The productivity of non-farm enterprises in rural Africa may be associated with the productivity of other spatially proximate farm and non-farm enterprises. To test for the presence and significance of such spatial autocorrelation we use data from the geo-referenced 2011 Ethiopian Rural...

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...

The productivity of non-farm enterprises in rural Africa may be associated with the productivity of other spatially proximate farm and non-farm enterprises. To test for the presence and significance of such spatial autocorrelation we use data from the geo-referenced 2011 Ethiopian Rural...

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...

The productivity of non-farm enterprises in rural Africa may be associated with the productivity of other spatially proximate farm and non-farm enterprises. To test for the presence and significance of such spatial autocorrelation we use data from the geo-referenced 2011 Ethiopian Rural...

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...