[Novo Nordisk Foundation](https://novonordiskfonden.dk/en/)

March 2027 (full application deadline, projected)

Up to DKK 40 million (~€5.4M) per grant over 4–5 years; scales with consortium size (DKK 14M–40M).

Supports collaborative research in data and computational science with applications relevant to Novo Nordisk Foundation’s focus areas.

Forecasted call; all dates are projections—verify on the program page.

--- ## Description This program funds synergistic collaborative research rooted in data science and computational science, with a strong emphasis on advancing both methodological innovation and impactful applications within the Novo Nordisk Foundation’s strategic areas. It aims to foster interdisciplinary partnerships between data scientists and experts from fields such as medicine, biology, biotechnology, physics, chemistry, and related domains. Projects should demonstrate novelty in computational methods or their application and must align with the Foundation’s priorities in health, sustainability, and the life science ecosystem. The program also supports the advancement of academic research and education in data science within Denmark. --- ## Due Dates - March 2027: Full application deadline (anticipated/projected) *All dates are projected based on the annual cycle; check the program page for updates.* --- ## Funding Amount - Each grant: Up to DKK 40 million (~€5.4M) over 4–5 years. - Maximum grant scales with consortium size: - 2 partners: up to DKK 14 million - 3 partners: up to DKK 20 million - 4 partners: up to DKK 28 million - 5 partners: up to DKK 40 million - Total annual program budget: up to DKK 99 million. Eligible costs include salaries (excluding main/co-applicants), PhD tuition, operating expenses, equipment, data management, collaborative activities, and more. --- ## Eligibility - Main applicant or at least one co-applicant must be a data science or computational science researcher. - Main applicant must be associated with/employed at a Danish university, hospital, or non-profit institution (at least 70% appointment) during the project. - Project must demonstrate synergistic collaboration between different research groups, typically from different institutions or disciplines. - Up to 5 co-applicants; additional collaborators allowed (but cannot receive funding directly). - Co-applicants may be based in Denmark or abroad. - Industry collaboration is possible, but funding cannot be awarded directly to industry partners (except as subcontractors). - Projects primarily focused on financial/insurance, commercial analysis, gaming, defense, or telecommunication are out of scope unless justified as relevant to the Foundation’s scientific focus areas. - Applicants may submit only one application as main applicant per call and may only hold one active Data Science Collaborative Research or Investigator grant as main applicant at a time. --- ## Application Process - **Two-phase process:** - **Phase 1:** Submission of a full application (max 30,000 characters) via the [NORMA system](https://norma.novonordiskfonden.dk/). - **Phase 2:** Top-ranked applicants are invited for an interview with the review committee. - Application materials must be in English. - Required documents include CV, publication list, project description, budget, and a hosting letter from the Danish institution. - Only the main applicant can submit the final application; co-applicants must be invited and registered in NORMA. - Refer to the [Guidelines for Applicants (PDF)](https://novonordiskfonden.dk//app/uploads/Data-Science-Collaborative-Research-Programme-Guidelines_2024_Updated.pdf) for detailed requirements. --- ## Additional Information - Projects must align with the Foundation’s strategy in health, sustainability, and the life science ecosystem. See the [strategy document (PDF)](https://novonordiskfonden.dk//app/uploads/Strategy-folder-2022.pdf). - The program encourages the integration of research outcomes into data science teaching and training at Danish universities. - No feedback is provided for declined applications. - Only unique, tailored applications will be considered; duplicate submissions will be rejected. --- ## External Links - [Program page](https://novonordiskfonden.dk/en/grant/data-science-collaborative-research-programme-2026/) - [Committee for Data Science](https://novonordiskfonden.dk/en/committees/committee-for-data-science/) - [How to apply & grant administration](https://novonordiskfonden.dk/en/how-we-work/what-are-grants/) - [Application system (NORMA)](https://norma.novonordiskfonden.dk/) - [Guidelines for Applicants (PDF)](https://novonordiskfonden.dk//app/uploads/Data-Science-Collaborative-Research-Programme-Guidelines_2024_Updated.pdf) - [Foundation strategy (PDF)](https://novonordiskfonden.dk//app/uploads/Strategy-folder-2022.pdf) --- ## Contact Information | Name | Role | Email | Phone | |---------------------|---------------------------------|---------------------------|-----------------| | Linsey Zielinski | Grant Manager | lzi@novo.dk | | | Cecilia Lövkvist | Scientific Manager, Technical Sciences | clv@novo.dk | | | General Inquiries | | info@novonordiskfonden.dk | +45-4444-8888 | For technical support with NORMA: norma-support@novo.dk For full contact details and committee members, visit the [Committee for Data Science page](https://novonordiskfonden.dk/en/committees/committee-for-data-science/).

Data Science Collaborative Research Programme 2026

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