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

该项目将探索和加强多机构地方韧性论坛（lrf）如何利用Resilience direct数字协作平台远程规划和应对COVID-19大流行。lrf是COVID-19应对工作的一个组成部分，因为它们使多个地方（如警察、NHS、地方当局）和国家机构（如英格兰公共卫生部、环境署）能够与中央政府部门合作，开发共享的态势感知、联合决策和协作形式的学习和知识共享。由于多机构协调失败往往削弱了以前的应急反应，因此它们提供了一项至关重要的功能，以实现综合应急反应。在应对COVID-19期间，远程工作的需求意味着这种协作在更大程度上是在内阁办公室生产的研发数字平台内以数字方式进行的。鉴于COVID-19应对工作的规模和复杂性、多机构工作的挑战以及向数字协作的转变，lrf必须充分了解如何克服多个机构如何在lrf内部和之间协同工作的重大潜在障碍。该项目将探讨轻轨轨道内部和之间的两个关键障碍。首先，在LRF内部，尽管研发可以实现快速的信息共享和决策，但如果研发与多个LRF用户机构的利益不一致，它可能会对它们的合作产生障碍。该项目将通过探索提供数字协作的各种人员和技术参与者之间的相互作用，研究研发如何增强或破坏LRF机构之间的合作。其次，在lrf之间，众所周知，不同的lrf组织对RD的反应是不同的，但没有证据表明为什么存在这些差异或它们的结果。此外，这些差异在数字协作的动态中产生了重要的学习机会，但学习仍然是隐性的，而不是共享的。本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之处，使lrf之间可以访问这种学习。然后，该分析将为数字协作中的“最佳实践”建议提供信息，这些建议将通过研发的“学习与发展”部分与LRF用户共享和完善。通过探索COVID-19应对期间的数字协作，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，以了解如何利用研发促进LRF协作。这项研究将为有效利用研发以支持多机构合作提供及时、周期性的反馈。该项目旨在产生立竿见影的影响，以提高英国对COVID-19的综合应对能力，并深入了解数字技术在促进紧急合作方面的作用，这将有利于未来的应对工作。

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.