Funding opportunity

Funding opportunity: Transformative sustainable AI technologies

Apply for funding for projects focused on speculative and high-risk research with the potential to deliver high rewards and a step change in the sustainability of future AI systems.

Projects should consider technological innovations across the AI stack.

You must be:

  • based at a UK research organisation eligible for UK Research and Innovation (UKRI) funding
  • in a role that meets the individual eligibility requirements

The full economic cost (FEC) of your project can be up to £602,500. UKRI will fund 80% of the FEC.

Projects must start on 1 February 2027 and last for up to 24 months.

Who can apply

This opportunity is open to organisations with standard eligibility. Check if your organisation is eligible.

UKRI individual eligibility rules apply. For full details, visit UKRI’s eligibility page.

Who is eligible to apply

This funding opportunity is open to research groups and individuals.

For this funding opportunity we welcome applications led by research technical professionals (RTPs), including research software engineers, involved in the delivery of digital research infrastructure who meet the eligibility criteria. Digital RTPs may apply as either project lead or project co-lead.

The inclusion of researcher co-leads is encouraged where they have made a substantial intellectual contribution to the development of the application and will be engaged with the ensuing research.

Given the short-term nature of the grant and fixed start date, the project lead (PL) may choose to contribute a greater proportion of their time to the project than is standard. This should be justified and proportional to the activities set out in the proposal.

You may be involved in no more than two applications submitted to this funding opportunity. Only one of these can be as project lead.

International researchers

International researchers can only apply as ‘project co-lead (international)’ as part of an application making use of the UKRI-RCN Money Follows Cooperation agreement or the UKRI-IIASA agreement.

You should include all other international collaborators (or UK partners not based at approved organisations) as project partners.

Resubmissions

We will not accept uninvited resubmissions of projects that have been submitted to UKRI or any other funder.

Find out more about EPSRC’s resubmissions policy.

Equality, diversity and inclusion

We are committed to achieving equality of opportunity for all funding applicants. We encourage applications from a diverse range of researchers.

We support people to work in a way that suits their personal circumstances. This includes:

  • career breaks
  • support for people with caring responsibilities
  • flexible working
  • alternative working patterns

UKRI can offer disability and accessibility support for UKRI applicants and grant holders during the application and assessment process.

What we're looking for

Demand management

Demand management is not currently being applied to this funding opportunity. However, should the level of interest exceed what can be managed within the assessment process, UKRI may introduce limits on the number of applications that can be submitted. Further details will be clearly communicated where this is the case. UKRI encourages organisations to support applicants in preparing well-planned, high-quality applications that are competitive for funding relative to the funding opportunity.

Aim

This funding opportunity is delivered under the flagship UKRI IS8 AI Programme. Funding for this opportunity is subject to full business case approval. It is hoped to be the first in a broader programme of activities designed to ensure the UK is at the forefront of ensuring future AI systems are sustainable by design. The opportunity utilises the same approach as the parallel Next Generation AI pilot focusing support on speculative and high-risk research with the potential to deliver high reward.

Artificial intelligence is transforming research, industry and public services at an unprecedented pace. Yet the rapid growth in the computational requirements of AI is increasing energy demand, resource consumption and environmental impacts. There is an urgent need to develop sustainable AI systems that minimise these costs while maintaining performance and societal benefit.

Inherently more sustainable hardware, algorithms, software and system design, could all be examples of routes to improved efficiency. Such advances in sustainable AI could strengthen national resilience, reduce costs and unlock new economic opportunities for the UK.

We are investing up to £10 million over two years into speculative and high-risk research projects with the potential to deliver a step change in the sustainability of future AI systems. We will fund research that fundamentally improves the efficiency, robustness, reliability and long-term maintainability of AI systems, ensuring future AI is sustainable by design with reduced environmental impacts.

This opportunity aims to:

  • support potentially transformative, highly novel technologies and tools with the potential to deliver a step change in the sustainability of future AI systems
  • develop the foundations of sustainable technologies for the future societal, economic and technological benefits, including new market opportunities for the UK
  • strengthen the UK’s capability to design and deploy bold, ambitious sustainable AI technologies, ensuring AI contributes positively to both economic growth and environmental sustainability
  • enable small-scale, rapid projects that generate foundational insights which can be built on in the future
  • deliver a faster process compared to current standard funding routes, whilst maintaining robust decision making that is proportionate to the level of risk

Projects should:

  • aim to disrupt existing areas of sustainable AI research or create new ones
  • deliver research with the potential to lead to radically new and disruptive technologies and a step change in the sustainability of future AI systems
  • adopt a risk tolerant approach utilising ways of working that encourage and enable transformative outcomes rather than incremental advances
  • support an ambitious and capable project team with appropriate breadth and depth of expertise required to achieve the research objectives

Projects are not expected to:

  • produce tangible outcomes (for example, new AI models or spinouts) within two years
  • succeed in all their research goals, especially the most risky and ambitious
  • avoid failure. Approaches that do not work as intended can still generate important learning and valuable knowledge for the wider research community

We encourage you to be as adventurous as possible in your thinking. We will support creative and potentially unconventional ways of working. We encourage the makeup of applicant teams to represent team science as this will lead to a diversity of research excellence, creativity and approaches from across the landscape to enable more transformative outcomes.

