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，以评估在面临风险的社区培养适应性复原力的最佳战略。所有拟议的选址都位于德克萨斯州东南部，并受到飓风哈维的影响。这些地区包括地势低洼的沿海和农村农业和牧场区，博蒙特周围暴露在石化产品和洪水中的城镇，以及休斯顿的核心城区，这些地区被洪水淹没，暴露在受污染的废水和工业垃圾中。这些地点被选为代表一系列社会经济状况、种族构成、生计和暴露风险的场所。该项目在调整农业背景下的正式决策技术方面具有创新性，以确定复苏经验和整体福祉中的因素，特别是与风险和在现实世界中产生决策的许多相互依存的因素有关的因素。这项研究将确定影响决策的一系列显著因素的差异和相似之处，以确定复苏进程中可能支持或阻碍复苏和长期福祉的关键点。这些将从最初的重大决定开始，比如是否撤离，随着新的选择的出现，这些决定将在一年内取得进展。这项研究的发现将有助于深入了解美国的灾难恢复管理科学，从而实现更稳健、更人性化和更可持续的恢复。研究人员将采用人类学定性和定量相结合的方法。通过访谈和参与者观察，他们将跟踪幸存者家庭的关键时刻和日常生活，在12个月内四次走访六个社区中每个社区的十户家庭。除了收集民族志数据外，调查人员还将在研究开始和结束时进行两次定量的家庭生计和幸福调查，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的存在或到达，以及异常的微生物活动。这些家庭数据的总和将使这项研究能够为幸存者个人作出的不同类别的选择开发一系列决策模型，并扩大到社区、生计团体和其他分析类别的决策模型，如阶级和族裔，在第一年的恢复过程中。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.