Areas of support
Research proposals which are eligible for funding should address:
- Development of new algorithms, methods and technologies within data science, artificial intelligence (incl. machine learning and deep learning), statistics, bioinformatics, and other computational sciences (incl. mathematical modelling, simulations, etc.)
and/or
- 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.
For projects mainly concerned with methods development, it is important that the applicants argue convincingly for potential application and impact within NNF’s scientific focus areas. Vice versa, projects that have their primary focus on the application side must describe and explain the novelty and impact of their data- and computational science approach, be it development of novel methods or novel applications of existing methods.
In general, projects without potential applications within NNF’s scientific focus areas and/or projects with no novelty in terms of development or application of computational methods will not be funded in this programme. Projects where the primary focus is on financial or insurance, fraud detection, advertisement, commercial analysis, telecommunication, mass surveillance, defence, cyber security, gaming, etc., are considered outside of scope and will generally not be considered for funding.
Eligibility
The main applicant or at least one of the co-applicants must be a data science or computational science researcher. The main applicant can be either a computational researcher (data scientist) or a researcher from a relevant application domain (medicine, agriculture, physics, etc.), who is associated to/employed at a university or institution in Denmark during the project period.
The project may include up to 5 collaborators. The proposed research project should demonstrate synergistic collaboration between different research groups, typically from different institutions/departments and different scientific disciplines.
Funding
The total annual grant budget for the 2023 Data Science Collaborative Research Programme is up to DKK 75 million. Each grant can be up to DKK 30 million over up to 5 years.
The maximal size of the grant scales with the size of the collaborative consortia (maximally DKK 12 million for 2 partners, DKK 18 million for 3 partners, DKK 24 million for 4 partners, and DKK 30 million for 5 or 6 partners).
Application process
The application process consists of 2 Phases.
- In Phase 1, a full application, limited to 30,000 characters (including spaces), should be submitted.
- After review and discussion in the committee, the top ranked applicants are invited for Phase 2, in which they will present and discuss their proposed research projects with the review committee at the Novo Nordisk Foundation.
The application must be completed and submitted using the foundation’s application system NORMA that can be accessed via the link “Apply now”.
Please read “Information and Guidelines for Applicants” carefully before initiating the application process. The Guidelines provide essential information on the call and the application content and process.
