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.

Highlights

  • Governments, from the municipal to national levels, are transitioning from the “old” to “new” way of administering services to and engaging with their publics (Schmidt & Cohen, 2013)

  • We argue that volunteered geographic information (VGI) enacts a form of passive civic participation that is attractive to cities, corporations, and busy citizens, while conveying a host of contradictions

  • We argue that data-driven forms of civic participation increasingly become the modern approach for municipalities to engage with citizens

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Summary

Introduction

Governments, from the municipal to national levels, are transitioning from the “old” to “new” way of administering services to and engaging with their publics (Schmidt & Cohen, 2013) Such changes to city planning and policy-formation are driven by big data, which is viewed as the datafication of socio-behavioral observations (Brabham, 2009). VGI responds to the requirements of active participation (e.g., direct interaction at public hearings or citizen panels), which people seem increasingly unwilling to engage with on a municipal level (Clifford, 2013; Putnam, 1995). This passive participation enables a seemingly boundless information space where city officials could effortlessly scrape public opinion from citizens’ twitter feeds and.

Civic Participation and Its Digital Enablers
Data-Driven Participation
Conclusion
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