Supporting AI climate action across the Nordic region
We are a network of researchers developing AI to accelerate climate mitigation and adaptation — from biodiversity monitoring to resilient cities and nature-based solutions.
What we do
AI for climate
E.g. remote sensing, ML, and decision support for wetlands, urban greening, hazards, and biodiversity.
Nordic network
We connect researchers, public sector and industry to co-create open tools, datasets, and reproducible workflows.
From pilots to policy
Turning models into decisions for mitigation, rewetting/rewilding, and climate resilience.
Spotlight

2026 Nordic Workshop on AI for Climate
The 2026 Nordic Workshop on AI for Climate will gather researchers from the Nordics. This one-day, in-person workshop, will take place in Copenhagen, June 26th 2026. The workshop will feature a mix of keynotes, oral presentations, and posters around the topics of AI for tackling climate change, including AI for biodiversity and the green transition. The workshop will be a meeting point for a wide range of researchers from (primarily) around the Nordic countries.
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Registration is open for the 2026 Nordic Workshop on AI for Climate
[Registration is open](https://docs.google.com/forms/d/e/1FAIpQLSeBC2TY_d5fGPwsgD9krBXClFJJStkwC_YSy6qWsrmnEGCz4Q/viewform) for the 2026 Nordic Wor...
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Upcoming seminars spring/summer 2026
The Spring/Summer 2026 Climate AI Nordics webinar series features an elite lineup of experts exploring the intersection of artificial intelligence ...
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More info on the 2026 Nordic Workshop on AI for Climate
Climate AI Nordics is excited to now provide more information about our upcoming annual workshop - [**The 2026 Nordic Workshop on AI for Climate**]...
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HydroImaging: Mining Imaging Data for Hydrological and Environmental Modelling
Submit your research to HydroImaging, a half-day IEEE ICIP 2026 workshop in Tampere, Finland (September 13–17, 2026). This workshop bridges compute...
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Enhanced Flood Detection through Innovative integration of PolSAR, metaheuristic optimization, and deep learning-based segmentation
Webinar with Solmaz Khazaei, KTH Royal Institute of Technology. Flood is the most common natural disaster in the world, and can have catastrophic i...
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AI in the wild: How Neural Networks Help Us Understand Our World Through Sound
Webinar with Jeppe Rasmussen, University of Copenhagen. Bioacoustics, the study of nature’s sounds, has long been a powerful tool for studying wild...
Event details →Job openings



