Campus Event Calendar
Event Entry
What and Who
On the Theoretical Foundations of Data Exchange Economies
Bhaskar Ray Chaudhury
Other:
AG1 Mittagsseminar (own work)
Assistant Professor
Dept. of Industrial and Enterprise Systems Engineering
Dept. of Computer Science (Affiliate)
University of Illinois at Urbana Champaign (UIUC), USA
Homepage: https://www.bhaskar-ray-chaudhury.com
AG 1
AG Audience
English
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Date, Time and Location
Tuesday, 21 January 2025
16:15
60 Minutes
Virtual talk
Virtual talk
Saarbrücken
Abstract
The immense success of ML systems relies heavily on large-scale high-quality data. The high demand for data has led to several paradigms that involve selling, exchanging, and sharing data. This naturally motivates studying
economic processes that involve data as an asset. However, data differs from classical economic assets in terms of (i) free duplication i.e., there is no concept of limited supply with data as it can be replicated at zero marginal cost, and (ii) weak utility priors, i.e., it is difficult to estimate the utility of the data to an agent a priori, without using it. These distinctions cause fundamental differences between economic processes involving data and those involving other assets.
We investigate the parallel of exchange markets (Arrow-Debreu markets) in settings where data is the asset, i.e., where agents in possession of datasets exchange data fairly and voluntarily for mutual benefit without any monetary
compensation. This is relevant in settings involving non-profit organizations that are seeking to improve their ML models through data-exchange with other organizations and are not allowed to sell their data for profit. This work
proposes a general framework for data-exchange from first principles. We investigate the existence and computation of a data-exchange satisfying the foregoing principles.
economic processes that involve data as an asset. However, data differs from classical economic assets in terms of (i) free duplication i.e., there is no concept of limited supply with data as it can be replicated at zero marginal cost, and (ii) weak utility priors, i.e., it is difficult to estimate the utility of the data to an agent a priori, without using it. These distinctions cause fundamental differences between economic processes involving data and those involving other assets.
We investigate the parallel of exchange markets (Arrow-Debreu markets) in settings where data is the asset, i.e., where agents in possession of datasets exchange data fairly and voluntarily for mutual benefit without any monetary
compensation. This is relevant in settings involving non-profit organizations that are seeking to improve their ML models through data-exchange with other organizations and are not allowed to sell their data for profit. This work
proposes a general framework for data-exchange from first principles. We investigate the existence and computation of a data-exchange satisfying the foregoing principles.
Contact
Nidhi Rathi
+49 681 9325 1134
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Virtual Meeting Details
Zoom
897 027 2575
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Nidhi Rathi, 01/07/2025 15:38 -- Created document.