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Ph.D de

Ph.D
Group : Artificial Intelligence and Inference Systems

Diagnosticabilité et diagnostic de systèmes technologiques pilotés (Développement d'une chaîne de conception outillée d'un système de diagnostic appliquée aux systèmes technologiques pilotés

Starts on 01/11/2008
Advisor : DAGUE, Philippe

Funding : Convention industrielle de formation par la recherche
Affiliation : Université Paris-Sud
Laboratory : Sté SHERPA ENGINEERING & LRI-INRIA

Defended on 13/12/2011, committee :
Louise Travé-Massuyès (Rapporteur), Directeur de Recherche, LAAS-CNRS de
Toulouse.
Luca Console (Rapporteur), Professeur, Universita' di Torino.

Marie-Odile Cordier (Examinateur), Responsable Scientifique, IRISA de
Rennes.
Burkhart Wolff (Examinateur), Professeur, Université Paris-Sud.
Nicolas Rapin (Examinateur), Ingénieur-Chercheur, CEA LIST de Saclay.
Philippe Fiani (Examinateur), Responsable bureau d'étude, Sherpa
Engineering, La Garenne Colombes.

Jean Brunet (Invité), Co-gérant, Sherpa Engineering, La Garenne Colombes.

Philippe Dague (Directeur de thèse), Professeur, Université Paris-Sud.

Research activities :

Abstract :


Ph.D. dissertations & Faculty habilitations
DECODING THE PLATFORM SOCIETY: ORGANIZATIONS, MARKETS AND NETWORKS IN THE DIGITAL ECONOMY
The original manuscript conceptualizes the recent rise of digital platforms along three main dimensions: their nature of coordination devices fueled by data, the ensuing transformations of labor, and the accompanying promises of societal innovation. The overall ambition is to unpack the coordination role of the platform and where it stands in the horizon of the classical firm – market duality. It is also to precisely understand how it uses data to do so, where it drives labor, and how it accommodates socially innovative projects. I extend this analysis to show continuity between today’s society dominated by platforms and the “organizational society”, claiming that platforms are organized structures that distribute resources, produce asymmetries of wealth and power, and push social innovation to the periphery of the system. I discuss the policy implications of these tendencies and propose avenues for follow-up research.

DISTRIBUTED COMPUTING WITH LIMITED RESOURCES


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