Another monumental ZKM publication, redefining politics as a concern for things around which the fluid and expansive constituency of the public gathers; with contributions by more than 100 writers and artists.

In business and government, databases contain large quantities of digital transactional data (purchases made, services used, finances transferred, benefits received, licences acquired, borders crossed, tickets purchased). The data can be understood as ongoing and dynamic measurements of the activities and doings of people. In government, numerous database devices have been developed to connect such data across services to discover patterns and identify and evaluate the performance of individuals and populations. Under the UK’s New Labour government, the development of such devices (...) was part of a broader policy known as ‘joined-up thinking and government’. Analyses of this policy have typically understood joining up as an operation of adding together distributed data about subjects, which can then be used in the service of government surveillance, the database state or informational capitalism. But rather than such technical or managerialist analytics, I argue that topological analytics capture what these database devices enact and do: they materialize the ‘individuality’ of subjects in intensified, distributed and fluctuating ways and materialize and intensify a logic of what Deleuze describes as modulating controls. Through examples of UK New Labour social policy initiatives over the past decade, I argue that topological analytics can account for these as immanent rather than exceptional properties of database devices and, as such, part and parcel of a governmental logic and ontology of subjects. (shrink)

This paper argues for subsuming the question of open data within a larger question of information justice, with the immediate aim being to establish the need for rather than the principles of such a theory. I show that there are several problems of justice that emerge as a consequence of opening data to full public accessibility, and are generally a consequence of the failure of the open data movement to understand the constructed nature of data. I examine three such problems: (...) the embedding of social privilege in datasets as the data is constructed, the differential capabilities of data users, and the norms that data systems impose through their function as disciplinary systems. In each case I show that open data has the quite real potential to exacerbate rather than alleviate injustices. This necessitates a theory of information justice. I briefly suggest two complementary directions in which such a theory might be developed: one defining a set of moral inquiries that can be used to evaluate the justness of data practices, and another exploring the practices and structures that a social movement promoting information justice might pursue. (shrink)