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The Fading Gloss of Data Science: Towards an Agenda that Faces the Challenges of Big Data for Development and Humanitarian Action

Author

Listed:
  • Miren Gutierrez

    (University of Deusto)

  • John Bryant

    (Humanitarian Policy Group, ODI)

Abstract

Different UN and international agencies are busy trying to leverage big data to unlock its value for evidence-based decision-making 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 humanitarianism.

Suggested Citation

  • Miren Gutierrez & John Bryant, 2022. "The Fading Gloss of Data Science: Towards an Agenda that Faces the Challenges of Big Data for Development and Humanitarian Action," Development, Palgrave Macmillan;Society for International Deveopment, vol. 65(1), pages 80-93, March.
    • Handle: RePEc:pal:develp:v:65:y:2022:i:1:d:10.1057_s41301-022-00327-2
    DOI: 10.1057/s41301-022-00327-2
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    References listed on IDEAS

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    4. Luc Rocher & Julien M. Hendrickx & Yves-Alexandre de Montjoye, 2019. "Estimating the success of re-identifications in incomplete datasets using generative models," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    5. Miren Gutiérrez & Guillermo Gutiérrez, 2019. "Climate Finance: Perspectives on Climate Finance from the Bottom Up," Development, Palgrave Macmillan;Society for International Deveopment, vol. 62(1), pages 136-146, December.
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