Modeling, Visualization, and Analysis of African Innovation Performance
This work addresses innovation measurement for African countries, but it is incremental as it applies existing methods to new data.
The paper tackled the problem of quantifying and predicting African innovation performance using Global Innovation Index data, achieving predictions for the Mobile App Creation Indicator and Innovation Output Sub-index with simple machine learning techniques.
In this paper we discuss the concepts and emergence of Innovation Performance, and how to quantify it, primarily working with data from the Global Innovation Index, with emphasis on the African Innovation Performance. We briefly overview existing literature on using machine learning for modeling innovation performance, and use simple machine learning techniques, to analyze and predict the "Mobile App Creation Indicator" from the Global Innovation Index, by using insights from the stack-overflow developers survey. Also, we build and compare models to predict the Innovation Output Sub-index, also from the Global Innovation Index.