2024 ESIF Economics and AI+ML Meeting (ESIF-AIML2024)

August 13-14, 2024
Cornell University Department of Computer Science and Department of Economics
Ithaca, NY

We are pleased to announce an interdisciplinary conference on Economics and AI+ML, the first in a series of Econometric Society Interdisciplinary Frontiers (ESIF) conferences. The 2024 ESIF Economics and AI+ML Meeting (ESIF-AIML2024) hosted by Cornell University Department of Computer Science, Department of Economics, and Center for Data Science for Enterprise and Society, will take place on August 13-14, 2024, in Ithaca, NY.

The Program Committee co-Chairs and host organizers are Francesca Molinari and Éva Tardos, from Cornell University.

Important dates

Submissions open: December 20, 2023
Paper Submission Period: December 20, 2023 – February 25, 2024
Decision Notification Deadline: April 21, 2024
Registration Period (for presenters) April 21, 2024 – May 4, 2024
Preliminary Program Announcement: May 25, 2024

Plenary Lectures

Program Committee co-Chairs and host organizers 

Econometric Society General Sponsors

Paper Submissions

The Econometric Society Interdisciplinary Frontiers (ESIF) conference on Economics and AI+ML, hosted by Cornell University, is no longer accepting papers.

The deadline for submissions was February 25, 2024. I

Please direct questions to [email protected] for more information.​

AI Replication Game @ Cornell University 2024

The AI RG is organized by I4R and the Labor Dynamics Institute @ Cornell.

The AI Replication Game @ Cornell University is a one-day event on August 12, 2024 that brings researchers together to collaborate on reproducing quantitative papers published in high-ranking social science journals. Replication is a crucial aspect of scientific research, ensuring that results are reliable and reproducible. By participating in the Replication Games, you will not only contribute to the integrity of research in your field, but also have the opportunity to network with fellow researchers and develop your coding skills. Replication Games are open to faculty-level researchers, post-docs, and graduate students.

Participation: Researchers participating in the AI Replication Game @ Cornell University will be randomly assigned to one of three teams: Skynet, Cyborg or John Connor. Skynet and Cyborg teams will have access to (commercially available) LLM models to conduct their work; John Connor teams of course rely only on unaugmented human skills. Each team consists of 3 members with similar research interests and varying skill levels. Teams will be asked to check for coding errors and conduct a robustness reproduction, which is the ability to duplicate the results of a prior study using the same data but different procedures as were used by the original investigator.

During the event, participants are expected to read the paper and familiarize themselves with the replication package. Teams then will work together to check for coding errors and conduct sensitivity analysis. No work is conducted before/after the event other than answering a short survey.

Schedule: The AI Replication Game @ Cornell University will start at 8:45 AM local time, and end at 4PM local time.