The Project

Our NGO partner IMPACT Initiatives presented us with the challenge of predicting the need-profiles (MSNA) of people in the ongoing humanitarian crisis in Nigeria, which affects over 7 million people and is one of the largest such crises today. Need-categories are defined by the United Nations and include for example 'Wash', 'Education' or 'Shelter'. Accurate need-profiles help inform evidence-based humanitarian aid and support efficient disaster relief.

You can learn more about the project in our press release.

Partners:

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Teams

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Team Black

“We saved time by asking only the most insightful question using a Bayesian generative model.”


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Team Yellow

“We saved time by asking only the most insightful question using a Bayesian generative model.”


Team Green

“We leveraged interactive visualization and predictive analytics to identify people in need.”


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Team Red

“We used clustering and predictive methods to find people in need, while challenging the definition of sectoral needs.”


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