Revisiting community engagement methods in the context of data science research and big data use in South Africa
- PMID: 39328372
- PMCID: PMC11426191
- DOI: 10.17159/sajs.2023/14723
Revisiting community engagement methods in the context of data science research and big data use in South Africa
Keywords: big data; citizen science; community engagement; data ownership; data science.
Conflict of interest statement
Competing interests We have no competing interests to declare.
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References
-
- Benedek A, Molnar G, Szuts Z. Practices of crowdsourcing in relation to big data analysis and education methods. In: 2015 IEEE 13th International Symposium on Intelligent Systems and Informatics (SISY); 2015 September 17–19; Subotica, Serbia. IEEE; 2015. p. 167–172. 10.1109/SISY.2015.7325373 - DOI
-
- Dhar V. Data science and prediction. Commun ACM. 2013;56:64–73. 10.1145/2500499 - DOI
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