This opportunity is intended to stimulate creativity within the research community and give researchers time and space to test out speculative ideas. Applicants are advised to strongly consider whether their research idea is truly speculative, high-risk and could potentially offer high reward before applying.

Interdisciplinary and multidisciplinary approaches are welcome. However, we aim to support research that will have a demonstrable impact on AI technology and build the UK’s capacity to design and deploy sustainable AI technologies. We will not fund applications that consist of majority non-technical research such as purely social science, environmental, legal, policy or ethical studies.

We will not support incremental work lacking ambition to push the boundaries of sustainable AI, nor the continuation of existing projects. Projects should not focus on benchmarking against existing tools and techniques or seek to replicate what exists within industry. We expect applicants to explain why their proposed research cannot be supported via other funding routes, for example, applicant-led responsive mode.

Scope

Sustainable AI is the design, development, deployment and governance of AI systems in ways that maximise long-term economic and societal value while minimising environmental harm, ensuring ethical and inclusive outcomes, and aligning with national strategic priorities such as productivity growth, net zero commitments and responsible innovation. In short, sustainable AI is the practice of developing and using AI to achieve positive environmental, social and governance outcomes while mitigating harm.

Sustainable AI goes beyond improving energy efficiency of systems or minimising the consumption of natural or critical resources, instead it addresses a variety of factors including:

  • environmental impact: minimising carbon footprints, water usage and critical material consumption of AI systems and data centres
  • social and ethical impact: ensuring AI systems are developed and deployed responsibly and do not negatively impact quality of life or affected communities
  • economic impact: fostering sustainable economic models for societies, rather than exploiting labour or resources in the production and development of systems

This funding opportunity will focus exclusively on the development of novel AI technologies, computational approaches, methods, tools, architectures and techniques that could significantly improve the sustainability of future AI systems.

While sustainability challenges may span each of the stated impacts, applications must be technology-led and demonstrate a clear pathway to advancing the underlying AI value chain.

Applicants are encouraged to pursue ambitious, high-risk, high-reward research that challenges current approaches and has potential to establish new paradigms of sustainable AI.

Projects should be driven by novelty aiming to create the next generation of technology, tools or techniques that are sustainable by design. Examples of topics may include, but are not limited to:

  • creation of novel, energy efficient algorithms, architecture, systems or software
  • creation of smaller task specific models that benefit the performance of AI systems
  • AI systems optimised for resource-constrained environments
  • novel hardware and software co-design
  • utilising emerging technologies or approaches to develop efficient processors
  • hardware that is repairable, easier to disassemble for critical materials recovery or to update the system

The primary focus of the projects should be the development and demonstration of the proposed technology, rather than solely assessing or benchmarking its sustainability performance.

Team expectations

We expect teams to reflect the required skills and expertise to achieve the proposed plan. Successful applicants are expected to actively engage with planned kick-off events, workshops and networking activities that will build a cohort of Sustainable AI experts from this opportunity and other investments.

In line with our equality, diversity and inclusion principles, joint leadership of projects will be allowed, but applicants must agree an administrative project lead (PL) responsible for submitting the grant application. Any proposed job-sharing arrangements should be detailed and justified as part of the ‘Applicant and team capability to deliver’ section of the application and will form part of the assessment criteria.

Teams must indicate at least two members who will participate in the distributed peer review process, this should include the PL. As such, applicants can only be involved in two projects, which will help to reduce reviewer load, minimise conflicts and to ensure truly speculative ideas are submitted. See ‘How we will assess your application’ for further information.

UKRI and Royal Academy of Engineering

The Royal Academy of Engineering (RAEng) published Engineering Responsible AI: foundations for environmentally sustainable AI in February 2025. The report proposes five foundational steps to enable the development of environmentally sustainable AI systems and establish the UK as a global leader in AI sustainability.

UKRI will continue to work with the RAEng, as we develop the sustainable AI portfolio to address the priorities set out in the AI Research and Innovation Strategic Framework. We will also provide recipients of UKRI sustainable AI investments with structured opportunities for knowledge exchange and network building. The RAEng must not be approached to be a project partner or for a letter of support as you develop your application.

This funding opportunity focuses on the following components of the AI value chain as described in the RAEng report:

  • AI compute
  • IT infrastructure
  • algorithms and data

Applicants are expected to consider the evidence and recommendations provided in the report as they develop their applications and drive the next generation of sustainable AI technologies, tools and techniques.

Stakeholder collaboration

The driver of this funding opportunity is to create the next generation of sustainable AI developments that are novel and disruptive to approaches within research and industry. To deliver this, applicants should develop applications that are ambitious, speculative and do not replicate or iterate what exists currently in the AI or computer science landscape.

