Map the disadvantaged neighbourhoods in developing countries

Monika Kuffer is developing a machine-learning based framework to map the disadvantaged neighbourhoods in developing countries. In global south cities, population statistics about poor neighbourhoods are often unavailable or ignore large proportions of poor inhabitants. However, such statistics are urgently needed to support slum improvement, disaster response and health interventions. This research utilizes satellite images, machine-learning and local data to estimate the amount of poor inhabitants.

The framework estimates the population of invisible spaces in support of the SDG Slum Indicator. In global south cities, population statistics about poor neighbourhoods are often unavailable or ignore large proportions of poor inhabitants. However, such statistics are urgently needed to support slum improvement, disaster response and health interventions. This research utilizes satellite images, machine-learning and local data to estimate the amount of poor inhabitants.