Big data for development for the Global South : a research and policy agenda

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dc.contributor.author Samarajiva, Rohan
dc.date.accessioned 2018-03-20T19:00:18Z
dc.date.available 2018-03-20T19:00:18Z
dc.date.issued 2017-03
dc.identifier.uri http://hdl.handle.net/10625/56909
dc.description Annex V for IDL-56905 en
dc.description.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. en
dc.format.mimetype application/pdf
dc.language.iso en
dc.relation.uri http://hdl.handle.net/10625/56905
dc.subject BIG DATA en
dc.subject BD4D en
dc.subject SUSTAINABLE DEVELOPMENT GOALS en
dc.subject NON-TRADITIONAL DATA SOURCES en
dc.subject RESEARCH AGENDA en
dc.subject GLOBAL SOUTH en
dc.subject RESEARCH METHODOLOGIES en
dc.subject DATA COLLECTION en
dc.subject DATA MINING en
dc.subject MARGINALIZATION en
dc.subject PERSONAL DATA FILES en
dc.subject PRIVACY PROTECTION en
dc.subject SOUTH ASIA en
dc.title Big data for development for the Global South : a research and policy agenda en
dc.type Working Paper en
idrc.project.number 108316
idrc.project.title Big data for development and the global goals en
idrc.dspace.access Open Access en
idrc.rims.adhocgroup IDRC SUPPORTED en
idrc.recordsserver.bcsnumber IC36-1643402171-192661


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