Big data for development for the Global South : a research and policy agenda
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2017-03
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Abstract
Big data for development (BD4D) requires greater attention to representivity, validation, and the minimization of harm, not only in terms of privacy, but also marginalization - as when large swaths of populations are excluded from analysis because their data are not analyzable. This paper begins the process of involving organizations from the global south in shaping BD4D research and policy agendas. The conception of (BD4D) research as some kind of magic bullet that would displace prior research methods is not defensible even as the idea gathers momentum. Group harms and harms to competition and innovation are also presented.
Description
Annex V for IDL-56905
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Working Paper
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Keywords
BIG DATA, BD4D, SUSTAINABLE DEVELOPMENT GOALS, NON-TRADITIONAL DATA SOURCES, RESEARCH AGENDA, GLOBAL SOUTH, RESEARCH METHODOLOGIES, DATA COLLECTION, DATA MINING, MARGINALIZATION, PERSONAL DATA FILES, PRIVACY PROTECTION, SOUTH ASIA