Public interest technology combines data, design and policy to close gaps between what government programs promise and what people actually receive — citing examples like lead-poisoning prevention in Chicago, eviction-risk targeting in Allegheny County, and crisis-cycle tracking in Johnson County, Kansas. Allegheny County uses a machine learning system to direct limited outreach dollars toward the roughly 10,000-15,000 residents who receive eviction notices annually.
New York recently launched a Public Interest Technology Crew embedding specialists in city agencies, starting with a portal for reporting subscription-cancellation law violations. Organizations like the U.S. Digital Corps and Data Science for Social Good are building similar partnerships, with universities increasingly folding the field into coursework.
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