Who Needs Stories if You Can Get the Data? ISPs in the Era of Big Number Crunching Content Type Journal Article Category Special Issue Pages 371-390 DOI 10.1007/s13347-011-0041-8 Authors Mireille Hildebrandt, Institute of Computer and Information Sciences (ICIS), Radboud University Nijmegen, Nijmegen, the Netherlands Journal Philosophy & Technology Online ISSN 2210-5441 Print ISSN 2210-5433 Journal Volume Volume 24 Journal Issue Volume 24, Number 4.

Algorithmic governmentality is a new form of political governance interconnected with technology and computation. By coining the term “algorithmic governmentality,” Antoinette Rouvroy argues that this mode of governance reduces everything to data, and people are no longer individuals but dividuals (able to be divided) or readable data profiles. Implementing the concept of algorithmic governmentality, the current study analyses Project Itoh’s award-winning novel Harmony in terms of such relevant concepts as “subjectivity,” “infra-individuality” and “control,” as suggested by Rouvroy and colleagues. The (...) analysis further draws on Foucault’s ideas of “governmentality” and “neoliberalism” and Deleuze’s concepts of “dividuality” and “society of control.” In Itoh’s fictional world, the entire society is subject to the new medical government, which replaced the chaotic world with a perfect but harrowing benevolent society, eradicating disease, suicide and crime. As elucidated in this paper, despite the dominant controlling government, there is a hope for humans to regain and reestablish their subjectivity and give meaning to their own personality by defying the nihilistic computational system. (shrink)

This article focuses on whether a certain form of consent used by biobanks – open consent – is compatible with the Proposed Data Protection Regulation. In an open consent procedure, the biobank requests consent once from the data subject for all future research uses of genetic material and data. However, as biobanks process personal data, they must comply with data protection law. Data protection law is currently undergoing reform. The Proposed Data Protection Regulation is the culmination of this reform and, (...) if voted into law, will constitute a new legal framework for biobanking. The Regulation puts strict conditions on consent – in particular relating to information which must be given to the data subject. It seems clear that open consent cannot meet these requirements. 4 categories of information cannot be provided with adequate specificity: purpose, recipient, possible third country transfers, data collected. However, whilst open consent cannot meet the formal requirements laid out by the Regulation, this is not to say that these requirements are substantially undebateable. Two arguments could be put forward suggesting the applicable consent requirements should be rethought. First, from policy documents regarding the drafting process, it seems that the informational requirements in the Regulation are so strict in order to protect the data subject from risks inherent in the use of the consent mechanism in a certain context – exemplified by the online context. There are substantial differences between this context and the biobanking context. Arguably, a consent transaction in the biobanking does not present the same type of risk to the data subject. If the risks are different, then perhaps there are also grounds for a reconsideration of consent requirements? Second, an argument can be made that the legislator drafted the Regulation based on certain assumptions as to the nature of ‘data’. The authors argue that these assumptions are difficult to apply to genetic data and accordingly a different approach to consent might be preferable. Such an approach might be more open consent friendly. (shrink)

Since the 1980s the concepts of “neoliberalism” and “technoscience,” although both of them were coined earlier, have almost simultaneously become rather prominent conceptual tools in various fields of social science research. The starting point of Neoliberalism and Technoscience: Critical Assessments, edited by Luigi Pellizzoni and Marja Ylönen, is the assumption that this temporal overlap is not just a coincidence and that it would be “quite surprising, then, to find no or merely casual connections between neoliberalization processes and technoscience” . There (...) is already some work in science and technology studies and the sociology of science investigating the impact of neoliberalism on science, frequently focusing on the management of scientific institutions; in addition, there are a number of studies, often inspired by Michel Foucault’s work on biopolitics and governmentality, on the close relations of science and neoliberalism in the field of biomedicine .. (shrink)