Speculative futures: Cities, data, and governance beyond smart urbanism.
In this paper, I examine the convergence of big data and urban governance beyond the discursive and material contexts of the smart city. I argue that in addition to understanding the intensifying relationship between data, cities, and governance in terms of regimes of automated management and coordi...
| Published in: | Environment & Planning A Vol. 48; no. 9; pp. 1691 - 1709 |
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| Format: | Article |
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Sage Publications Inc.
Sep2016
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=117335126&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 117335126 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0308518X EPL jtl: Environment & Planning A issn: 0308518X maglogo: Y pubinfo: dt: Sep2016 vid: 48 iid: 9 pid: 344 pub: Sage Publications Inc. artinfo: ui: 117335126 10.1177/0308518X16651445 ppf: 1691 ppct: 18 formats: tig: atl: Speculative futures: Cities, data, and governance beyond smart urbanism. aug: au: Leszczynski, Agnieszka affil: School of Environment, University of Auckland, Auckland, New Zealand su: Economic convergence Cities & towns Algorithmic randomness Big data Smart cities sug: subj: Economic convergence Cities & towns Algorithmic randomness Big data Smart cities keyword: Algorithmic governance big data future security smart cities Algorithmic governance big data future security smart cities ab: In this paper, I examine the convergence of big data and urban governance beyond the discursive and material contexts of the smart city. I argue that in addition to understanding the intensifying relationship between data, cities, and governance in terms of regimes of automated management and coordination in ‘actually existing’ smart cities, we should further engage with urban algorithmic governance and governmentality as material-discursive projects of future-ing, i.e., of anticipating particular kinds of cities-to-come. As urban big data looks to the future, it does so through the lens of an anticipatory security calculus fixated on identifying and diverting risks of urban anarchy and personal harm against which life in cities must be securitized. I suggest that such modes of algorithmic speculation are discernible at two scales of urban big data praxis: the scale of the body, and that of the city itself. At the level of the urbanite body, I use the selective example of mobile neighborhood safety apps to demonstrate how algorithmic governmentality enacts digital mediations of individual mobilities by routing individuals around ‘unsafe’ parts of the city in the interests of technologically ameliorating the risks of urban encounter. At the scale of the city, amongst other empirical examples, sentiment analytics approaches prefigure ephemeral spatialities of civic strife by aggregating and mapping individual emotions distilled from unstructured real-time content flows (such as Tweets). In both of these instances, the urban futures anticipated by the urban ‘big data security assemblage’ are highly uneven, as data and algorithms cannot divest themselves of urban inequalities and the persistence of their geographies. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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