Brief What if Cities Used Data to Drive Inclusive Neighborhood Change?
Solomon Greene, Kathryn L.S. Pettit
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Policy responses to neighborhood changes that displace or otherwise harm vulnerable populations often come too late and at too great a price. This essay proposes integrating multiple data sources to develop neighborhood-level early warning and response systems that can help city leaders and community advocates get ahead of these changes. Using intelligence generated through these data systems, local leaders could adopt interventions that secure inclusion in dynamic neighborhoods.

Research Areas Wealth and financial well-being Neighborhoods, cities, and metros Race and equity Housing
Tags Housing markets Racial segregation Housing affordability Wealth inequality Mobility Inequality and mobility Community and economic development Racial barriers to housing Neighborhood change
Policy Centers Metropolitan Housing and Communities Policy Center