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Scope check option available until April 13, 2026 (200-word max email). Full EOI deadline April 27, 2026 at 17:00 BST. Notifications by May 30, 2026.
Evaluating the mental health impact of online technology restrictions is sponsored by Wellcome Trust. This initiative seeks expressions of interest from research teams to evaluate the mental health implications of potential age-restriction measures on online technologies, particularly social media use.
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Evaluating the mental health impact of online technology restrictions | Wellcome This website will not work correctly in Internet Explorer 11 and it is strongly recommended that you upgrade to an up-to-date browser. Internet Explorer 11 will go out of support and be retired on June 15, 2022. For more information on upgrading please see browser-update.
org . Application deadline: 17:00 BST, 27 April 2026 Administering organisation location: UK-based Funding duration: we expect work to begin by October 2026 Process timeline: you should expect to hear from us by 30 May 2026 regarding the outcome on your expression of interest. If your expression of interest is selected to progress, you will be invited to provide a more detailed application against specific criteria.
There is an urgent need for independent, rigorous evidence on the mental health implications of any measures introduced. Wellcome will support multidisciplinary research teams to deliver robust, policy relevant evaluations of any policy changes, with mental health impacts as the primary focus.
Wellcome’s mental health programme Wellcome aims to drive new and improved early interventions for anxiety, depression, and psychosis, emphasising personalised treatment options that span pharmaceutical, psychological and social interventions, and digital approaches. We do this in collaboration with the people most affected. Find out more about our mental health programme.
These teams will work in a cohort to deliver a complementary set of evaluations, and study design will be guided by expert recommendations supported by Wellcome. We are particularly interested in teams that can demonstrate: 1.
Strong, existing access to populations and data Teams should have established research access to children and young people through, but not limited to, largescale cohorts, longitudinal studies, school networks, population panels or community embedded partnerships that already collect repeated or long-term data and can quickly extend this work to evaluate policy impacts.
Teams must be able to draw on research active participant groups, and existing data linkage systems. We are also interested in groups who may be disproportionately affected by restrictions, such as children from low-income families, LGBTQ+ youth, rural and remote communities and migrant communities.
Importantly, applicants must be able to collect baseline data before any government measures are introduced, ensuring strong pre-post or staggered rollout comparisons. Work is expected to start as early as October 2026. 2.
Expertise in youth mental health and digital behaviour Teams must have strong expertise in adolescent mental health and digital behaviour, and the ability to implement validated, clinically meaningful measures suitable for repeated and time sensitive evaluation.
Applicants must understand digital technology use in ways that go beyond screentime metrics and be capable of examining the specific features of digital media that may influence mental health (for example, algorithms, infinite scroll). 3. Capability for robust causal and real-world evaluation Teams must be able to apply study designs to evaluate real-world policy implementation.
They must have the ability to deliver rapid evaluation, including mobilising field work or data pipelines quickly. Teams must be ready to begin work as early as October 2026. We expect evaluations to run for a minimum of one year.
4. Ethical, safeguarding, and data governance excellence Applicants should establish high quality ethics and safeguarding processes, including appropriate consent and assent procedures for under-16s and protocols suitable for school, community, or digital settings.
We are looking for teams committed to privacy-preserving, proportionate data collection with young people, with clear governance for partnerships involving schools, local authorities or digital platforms. 5. Commitment to coherence and collaboration Teams must be willing to contribute to a coordinated UK-wide evaluation effort, adopting shared measurement frameworks to ensure comparability across funded projects.
Applicants should be open to aligning approaches for research priorities, study design, minimum datasets and measures and based on expert advice and consensus. For information on roles and eligibility please refer to our guidance on Wellcome funding applicants . Please focus on the roles of ‘Lead applicant’, ‘Coapplicant’, Collaborator’.
must have a permanent, open-ended, or long-term rolling contract for the duration of the award can be based anywhere in the world, apart from mainland China must have a guarantee of space from their administering organisation for the duration of their commitment to the award, but do not need to have a permanent, open-ended, or long-term rolling contract at their administering organisation Your expression of interest should cover: Access to populations and data A summary of the cohorts, school networks, longitudinal studies, population panels or community partnerships you can draw on, including the scale and characteristics of the populations involved.
