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https://doi.org/10.17645/up.v1i2.645

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

[journal article]

Tenney, Matthew
Sieber, Renee

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 impact... view more

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.... view less

Keywords
participation; algorithm; citizens' participation; urban development; Canada; citizens' involvement; urban planning

Classification
Sociology of Settlements and Housing, Urban Sociology
Area Development Planning, Regional Research

Free Keywords
big data; civic engagement; data-driven; local government; participation; smart city; urban planning; VGI; volunteered geographic information

Document language
English

Publication Year
2016

Page/Pages
p. 101-113

Journal
Urban Planning, 1 (2016) 2

ISSN
2183-7635

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.