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Data-driven organizing [electronic resource] : a community–university partnership to address vacant and abandoned property /

by Teixeira, Samantha; Wallace, John M.
Material type: materialTypeLabelArticleDescription: pp. 248-262.Subject(s): Community-based participatory research, community organizing, neighborhood, university–community partnerships, built environment, housingOnline resources: Click here to access full-text article In: Journal of community practice 2013, Vol. 21, No. 3Summary: Vacant and abandoned properties adversely affect the physical, mental, social, and economic health and well-being of individuals, families, and communities. This article describes a community–university partnership that combined a multimethod data collection strategy with a novel community-based participatory intervention research model (i.e., data-driven organizing) to address the vacancy problem. The project assessed the conditions of over 1,500 properties in an economically disadvantaged, predominantly African American neighborhood in Pittsburgh, Pennsylvania, and mobilized residents to use an existing policy mechanism to ameliorate the impact of property vacancy in the community.
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Vacant and abandoned properties adversely affect the physical, mental, social, and economic health and well-being of individuals, families, and communities. This article describes a community–university partnership that combined a multimethod data collection strategy with a novel community-based participatory intervention research model (i.e., data-driven organizing) to address the vacancy problem. The project assessed the conditions of over 1,500 properties in an economically disadvantaged, predominantly African American neighborhood in Pittsburgh, Pennsylvania, and mobilized residents to use an existing policy mechanism to ameliorate the impact of property vacancy in the community.

Mode of access: Internet.


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