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Mechanism Design for Data Science

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..

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

ERC-ADG - Advanced Grant

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2016-ADG

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Host institution

TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 493 705,00
Address
SENATE BUILDING TECHNION CITY
32000 Haifa
Israel

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Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 2 493 705,00

Beneficiaries (1)

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