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Left to other peoples’ devices? A political economy perspective on the big data revolution in development

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  • Mann, Laura

Abstract

This article brings a political economy perspective to the field of Data for Development (D4D). It highlights the fact that many projects involve extracting data from African-based organizations for expert analysis in advanced economies. This extraction is justified on the basis that it is being used for humanitarian purposes. Key actors including the UN Global Pulse and World Economic Forum have lobbied for a governance framework emphasizing greater emission, personalization and centralization of data. The article shows how this approach enables the strategies of multinational corporations which are aiming to become data custodians of Africa’s emerging economies. Little attention has been paid to the geographical distribution of capacity building nor to the ways in which data-driven restructuring may alter existing livelihoods. As African economies become increasingly ‘digital’, data will become a source of power in economic governance. Current frameworks amount to a kind of industrial policy that supports the learning and innovation of foreign firms. The article aims to move D4D away from the focus on humanitarianism towards economic development, considering the opportunities for African citizens to benefit from their data as a source of revenue, knowledge and power. The conclusion suggests lines of inquiry for taking research further.

Suggested Citation

  • Mann, Laura, 2018. "Left to other peoples’ devices? A political economy perspective on the big data revolution in development," LSE Research Online Documents on Economics 85057, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:85057
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    File URL: http://eprints.lse.ac.uk/85057/
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    Cited by:

    1. Marine Al Dahdah, 2022. "Between Philanthropy and Big Business: The Rise of mHealth in the Global Health Market," Development and Change, International Institute of Social Studies, vol. 53(2), pages 376-395, March.
    2. Heimerl, Veronika & Raza, Werner, 2018. "Digitalization and development cooperation: An assessment of the debate and its implications for policy," Briefing Papers 19, Austrian Foundation for Development Research (ÖFSE).
    3. Mann, Laura & Iazzolino, Gianluca, 2021. "From development state to corporate leviathan: historicizing the infrastructural performativity of digital platforms within Kenyan agriculture," LSE Research Online Documents on Economics 110725, London School of Economics and Political Science, LSE Library.
    4. Anita Gurumurthy & Nandini Chami, 2019. "Development Justice in the Digital Paradigm: Agenda 2030 and Beyond," Development, Palgrave Macmillan;Society for International Deveopment, vol. 62(1), pages 19-28, December.
    5. Elisabeth Simelton & Mariette McCampbell, 2021. "Do Digital Climate Services for Farmers Encourage Resilient Farming Practices? Pinpointing Gaps through the Responsible Research and Innovation Framework," Agriculture, MDPI, vol. 11(10), pages 1-27, September.
    6. Emily Aiken & Suzanne Bellue & Dean Karlan & Christopher R. Udry & Joshua Blumenstock, 2021. "Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance," NBER Working Papers 29070, National Bureau of Economic Research, Inc.
    7. Laura Mann & Gianluca Iazzolino, 2021. "From Development State to Corporate Leviathan: Historicizing the Infrastructural Performativity of Digital Platforms within Kenyan Agriculture," Development and Change, International Institute of Social Studies, vol. 52(4), pages 829-854, July.
    8. Julien Mercille, 2021. "Inclusive Smart Cities: Beyond Voluntary Corporate Data Sharing," Sustainability, MDPI, vol. 13(15), pages 1-13, July.
    9. Ali Bhagat & Leanne Roderick, 2020. "Banking on refugees: Racialized expropriation in the fintech era," Environment and Planning A, , vol. 52(8), pages 1498-1515, November.
    10. Sarah Godschall & Virginia Smith & Jonathan Hubler & Peleg Kremer, 2020. "A Decision Process for Optimizing Multi-Hazard Shelter Location Using Global Data," Sustainability, MDPI, vol. 12(15), pages 1-20, August.
    11. Viera Magalhães, João & Couldry, Nick, 2021. "Giving by taking away: big tech, data colonialism and the reconfiguration of social good," LSE Research Online Documents on Economics 107516, London School of Economics and Political Science, LSE Library.
    12. Omar Abu Hassim & Ismah Osman & Asmah Awal & Fhaisol Mat Amin, 2024. "Navigating the Path to Equitable and Sustainable Digital Agriculture among Small Farmers in Malaysia: A Comprehensive Review," Information Management and Business Review, AMH International, vol. 16(2), pages 173-188.
    13. Manby, Bronwen, 2021. "The Sustainable Development Goals and ‘legal identity for all’: ‘First, do no harm’," World Development, Elsevier, vol. 139(C).
    14. Xing Wei, 2024. "Data-Driven Revolution: Advancing Scientific and Technological Innovation in Chinese A-Share Listed Companies," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 9975-10002, September.
    15. Caroline E. Schuster, 2021. "‘Risky Data’ for Inclusive Microinsurance Infrastructures," Development and Change, International Institute of Social Studies, vol. 52(4), pages 780-804, July.

    More about this item

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics

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