Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/245596 
Erscheinungsjahr: 
2021
Schriftenreihe/Nr.: 
IZA Discussion Papers No. 14545
Verlag: 
Institute of Labor Economics (IZA), Bonn
Zusammenfassung: 
In this paper, we study the crowdsourcing of innovation in Africa through a data science contest on an intermediated digital platform. We ran a Machine Learning (ML) contest on the continent's largest data science contest platform, Zindi. Contestants were surveyed on their motivations to take part and their perceptions about AI in Africa. In total, 614 contestants submitted 15,832 entries, and 559 responded to the accompanying survey. From the findings, we answered several questions: who take part in these contests and why? Who is most likely to win? What are contestants' entrepreneurial aspirations in deploying AI? What are the obstacles they perceive to the greater diffusion of AI in Africa? We conclude that crowdsourcing of AI via data contest platforms offers a potential mechanism to alleviate some of the constraints in the adoption and diffusion of AI in Africa. Recommendations for further research are made.
Schlagwörter: 
crowdsourcing
innovation
data science
artificial intelligence
Africa
JEL: 
O31
O33
O36
O55
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
1.41 MB





Publikationen in EconStor sind urheberrechtlich geschützt.