Please confirm your ability to extend existing repeated measures or longitudinal datasets and your readiness to begin work by October 2026. A short overview of your team’s relevant experience in youth mental health, digital behaviour, and real-world evaluation methods. Highlight any previous work involving rapid fieldwork, natural experiments, quasi-experimental designs or time sensitive data collection.
A concise statement on your established processes for ethics, consent and assent, safeguarding and privacy preserving data collection with under-16s, as well as any relevant governance arrangements for partnerships with schools, local authorities or digital platforms.
Key risk and dependencies A short paragraph on the main risks or dependencies that could affect your evaluation (for example: data availability, ethics, recruitment), and how you would plan to manage or mitigate them. An outline of who would be lead applicant, coapplicant(s) and collaborator(s) . Include the names, affiliations and relevant expertise of key team members and a lead contact for follow up.
Send your expression of interest to activeingredients@wellcome. org with the subject: ‘EOI: online technology restrictions evaluation’ by 17:00 BST 27 April 2026. We do not answer questions on the competitiveness of expressions of interest.
However, if you are unclear about whether your expression of interest would be in scope for this, you can send a very brief summary of your submission (no more than 200 words) with the subject ‘Scope check: online technology restrictions evaluation’ to activeingredients@wellcome. org by 17:00 BST 13 April 2026. You should expect to hear from us by 30 May 2026 regarding the outcome on your expression of interest.
If your expression of interest is selected to progress, you will be invited to provide a more detailed application against specific criteria.
Key questions and narrative sections extracted from the solicitation.
Strong, existing access to populations and data through cohorts or longitudinal studies
Expertise in adolescent mental health and digital behaviour
Capability for rapid, real-world policy evaluation
High quality ethics and safeguarding processes for under-16s
Commitment to a coordinated UK-wide evaluation effort
Based on current listing details, eligibility includes: Lead applicant must be UK-based with permanent/long-term contract; administering organisation must be a UK-based higher education institute, research institute, healthcare organisation, or NGO. Co-applicants can be worldwide (except mainland China). Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Not specified Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is April 27, 2026. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
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Wellcome Genomics in Context Awards is a grant from the Wellcome Trust that funds research integrating genomic data with clinical, environmental, and social context to improve understanding of health and disease. The program supports projects that go beyond generating sequence data to investigate how genomic variation interacts with lived experience, exposures, and biological systems. Eligible applicants include researchers at universities and research institutions globally, with preference for international collaborations. Awards fund multidisciplinary teams combining genomics, epidemiology, social science, and clinical research to generate actionable health insights.
The Evidence for AI in Health (EVAH) initiative is a US$60 million joint investment by the Bill and Melinda Gates Foundation Novo Nordisk Foundation and Wellcome Trust to support locally led evaluations of AI health tools in low- and middle-income countries. Representing the second investment from a US$300 million global health research partnership established in 2024 the program funds rigorous evaluations of AI-enabled clinical decision support tools designed for frontline healthcare workers in primary and community health settings. Funded evaluations include randomized controlled trials implementation science studies economic feasibility analyses and public health acceptance assessments of AI tools that feature machine learning computer vision or large language models trained on representative data for resource-constrained environments. The program focuses on triage diagnosis and referral functions in Sub-Saharan Africa South Asia and Southeast Asia. Implementation is managed by the Abdul Latif Jameel Poverty Action Lab (J-PAL) and the African Population and Health Research Center (APHRC). This is distinct from OpenAI mental health research grants and from Stanford AIMI-HAI which fund US-based AI healthcare research.
The Evidence for AI in Health (EVAH) initiative is a $60 million joint investment by the Gates Foundation, Novo Nordisk Foundation, and Wellcome Trust to support rigorous, country-led evaluations of AI health tools in low- and middle-income countries. Delivered in partnership with J-PAL and the African Population and Health Research Center, EVAH funds evaluations of AI-enabled clinical decision support tools in primary and community healthcare settings across Sub-Saharan Africa, South Asia, and Southeast Asia. Pathway A supports early-deployment evaluations focusing on usability, workflow integration, and safety for up to $1 million. Pathway B funds randomized controlled trials, economic analyses, and implementation science studies of tools ready for deployment at scale for up to $3 million. The initiative addresses a critical evidence gap about whether AI diagnostic and clinical decision support tools actually improve health outcomes in resource-limited settings.