UKRI supports a range of investments that have relevance to this opportunity, which applicants can use to assess the opportunities within the existing landscape or to build collaborations where relevant to the goals of the proposed project. These investments cover the breadth of sustainability research and is not exhaustive:

Duration

The maximum duration of this award is 24 months.

Projects must start on 1 February 2027.

Funding available

The full economic cost (FEC) of your project can be up to £602,500.

UKRI will fund 80% of the FEC. Due to the nature of this funding, no-cost extensions arising due to non-people related reasons will not be allowed.

This is a maximum amount not a target. UKRI welcomes smaller applications as well as larger ones. All costs must be fully justified and proportionate to the ambition of the project.

What we will fund

We will fund the following:

  • contribution to the salary of the project lead and co-leads
  • research, technical and project management staff
  • research consumables including compute costs
  • travel and subsistence, including that related to cohort management activities such as the annual workshop and networking
  • data preservation, data sharing and dissemination
  • estates and indirect costs

What we will not fund

We will not fund:

  • PhD studentship costs
  • equipment with a value over £25,000 per item (including VAT). Smaller items of equipment (individually under £25,000) should be in the ‘Directly incurred – other costs’ heading

See more information about EPSRC’s approach to equipment funding.

EPSRC standard guidance on intellectual property applies to projects supported by this funding opportunity.

Successful projects from this opportunity which show promise can seek further funding afterwards through the current routes, for example, standard mode proposals or fellowships.

Supporting skills and talent

We encourage you to follow the principles of the Concordat to Support the Career Development of Researchers and the Technician Commitment.

Trusted Research and Innovation (TR&I)

UKRI is committed in ensuring that effective international collaboration in research and innovation takes place with integrity and within strong ethical frameworks. Trusted Research and Innovation (TR&I) is a UKRI work programme designed to help protect all those working in our thriving and collaborative international sector by enabling partnerships to be as open as possible, and as secure as necessary. Our TR&I Principles set out UKRI’s expectations of organisations funded by UKRI in relation to due diligence for international collaboration.

As such, applicants for UKRI funding may be asked to demonstrate how their proposed projects will comply with our approach and expectation towards TR&I, identifying potential risks and the relevant controls you will put in place to help proportionately reduce these risks.

See further guidance and information about TR&I, including where applicants can find additional support.

How to apply

We are running this funding opportunity on the new UK Research and Innovation (UKRI) Funding Service, so please ensure that your organisation is registered. You cannot apply on the Joint Electronic Submissions (Je-S) system.

The project lead is responsible for completing the application process on the Funding Service, but we expect all team members and project partners to contribute to the application.

Only the lead research organisation can submit an application to UKRI.

To apply

Select ‘Start application’ near the beginning of this Funding finder page.

  1. Confirm you are the project lead.
  2. Sign in or create a Funding Service account. To create an account, select your organisation, verify your email address, and set a password.
  3. Answer questions directly in the text boxes. You can save your answers and come back to complete them or work offline and return to copy and paste your answers. If we need you to upload a document, follow the upload instructions in the Funding Service. All questions and assessment criteria are listed in the How to apply section on this Funding finder page.
  4. Allow enough time to check your application in ‘read-only’ view before sending to your research office.
  5. Send the completed application to your research office for checking. They will return it to you if it needs editing.
  6. Your research office will submit the completed and checked application to UKRI.

Please be aware that research office and finance teams undertake checks on hosting arrangements and financial eligibility. The ultimate responsibility for ensuring compliance with all opportunity requirements lies with the applicant.

Where indicated, you can also demonstrate elements of your responses in visual form if relevant.

When including images, you must:

  • provide a descriptive caption or legend for each image immediately underneath it in the text box (this must be outside the image and counts towards your word limit)
  • insert each new image onto a new line
  • use files smaller than 5MB and in JPEG, JPG, JPE, JFI, JIF, JFIF, PNG, GIF, BMP or WEBP format

Images should only be used to convey important visual information that cannot easily be put into words. The following are not permitted, and your application will be rejected if you include:

  • sentences or paragraphs of text
  • tables
  • excessive quantities of images

A few words are permitted where the image would lack clarity without the contextual words, such as a diagram, where text labels are required for an axis or graph column.

For more guidance on the Funding Service, see:

References

References should be included within the word count of the appropriate question section. You should use your discretion when including references and prioritise those most pertinent to the application.

Hyperlinks can be used in reference information. When including references, you should consider how your references will be viewed and used by the assessors, ensuring that:

  • references are easily identifiable by the assessors
  • references are formatted as appropriate to your research
  • persistent identifiers are used where possible

General use of hyperlinks

Applications should be self-contained. You should only use hyperlinks to link directly to reference information. You must not include links to web resources to extend your application. Assessors are not required to access links to conduct assessment or recommend a funding decision.

Generative artificial intelligence (AI)

Use of generative AI tools to prepare funding applications is permitted, however, caution should be applied.

