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About the Nordic Ai Partnership
Together, we are forming a lasting collaborative framework to advance AI research, education, and innovation across the Nordic region.
Structured around the three pillars of collaboration - research, education, and innovation - we aim to reinforce knowledge diffusion, strategic coherence, and collaboration.
Research
By consolidating the research ecosystems that each of the parties represent, we seek to foster a world-class research ecosystem in the Nordic region that combines scientific excellence with impact-driven research, particularly in areas of strategic relevance to the Nordics.
Driven by this ambition, we aim to:
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Advance and accelerate AI research
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Increase the sharing of expertise, data, and infrastructure across institutions and borders
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Strengthen collaboration by facilitating team formation and connecting researchers, research groups, and networks across the region
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Enable joint research projects by supporting AI societies and university-based initiatives in securing funding
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Strengthen talent attraction, mobility, and retention, ensuring the Nordics remain a globally competitive hub for AI research
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Education
Serving as a platform for collaboration, forming strategic partnerships, and promoting knowledge exchange and mobility across the Nordic AI landscape, we aim to advance AI education and community building.
Combining these efforts, our ambition is to position the Nordic region as the leading global hub for AI, attracting and retaining national and international top talent through world-class scientific excellence, access to advanced research infrastructure and ressources, strong commitments to inclusivity and equity, and high-quality working conditions.
Innovation
By reinforcing strategic coherence and coordinating efforts across research, education, industry, and policy, we aim to position the Nordic region at the international forefront of responsible and human-centred AI by building on existing mechanisms and creating new initiatives where needed.
Through cross-institutional and cross-sectoral collaboration and partnerships, we seek to bridge the gap between basic research and market-ready AI by translating research breakthroughs into solutions that address societal challenges, strengthen competitiveness, and drive sustainable economic growth.
Partners
The parties, P1, FCAI, CADIA, NORA, and WASP are national, and internationally facing, research-anchored institutions, producing research (papers and code) at top tier venues in Machine Learning, Computer Vision, Natural Language Processing, and other subareas of AI.
Denmark
The Pioneer Centre for Artificial Intelligence (P1)
Aalborg University, Aarhus University, the IT-University of Copenhagen, the Technical University of Denmark, and the University of Copenhagen
Finland
Finnish Center for Artificial Intelligence (FCAI)
Aalto University, the University of Helsinki, the VTT Technical Research Centre of Finland, and the ELLIS Institute Finland.
Iceland
Center for Analysis and Design of Intelligent Agents (CADIA)
Reykjavik University
Norway
Norwegian Artificial Intelligence Research Consortium (NORA)
The University of Agder, the UiT The Arctic University of Norway, Oslo Metropolitan University, the University of Bergen, the Norwegian University of Life Sciences, Simula Research Laboratory AS, NORCE Norwegian Research Centre AS, the University of Oslo, the University of Stavanger, the University of South-Eastern Norway, the Kristiania University College, the Western Norway University of Applied Sciences, Østfold University College, the BI Norwegian Business School, the University of Inland Norway, and the Norwegian Computing Center.
Sweden
Wallenberg AI, Autonomous Systems and Software Program (WASP)
The Chalmers University of Technology, the KTH Royal Institute of Technology, the University of Linköping, Lund University, and Umå University.
Formalizing a long-standing collaboration, the parties have signed a Memorandum of Understanding (MoU).
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Activities
Activities in line with the purpose and the guiding principles may include:
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Nordic AI Ecosystem Advocacy
The Parties plan to raise awareness of the unique advantages the Nordic region brings to the global AI landscape, such as digitalisation, trust in institutions, strong democracies and social systems, and a strong public-private collaboration culture.
Joint Research Projects
The Parties intend to cooperate on AI research projects that address key scientific challenges, particularly those relevant to the Nordic region. These could include, for example, navigating the promise and perils of Generative AI methods in the public sector (e.g., primary education, municipalities, hospitals), or the development of large language/vision models for Earth Observation and Climate Studies.
Mobility and Exchange
The Parties will aim to facilitate researcher mobility between institutions, increasing the visibility and accessibility of existing funding sources to support this.
Workshops and Conferences
The Parties will aim to co-organize annual workshops, seminars, and conferences to exchange research findings and share knowledge.
Supercomputing Resources
The Parties will strive to explore opportunities to share supercomputing resources, strengthening computational capabilities within the consortium.
Industrial and Applied AI Collaborations
The Parties will aspire to act as a unified interface to academia for applied AI networks and industry and public entity stakeholders, offering insights and guidance on AI research that aligns with academic and applied industrial goals.
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Access to Expertise
The Parties aim to co-create lists of experts across the subfields of AI, streamlining access to these resources within the Nordics.
