The Novo Nordisk Foundation Challenge Programme funds ambitious, collaborative research projects that generate new knowledge to address major societal challenges in human and planetary health. It exists to catalyze breakthrough solutions that require interdisciplinary approaches and have the potential for significant real-world impact, with a strong emphasis on scientific excellence and innovation.
Selection Criteria
- Scientific excellence and novelty of the research idea
- Potential to address a major societal challenge within human or planetary health
- Interdisciplinary and collaborative nature of the proposed project
- Feasibility of the research plan and methodology
- Qualifications and track record of the applicant(s)
- Potential for real-world impact and translation of findings
- Alignment with the Novo Nordisk Foundation's strategic priorities
Past Winners / Cohort Profiles
Past winners of the Novo Nordisk Foundation Challenge Programme typically include established research consortia and senior researchers from leading universities and research institutions. The programme funds large, collaborative projects (often 10-20 million DKK) that bring together diverse expertise to tackle complex problems. Named examples are not available on the provided page, but the programme's history suggests a preference for bold, high-risk/high-reward proposals with clear pathways to impact.
Ideal Candidate Fingerprint
The ideal applicant is a senior researcher or a consortium of researchers with a proven track record of high-impact publications and successful grant management. They propose a highly innovative, interdisciplinary project that directly addresses a pressing challenge in human or planetary health, with a clear and compelling vision for how their research will lead to tangible societal benefits. The project should be ambitious in scope but methodologically sound, with a strong team and institutional support.
Recommended Framing
For Eniola Olutogun, the strongest angle is to position the TOPOLOGIX project as a pioneering, data-centric solution to the global health challenge of antimicrobial resistance (AMR), a key priority within human health. Emphasize the interdisciplinary nature of the work—combining protein language models, drug fingerprints, and machine learning—as a novel approach that overcomes the limitations of structure-based methods, offering a scalable and comprehensive tool for predicting drug resistance. Frame this as a foundational contribution to precision medicine and pandemic preparedness, aligning with the Foundation's mission to support transformative research with clear societal impact.
Watch Out
The applicant is an independent researcher, while this programme typically funds large, collaborative consortia led by established PIs at recognized institutions. The lack of a formal institutional affiliation and a PhD may be a significant disadvantage. The programme's scale (typically multi-million DKK) may be mismatched with the applicant's current career stage and project scope. The page content is a general list of funding opportunities and does not provide specific details on the Challenge Programme's current call, eligibility, or deadlines, making it difficult to assess fit.