For more information see our policy on the use of generative AI in application and assessment.

Deadline

UKRI must receive your application by 10 November 2026 at 4:00pm UK time.

You will not be able to apply after this time.

Make sure you are aware of and follow any internal institutional deadlines.

Following the submission of your application to this funding opportunity, your application cannot be changed, and submitted applications will not be amended. If your application does not follow the guidance, it may be rejected.

If an application is withdrawn prior to peer review or office rejected due to substantive errors in the application, it cannot be resubmitted to the opportunity.

Personal data

Processing personal data

Engineering and Physical Sciences Research Council (EPSRC), as part of UKRI, will need to collect some personal information to manage your Funding Service account and the registration of your funding applications.

We will handle personal data in line with UK data protection legislation and manage it securely. For more information, including how to exercise your rights, read our privacy notice.

Sensitive information

If you or a core team member need to tell us something you wish to remain confidential, email ai.robotics@epsrc.ukri.org

Include in the subject line: [the funding opportunity title; sensitive information; your Funding Service application number].

Typical examples of confidential information include:

  • individual is unavailable until a certain date (for example due to parental leave)
  • declaration of interest
  • additional information about eligibility to apply that would not be appropriately shared in the ‘Applicant and team capability’ section
  • conflict of interest for UKRI to consider in reviewer or panel participant selection
  • the application is an invited resubmission

For information about how UKRI handles personal data, read UKRI’s privacy notice.

Institutional matched funding

There is no requirement for matched funding from the institutions hosting the project lead, project co-leads or other staff employed on the application, beyond the standard 20% FEC. Expert reviewers and panels assessing UKRI funding applications must not consider levels of institutional matched funding as a factor on which to base recommendations. Direct and in-kind contributions from third party project partners are encouraged.

This policy does not remove the need for support from host organisations who must provide the necessary research environment and infrastructure for award-specific activities funded by UKRI. For example, research facilities, training and development of staff.

Publication of outcomes

EPSRC, as part of UKRI, will publish the outcomes of this funding opportunity at EPSRC Funding Applications Outcomes.

If your application is successful, we will publish some personal information on the UKRI Gateway to Research.

Summary

Word limit: 550

In plain English, provide a summary we can use to identify the most suitable experts to assess your application.

We usually make this summary publicly available on external-facing websites, therefore do not include any confidential or sensitive information. Make it suitable for a variety of readers, for example:

  • opinion-formers
  • policymakers
  • the public
  • the wider research community

Guidance for writing a summary

Clearly describe your proposed work in terms of:

  • context
  • the challenge the project addresses
  • aims and objectives
  • potential applications and benefits

Core team

List the key members of your team and assign them roles from the following:

  • project lead (PL)
  • project co-lead (UK) (PcL)
  • project co-lead (international) (PcL (I))
  • specialist
  • professional enabling staff
  • research and innovation associate
  • technician
  • visiting researcher
  • researcher co-lead (RcL)

Only list one individual as PL. Joint leads may be named under ‘Applicant team and capability to deliver’.

UKRI has introduced a new addition to the ‘Specialist’ role type. Public contributors such as people with lived experience can now be added to an application.

Find out more about UKRI’s core team roles in funding applications.

Application questions

Vision and Approach

Create a document that includes your responses to all criteria. The document should not be more than three sides of A4, single spaced in paper in 11-point Arial (or equivalent sans serif font) with margins of at least 2cm. You may include images, graphs, tables. You can have an additional page for a diagrammatic workplan.

For the file name, use the unique Funding Service number the system gives you when you create an application, followed by the words ‘Vision and Approach’.

Save this document as a single PDF file, no bigger than 8MB. Unless specifically requested, please do not include any sensitive personal data within the attachment.

If the attachment does not meet these requirements, the application will be rejected.

The Funding Service will provide document upload details when you apply.

What are you hoping to achieve with and how will you deliver your proposed work?

What the assessors are looking for in your response

For the Vision, explain how your proposed work:

  • is of excellent quality and importance within or beyond the field(s) or area(s)
  • has the potential to advance current understanding, generates new knowledge, thinking or discovery within or beyond the field or area
  • is timely given current trends, context and needs
  • impacts world-leading research, society, the economy or the environment

As this is a high-risk, high-reward opportunity, we will not be penalising risky ideas that can build a pipeline for impact.

Within this section we also expect you to:

  • describe how the proposed work will accelerate the development of sustainable AI

For the Approach, explain how you have designed your work so that it:

  • is effective and appropriate to achieve your objectives
  • is feasible, and comprehensively identifies any risks to delivery and how they will be managed
  • if applicable, uses a clear and transparent methodology
  • if applicable, summarises the previous work and describes how this will be built upon and progressed
  • will maximise translation of outputs into outcomes and impacts
  • describes how your, and if applicable your team’s, research environment (in terms of the place, and relevance to the project) will contribute to the success of the work

Within the Approach section we also expect you to:

  • provide a comprehensive project plan including milestones and timelines
  • clearly describe both the framework and proposed methods and explain the reasons for their choice

References may be included within this section.

