Poster for Social Institution Resilience Theory: Implications for Community Resilience Planning Models Conference Paper uri icon


  • An understanding of community resilience and how hazard events impact communities can lead to better policies and decisions designed to achieve community resilience goals. Communities achieve resilience when individual and household needs are equitably met through functioning physical and social systems. Social institutions, such as education and health care, help communities meet different needs. This poster presents a social institution resilience theory that can guide the integration of social institutions within computational modeling environments. The proposed theoretical framework combines the concepts of needs theory, community capitals, disaster phases, and social vulnerability. The research methodology utilized a systematic literature review and three case studies to answer the question of what community capitals facilitate or constrain a social institutions ability to equitably meet community needs during different disaster phases. Findings suggest that the significance of community capitals depends on disaster phases. For example, a response model that predicts if a hospital can meet basic survival needs, such as emergency room services, may be valid with components that measure natural and built capitals. Meanwhile, a recovery model that predicts how long after a disaster it would take before a school district will be able to meet higher needs, such as students' need for belonging, would not be valid unless it included measures of social, human, political, and financial capital. The proposed social institution resilience theory will help researchers understand the complexity of and the capitals that impact community resilience. This archive includes the Social Institution Resilience Theory poster and relevant support files including the jupyter notebooks used to search the literature, the results from the Atlas.ti literature coding process, and the jupyter notebooks used to analyze and visualize the results.

author list (cited authors)

  • Rosenheim, N., Meyer, M., Peacock, W., Stanley, M., Mahmoud, H., & Pena, A.

complete list of authors

  • Rosenheim, Nathanael||Meyer, M||Peacock, W||Stanley, M||Mahmoud, H||Pena, A

publication date

  • October 2021