A national UK programme in AI and digital twins to address the biodiversity and climate crisis

英国国家人工智能和数字孪生计划，旨在解决生物多样性和气候危机

• 批准号: EP/Y028880/1
• 负责人: James Hosking
• 金额: $ 637.1万
• 依托单位: The Alan Turing Institute
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FY028880%2F1
• 关键词: national; UK; programme; AI; digital

The Alan Turing Institute (Turing), in collaboration with national labs, will lead a nationwide effort to develop and launch novel methods in AI and digital twinning technologies that improve the UK's effectiveness in addressing environment and sustainability (E&S) concerns. Turing has identified four long-term E&S missions: 1) automate biodiversity monitoring to enable nature recovery; 2) deliver localised environmental predictions to mitigate the impacts of climate change; 3) optimise infrastructure for sustainable use of natural resources; and 4) model interventions to achieve sustainable cities and regions for a net zero world. The proposed programme will bring together a diverse group of UK leaders and experts in AI, environment, sustainability and policy to refine these missions, develop an ambitious national 5-year roadmap and undertake transformative environmental research and innovation to avert climate and biodiversity catastrophe. Such complex challenges necessitate a blend of advanced analytical skills working in conjunction with environmental scientists across various sub-disciplines. Here, AI and data science act as the binding agent that unifies these diverse teams, and Turing serves as the central hub for UK-wide inclusive activities, leveraging its past ASG seeded research activities with partners. Specifically, this will involve collaboration with national laboratories to establish and augment our collective understanding, which will include: British Antarctic Survey (BAS), UK Centre for Ecology & Hydrology (UK CEH), Centre for Environment, Fisheries and Aquaculture Science (Cefas), National Oceanography Centre (NOC), UK Met Office, and Rothamsted Research. The work is separated into the following workstreams (WS):WS1: E&S Mission Scoping with UK research and practitioner communities- WS1.1: Deep stakeholder mapping and engagement to develop, refine and launch the E&S Missions.- WS1.2: Capacity-building to support E&S delivery - WS1.3: Nurturing a national community of research and best practiceWS2: Scaling-up game-changing environmental research from the Turing's AI for Science and Government programme- WS2.1: Intelligent fusion of sensor data bridging global and local scales- WS2.2: Digital Twins of Controlled Environment Agriculture- WS2.3: Automated shape analysis and tracking within imagery- WS2.4: Reproducible environmental pipelines for digital twins- WS2.5: Foster an open international environmental data science communityWS3: Establishing physics informed data-driven national capability in weather prediction

艾伦图灵研究所（图灵）将与国家实验室合作，领导全国范围内开发和推出人工智能和数字孪生技术的新方法，以提高英国解决环境和可持续发展（E&S）问题的效率。图灵确定了四项长期的环境与社会任务：1）自动化生物多样性监测以实现自然恢复； 2）提供本地化环境预测，以减轻气候变化的影响； 3）优化基础设施以可持续利用自然资源； 4) 建立干预模型，以实现可持续城市和地区的净零世界。拟议的计划将汇集人工智能、环境、可持续发展和政策领域的英国领导人和专家，以完善这些使命，制定雄心勃勃的国家五年路线图，并进行变革性环境研究和创新，以避免气候和生物多样性灾难。此类复杂的挑战需要与各个子学科的环境科学家合作，结合先进的分析技能。在这里，人工智能和数据科学充当了统一这些不同团队的粘合剂，而图灵则充当了英国范围内包容性活动的中心枢纽，利用其过去与合作伙伴进行的 ASG 种子研究活动。具体来说，这将涉及与国家实验室合作，以建立和增强我们的集体理解，其中包括：英国南极调查局（BAS）、英国生态与水文中心（UK CEH）、环境、渔业和水产养殖科学中心（Cefas） 、国家海洋学中心 (NOC)、英国气象局和洛桑研究中心。这项工作分为以下工作流 (WS)： WS1：与英国研究和从业者社区确定 E&S 任务范围 - WS1.1：深入利益相关者摸底和参与，以制定、完善和启动 E&S 任务。 - WS1.2：能力 -建设支持 E&S 交付 - WS1.3：培育国家研究和最佳实践社区 WS2：扩大图灵科学和政府人工智能计划的改变游戏规则的环境研究 - WS2.1：连接全球和局部尺度的传感器数据智能融合 - WS2.2：受控环境农业的数字孪生 - WS2.3：图像内的自动形状分析和跟踪 - WS2.4：数字孪生的可重复环境管道 - WS2 .5：培育开放的国际环境数据科学社区WS3：建立物理信息数据驱动的国家天气预报能力