Climate AI Nordics co-founder in Swedish Public Radio

What role should AI play in tackling the climate crisis? Today, our co-founder Olof Mogren, PhD joined Klotet on Swedish public radio (Sveriges Radio P1) for an important conversation on the possibilities and risks of AI for climate resilience. Alongside Frida Berry Eklund from our partner organization Klimatkollen and Victor Galaz from Stockholm Resilience Centre, Olof emphasized that:

AI is part of the solution—but not the whole solution. While it’s a powerful tool that can boost efficiency and support smarter decisions, AI itself is neither good nor bad. It can just as easily accelerate climate harm if misapplied—like making fast fashion more efficient.
The key isn’t just building smarter AI. It’s steering its use through clear societal goals and incentives. Olof argues that we must focus on the underlying activities that AI supports. Without addressing the root issues—like fossil fuel dependence or unsustainable production—tech alone won’t save us.
At Climate AI Nordics, we believe in guiding AI to amplify climate-positive action, not just speed things up.

Big thanks to Marie-Louise Kristola at Sveriges Radio for elevating this critical discussion—and to our brilliant partners and colleagues helping shape a responsible, sustainable AI future.

Listen to the episode (in Swedish): sverigesradio.se

Share on

LinkedIn BlueSky

Optimising green infrastructure for climate-resilient cities: AI-driven approaches to urban cooling

Event date: 2025-04-03

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.