Faculty Organizers: Andrew Caplin (New York University) and Michael Woodford (Columbia University)
Date: May 21-22, 2026
Please note that attendance to this event is by invitation only.
Schedule:
May 21st
8:30am: Light Breakfast (provided)
9:00am – 9:05am: Introductory remarks: Michael Woodford (Columbia University)
Theme 1: Consequences of Cognitive Noise
9:05am – 9:50am: Keynote Lecture: Imprecise minds: how cognitive noise shapes human decisions
under uncertainty (Valentin Wyart, Ecole Normale Supérieure de Paris)
9:50am – 10:30am: Break
10:30am – 12:00pm: Session 1
“Reference Points as Information” (Mark Dean, Columbia University)
Presentation Title forthcoming (Christian Ruff, University of Zürich)
“Learning Optimal Behavior Through Reasoning and Experiences” (Cosmin Ilut, Duke University)
12:00pm – 1:30pm: Lunch (provided)
Theme 2: Endogenous Imprecision
1:30pm – 2:15pm: Keynote Lecture: “Biological Correlates of Rational Inattention” (Colin Camerer, California Institute of Technology)
2:15pm – 2:45pm: Break
2:45pm – 3:45pm: Session 2
Presentation Title forthcoming (Cary Frydman, University of Southern California Marshall School of Business)
Presentation Title forthcoming, (Noga Zaslavsky, New York University)
3:45pm – 4:30pm Break
4:30pm – 5:30pm: Session 3
Presentation Title Forthcoming (Chris Sims, Rensselaer Polytechnic Institute)
“Framing & Attention” (Ernst Fehr, University of Zürich)
May 22nd
8:30am: Light Breakfast (provided)
Theme 3: Human-AI Decision Making – Organized by Jennifer Trueblood
9:00am – 10:15am: Session 4
“AI Advice and Human Beliefs” (Daniel Martin, University of California, Santa Barbara)
“Decision theoretic foundations for human-AI complementarity” (Jennifer Trueblood, Indiana University)
Presentation Title Forthcoming (Jessica Hullman, Northwestern University)
10:15am – 11:00am Coffee Break
11:00am – 12:15pm: Session 5
Presentation Title Forthcoming (Annie Liang, Northwestern University)
“Uncertainty Communication in Human-AI Collaboration” (Mark Steyvers, University of California, Irvine)
“Recovering Economic Preferences under Behavioral Attenuation Bias” (Keyu Wu, University of Zürich)
12:15 pm – 2:00pm: Lunch (provided)
Theme 4: Consumer Understanding in the Age of AI – Organized by Stefan Bucher
2:00pm – 3:15pm: Session 6
“Optimal Use of Preferences in Artificial Intelligence Algorithms” (Joshua Gans, University of Toronto)
“Behavioral Machine Learning” (Kawin Ethayarajh, University of Chicago Booth School of Business)
“Measuring and Predicting Clarity” (Stefan Bucher, University of Cambridge)
3:15pm – 4:00pm: Coffee Break
4:00pm – 5:15pm : Session 7
Presentation Title Forthcoming (Karen Croxson, UK Competition and Markets Authority)
“Stickiness in Attention” (Olivia Natan, University of California, Berkeley)
“Planning Under AI: Modeling and Measuring Question-Driven Learning” (Andrew Caplin, New York University)
5:15pm – 5:30pm: Closing Remarks
The organizers of this Workshop would like to formally recognize and thank the Alfred P. Sloan Foundation and the NOMIS Foundation, whose funding and support have helped to make this research, dialogue, and collaboration possible.
