The Contribution of Social Capital and Social Organization to Disaster Recovery

PI和Co-PI: Frederick D. Weil， PI和Troy Blanchard， Co-PI，社会学系，路易斯安那州立大学，Baton Rouge， LA。题目：社会资本和社会组织对灾后恢复的贡献。[0753742]卡特里娜飓风过后，新奥尔良的灾后恢复是一项艰巨的任务。来自政府、保险和商业来源的资金往往姗姗来迟或不足以满足需求。对许多人来说，非营利部门，尤其是基于信仰和社区的组织，以及非正式的社会网络，对他们的福祉和回归重建能力的贡献与物质资源一样多，甚至更多。本研究以可以追溯到托克维尔对民主和社区的描述的知识传统为基础，借鉴了最近关于社会资本和公民参与的研究，来解释不同的社区是如何试图恢复的。研究人员将对大新奥尔良地区已经或尚未返回的居民进行调查。调查将采用标准的电话、上门调查和其他方法。目的是评估哪些因素最能鼓励返回和重建，帮助人们应对压力，并发展社区恢复力。特别是，调查者(a)利用地理信息系统（GIS）评估被调查者住所和周围社区的物理损害和恢复情况，(b)调查被调查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，研究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。这些分析为社会资本、社会组织、公民参与、公民社会、非营利部门的作用、社区研究、灾难恢复和复原力等方面的理论和实证文献做出了贡献，并在数据收集创新、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等领域做出了方法论贡献。

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.