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Scientific Article details

Title Geographies of Algorithmic Violence: Redlining the Smart City
ID_Doc 39912
Authors Safransky, S
Title Geographies of Algorithmic Violence: Redlining the Smart City
Year 2020
Published International Journal Of Urban And Regional Research, 44, 2
DOI 10.1111/1468-2427.12833
Abstract City governments are embracing data-driven and algorithmic planning to tackle urban problems. Data-driven analytics have an unprecedented capacity to call urban futures into being. At the same time, they can depoliticize planning decisions. I argue that this shift calls urban studies scholars to investigate geographies of algorithmic violence-a repetitive and standardized form of violence that contributes to the racialization of space and spatialization of poverty. This article examines this broader phenomenon through the case of a proprietary market value assessment that is being used to guide development in cities across the United States. The assessment employs an algorithm that helps city officials make critical decisions about which neighborhoods to target for investment, disinvestment and public service upgrades or disconnections. I argue that the racial, infrastructural, and epistemological violence associated with this evaluation can potentially lead to a new kind of municipal redlining. The article brings insights from critical race theory into conversation with critical scholarship on algorithms by analyzing how algorithmic violence works through data-driven planning technologies to depoliticize and leverage power while further entrenching racism and inequality.
Author Keywords data-driven urbanism; algorithmic governance; urban planning; the post-political city; racial capitalism; racialization; risk; value; Market Value Analysis; Detroit
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Social Science Citation Index (SSCI)
EID WOS:000498229000001
WoS Category Geography; Regional & Urban Planning; Urban Studies
Research Area Geography; Public Administration; Urban Studies
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