Researchers are using a human-machine collaborative approach to assess areas of poverty in underdeveloped nations. Providing an accurate assessment of poverty is a global challenge with 53 countries not conducting agricultural surveys in the past 15 years, and 17 countries not publishing a population census. To fill the data gap new technologies are being used to estimate poverty using alternative sources including street views, aerial photos, and satellite images.
