Objective
E-commerce, modern-day government auctions, the sharing economy – these all have in common the optimization of resource allocation through the combination of economics and computation. This trend holds enormous socio-economic opportunity: for example, it allows online auctions, personalized advertising that supports the internet ecosystem, government repacking of radio spectrum to support growing communication needs, and flexible pricing that reflects true demand. It also poses an enormous challenge due to the sophisticated treatment of resources it requires, a challenge which theoretical computer science and algorithmic game theory in particular are uniquely positioned to address.
Economists have known for decades that when resource allocation involves complex constraints or preferences, there will be market failures and failed auctions. At the heart of these failures is the presence of complements, which occur when economically-efficient allocation of one resource depends on that of another; in mathematical language this can be described as lack of convexity. Remarkably, this economic phenomenon is closely linked to hardness of computation, which has been extensively studied in theoretical computer science for the past 50 years.
The goal of this interdisciplinary research program is to apply the theoretical understanding of non-convexity achieved in computer science, coupled with the flexibility provided by computational markets, in order to design smarter economic mechanisms. As increasingly more resource allocation in our society takes place by interaction with computational mechanisms, a unified computational and economic approach is necessary to prevent market failures and enable the full realization of the potential to boost social welfare.
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.
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.
- natural sciences computer and information sciences internet
- natural sciences computer and information sciences computational science
- natural sciences mathematics applied mathematics game theory
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences mathematics pure mathematics discrete mathematics
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
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.
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.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2015
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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.
91904 JERUSALEM
Israel
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.