Data Science Collaborative Research Programme in Denmark

Deadline: 5 March 2024

The Data Science Collaborative Research Programme aims to support synergistic research collaborations rooted in data science and computational science.

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, 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.

Funding Information

The total annual grant budget for the 2024 Data Science Collaborative Research Programme is up to DKK 75 million.
Each grant can be up to DKK 30 million, with a maximum duration of 5 years, and minimum duration of 4 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)

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 project may include up to 5 co-applicants
- 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.
- To receive funding, co-applicant(s) must be listed in the application as a “co-applicant” and the distribution of funding must be detailed in the budget. Furthermore, the roles of the co applicant(s) in the project must be clearly described in the project description.
- Additional co-applicants or collaborators (in addition to the 5 co-applicants) are allowed. However, these cannot receive funding from the programme.
An applicant may submit only one application per call as “main applicant”.
A main applicant can only be awarded one Data Science open competition (Collaborative Research Programme or Investigator Programme) grant from NNF within a given year.
The application and any additional uploads must be written in English.

Ineligible