Analysts are using artificial intelligence to supercharge their research by allowing them to comb through data faster. Though these AI tools can be error prone, they save time and housing researchers are optimistic about the future.
Shelterforce checks in with housing researchers who are harnessing AI to process vast, disorganized data like eviction and housing cost records. The tools they used dramatically reduced manual labor, turning years-long tasks into work completed within days.
Projects at the RAND Corporation and the Urban Displacement Project have revealed key insights, including cost disparities between states and municipal fee impacts.
However, AI remains error-prone — misreading numbers, formats, or context — making human oversight essential. Ultimately, while AI shows promise for improving housing policy research at scale, clean data, careful review, and political commitment are still critical for meaningful change.
FULL STORY: Researchers are Using AI to Get a Clearer Picture of Housing in the U.S.
Planetizen Federal Action Tracker
A weekly monitor of how Trump’s orders and actions are impacting planners and planning in America.
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FREE Course: Walkable City 1: Why Walkability?
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Reinventing Malls: Planning Alchemy—Turning Gray Fields Into Gold
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Eagle County Government
Harvard University Graduate School of Design
Nashville Planning Department
The Architects Foundation
University of Cincinnati Online
The Pocatello Development Authority
The Urban Renewal Agency of the City of Pocatello
Journal of the American Planning Association