International Funding Opportunities /

Data Science Collaborative Research Programme 2022

The Data Science Collaborative Research Programme aims to support synergistic research collaborations rooted in data science that:

  • lead to new or improved core data science algorithms, methods, and technologies.
  • explore and expand data science applications to real-world scientific problems within the scope of the NNF Data Science Initiative.

The programme is a part 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.

In addition, the programme expects that the ideal projects will bring together data scientists and “domain-experts” in other scientific fields (like medicine, biology, plant science, biotechnology, physics, chemistry, etc.) or involve collaborations between different data science research groups in a synergistic effort to solve important scientific problems.

Funding Agency:

Novo Nordisk Foundation

Deadline:

15 March 2022, 2pm (CET)

Fund:

Up to DKK 25 million per grant

Duration:

4-5 years

Research Area:

Data Science

Eligibility:

  • The consortium can consist of up to 6 applicants (main applicant and 5 co-applicants) from up to 4 different research departments (including that of the main applicant).
  • The main applicant (programme leader) should be at least 50% associated to/employed at a Danish university, hospital, or other non-profit organisation, which will be the host institution for the project.
    Note: The main applicant need not be conducting data science research, but the project must be rooted in data science, and have a clear data science-driven focus.
  • The research departments of the co-applicants can be either located in Denmark or abroad.
  • The collaborations can be across institutions and national borders but have to involve at least one Danish-based data science group. 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. 

For more information:

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