Data science research in sub-Saharan Africa: Ethical considerations in crowdsourcing for community engagement

Authors

  • Suzanne Day Department of Medicine, Division of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA https://orcid.org/0000-0001-7546-8749
  • Stuart Rennie 1.Department of Social Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA; 2.UNC Center for Bioethics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA https://orcid.org/0000-0003-3844-972X

DOI:

https://doi.org/10.17159/sajs.2023/14911

Keywords:

data science, ethics, crowdsourcing, community engagement, sub-Saharan Africa

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Published

2023-05-30

Issue

Vol. 119 No. 5/6 (2023)

Section

Commentary

License

Creative Commons License
All articles are published under a Creative Commons Attribution 4.0 International Licence

Copyright is retained by the authors. Readers are welcome to reproduce, share and adapt the content without permission provided the source is attributed.

Disclaimer: The publisher and editors accept no responsibility for statements made by the authors

How to Cite

Day, S., & Rennie, S. (2023). Data science research in sub-Saharan Africa: Ethical considerations in crowdsourcing for community engagement. South African Journal of Science, 119(5/6). https://doi.org/10.17159/sajs.2023/14911

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