Applicant and team capability to deliver

Word limit: 1,500

Why are you the right individual or team to successfully deliver the proposed work?

What the assessors are looking for in your response

Evidence of how you, and if relevant your team, have:

  • the relevant experience (appropriate to career stage) to deliver the proposed work
  • the right balance of skills and expertise to cover the proposed work
  • the appropriate leadership and management skills to deliver the work and your approach to develop others
  • contributed to developing a positive research environment and wider community

You may demonstrate elements of your responses in visual form if relevant. Further details are provided in the Funding Service.

The word count for this section is 1,500 words: 1,000 words to be used for Résumé for Research and Innovation (R4RI) modules (including references) and, if necessary, a further 500 words for Additions.

Use the R4RI format to showcase the range of relevant skills you and, if relevant, your team (project and project co-leads, researchers, technicians, specialists, partners and so on) have and how this will help deliver the proposed work. You can include individuals’ specific achievements but only choose past contributions that best evidence their ability to deliver this work.

Complete this section using the R4RI module headings listed. Use each heading once and include a response for the whole team, see the UKRI guidance on R4RI. You should consider how to balance your answer, and emphasise where appropriate the key skills each team member brings:

  • contributions to the generation of new ideas, tools, methodologies, or knowledge
  • the development of others and maintenance of effective working relationships
  • contributions to the wider research and innovation community
  • contributions to broader research or innovation users and audiences and towards wider societal benefit
Additions

Provide any further details relevant to your application. This section is optional and can be up to 500 words. You should not use it to describe additional skills, experiences, or outputs, but you can use it to describe any factors that provide context for the rest of your R4RI (for example, details of career breaks if you wish to disclose them).

Complete this as a narrative. Do not format it like a CV.

In this section, please indicate joint leadership arrangements, if relevant.

References may be included within this section.

The roles in funding applications policy has descriptions of the different project roles.

Ethics and responsible research and innovation (RRI)

What are the ethical and RRI considerations, implications and issues relating to the proposed work? If you do not think that the proposed work raises any ethical or RRI issues, explain why.

What the assessors are looking for in your response

Demonstrate that you have identified and evaluated:

  • the relevant ethical and RRI considerations, including both the research or topic area itself and the design and delivery of the project
  • the wider implications of the proposed work, and how you will maximise the positive societal, environmental, and economic benefits arising from the project, whilst minimising unintended negative impacts, such as research misuse or accidental harm
  • how you will manage these considerations throughout the lifecycle of the project

If you are collecting or using data you should identify:

  • any legal and ethical considerations of collecting, releasing and storing the data (including consent, confidentiality, anonymisation, security and other ethical considerations and, in particular, strategies to not preclude further re-use of data)
  • formal information standards that your proposed work will comply with

Additional sub-questions (to be answered only if appropriate) relating to research involving:

  • animals
  • human participants
  • genetically modified organisms

You may demonstrate elements of your responses in visual form if relevant. Further details are provided in the Funding Service.

Please refer to the UKRI position statement on funding ethical research and Responsible innovation for more information around our expectations on ethical and responsible research and innovation.

Animal involvement and “3Rs”

You must complete this section about how your proposed project will involve or impact animals.

If your project does not involve or impact animals, you must confirm this on the next page.

You may be asked about:

  • what animals you are involving
  • the severity of the procedures you are using
  • where the procedures will take place
  • welfare standards you aim to meet
  • the relevance of your project to the development, validation or dissemination of the 3Rs

You may also need to download, complete, and upload at least one set of additional questions. You will be told how to do this towards the end of this section.

To complete this section and check whether your project is in the scope of the questions, refer to the UKRI policy for research and innovation involving animals.

What counts as an animal

UKRI policy relates to all animals in the Kingdom Animalia, including vertebrates and invertebrates.

Genetically modified organisms and biological risk

You must complete this section if your project will include genetically modified organisms or genetic technologies.

If you project does not involve genetically modified organisms or genetic technologies, you must confirm this on the next page.

You may be asked about:

  • the type of organism your project will involve and the procedures your project will include
  • the intended use of the organism or genetic technology
  • the genetic, biological and environmental risks of your project

For more information, see UKRI’s guidance on genetic technologies.

Human participation in health-related research

You must complete this section about whether your project will include human participation.

If your project does not involve human participation, you must confirm this on the next page.

You may be asked about:

  • what type of human participation your project includes
  • the project design for human participation
  • the phase of the clinical trial
  • whether the project will be in an NHS setting, if so, how the project will be registered
  • whether diversity and inclusion will be considered

For more information, see UKRI’s guidance for human participants in research.

Resources and cost justification

Word limit: 1,000

What will you need to deliver your proposed work and how much will it cost?

