Arora, Payal, and Stevens, Hallam (2019) Data-driven models of governance across borders: Datafication from the local to the global. First Monday, 24 (4).

PDF (Published Version) - Published Version Restricted to Repository staff only

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.

Item ID:	75542
Item Type:	Article (Editorial)
ISSN:	1396-0466
Copyright Information:	Copyright © 2019, Payal Arora and Hallam Stevens. All Rights Reserved.
Date Deposited:	24 Aug 2022 00:10
FoR Codes:	46 INFORMATION AND COMPUTING SCIENCES > 4605 Data management and data science > 460599 Data management and data science not elsewhere classified @ 50% 44 HUMAN SOCIETY > 4410 Sociology > 441007 Sociology and social studies of science and technology @ 50%
SEO Codes:	13 CULTURE AND SOCIETY > 1399 Other culture and society > 139999 Other culture and society not elsewhere classified @ 50% 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220408 Information systems @ 50%
Downloads:	Total: 1
	More Statistics