课题基金 / 基金详情

Applying Data Science, AI/ML To Improve Social Outcomes in NHS (and wider) Procurement

Applying Data Science, AI/ML To Improve Social Outcomes in NHS (and wider) Procurement
应用数据科学、人工智能/机器学习来改善 NHS(及更广泛的)采购中的社会成果
批准号:
10032917
负责人:
金额:
$40.71万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --

项目摘要

项目成果

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中文摘要
翻译
2020年,政府制定了采购将如何通过[绿皮书][0]以及以[社会价值][1]评估为重点的采购政策和大型合同的[净零][1]计划来改变欧盟退出后的采购。这些政策转变的结合正在推动政府和私营部门合作方式的全面变革。NHS面临的具体挑战是,数字经验不足以跟踪采购的社会/气候结果,这在政府和行业的其他部门都得到了回应。对影响和结果进行端到端跟踪的能力有限,目前基于社会/气候的结果的测量是在事件发生后单独进行的。[Cimple][3]正在与[NHS SBS][4]和[行为洞察小组][5]合作,结合“健康家庭与系统”的情况、Cimple开发的数字界面和BIT的数据/行为科学专业知识,对这一挑战进行端到端的研究。该项目的范围是利用包括数据科学、行为科学和人工智能/机器学习应用在内的数字技术,通过政府采购改善社会成果。该项目将:*使用采购和财务数据来确定与政策相一致的社会/气候措施,并进行跟踪。*在现有的simple平台中发展行为推动和功能,以改善采购对社会/气候的影响。*连接未来的支出数据,以衡量和报告改善情况,并确定制定政策改进措施。Smart Grant提交的文件是工业研究和实验开发的结合。工业研究的结果是了解数据、数据差距、评估社会和气候影响的技术,以及需要开发的行为推动,以改善端到端的买家行为。实验开发的结果将是将功能部署到simple平台中,以改变买方/供应商的行为,并在合同授予后跟踪社会和气候结果。这将在整个健康家庭和系统的NHS SBS客户中进行测试。正反馈循环将有助于衡量政策的效力,并为政策改进提供信息。创新的具体成果是:评估整个供应链的社会价值结果,以实现真正的端到端跟踪。*将简单的买家推向更高社会价值的供应商,确保信息转化为行动。*如[国家数据战略]b[6]所倡导的那样,建立实时开放数据流,以实现正反馈循环和政府政策优化。[0] https://www.gov.uk/government/consultations/green-paper-transforming-public-procurement [1]: https://www.gov.uk/government/publications/procurement -政策-注- 0620 -考虑- - - - - - - -社会-价值- - -奖励- -中央政府合同[2]:https://www.gov.uk/government/publications/procurement -政策-注- 0621 -考虑- - - - - - - -碳-减少-计划- - -采购-大-政府-合同[3]:https://cimple.uk/ [4]: https://www.sbs.nhs.uk/ [5]: https://www.bi.team/ [6]:https://www.gov.uk/guidance/national-data-strategy
英文摘要
In 2020 the Government set out how procurement would transform post-EU exit through a [Greenpaper][0] as well as procurement policies focussed on [Social Value][1] assessments and [Net Zero][2] plans for large contracts.The combination of these policy shifts is driving wholesale change in how Government and the Private Sector work together. The specific challenge within the NHS, echoed across the rest of Government and industry alike, is digital experiences are not sufficient to enable tracking of social/climate outcomes from procurement. There is limited ability to track impacts and outcomes end-to-end with measurement on social/climate based outcomes currently being done separately after the event.[Cimple][3] is teaming up with [NHS SBS][4] and [Behavioural Insights Team][5] to research the challenge end-to-end combining the situation within the _Health Family & System_, the digital interface developed by Cimple and the data/behavioural science expertise of BIT.The **scope of the project** is to use digital techniques including data science, behavioural science and applications of AI/Machine Learning to improve societal outcomes delivered through Government Procurement. The project will:* Use procurement and finance data to define social/climate measures, aligned to policy, to be tracked.* Develop behavioural nudges and features into the existing Cimple platform to improve social/climate impacts from procurement.* Connect future spend data back in to measure and report on the improvements as well as define develop policy improvements.The Smart Grant submission is a **mixture of industrial research and experimental development.**The **outcome of the industrial research** is to understand the data, data gaps, the techniques to assess social and climate impacts and the behavioural nudges to be developed to improve buyer behaviour end-to-end.The **outcome of the experimental development** will then be to deploy features into the Cimple platform to change buyer/supplier behaviour and to enable tracking of social and climate outcomes post contract award. This will be tested with NHS SBS customers across Health Family & System. Positive feedback loops will help to measure the efficacy of policy and inform policy improvements.The specific **outcomes from the innovation** are the ability to:* Assess social value outcomes throughout the supply chain for true end-to-end tracking.* Nudge Cimple buyers towards higher social value suppliers, ensuring information translates into action.* Build live open data streams, as advocated by the [National Data Strategy][6], to enable positive feedback loops and optimisation of government policy.[0]: https://www.gov.uk/government/consultations/green-paper-transforming-public-procurement[1]: https://www.gov.uk/government/publications/procurement-policy-note-0620-taking-account-of-social-value-in-the-award-of-central-government-contracts[2]: https://www.gov.uk/government/publications/procurement-policy-note-0621-taking-account-of-carbon-reduction-plans-in-the-procurement-of-major-government-contracts[3]: https://cimple.uk/[4]: https://www.sbs.nhs.uk/[5]: https://www.bi.team/[6]: https://www.gov.uk/guidance/national-data-strategy
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会议论文
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: