Workshop

AI and Economics

Keynote talks recording

16 Mar 2026 - 20 Mar 2026

ICMS, Bayes Centre, Edinburgh

Open in Google Maps

Useful Information

Coming to ICMS

Scientific Organisers

Maria del Rio-Chanona, UCL

Francis DiTraglia, University of Oxford

Bary Pradelski, Maison Française d’Oxford

Bassel Tarbush, University of Oxford

Keynote Speakers

Tamara Broderick, Massachusetts Institute of Technology

Stephen Hansen, University College London

Kosuke Imai, Harvard University

Annie Liang, Northwestern

Luke Marris, Google DeepMind

About Workshop

Recent advances such as DeepMind’s AlphaFold and the LEAN project have demonstrated the transformative potential of AI in scientific research. Our workshop explored how AI can advance economic and social science research. Our primary focus was AI for economic research, but we also addressed some of the economic and social impacts of AI.

Programme

MONDAY 16 MARCH 2026

09.15–09.30

Housekeeping by ICMS/ Introduction by organisers

09.30-10.15

Kosuke Imai, Harvard University

GenAI Powered Inference

10.15-10.45

Coffee Break

10.45-11.00

Sukjin Han, University of Bristol

Can LLMs Predict Human Behavior? A Measure of their Pretrained Knowledges

11.00-11.15

Yucheng Yang, University of Zurich

Structural Reinforcement Learning for Heterogeneous Agent Macroeconomics

11.15-11.30

Peter Lambert, LSE & Warwick

AI-Derived Economic Structures: From Networked Data to Macro-Calibrations

11.30-12.00

Coffee Break

12.00-12.15

Giuseppe Matera, EPFL

Corporate Earnings Calls and Analyst Beliefs

12.15-12.30

Simone Daniotti, Utrecht University

GenAI for Measurement, Autonomy, and Understanding

12.30-12.45

Aldo Glielmo, Bank of Italy

Heterogeneous RBCs via deep multi-agent reinforcement learning: unifying macroeconomic modelling through computation

12.45-14.00

Lunch

14.00-14.15

Alyssa Rusonik, HEC Paris

The evolving credibility of stories

14.15-14.30

Adam Brzezinski, LSE

Narrative Entanglement in Climate Policy

14.30-14.45

Johanna Einsiedler, University of Basel

Pretraining Sequence Models for Heterogeneous Treatment Effects

14:45-15:15

Coffee Break

15.15-15.30

Pablo Astudillo, USFQ

Unveiling Economic Dark Matter: Detecting Informal and Illicit Economic Activities Through Graph Neural Networks

15.30-15.45

Ole Teutloff, University of Oxford

AI reconfigures international outsourcing: Evidence from online freelancing

TUESDAY 17 MARCH 2026

09.30-10.15

Tamara Broderick, Massachusetts Institute of Technology

An Automatic Finite-Sample Robustness Check: Can Dropping a Little Data Change Conclusions?

10.15-10.45

Coffee Break

10.45-11.00

Flore Sentenac, HEC Paris

The Challengers: When Does New Data Justify Switching Machine Learning Models?

11.00-11.15

Alireza Amanihamedani, London Business School

Near-optimal Adaptive Policies for Dynamic Matching Markets

11.15-11.30

Matthew Asher Lawson, INSEAD

Designing behavioural interventions with explainable AI

11.30-12.00

Coffee Break

12.00-12.15

Francesca Larosa, KTH Royal Institute of Technology

Not artificial, but very intelligent: the environmental appetite of AI investments

12.15-12.45

Coffee Break

12.45-14.00

Lunch

14.00-14.15

Marta Grzeskiewicz, University of Cambridge

Neural Demand Estimation with Habit Formation and Rationality Constraints

14.15-14.30

Greg Levy, University of Oxford

Stable and Sparse: Formalising and Optimising Interpretability for High-Dimensional Estimation

14.30-15.00

Coffee Break

15:00-15.15

Lorenzo Tortora, CREF

GitHub repositories predict which professions will be impacted in the future

15.15-15.30

Massimiliano Furlan, University of Warwick

Deep Learning Across Games

15.30-15.45

Rahul Savani, University of Liverpool + Ted Turocy, University of East Anglia

Automated Analysis of Strategic Interactions

WEDNESDAY 18 MARCH 2026

09.30-10.15

Luke Marris, Google DeepMind

Generalist agents in strategic interactions

10.15-10.45

Coffee Break

10.45-11.00

Ben Weidmann, UCL

Measuring Leadership Skills using Artificially Intelligent Agents

11.00-11.15

Anton Pichler, Vienna University of Economics and Business

A data-driven agent-based model of the North American gas sector

11.15-11.30

Elizabeth Rhodes, OpenResearch

Reimagining Survey Research: AI-Powered Conversational Methods for Capturing Economic Complexity

11.30-12.00

Coffee Break

12.00-12.45

Forming working groups

12.45-14.00

Lunch

14.00-16.00

Excursion

THURSDAY 19 MARCH 2026

09.30-10.15

Annie Liang, Northwestern

Using Machine Learning to Generate, Clarify, and Improve Economic Models

10.15-10.45

Coffee Break

10.45-11.00

Nida Jamil, University of Limerick

Asymmetrical Algorithmic Pricing Frequencies and Market Power: A Q-learning Approach

11.00-11.15

Daria Godorozha, LSE + Sam Inman-Altass, LSE

Reinforcement Learning-Driven Development of Utility-Maximization Functions for Rational Agents

11.15-11.45

Coffee Break

11.45-12.45

Groups work

12.45-14.00

Lunch

14.00-14.45

Groups work

14.45-15.15

Coffee Break

15.15-16.00

Groups work

FRIDAY 20 MARCH 2026

09.30-10.15

Stephen Hansen, University College London

Policymakers’ Uncertainty

10.15-10.45

Coffee Break

10.45-11.30

Group presentations

11.30-12.00

Coffee Break

12.00-12.45

Group presentations

12.45

Packed lunch and End~