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Data, global development, and COVID-19: Lessons and consequences

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  • Wim Naudé
  • Ricardo Vinuesa

Abstract

The COVID-19 pandemic holds at least seven lessons for the relationship between data-driven decision making, the use of artificial intelligence, and development.

Suggested Citation

  • Wim Naudé & Ricardo Vinuesa, 2020. "Data, global development, and COVID-19: Lessons and consequences," WIDER Working Paper Series wp-2020-109, World Institute for Development Economic Research (UNU-WIDER).
    • Handle: RePEc:unu:wpaper:wp-2020-109
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    File URL: https://www.wider.unu.edu/sites/default/files/Publications/Working-paper/PDF/wp2020-109.pdf
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    References listed on IDEAS

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    2. Dirk Bergemann & Alessandro Bonatti & Tan Gan, 2022. "The economics of social data," RAND Journal of Economics, RAND Corporation, vol. 53(2), pages 263-296, June.
    3. Charles I. Jones & Christopher Tonetti, 2020. "Nonrivalry and the Economics of Data," American Economic Review, American Economic Association, vol. 110(9), pages 2819-2858, September.
    4. Jappelli, Tullio & Carillo, Mario Francesco, 2020. "Pandemics and Local Economic Growth: Evidence from the Great Influenza in Italy," CEPR Discussion Papers 14849, C.E.P.R. Discussion Papers.
    5. Pietro Battiston & Simona Gamba, 2020. "COVID-19: R0 is lower where outbreak is larger," Working Papers 438, University of Milano-Bicocca, Department of Economics, revised Apr 2020.
    6. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asu Ozdaglar, 2022. "Too Much Data: Prices and Inefficiencies in Data Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 14(4), pages 218-256, November.
    7. Christopher Avery & William Bossert & Adam Thomas Clark & Glenn Ellison & Sara Ellison, 2020. "Policy Implications of Models of the Spread of Coronavirus: Perspectives and Opportunities for Economists," CESifo Working Paper Series 8293, CESifo.
    8. Sanna Ojanperä & Mark Graham & Matthew Zook, 2019. "The Digital Knowledge Economy Index: Mapping Content Production," Journal of Development Studies, Taylor & Francis Journals, vol. 55(12), pages 2626-2643, December.
    9. Erik Brynjolfsson & John J. Horton & Adam Ozimek & Daniel Rock & Garima Sharma & Hong-Yi TuYe, 2020. "COVID-19 and Remote Work: An Early Look at US Data," NBER Working Papers 27344, National Bureau of Economic Research, Inc.
    10. Battiston, Pietro & Gamba, Simona, 2021. "COVID-19: R0 is lower where outbreak is larger," Health Policy, Elsevier, vol. 125(2), pages 141-147.
    11. Eva‐Maria Egger & Sam Jones & Patricia Justino & Ivan Manhique & Ricardo Santos, 2023. "Africa's lockdown dilemma: High poverty and low trust," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(7), pages 1648-1666, October.
    12. Geoffrey Heal, 2017. "The Economics of the Climate," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 1046-1063, September.
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    Cited by:

    1. Raghu Raman & Krishnashree Achuthan & Ricardo Vinuesa & Prema Nedungadi, 2021. "COVIDTAS COVID-19 Tracing App Scale—An Evaluation Framework," Sustainability, MDPI, vol. 13(5), pages 1-19, March.
    2. Raghu Raman & Ricardo Vinuesa & Prema Nedungadi, 2021. "Bibliometric Analysis of SARS, MERS, and COVID-19 Studies from India and Connection to Sustainable Development Goals," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    3. Randolph Hall & Andrew Moore & Mingdong Lyu, 2023. "Tracking Covid-19 cases and deaths in the United States: metrics of pandemic progression derived from a queueing framework," Health Care Management Science, Springer, vol. 26(1), pages 79-92, March.
    4. Naudé, Wim, 2020. "Industrialization under Medieval Conditions? Global Development after COVID-19," GLO Discussion Paper Series 704, Global Labor Organization (GLO).

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    Keywords

    Data science; Data; Artificial intelligence; COVID-19; Development; Crisis;
    All these keywords.

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