This resource discusses the use of machine learning (ML) techniques in evaluation research and their potential to automate the process of extracting and classifying large amounts of texts. ML methods can...
Geographically disaggregated poverty data are vital for better understanding development issues and ensuring development efforts are directed to the places where they are most needed. Poverty has traditionally...
This guidebook for evaluators and other evaluation stakeholders provides an introductory overview of a range of methods that have been selected for their actual and potential use in the field of international...