Data Science Collaborative Research Programme 2026
Supports interdisciplinary research partnerships in data and computational science, advancing innovative methods and applications in health, life sciences, and sustainability aligned with Novo Nordisk Foundation’s strategy.
Funder: Novo Nordisk Foundation
Due Dates (Anticipated): December 2026 (call opens) | March 2027 (full application / call closes)
Funding Amounts: Up to DKK 40 million per grant (scaling with consortium size), max 5 years; total annual program budget up to DKK 99 million.
Summary: Supports collaborative, interdisciplinary research in data and computational science with applications relevant to Novo Nordisk Foundation’s strategic areas.
Key Information: This is a forecasted call; dates are projected—confirm final deadlines on the program page.
Description
This program funds synergistic research collaborations rooted in data science and computational science, with immediate or potential future applications aligned with the Novo Nordisk Foundation’s strategy. The initiative aims to foster interdisciplinary partnerships between data scientists and experts from other fields (such as medicine, biology, biotechnology, physics, chemistry, and more), strengthening Denmark’s academic research and education ecosystem in data science. Projects may focus on developing new algorithms, methods, and technologies (including AI, machine learning, statistics, bioinformatics, mathematical modeling, and simulations) or on applying these disciplines to areas such as life sciences, health, sustainability, agriculture, and technical sciences. Both methodological innovation and impactful applications are emphasized, with a requirement for novelty and relevance to the Foundation’s scientific focus areas.
