Discussant: Diogo Ferrari (UC-Riverside)
Cantay Caliskan, Junhua Huang, Yiyang Huang, Ruoxuan Lin, and Wanting Shan (University of Rochester)
Discussant: Diogo Ferrari (UC-Riverside)