Abstract:Different UN and international agencies are busy trying to leverage big data to unlock its value for evidence-based decisionmaking in development and humanitarian action. But many vulnerable people are invisible to the data infrastructure, while just integrating their data without understanding the consequences can make them even more vulnerable. This article unpacks the challenges presented by data science for development and humanitarianismand also check that the section heading are correctly identified.
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