Enhancing the use of ResilienceDirect in the Covid-19 response: a comparative analysis of Local Resilience Forums

加强 ResilienceDirect 在 Covid-19 应对中的使用：本地复原力论坛的比较分析

• 批准号: ES/V010182/1
• 负责人: Daniel Sage
• 金额: $ 13.99万
• 依托单位: Loughborough University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FV010182%2F1
• 关键词: Enhancing; use; ResilienceDirect; Covid; 19

The project will explore and enhance how the ResilienceDirect (RD) digital collaboration platform is used by multi-agency Local Resilience Forums (LRFs) to remotely plan and respond to the COVID-19 pandemic. LRFs are an integral component of the COVID-19 response as they enable multiple local (e.g. police, NHS, local authorities) and national agencies (e.g. Public Health England, Environment Agency) to work with central government departments to develop shared situational awareness, joint decision-making and collaborative forms of learning and knowledge sharing. They provide a vital function to enable an integrated emergency response as multi-agency co-ordination failures have often weakened previous emergency responses. During the COVID-19 response, the requirement for remote working means this collaboration is to a greater extent occurring digitally within the RD digital platform, produced by the Cabinet Office. Given the scale and complexity of COVID-19 response, the challenge of multi-agency working, and the shift toward digital collaboration, it is vital that LRFs fully understand how to overcome significant potential barriers in how multiple agencies can work together within and between LRFs. The project will explore two key barriers within and between LRFs. First, within LRFs, although RD can enable rapid information sharing and decision-making, if RD does not align with the interests of multiple LRF user agencies it can generate barriers to their collaboration. The project will examine how RD enhances or undermines collaboration between LRF agencies by exploring the interaction between the various human and technological actors that deliver digital collaboration. Second, between LRFs, it is well known that different LRFs organise their responses on RD differently but no evidences exists as to why these differences exist or their outcomes. Further, these differences generate significant opportunities for learning in the dynamics of digital collaboration yet that learning remains tacit and not shared. This project will render this learning accessible between LRFs by comparing and explaining the differences and similarities between how LRFs use RD to enable collaboration. This analysis will then inform 'best practice' proposals in digital collaboration which will be shared and refined with LRF users through the 'Learning and Development' section of RD. By exploring digital collaboration during the COVID-19 response, the research will produce the first independent evidence base for LRF practitioners, national policymakers, and scholars, to understand how RD is being used to facilitate LRF collaboration. This research will provide timely, cyclical feedback on the effective use of RD to support multi-agency collaboration. This project is designed to deliver immediate impact to improve the strength of the UK's integrated response to COVID-19 as well as critical insights into the role of digital technology in facilitating emergency collaborations that will benefit future responses.

该项目将探索和加强多机构地方复原力论坛（LRF）如何使用ResilienceDirect（RD）数字协作平台来远程规划和应对COVID-19大流行。LRF是COVID-19应对的一个组成部分，因为它们使多个地方（例如警察，NHS，地方当局）和国家机构（例如英格兰公共卫生局，环境局）能够与中央政府部门合作，以开发共享的态势感知，联合决策以及协作形式的学习和知识共享。由于多机构协调的失败往往削弱了以前的应急行动，因此，它们提供了一个重要的功能，使人们能够作出综合应急反应。在应对COVID-19期间，远程工作的要求意味着这种合作在更大程度上是在内阁办公室制作的研发数字平台内以数字方式进行的。鉴于COVID-19应对的规模和复杂性，多机构合作的挑战以及向数字合作的转变，LRF充分了解如何克服多个机构如何在LRF内部和之间合作的重大潜在障碍至关重要。该项目将探讨LRF内部和之间的两个关键障碍。首先，在LRF内部，虽然RD可以实现快速的信息共享和决策，但如果RD不符合多个LRF用户机构的利益，它可能会对它们的合作产生障碍。该项目将研究研发如何通过探索提供数字协作的各种人员和技术参与者之间的互动来增强或破坏LRF机构之间的协作。第二，在LRF之间，众所周知，不同的LRF组织他们对RD的反应不同，但没有证据表明为什么存在这些差异或其结果。此外，这些差异在数字协作的动态中为学习创造了重要的机会，但这种学习仍然是隐性的，没有共享。该项目将通过比较和解释LRF如何使用RD来实现协作之间的差异和相似性，使LRF之间的学习变得容易。然后，该分析将为数字合作中的“最佳实践”建议提供信息，这些建议将通过RD的“学习和发展”部分与LRF用户共享和改进。通过探索COVID-19应对期间的数字合作，该研究将为LRF从业者，国家政策制定者和学者提供第一个独立的证据基础，以了解RD如何被用于促进LRF合作。这项研究将提供关于有效利用研发支持多机构合作的及时、周期性反馈。该项目旨在提供即时影响，以提高英国对COVID-19的综合应对能力，并对数字技术在促进应急合作方面的作用提出重要见解，这将有利于未来的应对。

项目成果

Communications in crisis: the politics of information-sharing in the UK’s Covid-19 response

危机中的通信：英国应对 Covid-19 中的信息共享政治

• 发表时间: 2021
• 期刊: Critical Studies on Security
• 影响因子: 1.6
• 作者: D. Sage;Chris R. Zebrowski;Nina Jorden
• 通讯作者: Nina Jorden

Rethinking trust within emergency collaboration: The significance of negative affects

重新思考紧急协作中的信任：负面影响的重要性

• DOI: 10.1111/1468-5973.12504
• 发表时间: 2023
• 期刊: Journal of Contingencies and Crisis Management
• 影响因子: 3.1
• 作者: Sage D

ResilienceDirect during Covid-19: understanding and enhancing digital collaboration

Covid-19 期间的 ResilienceDirect：理解和加强数字协作

• 发表时间: 2022
• 作者: Sage, D.