About the Workshop
The goal of this workshop is to bring together students, postdocs, and researchers from AI, economics, operations research, and computer science who are interested in the emerging area of data economics, with the aim of catalyzing new collaborations and charting foundational questions in this rapidly developing field.
Understanding Data as an Asset
Modeling data value — complementarities, diminishing returns, and its rivalrous vs. non-rivalrous nature under privacy constraints and statistical validity.
Incentives & Mechanisms
Designing mechanisms to reward data contributions, compensate for acquisition and privacy costs, and encourage high-quality sharing while accounting for externalities.
Data Pricing
Stable pricing strategies under different market structures — competition, oligopoly, monopoly — accounting for data's unique economic properties.
Equilibrium in Data Markets
Understanding stable behavior of buyers, sellers, and platforms (e.g., Snowflake, AWS) offering storage and ML services; incentives and market dynamics.
Plenary Speakers
Organizers
Schedule
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Plenary Talk 1
Maryam Farboodi — MIT Sloan School of Management
Economics of the Big Data Revolution
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Plenary Talk 2
Ali Makhdoumi — Duke University
Data Markets in the Age of AI: Protecting Users Through Regulation and Agency
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Spotlight Session 1
Alireza Fallah
Signalling in Data Markets via Free Samples
Hannaneh Akrami
On the Theoretical Foundations of Data Exchange Economies
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Coffee Break
Networking
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Plenary Talk 3
Jacopo Perego — Columbia University
Privacy for Sale
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Plenary Talk 4
Jason Hartline — Northwestern University
Truthful Measures of Miscalibration
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Spotlight Session 2
Xizhi Tan
A Theory of Data Acquisition and Pricing at Scale
Akseli Palomäki
AI Language Gaps: Supply, Demand, and Localization
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Poster Session
Contributed posters & open discussion
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Call for Contributions
We seek contributions broadly on data economics for poster and spotlight presentation. We welcome theoretical, algorithmic, and empirical work on topics including data valuation, pricing, market design, incentive mechanisms, and equilibrium in data markets.
Submit Your Contribution