COLLABORATIVE RESEARCH: RAPID: How decision-making about risk and interdependencies impact well-being: A baseline study of communities affected by Hurricane Harvey.

该奖项支持的研究将开发灾难恢复结果的比较案例，以评估在风险社区促进适应性复原力的最佳战略。所有拟议的地点都位于德克萨斯州东南部，受到飓风哈维的影响。它们包括低洼的沿海和农村农业和牧场地区，博蒙周围暴露于石油化工和洪水的城镇，以及被洪水淹没并暴露于受污染的废物沃茨和工业垃圾的休斯顿核心城区。选择这些地点是为了代表一系列的社会经济地位、种族构成、生计和暴露风险。该项目具有创新性，采用了农业背景下的正式决策技术，以确定恢复经验和总体福祉故事中的因素，特别是与风险和在真实的世界中产生决策的许多相互依存的因素有关的因素。该研究将确定影响决策的突出因素集群中的变化和相似性，以确定恢复过程中的关键点，这些关键点可以支持或阻碍恢复和长期福祉。这些将从最初的重大决定开始开始，比如是否撤离，并将在一年中随着新的选择的出现而进展。这项研究的结果将有助于深入了解美国的灾难恢复管理科学，这可以导致更强大，人性化和可持续的恢复。研究人员将采用人类学定性和定量方法相结合。通过访谈和参与观察，他们将追踪幸存者家庭的关键时刻和日常生活，在12个月内访问6个社区的10个家庭，每个社区4次。除了人种学数据收集，研究人员还将在研究开始和结束时进行两次定量家庭生计和福祉调查，并跟踪家庭和职业财务的变化。他们还将收集生物社会数据，包括水质测试，以检测工业污染物，石油或天然气残留物以及异常微生物活动的存在或到达。这些家庭层面的数据的总和将使这项研究能够为幸存者个人所做的不同类别的选择开发一系列决策模型，并扩大到社区，生计团体和其他类别的分析所做的模型决策，如阶级和种族，在复苏的第一年。该项目还将为两名研究生提供实地研究经验。

The research supported by this award will develop comparative cases of disaster recovery outcomes to assess best strategies for fostering adaptive resilience in at-risk communities. All proposed sites are located in southeastern Texas and were affected by Hurricane Harvey. They include low-lying coastal and rural agricultural and ranching areas, towns around Beaumont exposed to petrochemicals and flooding, and core urban areas of Houston that were flooded and exposed to contaminated waste waters and industrial refuse. These sites were chosen to represent a range of socioeconomic statuses, ethnic compositions, livelihoods, and exposure risk. The project is innovative in adapting formal decision-making techniques from agricultural contexts to identify factors situated within stories of recovery experiences and overall wellbeing, especially related to risk and the many interdependent factors that produce decisions in the real world. The research will identify variations and similarities in the clusters of salient factors impinging on decisions in order to locate critical points in the recovery process that can support or create barriers to recovery and long term wellbeing. These will begin with the initial big decisions, such as whether or not to evacuate and will progress over the year as new choices arise. Findings from this research will contribute insights into the science of disaster recovery management in the United States, which can lead to more robust, humane, and sustainable recoveries.The researchers will employ a combination of anthropological qualitative and quantitative methods. Through interviews and participant observation, they will track pivotal moments and everyday life in survivor households, visiting ten households in each of six communities four times over twelve months. In addition to the ethnographic data collection, the investigators will carry out two quantitative household livelihood and well-being surveys at the beginning and the end of the study, and track changes in household and occupational finances. They will also collect biosocial data, including water quality testing to detect the presence or arrival of industrial pollutants, oil or gas residues, and unusual microbial activity. The sum of these household-level data will position this research to develop a series of decision-making models for different categories of choices made by individual survivors and scaled up to model decision-making made by communities, livelihood groups, and other categories of analysis such as class and ethnicity, over the course of the first year of recovery. The project will also provide field-based research experience for two graduate students.