Novo Nordisk Foundation
Data Science Collaborative Research Programme 2026
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The Novo Nordisk Foundation Data Science Collaborative Research Programme funds consortium projects developing or applying data science methods across life science, biomedical, health, sustainability, and agriculture, with budgets up to DKK 40 million over five years. At least one principal applicant must be a data science researcher employed at a Danish university; co-applicants (2-5 partners total) may be international and from different disciplines. This annual call emphasizes cross-institutional and cross-disciplinary collaboration, making it ideal for researchers bridging computational science and domain expertise.
Details
| Funder | Novo Nordisk Foundation |
| Budget | Up to DKK 40M per grant; total budget up to DKK 99M |
| Duration | Up to 5 years |
| Consortium | Required — 2–5 partners, typically from different institutions/departments and disciplines; co-applicants may be based abroad |
| Application | 2-stage: full application (Phase 1) → presentation to review committee (Phase 2) |
| Frequency | Annual |
| Eligible countries | DK |
Eligibility & scope
Main applicant or at least one co-applicant must be a data science/computational science researcher employed at a Danish university or institution during the project period. Supports data science methods development and/or applications in life science, biomedical/health science, sustainability, agriculture, and related NNF focus areas. Projects focused on finance, surveillance, defence, gaming, or cybersecurity are out of scope.
Who Should Apply
- •Data science or computational science researchers employed at a Danish university or research institution
- •Researchers leading or co-leading consortia across 2-5 partners from different institutions, departments, or disciplines
- •Teams bridging computational methods with life science, biomedical research, health science, sustainability, or agriculture
- •International co-applicants welcome, though the Danish PI must maintain employment through the project period
Key Dates
- •Annual deadline (exact date to be confirmed on Novo Nordisk Foundation website)
- •Two-stage evaluation: full application (Phase 1) followed by presentation to review committee (Phase 2) for invited applicants
- •Up to five-year project duration
Tips for Applicants
- ✓Consortium diversity is scored explicitly: ensure co-applicants represent different institutions, departments, and research disciplines to strengthen competitiveness.
- ✓Articulate the data science innovation clearly, distinguish between applied analytics and genuine methods development; reviewers weight this distinction heavily.
- ✓Secure named commitments from co-applicants in writing before submission; vague partner involvement undermines Phase 2 presentation impact.
Frequently Asked Questions
How much can I apply for in the Novo Nordisk Foundation Data Science Collaborative Research Programme?
Up to DKK 40 million per grant over the five-year project period.
Do all consortium members have to be based in Denmark?
No; at least one principal applicant must be employed at a Danish university, but co-applicants (the remaining 1-4 partners) may be based abroad.
How many partners do I need to form a consortium?
The consortium must include 2-5 partners in total, typically from different institutions, departments, or disciplines.
What research areas does this programme fund?
Data science methods development and applications in life science, biomedical research, health science, sustainability, agriculture, and related NNF priority areas; finance, surveillance, defence, gaming, and cybersecurity are out of scope.
Is the application single or multi-stage?
Two-stage: applicants submit a full application (Phase 1), and shortlisted teams are invited to present to the review committee (Phase 2).
Summary generated by AI based on published grant information. Always verify details on the funder's website.
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