Volunteers and Algorithms Deliver Funds

Long-distance targeting: The words conjure up images of missiles and drones. But a collaboration involving IBM Research, a data science community called DataKind (TM), an NGO called GiveDirectly and a “data journalist” funded by the Knight Foundation got together in New York to deliver cash directly to extremely poor villagers in Kenya and Uganda. Armed only with computers, Google satellite images and an algorithm, the team ultimately facilitated the distribution of cash payments via mobile phone — and gave people a way to better their lives.

In this episode of Inside IBM Research, IBM’s Kush Varshney talks about the work he did with data journalist Brian Abelson, a crew of social innovators and twenty idealistic volunteers to target a problem half-way around the world.

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Read the transcript and Kush’s research paper:researcher.watson.ibm.com/researcher/v….php?id=5666


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