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date: 03 August 2020

Abstract and Keywords

Data mining technologies are increasingly prominent in development and aid initiatives in which context they may be understood to be doing work of global governance. This chapter explains how data mining may be so characterized and explores how this work may be compared to more conventional governance techniques and institutions. The chapter first provides an overview of some exemplary initiatives among international institutions in which data mining plays a crucial role. It then presents a playful, mundane analogy for a governance challenge—the sorting of a sock drawer—and compares a familiar law and policy approach and a data mining approach to this challenge. Lastly, it highlights what may be at stake in the practice of data mining on the global plane and associated shifts in regulatory technique, arguing for this practice to be regarded as a matter of broad-ranging public concern.

Keywords: data mining, global governance, international organizations, development, humanitarian aid, law, policy, regulatory technique

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