Big data determines that post-disaster aid doesn’t go to the people who most need it

The city of Houston suspected that many people in need after Harvey weren’t getting aid from the federal government, so they contracted with Civis Analytics to build a new, data-driven model.

In August 2017, Hurricane Harvey made landfall in Houston and poured water on the city for days, growing into the worst documented rainstorm in United States history. In the months after the storm, it became clear to the Houston Department of Housing and Community Development (HCD) that the money coming in from FEMA for homeowners impacted by flooding would not be enough; it rarely is.

Author: Eillie Anzilotti

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