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Funding Opportunity




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Exploratory Interdisciplinary Synergy Programme 2026

Novo Nordisk Fonden

Many scientific challenges that have large implications for health and sustainability can only be addressed through interdisciplinary efforts. With the Exploratory Interdisciplinary Synergy Programme, the Novo Nordisk Foundation seeks to strengthen the synergy between researchers, across disciplines, organisations, and national borders. The goals of the Exploratory Interdisciplinary Synergy Programme are to:

  • Enable creative, novel, high-risk/high-gain interdisciplinary research
  • Support exploration of early-stage, un-tested ideas that requires interdisciplinary collaboration and solutions
  • Stimulate emerging research that spans across scientific disciplines and techniques
  • Break down or overcome the barriers that hamper collaboration across disciplines
  • Strengthen Danish research through internationalisation
  • Educate and train the next generation of researchers with interdisciplinary skills

Research areas:

The Programme is designed to fund the exploration of untested research ideas that require an interdisciplinary approach and demonstrate the potential to have a high level of impact, i.e. high- risk/high-gain. Research must align with NNF’s strategic focus areas of Biomedical Sciences, Biotechnology, and Natural and Technical Sciences, with applicability in health or sustainability. Research within Social Sciences and Humanities can be an element of the proposal but cannot be the primary drive. Applicants that already have preliminary data are encouraged to consider the full Interdisciplinary Synergy Programme as an alternative.

Funding

Up to DKK 6.8 million can be requested for a project running up to 3 years. The total annual budget for this call is DKK 68 million.

 Application process

Please read “Information and Guidelines for Applicants” carefully before initiating the application process. Essential information about eligibility, required content, the evaluation criteria, budget structure, etc. is found in these guidelines.

The application must be completed and submitted using the foundation’s application system NORMA that can be accessed via the link “Apply now“.

AI Based Application Success Predictor

1. Outstanding scientific quality (Highest Predictor ⭐⭐⭐⭐⭐)

Scientific excellence is the foundation of all NNF funding decisions.

Competitive proposals demonstrate:

  • High scientific quality
  • Clear scientific rationale
  • Strong research questions
  • Rigorous methodology
  • High technical standards

Independent international expert committees evaluate scientific quality as a primary criterion.

2. Novelty and innovation (Highest Predictor ⭐⭐⭐⭐⭐)

Innovation is one of the Foundation's explicit review criteria.

Competitive projects should include:

  • Novel hypotheses
  • Original concepts
  • Innovative technologies
  • Creative experimental approaches
  • Transformative scientific ideas

Applications proposing genuinely new approaches are generally more competitive than incremental studies.

3. Potential scientific and societal impact (Highest Predictor ⭐⭐⭐⭐⭐)

Review committees assess whether the proposed work has the potential to produce meaningful impact.

Competitive projects demonstrate potential to:

  • Advance scientific knowledge
  • Improve human health
  • Strengthen life sciences
  • Benefit society
  • Support sustainability where relevant
  • Improve healthcare or clinical practice

Potential impact is a formal component of proposal evaluation.

4. Strong qualifications of the applicant (Highest Predictor ⭐⭐⭐⭐⭐)

Applicant excellence is a major evaluation criterion.

Reviewers assess:

  • Scientific track record
  • Publications
  • Previous discoveries
  • Leadership ability
  • Independence
  • Career achievements
  • Ability to successfully complete the project

For senior awards such as the Laureate Research Grant, investigator excellence is a major determinant of funding.

5. Rigorous methodology and project feasibility (Very High Predictor ⭐⭐⭐⭐⭐)

Competitive applications include:

  • Clear objectives
  • Appropriate methodology
  • Realistic timelines
  • Achievable milestones
  • Sound experimental design
  • Risk management

Committees evaluate whether the project can realistically achieve its proposed objectives.

6. Alignment with the specific funding call (Very High Predictor ⭐⭐⭐⭐⭐)

Each NNF funding programme has its own objectives and assessment criteria.

Competitive proposals closely match:

  • The specific call
  • The programme's scientific focus
  • Eligibility requirements
  • Strategic priorities

Applicants are expected to follow the individual call guidelines carefully.

7. Strong research environment and institutional support (Very High Predictor ⭐⭐⭐⭐⭐)

Reviewers consider:

  • Host institution quality
  • Research infrastructure
  • Institutional commitment
  • Available facilities
  • Collaborative environment

Many calls require formal support from the host institution.

8. Appropriate and well-justified budget (High Predictor ⭐⭐⭐⭐☆)

NNF explicitly evaluates:

  • Budget realism
  • Cost justification
  • Efficient use of resources
  • Appropriate allocation of funds

Budgets should align closely with the proposed scientific activities.

9. Multidisciplinary collaboration and ecosystem contribution (High Predictor ⭐⭐⭐⭐☆)

Many NNF programmes encourage:

  • Cross-disciplinary collaboration
  • International partnerships
  • Industry–academic collaboration
  • Contributions to the life science ecosystem

Projects that strengthen research capacity and collaboration are viewed favorably.

10. High-quality application preparation and communication (High Predictor ⭐⭐⭐⭐☆)

Competitive applications typically demonstrate:

  • Clear organization
  • Excellent scientific writing
  • Compliance with NORMA application requirements
  • Complete documentation
  • Strong formatting
  • Internal institutional review before submission

The Foundation recommends applicants carefully proofread applications and obtain feedback from mentors or colleagues before submission.

The Novo Nordisk Foundation seeks to strengthen the synergy between researchers, across disciplines, organisations, and national borders. 

Sponsor Institute/Organizations: Novo Nordisk Fonden

Sponsor Type: Corporate/Non-Profit

Address: Tuborg Havnevej 19 2900 Hellerup

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Grant

Final Deadline:

Sep 03, 2026

Funding Amount:

$1,019,996

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