Building an Interdisciplinary Team for Disaster Response Research: A Data-Driven Approach
Building an Interdisciplinary Team for Disaster Response Research: A Data-Driven Approach
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DOI：
10.1111/risa.13280
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发表时间：
2021-07-01
期刊：
影响因子：
3.8
通讯作者：
Wang, Haizhong
中科院分区：
文献类型：
--
作者：
Ge, Yue Gurt;Zobel, Christopher W.;Wang, Haizhong
建立跨学科团队对于灾害响应研究至关重要，因为它经常处理突发事件、短期决策、资源有限以及与快速展开的响应环境相关的不确定性。本文探讨了跨学科灾难响应研究的三种团队机制，包括临时和/或拨款提案驱动的团队、研究中心或基于研究所的团队，以及以匹配专业知识为导向的长期合作团队。它以飓风为响应背景，进一步检查了需要在收集、整合和分析方面进行跨学科协作的几种类型的关键数据。最后，文章建议采用数据驱动的方法来吸引多个学科，并主张建立具有长期目标和综合研究协议的跨学科团队进行灾害应对研究。
Building an interdisciplinary team is critical to disaster response research as it often deals with acute onset events, short decision horizons, constrained resources, and uncertainties related to rapidly unfolding response environments. This article examines three teaming mechanisms for interdisciplinary disaster response research, including ad hoc and/or grant proposal driven teams, research center or institute based teams, and teams oriented by matching expertise toward long-term collaborations. Using hurricanes as the response context, it further examines several types of critical data that require interdisciplinary collaboration on collection, integration, and analysis. Last, suggesting a data-driven approach to engaging multiple disciplines, the article advocates building interdisciplinary teams for disaster response research with a long-term goal and an integrated research protocol.