Partnership between Climate AI Nordics and CLIMES
We are excited to share our partnership with CLIMES, the Swedish Centre for Impacts of Climate Extremes 🌍✨!
Read more on our /partners/!
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Climate AI Nordics Newsletter, August 2026
Published:
The August 2026 Climate AI Nordics newsletter celebrates a major organizational milestone with its official registration as a non-profit in Sweden. This edition spotlights featured member Aleksi Nummelin, a research professor at the Finnish Meteorological Institute focused on ocean and climate dynamics. Readers can explore upcoming events, including the full schedule for the AICC-2 workshop and an AI for Planetary Health social at ECCV in Malmö. The issue also shares partner news spanning open-source climate risk engines, AI-driven building renovation research, and community mangrove conservation. Finally, several open positions are highlighted across the Nordic region for postdocs, PhD researchers, and machine learning engineers in climate and environmental AI.
AICC-2 schedule is now out!
Published:
The detailed schedule for the [AICC-2 workshop](https://sites.google.com/g.harvard.edu/aicc2eccv26/) at ECCV 2026 is now out! Welcome to join AICC-2 on Sept 9th for a full day of inspiring presentation and discussions.
Climate Change AI Community: The world’s first true stochastic climate physical-risk system goes open source.
Published:
RiskThinking.ai has launched the Climate Risk Commons, providing non-commercial researchers free access to their physical climate-risk engine. The initiative includes open frameworks, reference pipelines, and tools for advanced risk modeling, asset-level exposure analysis, and next-generation CMIP7 stress testing.
| Climate Change AI Community: Seeking Research Collaborators | Physics-Informed AI for Building Renovation |
Published:
A PhD researcher at Uppsala University in Sweden is developing AI-driven decision-support frameworks for sustainable building renovation, integrating physics-based modeling, machine learning, and digital twins. They are seeking collaborative partners to co-author papers across topics like hybrid AI, building simulation, computer vision, and engineering foundation models. Interested researchers with complementary expertise, novel ideas, or relevant datasets are invited to reach out to connect.