What the assessors are looking for in your response

Justify the application’s more costly resources, in particular:

  • project staff
  • significant travel for field work or collaboration (but not regular travel between collaborating organisations or to conferences)
  • any equipment that will cost more than £25,000
  • any consumables beyond typical requirements, or that are required in exceptional quantities
  • all facilities and infrastructure costs
  • all resources that have been costed as ‘Exceptions’

You can request costs associated with reasonable adjustments where they increase as a direct result of working on the project. For further information see Disability and accessibility support for UKRI applicants and grant holders. Where a funding limit is imposed on the opportunity, requested costs for reasonable adjustments may exceed the maximum funding amount.

Assessors are not looking for detailed costs or a line-by-line breakdown of all project resources. Overall, they want you to demonstrate how the resources you anticipate needing for your proposed work:

  • are comprehensive, appropriate, and justified
  • represent the optimal use of resources to achieve the intended outcomes
  • maximise potential outcomes and impacts

Risk and reward

Word limit: 1,000

To what degree is your proposed work speculative and high risk, with potential for high reward?

What the assessors are looking for in your response

Please comment on how the application will do one or more of the following:

  • revolutionise existing fields of research
  • create new fields of research
  • test new, unproven tools or techniques
  • cause paradigm shifts in existing thought and knowledge
  • support discovery that might lead to radically new and disruptive technologies
  • otherwise produce a step change in sustainable AI technology

Within this section we also expect you to detail why success in this project has the potential to generate significant rewards and deliver against government ambitions set out in the AI Opportunities Action Plan and Industrial Strategy in the future, noting that these rewards can be long-term and speculative.

Demonstrate that your proposed project and research is:

  • speculative, exciting, and potentially transformative
  • suitably risky to produce revolutionary research
  • designed to generate long-term rewards aligned with government strategy
  • is riskier and therefore not suitable for other existing funding opportunities (for example, applicant-led mode)

References may be included within this section.

Nominate reviewers

Word limit: 200

Please identify up to two members of the team involved who will participate in the distributed peer review (DPR) process. This should include the project lead and a co-lead if appropriate.

For each reviewer, you must provide:

  • their name
  • their institution
  • their email address. Please ensure you use the same email address that this individual has used in the core team section of your application
  • which UKRI research council their expertise broadly falls within (EPSRC, NERC, ESRC, AHRC, MRC, BBSRC or STFC)

Note that your answer to this question will not be assessed. However, failure to provide at least one reviewer (maximum two) will result in your proposal being rejected.

Nominated reviewers do not need to have membership of EPSRC’s Peer Review College.

The applicant team should only nominate individuals with the capacity, knowledge and confidence to provide constructive, comprehensive, quality reviews.

Please check that nominated reviewers have no planned leave (such as annual leave) which would prevent them from acting as a reviewer throughout November 2026. Reviewers will have three weeks to complete each assigned review.

We understand that individual circumstances can be unpredictable, and that there may be emergencies in a reviewer’s personal life which may cause delays or prevent them from submitting their reviews. Please inform us as early as possible if there are exceptional circumstances impacting any of your nominated reviewers. You can do this by emailing AI.Robotics@epsrc.ukri.org

For more information on reviewer responsibilities within the DPR process, please see DPR guidance for this opportunity in Additional information.

References are not required in this section.

Project partners

Add details about any project partners’ contributions. If there are no project partners, you can indicate this on the Funding Service.

A project partner is a collaborating organisation who will have an integral role in the proposed research. This may include direct contributions for example cash, donated equipment and resources, or staff seconded to the project, or indirect and in-kind contributions for example use of project partner’s equipment, datasets, or facilities. Project partners may be in industry, academia, third sector or government organisations in the UK or overseas, including partners based in the EU.

Add the following project partner details:

  • the organisation name and address (searchable via a drop-down list or enter the organisation’s details manually, as applicable)
  • the project partner contact name and email address
  • the type of contribution (direct or indirect) and its monetary value

If a detail is entered incorrectly and you have saved the entry, remove the specific project partner record and re-add it with the correct information.

For audit purposes, UKRI requires formal collaboration agreements to be put in place if an award is made.

Project partners: letters (or emails) of support

Upload a single PDF containing the letters or emails of support from each partner you named in the Project partners section. These should be uploaded in English or Welsh only.

What the assessors are looking for in your response

Enter the words ‘attachment supplied’ in the text box, or if you do not have any project partners enter ‘N/A’. Each letter or email you provide should:

  • confirm the partner’s commitment to the project
  • clearly explain the value, relevance, and possible benefits of the work to them
  • describe any additional value that they bring to the project
  • the page limit is one side A4 per partner

The Funding Service will provide document upload details when you apply. If you do not have any project partners, you will be able to indicate this in the Funding Service.

Ensure you have prior agreement from project partners so that, if you are offered funding, they will support your project as indicated in the Project partners section.

For audit purposes, UKRI requires formal collaboration agreements to be put in place if an award is made.

Do not provide letters of support from host and project co-leads’ research organisations.

Data management and sharing

Word limit: 500

How will you manage and share data collected or acquired through the proposed research?

