Viability, Verification, Validity: 3Vs of Crowdsourcing

Cite as:

Okune, Angela, Philip Ochola Mak'Anyengo, Sylvester Wachira Ndaiga, Sidney Ochieng, Rhoda Omenya, Chris Orwa, Nanjira Sambuli, and Varyanne Sika. 2018. "Viability, Verification, Validity: 3Vs of Crowdsourcing." In "iHub Research (2011 - 2017): A Critical Technology Action Research Group Within Nairobi's Flagship Tech Innovation Hub," edited by Okune et al. In STS Across Borders Digital Exhibit, edited by Aalok Khandekar and Kim Fortun. Society for Social Studies of Science. August.


AO: 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.


STS Across Borders seeks to showcase STS from different regions, diasporas, and genealogies by exploring different ways STS developed across time and space, and the structures, infrastructures, and systems that have allowed–or worked against–the cultivation of STS modes of thinking. Digital collections developed as part of STS Across Borders are hosted in an evolving archive, infraStrucTureS.

Learn more here.

3Vs Crowdsourcing Framework

AO: This framework was developed out of the experience of crowdsourcing during the 2013 Kenyan elections to help others understand what factors and considerations would be useful in assessing whether there is an adequate online "crowd" to source information from.Read more