Viability, Verification, Validity: 3Vs of Crowdsourcing

This study, funded by Canada's International Development Research Centre (IDRC) was iHub Research's first foray into data science, applying machine learning techniques to analyzing Kenyan twitter data from the 2013 elections. This was an important project to help build out our data science capacities and also to establish a strong partnership with IDRC with whom we went on to partner in managing a research fund worth over 1.2 million Canadian dollars towards supporting Open and Collaborative Science research in the global South.

This PECE essay helps to answer the STS Across Borders analytic question: “What people, projects, and products exemplify how this STS formation has developed over time?

This essay is part of a broader exhibit on iHub Research.

License

Creative Commons Licence

Contributors

Created date

July 6, 2018

Cite as

Angela Okune. 6 July 2018, "Viability, Verification, Validity: 3Vs of Crowdsourcing ", STS Infrastructures, Platform for Experimental Collaborative Ethnography, last modified 6 July 2018, accessed 8 August 2022. https://stsinfrastructures.org/content/viability-verification-validity-3vs-crowdsourcing