What the assessors are looking for in your response

Provide a data management plan that clearly details how you will comply with UKRI’s published data sharing policy, which includes detailed guidance notes.

Facilities

Word limit: 250

Does your proposed research require the support and use of a facility?

What the assessors are looking for in your response

If you will need to use a facility, follow your proposed facility’s normal access request procedures. Ensure you have prior agreement so that if you are offered funding, they will support the use of their facility on your project.

For each requested facility you will need to provide the:

  • name of facility, copied and pasted from the facility information list (DOCX, 42KB)
  • proposed usage or costs, or costs per unit where indicated on the facility information list
  • confirmation you have their agreement where required

Facilities should only be named if they are on the facility information list above.

If you will not need to use a facility, you will be able to indicate this in the Funding Service.

Trusted Research and Innovation

Trusted Research and Innovation is the protection of the UK’s intellectual property, sensitive research, people, and infrastructure from potential theft, misuse, and exploitation.

Organisations receiving UKRI funding are obliged to act in line with UK government legislation. They are also expected to undertake appropriate due diligence assessment of organisations involved in research partnerships, collaboration agreements, and commercial contracts.

You will be asked about:

  • which areas of the National Security and Investment (NSI) Act your project relates to
  • who you intend to collaborate with and how
  • if your project requires an export control licence

Your answers may affect the T&Cs of your funding agreement if you are successful. We may use your answers to determine that our current T&Cs are sufficient or if additional T&Cs are required.

How we will assess your application

Assessment process

We reserve the right to alter the process if this opportunity is oversubscribed. We will assess your application using the following process:

Distributed peer review

All proposals for the ‘Transformative sustainable AI technologies’ funding opportunity will undergo distributed peer review (DPR). In DPR, applicants are also assessors and review other proposals submitted to the same funding opportunity to decide who gets funding. Each application receives up to eight reviews, which are then used to rank each application and make the funding decision. There is no project lead (PL) response or panel step.

By submitting a proposal, applicants agree to act as reviewers and to have their proposal reviewed by their peers. Please find the DPR rules and guidelines in the Additional information section below. It is important that you read these carefully before applying.

To make the application and DPR process more accessible, we are allowing other members of the applicant team to act as peer reviewers, alongside PLs. This will also enable different expertise to be used in the review process. Any additional reviewers to be included in the DPR pool should be explicitly indicated in the ‘Nominate reviewers’ section of the application.

Please note that by submitting a proposal, you accept the following terms and conditions:

  • all applicant teams will receive around eight to 10 proposals to review
  • the reviewer team is expected to carefully read all the assigned proposals, score them and provide feedback to the applicants following the rules and guidelines
  • failing to provide the reviews by the deadline will lead to the automatic rejection of the proposal submitted by the given applicant. Exceptions may only be permitted in extenuating circumstances.

By using different reviewer pools, budgets, and an allocation algorithm, applications will be assigned to reviewers in such a way that scoring an application has no bearing on the ranking of the reviewer’s own application. See the DPR rules and guidelines in the Additional Information section below.

The DPR process and outcomes will be evaluated by the EPSRC AI & Robotics team. You will be approached for feedback following the process.

By applying for this scheme, you are consenting to take part in DPR. Please do not apply for this opportunity if you would prefer not to take part in the DPR process.

UK Research and Innovation (UKRI) will make the final funding decision. UKRI reserves the right to take a portfolio approach to ensure disciplinary coverage.

For more information on how we prioritise applications for funding please visit How we make decisions.

Principles of assessment

We support the San Francisco declaration on research assessment and recognise the relationship between research assessment and research integrity.

Find out about the UKRI principles of assessment and decision making.

Using generative artificial intelligence (AI) in expert review

Generative AI may be used only for the purpose of language refinement during application assessment. When using generative AI to refine the language of a review, expert reviewers and panellists must ensure that:

  • no part of the application being assessed is entered into a generative AI tool
  • no personal information from the application is disclosed
  • generative AI is not tasked with understanding, summarising or evaluating the application’s content

Expert reviewers and panellists must also:

  • comply with relevant intellectual property and data protection legislation
  • not take into account or speculate within their assessment whether generative AI has been used to develop the application

For more detail see our policy on the use of generative AI.

We reserve the right to modify the assessment process as needed.

Assessment areas

The assessment areas we will use are:

  • vision and approach
  • applicant and team capability to deliver
  • ethics and responsible research and innovation (RRI)
  • resources and cost justification
  • risk and reward

Find details of assessment questions and criteria under the ‘Application questions’ heading in the ‘How to apply’ section.

Contact details

Get help with your application

If you have a question and the answers aren’t provided on this page

The helpdesk is committed to helping users of the UK Research and Innovation (UKRI) Funding Service as effectively and as quickly as possible. To manage cases at peak volume times, the helpdesk will triage and prioritise those queries with an imminent opportunity deadline or a technical issue. Enquiries raised where information is available on the Funding finder opportunity page and should be understood early in the application process (for example, regarding eligibility, content or remit of a funding opportunity) will not constitute a priority case and will be addressed as soon as possible.

