A System for Resilience Learning: Developing a Community-Driven, Multi-Sector Research Approach for Greater Preparedness and Resilience to Long-Term Climate Stressors and Extreme Events in the Miami Metropolitan Region

T. Troxler, A. Clement, Yoca Arditi-Rocha, Gretchen Beesing, M. Bhat, J. Bolson, Carissa Cabán-Alemán, Karina Castillo, Olivia Collins, Mayra Cruz, Alan Dodd, S. Evans, Abigail L. Fleming, C. Genatios, Jane Gilbert, Alyssa M. Hernandez, Cheryl L. Holder, Maria Ilcheva, Elizabeth Kelly, Arturo León, Joanna L. Lombard, K. Mach, D. Moanga, J. Murley, A. Knowles, J. Obeysekera, Loren Parra, Jennifer Posner, A. Sarwat, Rachel N. Silverstein, J. A. Stuart, M. Sukop, S. Wdowinski, E. Wheaton
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引用次数: 1

Abstract

There is a growing need for integrated approaches that align community priorities with strategies that build resilience to climate hazards, societal shocks, and economic crises to ensure more equitable and sustainable outcomes. We anticipate that adaptive management and resilience learning are central elements for these approaches. In this paper, we describe an approach to build and test a Resilience Learning System to support research and implementation of a resilience strategy developed for the Greater Miami and the Beaches or the Resilient305 Strategy. Elements foundational to the design of this integrated research strategy and replicable Resilience Learning System are: (1) strong partnerships among community members, government and non-government organization leaders, and researchers from multiple academic institutions; (2) contributions of subject matter expertise and local knowledge to identify information and translational gaps, formulate metrics and evaluate outcomes of Resilient305 Strategy actions from the community perspective; and (3) a comprehensive understanding of civic engagement activities, technological tools, and resilience-building capacities, including policy and financial innovations, from which to advance socio-technological, smart and connected regional-to-hyperlocal community translation through co-design/co-production. Initial results on co-produced metrics are provided. This work produces a new, replicable framework for resilience research that includes a comprehensive set of metrics, translation to communities through structured dialogues, a collaborative process involving all stakeholders and researchers, and evaluation of resilience actions to inform new investments and improve understanding and effectiveness over time.
韧性学习系统:开发一种社区驱动的多部门研究方法,以增强迈阿密大都会地区对长期气候压力和极端事件的准备和韧性
人们越来越需要综合方法,将社区优先事项与建立应对气候危害、社会冲击和经济危机的能力的战略相结合,以确保取得更公平和可持续的结果。我们预计,适应性管理和恢复力学习是这些方法的核心要素。在本文中,我们描述了一种建立和测试韧性学习系统的方法,以支持为大迈阿密和海滩制定的韧性战略或韧性305战略的研究和实施。设计这一综合研究战略和可复制的弹性学习系统的基础要素是:(1)社区成员、政府和非政府组织领导人以及多个学术机构的研究人员之间的牢固伙伴关系;(2) 主题专业知识和当地知识的贡献,以确定信息和转化差距,制定衡量标准,并从社区角度评估韧性305战略行动的结果;以及(3)全面了解公民参与活动、技术工具和复原力建设能力,包括政策和金融创新,通过共同设计/共同制作,推动社会技术、智能和互联的区域到超地方社区的翻译。提供了联合制定的指标的初步结果。这项工作产生了一个新的、可复制的复原力研究框架,其中包括一套全面的指标,通过结构化对话向社区转化,一个涉及所有利益相关者和研究人员的合作过程,以及评估复原力行动,为新的投资提供信息,并随着时间的推移提高理解和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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