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Faculty habilitation de

Faculty habilitation
Group : Learning and Optimization

Decoding the platform society: Organizations, markets and networks in the digital economy

Starts on 12/02/2019
Advisor :

Funding :
Affiliation : vide
Laboratory : Sciences Po Paris, 9 rue de la chaise, salle 931

Defended on 11/12/2019, committee :
M. Gilles Bastin, Professeur des universités, IEP de Grenoble (rapporteur)
M. Rodolphe Durand, Professeur, HEC Paris
M. Emmanuel Lazega, Professeur des universités, IEP de Paris (garant et rapporteur)
Mme Béatrice Milard, Professeure des universités, Université de Toulouse Jean Jaurès (rapporteure)
M. José Luís Molina González, Professeur, Universitat Autònoma de Barcelona
M. Tom A.B. Snijders, Professeur, Rijksuniversiteit Groningen

Research activities :

Abstract :
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.

Ph.D. dissertations & Faculty habilitations
CAUSAL LEARNING FOR DIAGNOSTIC SUPPORT


CAUSAL UNCERTAINTY QUANTIFICATION UNDER PARTIAL KNOWLEDGE AND LOW DATA REGIMES


MICRO VISUALIZATIONS: DESIGN AND ANALYSIS OF VISUALIZATIONS FOR SMALL DISPLAY SPACES
The topic of this habilitation is the study of very small data visualizations, micro visualizations, in display contexts that can only dedicate minimal rendering space for data representations. For several years, together with my collaborators, I have been studying human perception, interaction, and analysis with micro visualizations in multiple contexts. In this document I bring together three of my research streams related to micro visualizations: data glyphs, where my joint research focused on studying the perception of small-multiple micro visualizations, word-scale visualizations, where my joint research focused on small visualizations embedded in text-documents, and small mobile data visualizations for smartwatches or fitness trackers. I consider these types of small visualizations together under the umbrella term ``micro visualizations.'' Micro visualizations are useful in multiple visualization contexts and I have been working towards a better understanding of the complexities involved in designing and using micro visualizations. Here, I define the term micro visualization, summarize my own and other past research and design guidelines and outline several design spaces for different types of micro visualizations based on some of the work I was involved in since my PhD.