Successful Disaster Recovery Using the Community Capitals Framework

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PI: Goreham, G. (North Dakota State University)
Co-PIs: Klenow, D., and Koch, B. (North Dakota State University), Redlin, M. (South Dakota State University), Bathke, D., Mueller, A., and Wall, N. (University of Nebraska), Mantonya, K. (Heartland Center), Paul, B.K. (Kansas State University), Naile, T. and Gill, D. (Oklahoma State University)

Award: $24,976

Final Report

Project Abstract: The community capitals framework (CCF) can be a powerful tool to help communities successfully recover from natural disasters. This project develops useable CCF methods/materials for community leaders and officials to inventory their communities' assets that can be leveraged for disaster recovery. A team of research and Extension faculty from landgrant universities in five Midwestern states will meet to develop these methods/materials. The multidisciplinary team includes backgrounds in climatology, community development, education, emergency management, geography, journalism, and sociology. The methods/materials will be tested in case studies of three communities that have experienced a tornado (Nebraska), flood (North Dakota/Minnesota), or drought (Kansas). Although the research literature includes disaster recovery cases studies, very few case studies have been conducted using the CCF. The three case studies will use a mixed methods approach involving data from secondary, documentary, interview, observational, and photographic sources. A metaanalysis will be conducted on the three case studies to determine best disaster recovery practices based on thc CCF. The case studies and meta-analysis will serve three functions. First, a report applicable to emergency management Extension educators will be written to describe how community leaders and officials can build an inventory of their communities' assets to be leveraged if and when they need to recover from a natural disaster. Second, the case studies and meta-analysis will serve as a pilot as the team applies for subsequent research grant funding from federal sources. And third, the findings will serve as the basis for subsequent implementation grant funding from regional sources.

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