We use predictive analytic and modeling techniques to, for example, define target populations, extract insights from unseen data, extrapolate findings, or plan ahead.
Some of the techniques we have used include: machine vision techniques to estimate coffee tree yields, Markov chain models to predict the evolution of education systems, gravity models to identify infrastructure gaps in Rwanda’s economic geography, and economic complexity models to study the latent trajectory of economies.