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Data deprivations, data gaps and digital divides: Lessons from the COVID-19 pandemic

Big data & society, 2021-08, Vol.8 (2), p.205395172110255 [Peer Reviewed Journal]

UNU-WIDER 2021 ;UNU-WIDER 2021. This work is licensed under the Creative Commons Attribution License https://creativecommons.org/licenses/by/3.0/igo/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2053-9517 ;EISSN: 2053-9517 ;DOI: 10.1177/20539517211025545

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  • Title:
    Data deprivations, data gaps and digital divides: Lessons from the COVID-19 pandemic
  • Author: Naudé, Wim ; Vinuesa, Ricardo
  • Subjects: Artificial intelligence ; Coronaviruses ; COVID-19 ; Crises ; Data ; Data science ; Decision making ; Deprivation ; developing countries ; global impact ; Interoperability ; Pandemics
  • Is Part Of: Big data & society, 2021-08, Vol.8 (2), p.205395172110255
  • Description: This paper draws lessons from the COVID-19 pandemic for the relationship between data-driven decision making and global development. The lessons are that (i) users should keep in mind the shifting value of data during a crisis, and the pitfalls its use can create; (ii) predictions carry costs in terms of inertia, overreaction and herding behaviour; (iii) data can be devalued by digital and data deluges; (iv) lack of interoperability and difficulty reusing data will limit value from data; (v) data deprivation, digital gaps and digital divides are not just a by-product of unequal global development, but will magnify the unequal impacts of a global crisis, and will be magnified in turn by global crises; (vi) having more data and even better data analytical techniques, such as artificial intelligence, does not guarantee that development outcomes will improve; (vii) decentralised data gathering and use can help to build trust – particularly important for coordination of behaviour.
  • Publisher: London, England: SAGE Publications
  • Language: English
  • Identifier: ISSN: 2053-9517
    EISSN: 2053-9517
    DOI: 10.1177/20539517211025545
  • Source: Sage Journals Open Access Journals
    SWEPUB Freely available online
    Coronavirus Research Database
    ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
    DOAJ Directory of Open Access Journals
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