EAGER: Interdisciplinary and Social Science Extreme Events Reconnaissance (ISSEER)

EAGER：跨学科和社会科学极端事件侦察（ISSEER）

• 批准号: 1745611
• 负责人: Lori Peek
• 金额: $ 30万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1745611&HistoricalAwards=false
• 关键词: EAGER; Interdisciplinary; Social; Science; Extreme

Extreme events are increasing in frequency, magnitude, and scope as the population grows and infrastructure development further expands into hazard-prone areas. This project is concerned with how hazards and disaster research communities will respond to disaster events when they occur. At present, social science and interdisciplinary disaster research communities have no formal structure for organizing before or in the event of a disaster, no established process for communicating pressing research needs or ongoing projects, and hence no established culture regarding scientific agenda setting in terms of rapid reconnaissance research. In response, this EArly-concept Grant for Exploratory Research (EAGER) project will establish a scientific platform and coordinating network for Social Science Extreme Events Reconnaissance (SSEER) and a second platform and network for Interdisciplinary Science and Engineering Extreme Events Reconnaissance (ISEEER). SSEER and ISEEER will draw upon insights from the science of team science (SciTS) and leverage databases and information resources available through the Natural Hazards Center at the University of Colorado Boulder to build the capacity of the social science, engineering, and interdisciplinary hazards and disaster research communities. The ultimate vision for the work is to prepare individual researchers and teams to carry out extreme events rapid reconnaissance research that is coordinated, comprehensive, coherent, ethical, and scientifically rigorous. This project will result in the development of two new platforms and corresponding networks, SSEER and ISEEER that will help researchers respond to and overcome long-standing challenges that have stymied the advancement of the hazards and disaster field, including lack of identification and coordination of researchers and research teams; inadequate guiding research frameworks for rapid reconnaissance investigations; a lack of inventories of existing research protocols, instruments, and secondary data; over-emphasis on large-scale sudden-onset events; time-limited data collection and lack of replication across events; and lack of interdisciplinary integration in rapid reconnaissance teams. The work plan will contribute to existing knowledge and applications by: (1) identifying, cataloguing, and mapping researchers from a range of disciplines engaged in hazards and disaster research; (2) coordinating those researchers in the event of a major disaster; (3) developing research frameworks and ethical guidance for social science and interdisciplinary disaster research; (4) cataloging existing research protocols, instruments, validated scales and measures, and secondary data sets to allow researchers to more quickly characterize affected communities; and (5) convening social scientists, engineers, and scholars working in the science of team science to inform the project and advance the science and practice of rapid reconnaissance research.

随着人口增长和基础设施建设进一步扩展到灾害易发地区，极端事件的频率、强度和范围都在增加。该项目关注灾害和灾害研究团体在灾害事件发生时如何应对。目前，社会科学和跨学科灾害研究团体没有在灾害发生之前或发生时进行组织的正式结构，没有沟通紧迫研究需求或正在进行的项目的既定程序，因此没有关于快速侦察研究方面科学议程设定的既定文化。作为回应，这个早期概念探索性研究资助（EAGER）项目将为社会科学极端事件侦察（SSEER）建立一个科学平台和协调网络，以及第二个跨学科科学与工程极端事件侦察（ISEEER）平台和网络。 SSEER 和 ISEEER 将借鉴团队科学 (SciTS) 的见解，并利用科罗拉多大学博尔德分校自然灾害中心提供的数据库和信息资源来建设社会科学、工程以及跨学科灾害和灾害研究界的能力。这项工作的最终愿景是让个人研究人员和团队做好准备，开展协调、全面、连贯、道德和科学严谨的极端事件快速侦察研究。 该项目将开发两个新平台和相应网络：SSEER 和 ISEEER，这将帮助研究人员应对和克服阻碍危害和灾害领域发展的长期挑战，包括缺乏研究人员和研究团队的识别和协调；快速侦察的指导研究框架不充分；缺乏现有研究方案、仪器和二手数据的清单；过分强调大规模突发事件；数据收集有时间限制且缺乏跨事件的复制；快速侦察队缺乏跨学科整合。该工作计划将通过以下方式为现有知识和应用做出贡献：(1) 对从事灾害和灾害研究的一系列学科的研究人员进行识别、编目和绘图； (2) 在发生重大灾害时协调这些研究人员； (3) 制定社会科学和跨学科灾害研究的研究框架和伦理指导； (4) 对现有的研究方案、仪器、经过验证的量表和措施以及辅助数据集进行编目，以便研究人员能够更快地描述受影响社区的特征； (5) 召集从事团队科学科学工作的社会科学家、工程师和学者，为该项目提供信息并推进快速侦察研究的科学和实践。

项目成果

What Methods Do Social Scientists Use to Study Disasters? An Analysis of the Social Science Extreme Events Research Network

• DOI: 10.1177/0002764220938105
• 发表时间: 2020-07-01
• 期刊: AMERICAN BEHAVIORAL SCIENTIST
• 影响因子: 3.2
• 作者: Peek, Lori;Champeau, Heather;Wu, Haorui
• 通讯作者: Wu, Haorui