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Friday, August 19, 2016

Predicting Human Poverty From Space

Artificial Intelligence Is Predicting Human Poverty From Space (+Video)

Sarah Emerson | August 18, 2016

Getting aid to impoverished Africans is hard enough, what with blockades of bureaucracy and red tape. But in many African countries, bad data, or a lack of it, makes distributing funds even more troublesome.
“Fighting poverty has always been this shining goal of the modern world,” Neal Jean, a doctoral student in computer science at Stanford University’s School of Engineering, told me. “It’s the number one priority for the United Nation’s 2030 Agenda for Sustainable Development, but the major challenge is that there’s not enough reliable data. It’s really hard to help impoverished people when you don’t know where they are.”


<more at; related articles and links: (Transforming our world: the 2030 Agenda for Sustainable Development. September 25, 2015) and (Satellite Images Can Help Predict Poverty. August 18, 2016)>

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