Data-Driven Governance, Smart Urbanism and Risk-Class Inequalities: Security and Social Credit in China
| dc.contributor.author | Curran, Dean | |
| dc.contributor.author | Smart, Alan | |
| dc.date.accessioned | 2020-04-30T20:21:03Z | |
| dc.date.available | 2020-04-30T20:21:03Z | |
| dc.date.issued | 2020-04 | |
| dc.description.abstract | This paper contributes to the politicization of the smart urbanism and data-driven governance by making visible some of the potential inequalities emerging from these transitions through a provisional risk-class analysis. To pursue this analysis, it focuses on the case of smart urbanism and its associated process of data-driven governance in China, focusing specifically on the manner in which Chinese smart urbanism, in terms of its security measures, including widespread use of facial recognition, and the roll-out of social credit scoring, is affecting inequalities. This paper proposes risk-class analysis as a toolbox that can pose new questions in the search for what types of potential risks and inequalities emerging from smart urbanism and data-driven governance as is being rolled out in the Chinese context. | en_US |
| dc.description.grantingagency | Social Sciences and Humanities Research Council (SSHRC) | en_US |
| dc.identifier.citation | Curran, D., & Smart, A. (2018). Data-Driven Governance, Smart Urbanism and Risk-Class Inequalities: Security and Social Credit in China. "Urban Studies". 2018, volume 19, number 1. Special Issue, pps. 1-41.. | en_US |
| dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/37750 | |
| dc.identifier.grantnumber | 435-2015-0339 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1880/111934 | |
| dc.language.iso | eng | en_US |
| dc.publisher.department | Sociology | en_US |
| dc.publisher.faculty | Arts | en_US |
| dc.publisher.hasversion | acceptedVersion | en_US |
| dc.rights | Unless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. | en_US |
| dc.subject | actually persisting smart cities; data-driven governance; risk-class; Chinese smart cities; social credit | en_US |
| dc.title | Data-Driven Governance, Smart Urbanism and Risk-Class Inequalities: Security and Social Credit in China | en_US |
| dc.type | journal article | en_US |
| ucalgary.item.requestcopy | true | en_US |