Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Each fellowship will last up to 18 months to cover: a 3-month inception phase for set up activity a 12-month placement with the host organisation an impact phase lasting up to 3 months Fellows will co-design projects and activities with their host and produce analysis to inform government decision-making across a range of policy priorities. Fellows will also engage across the host organisation, building effective working relationships and supporting wider knowledge exchange with researchers. This will be supported through their embedded role within the host organisation, including line management support.

The Alan Turing Institute, as the UK's national institute for data science and artificial intelligence, plays an important part in driving forward advances in these technologies in order to change the world for the better. The Institute is named in honour of Alan Turing, whose pioneering work in theoretical and applied mathematics, engineering and computing is considered to have laid the foundations for modern-day data science and artificial intelligence. The Institute's goals are to undertake world-class research, apply its research to real-world problems, driving economic impact and societal good, lead the training of a new generation of scientists, and shape the public conversation around data and algorithms. After launching in 2015 with government funding from EPSRC and five founding universities, the Institute has grown an extensive network of university partners from across the UK and launched a number of major partnerships with industry, public and third sector. Today it is home to more than 500 researchers, a rapidly growing team of in house research software engineers and data scientists and a business team. Following its initial phase of funding, EPSRC provided a short-term commitment to ensure the continuity of core activity in the current model. Since then, EPSRC has been working with the Institute, and across UKRI, to develop the Institute's role at the centre of a potential UKRI National AI Programme. As part of the transition into this role, EPSRC are providing additional funding in 2023/24 to allow the Institute to build the foundations of Turing 2.0 and invest in activities that support the evolution of the Turing to a more open, national Institute in data science and AI.

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 practice WS2: 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 community WS3: Establishing physics informed data-driven national capability in weather prediction

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.