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Data-Driven Participation: Algorithms, Cities, Citizens, and Corporate Control

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  • Matthew Tenney

    (Department of Geography, McGill University, Montreal, Canada)

  • Renee Sieber

    (Department of Geography, McGill University, Montreal, Canada)

Abstract

In this paper, we critically explore the interplay of algorithms and civic participation in visions of a city governed by equation, sensor and tweet. We begin by discussing the rhetoric surrounding techno-enabled paths to participatory democracy. This leads to us interrogating how the city is impacted by a discourse that promises to harness social/human capital through data science. We move to a praxis level and examine the motivations of local planners to adopt and increasingly automate forms of VGI as a form of citizen engagement. We ground theory and praxis with a report on the uneven impacts of algorithmic civic participation underway in the Canadian city of Toronto.

Suggested Citation

  • Matthew Tenney & Renee Sieber, 2016. "Data-Driven Participation: Algorithms, Cities, Citizens, and Corporate Control," Urban Planning, Cogitatio Press, vol. 1(2), pages 101-113.
    • Handle: RePEc:cog:urbpla:v1:y:2016:i:2:p:101-113
    DOI: 10.17645/up.v1i2.645
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    References listed on IDEAS

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    Cited by:

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