The Contribution of Social Capital and Social Organization to Disaster Recovery

PI和Co-PI：Frederick D. Weil，PI，和Troy Blanchard，共同PI，社会学系，路易斯安那州州立大学，巴吞鲁日，LA。题目：社会资本和社会组织对灾难恢复的贡献。 来自政府、保险和商业来源的资金往往来得很慢，或者不足以满足需要。 对许多人来说，非营利部门，特别是基于信仰和社区的组织，以及非正式的社交网络，对他们的福祉以及返回和重建的能力所作的贡献与物质资源一样多，甚至更多。 知识传统的基础上，可以追溯到托克维尔的民主和社区的描述，这项研究借鉴了最近的工作，社会资本和公民参与，以解释不同的社区如何试图恢复。 研究人员将对已经或尚未返回的大新奥尔良居民进行调查。 调查将使用标准电话、上门调查和其他方法。 其目标是评估哪些因素对鼓励回返和重建、帮助人们科普压力和发展社区复原力作用最大。 具体而言，调查人员（a）使用地理信息系统（GIS）评估受访者住所和周围社区的物理损坏和恢复情况，以及（B）调查受访者所属组织的领导人，询问他们的恢复策略。 通过将这些数据与我们的社会调查相结合，调查人员试图通过将不同的恢复策略与相应社区的结果直接联系起来，来评估它们的相对成功。 这些分析有助于社会资本，社会组织，公民参与，民间社会，非营利部门的作用，社区研究，灾难恢复和复原力的理论和实证文献，以及在数据收集，多层次和地理空间-社会建模和分析，科学-社区互动和伙伴关系的创新领域的方法论贡献。

PI and Co-PI: Frederick D. Weil, PI, and Troy Blanchard, Co-PI, Department of Sociology, Louisiana State University, Baton Rouge, LA.Title: The Contribution of Social Capital and Social Organization to Disaster Recovery.0753742AbstractNew Orleans' recovery from Hurricane Katrina has been an enormous task. Money from government, insurance, and business sources has often been slow in arriving or inadequate to the needs. For many people, the nonprofit sector, especially faith-based and community organizations, and informal social networks have contributed as much or more to their well-being and ability to return and rebuild as have material resources. Building on intellectual traditions that go back to Tocqueville's descriptions of democracy and community, this research draws on recent work on social capital and civic participation to explain how different communities have attempted to recover. The researchers will conduct surveys of Greater New Orleans residents who have, or have not, returned. The surveys will use standard telephone, door-to-door methods, and other methods. The goal is to assess which factors do most to encourage return and rebuilding, help people to cope with stress, and develop community resilience. In particular, the investigators (a) assess the physical damage and recovery of respondents' residences and surrounding neighborhoods, using Geographic Information Systems (GIS), and (b) survey leaders of the organizations to which respondents belong, asking about their strategies for recovery. By combining these data with our social surveys, the investigators attempt to assess the relative success of different recovery strategies by relating them directly to outcomes in their corresponding communities. The analyses contribute to the theoretical and empirical literature on social capital, social organization, civic engagement, civil society, the role of the nonprofit sector, community studies, and disaster recovery and resilience, as well as make methodological contributions in the areas of innovations in data collection, multi-level and geospatial-social modeling and analysis, and scientific-community interaction and partnership.