Data-Driven Governance, Smart Urbanism and Risk-Class Inequalities: Security and Social Credit in China
Date
2020-04
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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.
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Keywords
actually persisting smart cities; data-driven governance; risk-class; Chinese smart cities; social credit
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..