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    Slow Computing: The Programmable City Working Paper 36


    Fraser, Alistair and Kitchin, Rob (2017) Slow Computing: The Programmable City Working Paper 36. Working Paper. The Programmable City Working Paper.

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    Official URL: https://osf.io/preprints/socarxiv/rmxfk


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    Abstract

    In this short position paper we examine some of the dimensions and dynamics of the algorithmic age by considering three broad questions. First, what are the problematic consequences of life mediated by ‘algorithm machines’? Second, how are individuals or groups and associations resisting the problems they encounter? Third, how might the algorithmic age be re-envisioned and re-made in more normative terms? We focus on two key aspects of living with ubiquitous computing, ‘acceleration’ and ‘data grabbing,’ which we contend are two of the most prominent and problematic features of the algorithmic age. We then begin to shed light on the sorts of practices that constitute slow computing responses to these issues. In the conclusion, we make the case for a widescale embrace of slow computing, which we propose is a necessary step for society to make the most of the undeniable opportunities for radical social change emerging from contemporary technological

    Item Type: Monograph (Working Paper)
    Additional Information: Prepared as a position paper for ‘Slow computing: A workshop on resistance in the algorithmic age’, Maynooth, Dec 14th 2017. http://progcity.maynoothuniversity.ie/2017/11/slow-computing-a-workshop-on-resistance-in-the-algorithmic-age/ Published as an open access pre-print on SocArXiv: https://osf.io/preprints/socarxiv/rmxfk. Published under a CC-By Attribution 4.0 International License. The research for part of this paper has been conducted under the Programmable City project, funded by a European Research Council Advanced Investigator award (ERC-2012-AdG-323636-SOFTCITY).
    Keywords: slow computing; algorithmic governance; ubiquitous computing; acceleration; big data; resistance;
    Academic Unit: Faculty of Social Sciences > Research Institutes > National Institute for Regional and Spatial analysis, NIRSA
    Item ID: 9236
    Identification Number: https://doi.org/10.17605/OSF.IO/RMXFK
    Depositing User: Prof. Rob Kitchin
    Date Deposited: 09 Feb 2018 17:04
    Publisher: The Programmable City Working Paper
    Funders: European Research Council Advanced Investigator Award
    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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