Description:

Data, machine learning models, and token-based systems now play a central role in digital economies, giving rise to new forms of exchange, access, pricing, and governance. These developments raise new questions at the intersection of algorithms, economics, game theory, and machine learning. How should access to data, models, and compute be allocated? What pricing and incentive mechanisms support efficient, private, and fair participation? How do strategic considerations shape collaboration, exchange, and governance in AI-driven ecosystems?

This workshop will bring together researchers studying the design and analysis of these emerging economic systems, including data markets and exchanges, markets for model access and compute, collaborative and federated learning, token economies, and strategic behavior in AI platforms. Held as part of the Spring 2026 IDEAL Special Program on Data Science with Strategic Agents, the workshop aims to foster interdisciplinary discussion, highlight recent theoretical and practical developments, and identify new research directions for markets at the frontier of data and AI.