Data Science Collaborative Research Programme 2025 (Denmark)

Goals

• The goals of the Data Science Collaborative Research Programme are:
  • To foster research collaborations between data scientists
  • To support research collaborations between data scientists and experts in other fields, including but not limited to medicine, biology, biotechnology, physics, chemistry, etc.
  • To support an excellent academic research and education ecosystem within data science in Denmark
  • To advance education and training courses in data science-related topics in Denmark.

Areas of Support

• Research proposals which are eligible for funding should address:
  • Development of new algorithms, methods and technologies within data science or computational science, artificial intelligence (incl. machine learning and deep learning), statistics, bioinformatics, and other computational sciences (incl. mathematical modelling, simulations, cybersecurity etc.)
  • Applications of data science and computational sciences to areas of relevance to NNF’s strategy, including life science, biomedical- and health science, public- and global health, infectious disease, sustainability, green transition, agriculture, as well as natural and technical sciences.

Funding Information

• The total annual grant budget for the 2025 Data Science Collaborative Research Programme is up to DKK 91 million.
• Each grant can be up to DKK 40 million, with a maximum duration of 5 years, and minimum duration of 4 years.

Eligible Expenses

• Salary for scientific employees
• Salary for technical/administrative staff
• Salary for research secretary
• Tuition fee for PhD students up to DKK 80,000 per year per student
• Operating expenses, including materials, consumables, and services.
• Equipment and hardware required for the project. Costs may include acquisition, installation, implementation, service contracts, software, etc
• Infrastructure establishment and installation
• Data management
• Collaborative activities
• Conference participation
• Publication costs
• Project Supplement only available for Danish Universities
• Bench fee not applicable for Danish Universities
• Administrative expenses not applicable Danish Universities.

Ineligible Expenses

• Commercial activities
• Overhead/indirect costs (such as rent, electricity, water and maintenance)
• Double funding of projects

Eligibility Criteria

• The main applicant or at least one of the co-applicants must be a data science or computational science researcher who is actively engaged in research and teaching activities at an academic institution in Denmark during the project period. The main applicant can be either a computational researcher (data scientist) or a researcher from a relevant application domain (medicine, agriculture, physics, etc.).
• The proposed research project should demonstrate synergistic collaboration between different research groups, typically from different institutions/departments and different scientific disciplines. A project solely with applicants from the same institutional department or within the same scientific research domain is generally not within the scope of this call.

For more information, visit Novo Nordisk Foundation.