Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/146714
Title: Data-driven models of governance across borders : datafication from the local to the global
Authors: Arora, Payal
Stevens, Hallam
Keywords: Humanities::History
Issue Date: 2019
Source: Arora, P., & Stevens, H. (2019). Data-driven models of governance across borders : datafication from the local to the global. First Monday, 24(4). doi:10.5210/fm.v24i4.9831
Journal: First Monday
Abstract: This special issue looks closely at contemporary data systems in diverse global contexts and through this set of papers, highlights the struggles we face as we negotiate efficiency and innovation with universal human rights and social inclusion. The studies presented in these essays are situated in diverse models of policy-making, governance, and/or activism across borders. Attention to big data governance in western contexts has tended to highlight how data increases state and corporate surveillance of citizens, affecting rights to privacy. By moving beyond Euro-American borders — to places such as Africa, India, China, and Singapore — we show here how data regimes are motivated and understood on very different terms.
URI: https://hdl.handle.net/10356/146714
ISSN: 1396-0466
DOI: 10.5210/fm.v24i4.9831
Schools: School of Humanities 
Rights: © 2019, Payal Arora and Hallam Stevens. All Rights Reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SoH Journal Articles

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