Climate AI Nordics
Welcome to Climate AI Nordics. We are a network of researchers dedicated to developing and utilizing AI technologies to address the urgent global challenge of climate change. Our researchers focus on creating and promoting AI solutions that support both climate change mitigation, reducing the severity of climate change, and adaptation, adjusting to the effects of climate change. We are already in a climate emergency which is causing biodiversity loss, extreme weather events, and human suffering, and this necessitates a multifaceted approach involving both policy change, limitations on activities contributing to climate change, and bolstering societal resilience against climate-related events.
Climate AI Nordics promotes the development of AI-based analytical tools and optimization techniques that can inform decision-making processes crucial for ensuring a sustainable future for generations to come. In particular, we recognize that technology, particularly AI-based solutions, can play a role in supporting efforts such as rewilding, rewetting, and reducing emissions and the reliance on fossil fuels.
By bringing together researchers in the Nordic countries, Climate AI Nordics aims to accelerate progress in this critical field, enabling the sharing of expertise and resources to develop impactful AI solutions for climate change mitigation and adaptation.
News
| • | 2026-02-26: Two new Nordic networks/centers related to biodiversity, sustainability, AI (Read more) | ![]() |
| • | 2026-01-22: Recordings from AICC at EurIPS 2025 now available on YouTube! (Read more) | ![]() |
| • | 2025-12-16: Save the date: 2026 Nordic Workshop on AI for Climate Change (Read more) | ![]() |
Featured works
| • | 2026-02-26: Featured Project: Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring (Read more) | ![]() |
| • | 2026-01-23: Featured Paper: Global fields of daily accumulation-mode particle number concentrations using in situ observations, reanalysis data, and machine learning (Read more) | ![]() |
| • | 2025-12-01: Featured Paper: ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds (Read more) |
Events
| • | 2026-06-15 to 2026-06-18: Climes interdisciplinary summer school 2026 (Read more) | ![]() |
| • | 2026-03-05 to 2026-04-14: The Material Cloud Film Festival (Read more) | ![]() |
| • | 2026-03-05: Machine learning based classification of tree crops of Syrian Arab Republic (Read more) | ![]() |
Job openings
| • | 2026-02-17: PhD in AI-Driven Circular Material Recovery for Energy Applications (Read more) | ![]() |
| • | 2026-02-17: Doctoral student in Predicting Hydrological Extremes with Earth Data (Read more) | ![]() |
| • | 2026-02-17: Associate Senior Lecturer (Assistant Professor) in Data-Driven Evolution and Biodiversity (Read more) | ![]() |











