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，以评估在风险社区培养适应能力的最佳战略。所有提议的地点都位于德克萨斯州东南部，并受到哈维飓风的影响。它们包括低洼的沿海和农村农业和牧场地区，博蒙特周围的城镇暴露在石化产品和洪水中，休斯顿的核心城区被洪水淹没，暴露在受污染的废水和工业垃圾中。这些地点的选择代表了一系列的社会经济地位、种族组成、生计和暴露风险。该项目创新地采用了农业背景下的正式决策技术，以确定康复经历和整体健康故事中的因素，特别是与风险和现实世界中产生决策的许多相互依存因素相关的因素。该研究将确定影响决策的显著因素集群中的差异和相似之处，以便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健康。这些将从最初的重大决定开始，比如是否撤离，并将随着新选择的出现而在一年中取得进展。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，从而实现更强大、更人道、更可持续的恢复。研究人员将采用人类学定性和定量相结合的方法。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个社区中每个社区的10个家庭4次。除了收集人种学数据外，研究者还将在研究开始和结束时进行两次定量的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，以检测工业污染物的存在或到达，石油或天然气残留物，以及不寻常的微生物活动。这些家庭层面数据的总和将使本研究能够为个体幸存者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（如阶级和种族）所做的决策模型，在恢复的第一年。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.