A Guidebook on Mapping Poverty through Data Integration and Artificial Intelligence

Abstract

Since the sustainable development goals (SDGs) were launched in 2015, both traditional and innovative types of data have imperative in understanding the progress that has been made in achieving those goals. By providing more timely, granular and comprehensive information, innovative sources complement traditional ones that are often constrained by high data collection costs.