Part of the NNF Data Science Initiative
The Data Science Collaborative Research Programme is one of 4 pillars of the NNF Data Science Initiative, through which the Foundation aims to strengthen the Danish academic research environment within data science and artificial intelligence, as well as support the education and training of the next generation of data scientists.
Other calls in open competition include the Data Science Research Infrastructure Programme and the Data Science Investigator Programme. In addition, an academy for data science, with the purpose of establishing a network and distributing fellowships, is under design.
Areas of support
The collaborative research proposals must be linked to ongoing research and be within the scope of the NNF Data Science Initiative:
- Development of new algorithms, methods and technologies within data science, artificial intelligence (incl. machine learning and deep learning), data engineering, data mining, statistics, applied math, computer science, big data analytics, etc.
- Applications of data science (as defined above) within the Foundation’s core scientific areas: Biomedical and health science, life science and industrial applications promoting sustainability, as well as natural and technical sciences with potential application in biotechnology or biomedicine.
For projects mainly concerned with data science methods development, it is important that the applicants clearly show the relevance for potential future application and impact within life science, health science, or biotechnology. Vice versa, projects which have their primary focus on application of data science methods must describe and explain the novelty and impact of their data science approach, be it development of novel methods or novel applications of existing methods.
The Data Science Collaborative Research Programme supports up to six excellent scientists from up to four different research departments – that of the main applicant and up to three other departments – who will collaborate in a dynamic structure, exploiting their mutual synergy to solve a specific, shared research question which is within the scope of the NNF Data Science Initiative. The maximum funding budget is determined by the number of co-applicants.
It is critical that all collaborators contribute significantly to advancing the science in the proposal. The collaborations can be across institutions and national borders but have to involve at least one Danish-based data science group. The main applicant need not be conducting data science research, but the project is expected to have a data science-driven focus.
The state-of-the-art research programme must also lead to data science teaching programmes and/or training initiatives at Danish universities. Therefore, at least one of the collaborators (main applicant plus co-applicants) must have a current teaching portfolio at a Danish university that consists of undergraduate, graduate and/or training courses in data science-related topics.
Each Data Science Collaborative Research grant can receive up to DKK 25 million over a minimum of 4 and up to 5 years, and the total allowed budget for the consortium is calculated based on the following:
- Up to 4 different departments (including that of the main applicant) can receive funding.
- Each department that participates with a single independent applicant increases the consortium total budget by up to DKK 1.0 million per project year.
- Each department that participates with multiple independent applicants increases the consortium total budget by up to DKK 1.5 million per project year.
- Up to 6 applicants (main applicant and 5 co-applicants) can be involved in the collaboration.
It is allowed to redistribute the funding of the total budget between participants and over the project period.
In addition to the above-described funding, applicants have the option to apply for top-up funding of up to DKK 5 million ear-marked for project-essential research infrastructure and associated technical staff.
The total 2022 grant budget is up to DKK 60 million.
Application to other NNF programmes
It is possible for researchers to apply (as either a main or co-applicant) for each of the different data science calls under the NNF Data Science Initiative, but:
- The applicant must indicate which other submitted proposals includes her/him as a main or co-applicant
- The applications should not be contingent on each other
- The same research proposal cannot be submitted to different calls and any overlap in the project descriptions should be indicated clearly
In addition, dual submission for the NNF Interdisciplinary Synergy Programme is not allowed.
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.