Deadline tomorrow morning for Econometric Society conference on Economics and AI+ML

 Today's email announces a 9am Eastern time deadline tomorrow (that's 6am in California). And it looks like a fine conference.

FINAL CALL FOR PAPERS DEADLINE FEB. 10, 9:00 AM ET The 2026 ESIF Economics and AI+ML Meeting June 16 - 17, 2026 Reminder: authors can update their submitted papers until the submission period ends. The Econometric Society Interdisciplinary Frontiers (ESIF) conference on Economics and AI+ML will be hosted by Cornell University, in Ithaca NY, on June 16-17, 2026. The purpose of the meeting is to foster interaction of ideas and methodologies from the areas of Computer Science and Economics (broadly defined, but with emphasis on AI and ML). The conference will feature keynote lectures and parallel sessions, bringing together scholars from both fields. Important Dates Submissions open: November 3, 2025 Paper Submission Period: November 3, 2025 – February 10, 2026 Decision Notification Deadline: March 22, 2026 Registration Period (for presenters): March 22, 2026-April 5, 2026 Preliminary Program Announcement: April 26, 2026 Conference dates: June 16-17, 2026 Keynote Speakers David Blei, Columbia University Mingming Chen, Google Timothy Christensen, Yale University Annie Liang, Northwestern University Sendhil Mullainathan, MIT Aaron Roth, University of Pennsylvania Paper Submissions The deadline for submissions is February 10, 2026. Interested authors are encouraged to submit unpublished working papers or early drafts (more than 5 pages with results). Preference in the selection process will be given to complete papers. If you would like to submit a group of papers to be considered for the same session, please indicate the proposed session name in the comment section. While grouped submissions are welcome, please note that each paper will still be evaluated on its own merits. All papers and drafts must be submitted electronically in PDF format via the Oxford Abstracts submission platform.  Please use the appropriate submission link: Economist Track (Economics, Finance, Statistics, Marketing, Management) Computer Scientist track (Computer Science, Information Systems, and Operations Research/Operations Management) Submissions are open to all research that overlaps with both Economics and AI+ML. Each submission must select at least one content area from the drop-down menu. Note that the areas are partially overlapping; if in doubt, authors are advised to select those area(s) that best fit their paper. Also note that your submission details can be edited throughout the submission process up until the submission deadline of February 10, 2026. Please direct questions to esifaiml@gmail.com for more information, or visit the conference website. Program Committee Francesca Molinari and Eva Tardos (Cornell University; Co-Chairs) Nina Balcan, Carnegie Mellon University Sid Banerjee, Cornell University Dirk Bergemann, Yale University Martin Bichler, Technical University of Munich Larry Blume, Cornell University Emma Brunskill, Stanford University Flori Bunea, Cornell University Giacomo Calzolari, European Universitary Institute Denis Chetverikov, University of California Los Angeles Tim Christensen, Yale University Bruno Crepon, CREST Costis Daskalakis, MIT Sarah Dean, Cornell University Laura Doval, Columbia GSB David Easley, Cornell Maryam Farboodi, MIT Sloan Michal Feldman, Tel Aviv Christophe Gaillac, University of Geneva Avi Goldfarb, University of Toronto Rotman Jason Hartline, Northwestern Nicole Immorlica, Yale and MSR Jon Kleinberg, Cornell University Robert Kleinberg, Cornell University Anton Korinek, University of Virginia Elena Manresa, Princeton Mehryar Mohri, NYU, Google Xiaosheng Mu, Princeton University José Luis Montiel Olea, Cornell University Mallesh Pai, Rice David Parkes, Harvard David Pennock, Rutgers University Vianney Perchet, ENSAE Tuomas Sandholm, CMU Jon Schneider, Google Devavrat Shah, MIT Alex Slivkins, MSR Martin Spindler, Universität Hamburg Jörg Stoye, Cornell Vasilis Syrgkanis, Stanford Catherine Tucker, MIT Sloan