We are happy to share that we have partnered with ELLIS Machine Learning for Earth and Climate Sciences Program 🌍✨!
Read more on our partner page!
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Welcome to the Climate Change AI Nordics Newsletter, March 2025! Read about recent and coming seminars, workshops, and a critical perspective of environmentally sustainable AI.
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This perspective paper discusses several reasons why it is crucial to look at the impact of machine learning (ML) using systems thinking, i.e. across the entire life cycle of models, from development to deployment.
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Climate AI Nordics co-founder Olof Mogren in Swedish Public Radio show "Klotet". "AI is part of the solution—but not the whole solution".
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Webinar with Abdul Shaamala, Queensland University of Technology. Green infrastructure (GI) is critical in enhancing urban resilience, mitigating heat stress, and improving environmental sustainability. However, optimising the placement and configuration of green elements such as trees, parks, and vegetative corridors, requires a data-driven approach that accounts for microclimate variations, urban morphology, and long-term ecosystem benefits. This talk explores how artificial intelligence (AI), machine learning (ML), and geospatial analysis can be leveraged to optimise GI for urban cooling and climate adaptation. Specifically, it delves into tree optimisation strategies that enhance shade provision, reduce urban heat islands (UHI), and improve outdoor thermal comfort. By utilising computational models, including optimisation algorithms and thermal analysis, cities can strategically position vegetation to maximise cooling benefits while balancing urban development needs.
