Harvard Ash Center Innovators Insights: Using Predictive Analysis of Eviction Data

"By using predictive analytics of eviction data from New York City’s Department of Homeless Services, city officials are working to better identify individuals and families at the greatest risk of becoming homeless. In an effort to intervene before residents are turned out on the streets, the city is working with big data nonprofit SumAll.org to create an algorithm that helps find families in peril of eviction and target social services accordingly. Real-time visualizations of neighborhood eviction hotspots will allow social workers to provide those in need with information on legal services and housing programs within the window between first court filings and actual removal from the home."

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