10th January 2022
Evidence for Development celebrated the start of a new project with Datakind in December 2021, following a very rigorous selection process.
As part of this new project, DataKind’s Data Ambassadors have been exploring whether machine learning can be used with geospatial datasets to create Livelihood Zone definitions. The aim is not to take local knowledge out of the equation, but to test how much of the process can be automated, thus reducing costs and widening the reach of this critical part of household economy assessments.
EfD’s William Shields is supporting this work as a volunteer while he is on sabbatical- which will be of huge benefit to the project.