Calibrating families: Data behaviourism and the new algorithmic logic

Abstract

Abstract Family intervention is a long-established mechanism of state control, but recent technological developments are facilitating new regulatory capacities and objectives. This paper will explore how contemporary welfare policy interventions in the UK are converging around a technological solutionist ideology that centres family relationships as core instruments of social management. The last decade has seen a marked techno-administrative turn, with family/state relationships increasingly mediated through online portals and dashboards. Over the last few years this data-centric model has accelerated towards an algorithmic approach to governance through the incorporation of big data surveillance, predictive analytics and behavioural interventions to monitor and socially engineer populations. In this paper we draw on policy analysis and freedom of information requests to trace the embedding of data collection frameworks into apparently conventional family intervention programmes in the UK, and show how this “datification” was made into a core delivery tool. We also highlight how secrecy, or at the very least strategic silence, has restricted public knowledge of how and why data is being collected and used in the UK. We show how parents and children are being quantified and translated into datapoints to support new logics of choice manipulation, ceding unprecedented power to financiers, data analytic and social marketing companies, platform developers and big tech industries. The resulting financialization of family welfare services tracks the contours of longstanding social divisions, reconfiguring and in many cases compounding the injustices of race, class and gender. This algorithmic calibration of children and parents is extending the regulatory powers of the state far beyond previous efforts to govern and control poor families, with under-explored consequences for the principles of democracy and justice.