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MDDS SIGNED

Mechanism Design for Data Science

Total Cost €

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EC-Contrib. €

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Partnership

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Project "MDDS" data sheet

The following table provides information about the project.

Coordinator
TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY 

Organization address
address: SENATE BUILDING TECHNION CITY
city: HAIFA
postcode: 32000
website: www.technion.ac.il

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Israel [IL]
 Project website http://mdds.net.technion.ac.il
 Total cost 2˙493˙705 €
 EC max contribution 2˙493˙705 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-ADG
 Funding Scheme ERC-ADG
 Starting year 2017
 Duration (year-month-day) from 2017-07-01   to  2022-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY IL (HAIFA) coordinator 2˙493˙705.00

Map

 Project objective

The way data science algorithms and techniques, central to the Internet and on-line media, are designed need to be revolutionized. Current designs ignore participants' strategic incentives. Our vision is the establishment of an entirely new repertoire of incentive-compatible data science algorithms and techniques, obtained through pioneering the application of game-theoretic mechanism design for data science.

Game theory is the branch of mathematics dealing with the modeling and analysis of multi-agent interactions. Mechanism design is the part of game theory that deals with the design of protocols/algorithms for environments consisting of self-motivated participants. Mechanism design has been central to bridging computer science and game theory. It has been widely applied to electronic commerce, advertising and routing networks, and led to significant contributions. On the other hand, data science is flowering, with major applications in search and information retrieval, on-line recommendation systems, clustering and segmentation, and social networks analysis. Quite surprisingly, although the incentives of publishers/firms/customers in such data science contexts are of great importance, mechanism design in the related settings has been almost completely neglected. The proposal aims at building theoretical foundations, providing algorithms, as well as validating through experiments, a fundamental bridge between mechanism design and data science. The ultimate success of this research would be the replacement of classical relevance ranking, segmentation, on-line explore & exploit, and influencers' detection algorithms by incentive-compatible ones, creating the next generation of data science algorithms..

 Publications

year authors and title journal last update
List of publications.
2017 Ran Ben Basat, Moshe Tennenholtz, Oren Kurland
A Game Theoretic Analysis of the Adversarial Retrieval Setting
published pages: 1127-1164, ISSN: 1076-9757, DOI: 10.1613/jair.5547
Journal of Artificial Intelligence Research 60 2019-05-16
2019 Omer Ben-Porat, Gregory Goren, Itay Rosenberg and Moshe Tennenholtz
From Recommendation Systems to Facility Location Games
published pages: , ISSN: , DOI:
2019-05-16
2017 Omer Ben-Porat, Moshe Tennenholtz
Best Response Regression
published pages: , ISSN: , DOI:
2019-05-16
2018 Reshef Meir, Gil Kalai, Moshe Tennenholtz
Bidding games and efficient allocations
published pages: 166-193, ISSN: 0899-8256, DOI: 10.1016/j.geb.2018.08.005
Games and Economic Behavior 112 2019-05-16
2018 Kobbi Nissim, Rann Smorodinsky, Moshe Tennenholtz
Segmentation, Incentives, and Privacy
published pages: 1252-1268, ISSN: 0364-765X, DOI: 10.1287/moor.2017.0903
Mathematics of Operations Research 43/4 2019-05-16
2018 Omer Ben-Porat, Moshe Tennenholtz
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers
published pages: , ISSN: , DOI:
2019-05-16
2019 Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz
Convergence of Learning Dynamics in Information Retrieval Games
published pages: , ISSN: , DOI:
2019-05-16

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