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La gouvernementalité algorithmique : mise en nombre du réel, gouvernementalités contemporaines et nouvelles fabriques du sujet
Funded by the National Fund for Scientific Research (FRS-FNRS) under the PDR-FRESH (projet de recherche) scheme, this is a four years (beginning in 2013) collective fundamental research project involving A. Rouvroy, Th. Berns and D. Deprins, their research teams, and two doctoral researchers (under the supervision of A. Rouvroy and Th. Berns). Informed by history of sciences, political philosophy and philosophy of law, our inquiry about the « algorithmic governmentality » will consist in an analysis of the evolution of normativity ensuing from the continuous « numerization » of « the real » (and thus from the production of « reality » through this numerization and computerization), and from the specific statistic processing of such data (decisional statistics). In order to understand the specificities of that evolution, we will combine three deeply interdependent approaches : an approach anchored in the « theory of statistics and probability » inscribed in a global inquiry about the transformations of the idea of risk and of the contemporary logic of precaution (D. Deprins), an approach combining the «philosophy of law » (A.Rouvroy) and « political philosophy » (T. Berns) allowing to identify and understand, from that combination of points-of-views, the specificities of algorithmic governmentality compared to « the government by the law » - being granted that Law and the legal system appear as the typical mode of government from which « public space » and « public sphere » are theorized (T.Berns) – and the articulations between legal, technological and social normativity (A. Rouvroy). In this way, we will be able to question, taking on board the ontological, epistemic and ethical dimentions, A) the « nature » of « statistics’ objects » (data, correlations, etc.), B) the idea of « reality » produced by and sustaining algorithmic governmentality, guaranteeing its powerfulness and (appearences of) legitimacy, C) the dangers of desubjectivation which may accompany the spread of algorithmic governmentality and the possibilities to « resist » such desubjectivation by imposing legal or other tests and challenges , allowing for the surfacing of new individual and collective « subjects » in such context. Therefore, the project will also benefit from the punctual contributions and advises from a series of experts of the various fields (from security to marketing or health) in which the new statistical practices have been particularly deployed.
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