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    Algorhythmic governance: Regulating the ‘heartbeat’ of a city using the Internet of Things


    Coletta, Claudio and Kitchin, Rob (2017) Algorhythmic governance: Regulating the ‘heartbeat’ of a city using the Internet of Things. Big Data & Society, 4 (2). pp. 1-16. ISSN 2053-9517

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    Abstract

    To date, research examining the socio-spatial effects of smart city technologies have charted how they are reconfiguring the production of space, spatiality and mobility, and how urban space is governed, but have paid little attention to how the temporality of cities is being reshaped by systems and infrastructure that capture, process and act on real-time data. In this article, we map out the ways in which city-scale Internet of Things infrastructures, and their associated networks of sensors, meters, transponders, actuators and algorithms, are used to measure, monitor and regulate the polymorphic temporal rhythms of urban life. Drawing on Lefebvre, and subsequent research, we employ rhythmanalysis in conjunction with Miyazaki’s notion of ‘algorhythm’ and nascent work on algorithmic governance, to develop a concept of ‘algorhythmic governance’. We then use this framing to make sense of two empirical case studies: a traffic management system and sound monitoring and modelling. Our analysis reveals: (1) how smart city technologies computationally perform rhythmanalysis and undertake rhythm-making that intervenes in space-time processes; (2) distinct forms of algorhythmic governance, varying on the basis of adaptiveness, immediacy of action, and whether humans are in-, on-, or, off-the-loop; (3) and a number of factors that shape how algorhythmic governance works in practice.

    Item Type: Article
    Keywords: Algorhythm; algorithmic governance; rhythmanalysis; Internet of Things; smart cities; time geography;
    Academic Unit: Faculty of Social Sciences > Geography
    Item ID: 11590
    Identification Number: https://doi.org/10.1177/2053951717742418
    Depositing User: Prof. Rob Kitchin
    Date Deposited: 04 Nov 2019 14:30
    Journal or Publication Title: Big Data & Society
    Publisher: Sage Publications
    Refereed: Yes
    URI:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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