Data-driven models of governance across borders: Datafication from the local to the global

  • Payal Arora
  • Hallam Stevens

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.

Author Biography

Hallam Stevens
associate professor of history at Nanyang Technological University in Singapore
Published
2019-04-01
How to Cite
Arora, P., & Stevens, H. (2019). Data-driven models of governance across borders: Datafication from the local to the global. First Monday, 24(4). https://doi.org/10.5210/fm.v24i4.9831