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Smart Markets via Computation

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 oppo... ver más

31/12/2017

THE HEBREW UNIVERS...

91K€

Presupuesto del proyecto: 91K€

Líder del proyecto

THE HEBREW UNIVERSITY OF JERUSALEM No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2017-12-31

MSCA-IF-2015-EF: Marie Skłodowska-Curie Individual F...

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Cerrada hace 9 años

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THE HEBREW UNIVERSITY OF JER...

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Duración del proyecto: 22 meses Fecha Inicio: 2016-02-22
Fecha Fin: 2017-12-31

Líder del proyecto

THE HEBREW UNIVERSITY OF JERUSALEM No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 91K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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