Supporting AI climate action across the Nordic region
We are a network of researchers developing AI to accelerate mitigation and adaptation — from biodiversity monitoring to resilient cities and nature-based solutions.
What we do
Earth observation + AI
Remote sensing, ML, and decision support for wetlands, urban green, hazards, and biodiversity.
Nordic network
We connect labs and agencies to co-create open tools, datasets, and reproducible workflows.
From pilots to policy
Turning models into decisions for mitigation, rewetting/rewilding, and climate resilience.
Latest news

Featured paper: Bayesian optimisation against climate change: applications and benchmarks
The featured paper this month shows how Bayesian optimisation can support climate change mitigation by tackling optimisation problems in renewable ...
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SWEO2025: Earth observation event in Stockholm
SWEO2025 is an event that revolves around the practical applications of Earth observation data, including within environmental monitoring and simil...
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Norway launches six new AI research centers
The Norwegian government has announced six new national research centers for artificial intelligence, backed by over NOK 1 billion over five years....
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Short course on artificial intelligence for environmental data
This two-day short course introduces early-career researchers and professionals to how AI can be applied for processing and interpreting environmen...
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Self-supervised pre-training for glacier calving front extraction from synthetic aperture radar imagery
Webinar with Nora Gourmelon, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). The factors influencing melt at glacier fronts facing the oce...
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Generative domain adaptation and foundation models for robust Earth observation
Webinar with Georges Le Bellier, CNAM. Deep learning for remote sensing plays a crucial role in turning satellite and aerial imagery into dependabl...
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