Accelerated analytics for local authority emergency response
Accelerated analytics for local authority emergency response
批准号:
55367
负责人:
金额:
$9.28万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --
中文摘要
《实践中的政策》帮助地方当局释放其现有行政数据的力量,以改善英国各地提供社会政策和福利支持的方式。理事会拥有150多万受保护居民、100万新的福利申领人以及数千名弱势儿童和成人,它们处于支持直接或间接受大流行病影响的人的第一线。他们有法定义务保护最脆弱的家庭,并认识到现有数据在帮助识别和支持受COVID-19影响的人方面的重要性和潜力。低收入家庭更有可能受到为控制这一流行病而采取的措施的影响。随着福利案件数量的迅速增加,行政数据委员会掌握的低收入居民(那些接受住房福利或普遍信贷的人)可以帮助委员会迅速向受影响最严重的人提供支持。这些数据已经成为地方一级设计和提供支持的重要组成部分,帮助地方政府向适当的人提供适当的支持。目前,从收到管理数据到我们能够提供有意义的见解之间存在时间差,这个过程需要长达六周的时间,并且每季度更新一次。由于2019冠状病毒病导致的情况变化如此之快,需要每月几乎实时地提供这些分析,以最大限度地发挥其影响、有效性和对理事会的效用。实时分析将帮助议会确定新的弱势群体和主要受影响群体,以更好地减轻这场危机的社会和经济成本。“创新英国”的资金将用于加快一种新的方法,与议会一起进行自动化工作,将获取洞察力的时间从六周缩短到两天,并将频率从季度更新到每月更新。在云端安全、自动化、可扩展的基础上处理管理数据,将使数据能够用于运营,为受COVID-19影响的人们提供支持。赠款资金将加快开发工作的步伐,引入外部专业知识,使至少50个参与委员会能够访问每月的实时分析。该项目的长期效益将是加速行政数据使用的转变,从今天的处理和资源规划,向英国和其他地方的个人提供主动和有针对性的支持,极大地提高了一系列社会政策领域成果的成本效益。扩展使六个客户端和两个新客户端能够克服内部治理延迟并访问平台。影响力赠款的延期将使我们能够支持对该项目表示有兴趣的另外19个客户(包括6个新客户)访问该平台,并与我们的三个客户探讨他们的请求,通过使用Universal Credit数据进一步开发该平台,实现从每月更新到每日更新的转变。
英文摘要
Policy in Practice helps local authorities to unlock the power of their existing administrative data to improve the way social policy and welfare support is delivered across the UK.With over 1.5 million shielded residents, one million new benefit claimants, and thousands of vulnerable children and adults, councils are at the frontline of supporting people impacted directly or indirectly by the pandemic. They have a statutory duty to protect their most vulnerable households and recognise the importance and potential of their existing data to help identify and support people impacted by COVID-19\.Low income households are disproportionately more likely to be affected by the measures put in place to control the pandemic. With benefit caseloads rising rapidly, the administrative data councils hold on low income residents (those in receipt of housing benefit or Universal Credit) can help councils target support quickly to those most heavily impacted.This data is already an essential part of the design and delivery of support at the local level, helping local governments target the right support to the right people. Currently, there is a time-lag between the receipt of administrative data and our ability to deliver meaningful insights, with the process taking up to six weeks and refreshed on a quarterly basis. With conditions changing so quickly due to COVID-19, these analytics need to be delivered monthly and in near real time to maximise their impact and effectiveness and utility for councils. Real-time analytics will help councils to identify newly vulnerable and key affected groups to better mitigate the social and economic costs of this crisis.Innovate UK funding will be used to accelerate a novel approach to ongoing automation efforts with councils, speeding up access to insight from six weeks to two days, and frequency from quarterly to monthly updates. Working with administrative data on a secure, automated scalable basis in the cloud will enable data to be used operationally to support people impacted by COVID-19\. Grant funding will accelerate development efforts at pace, bringing in external expertise to enable real-time monthly analytics to be accessed by a minimum of fifty participating councils.The long-term benefit of the project will be to accelerate a shift in the use of administrative data from processing and resource planning today, toward proactive and targeted support to individuals in the UK and elsewhere, greatly improving the cost-effective delivery of outcomes across a range of social policy areas.--- Additional Information Here ---An extension is enabling six clients and two new clients to overcome internal governance delays and access the platform. An extension for impact grant will allow us to support a further nineteen clients (including six new clients) that have expressed interest in the project to access the platform, and to explore with three of our clients their request to further develop the platform by working with Universal Credit data, enabling a shift from monthly to daily updates.
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