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
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Plenary Talk 2
Ali Makhdoumi — Duke University
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Spotlight Talks
Selected contributed presentations
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Coffee Break
Networking
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Plenary Talk 3
Jacopo Perego — Columbia University
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Plenary Talk 4
Jason Hartline — Northwestern University
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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