Michael I. Jordan

University of California, Berkeley, USA

Keynote: Decision-Focused Learning and Economic Decision Intelligence

The talk examines how decision-focused learning and optimization-based inference can be integrated with economic decision models, with emphasis on uncertainty quantification, robustness, and the deployment of AI systems in market and policy settings.

Éva Tardos

Cornell University, USA

Keynote: Algorithmic Game Theory for Modern Market and Mechanism Design

The talk reviews algorithmic advances in mechanism design, auction and market algorithms, and learning in strategic environments, connecting theoretical guarantees with practical market and platform decision problems.

Michal Feldman

Tel Aviv University, Israel

Keynote: Fair Division and Contract Design in Computational Economic Systems

The talk addresses fair division, contract theory, and mechanism design in multi-agent economic systems, with attention to computational tractability, incentive compatibility, and deployment in digital platforms.

Susan Athey

Stanford University, USA

Keynote: Machine Learning for Causal Inference and Economic Policy Decisions

The talk focuses on causal machine learning methods for economic forecasting and policy evaluation, including counterfactual analysis, heterogeneity, and the design of decision support systems for economic and regulatory settings.