Contact details

For help and advice on costings and writing your proposal please contact your research office in the first instance, allowing sufficient time for your organisation’s submission process.

For questions related to this specific funding opportunity please contact ai.robotics@epsrc.ukri.org

Any queries regarding the system or the submission of applications through the Funding Service should be directed to the helpdesk.

Email: support@funding-service.ukri.org
Phone: 01793 547490

Our phone lines are open:

  • Monday to Thursday 8:30am to 5:00pm
  • Friday 8:30am to 4:30pm

To help us process queries quicker, we request that users highlight the council and opportunity name in the subject title of their email query, include the application reference number, and refrain from contacting more than one mailbox at a time.

For further information on submitting an application read How applicants use the Funding Service.

Additional info

Background

AI development and deployment is a central pillar of UK government and UKRI strategy for economic growth, productivity and public service transformation. The rationale and plans for this are stated in the Industrial Strategy, the AI Opportunities Action Plan, and the UKRI AI Strategic Framework. AI, like other critical technologies, has its own distinct set of sustainability impacts, which include environmental issues such as energy, water and land use, as well as social and economic sustainability impacts. We must find bold and imaginative ways to reduce these impacts and ensure that these ideas can be built into AI development and design.

We aim to strengthen the UK’s capacity to design and deploy sustainable AI technologies and create the potential to disrupt the AI market. Novel research may lead to spill-over benefits in new markets, supply chains, national security and infrastructure resilience. The sustainable technologies and tools funded through this opportunity are expected to contribute towards the aspirations of the AI Opportunities Action Plan as well as the AI Hardware Plan by securing our future of homegrown AI and laying the foundations to enable AI.

The global climate crisis provides an imperative for developing AI in a way that does not take this path at the expense of future generations. The benefits of sustainability savings found now and implemented will begin to scale quickly as the use of AI accelerates. Building the UK’s research activity in this area will also present an opportunity for the UK AI sector to lead on implementing these solutions and provide a competitive advantage for UK-AI technology. At a societal and economic level, the path of adoption will be smoothed by reducing the associated environmental burden. Reducing the resource use of AI will also improve resilience and enable sovereign AI for less cost.

Funding relatively large numbers of small grants in this area allows us to dramatically increase our risk appetite, and we are therefore actively encouraging high-risk, high-reward applications that could produce a step change in sustainable AI technology. The intention is to support fundamental projects, then where appropriate and possible, support continued idea and technology development through alternative funding (subject to budgets) once the initial project is concluded.

Royal Academy of Engineering

The Royal Academy of Engineering published Engineering Responsible AI: foundations for environmentally sustainable AI in February 2025. This paper proposes five foundational steps that policymakers could take to enable the development of environmentally sustainable AI systems and establish the UK as a global leader in AI sustainability. These steps are:

  • expanding environmental reporting mandates
  • providing information on environmental impacts of AI systems across the value chain (AI compute, IT infrastructure, data and algorithms, interaction and use)
  • setting environmental sustainability requirements for data centres
  • reconsidering data collection, transmission, storage, and management practices
  • leading the way with government investment

The Royal Academy of Engineering has since continued to work alongside National Engineering Policy Centre partners (as well as external partners) to support the development of a responsible and sustainable AI ecosystem in the UK through its Engineering Responsible AI initiative.

Monitoring and reporting requirements

Reporting requirements for these investments will be communicated once awards begin.

Grant conditions

Additional grant conditions for these investments will be communicated once awards begin.

Research and innovation impact

Impact can be defined as the long-term intended or unintended effect research and innovation has on society, economy and the environment; to individuals, organisations, and the wider global population.

Webinar for potential applicants

We will hold a webinar on 16 September 2026. This will provide more information about the funding opportunity and a chance to ask questions.

Register for the webinar

Research disruption due to COVID-19

We recognise that the COVID-19 pandemic has caused major interruptions and disruptions across our communities. We are committed to ensuring that individual applicants and their wider team, including partners and networks, are not penalised for any disruption to their career, such as:

  • breaks and delays
  • disruptive working patterns and conditions
  • the loss of ongoing work
  • role changes that may have been caused by the pandemic

Reviewers and panel members will be advised to consider the unequal impacts that COVID-19 related disruption might have had on the capability to deliver and career development of those individuals included in the application. They will be asked to consider the capability of the applicant and their wider team to deliver the research they are proposing.

Where disruptions have occurred, you can highlight this within your application if you wish, but there is no requirement to detail the specific circumstances that caused the disruption.

Supporting documents

Distributed Peer Review Rules and Guidelines (PDF, 271KB)

Equality Impact Assessment (PDF, 243KB)

The UK’s Modern Industrial Strategy

This is the website for UKRI: our seven research councils, Research England and Innovate UK. Let us know if you have feedback or would like to help improve our online products and services.