Climate AI Nordics Newsletter, August 2026

Welcome to the August edition of the Climate AI Nordics Newsletter!
This issue covers our featured member Aleksi Nummelin, updates on our upcoming workshop on AI for Climate and Conservation at ECCV in Malmö in September, our newly obtained status as an officially registered non-profit organization! Also, updates from our partners, upcoming events, and new job opportunities.
We connect the Nordic region’s researchers and practitioners at the intersection of AI and climate action. Whether your focus is on emission mitigation, ecosystem resilience, or biodiversity, this community is built to help your work thrive.
If you know colleagues in academia, public agencies, or industry who share these interests, invite them to join us at climateainordics.com/join.
Community spotlight
Featured member, August 2026: Aleksi Nummelin

Aleksi Nummelin is a research professor at the Finnish Meteorological Institute, specializing in ocean and climate dynamics.
Read more!
News
AICC-2 schedule is now out!

2026-08-28 The detailed schedule for the AICC-2 workshop at ECCV 2026 is now out! Welcome to join AICC-2 on Sept 9th for a full day of inspiring presentation and discussions.
Read more!
Climate AI Nordics is now an official non-profit organisation

2026-08-04 Climate AI Nordics (CAIN) has officially registered as a non-profit organization (ideell förening) with the Swedish Tax Agency, marking a major milestone for our regional community.
Read more!
Climate AI Nordics a network partner of the CCAI-26 virtual summer school

2026-07-07 Climate AI Nordics has become an official Network Partner of the Climate Change AI Virtual Summer School 2026, securing complimentary registrations for members of Climate AI Nordics.
Read more!
Coming events
2nd Workshop on AI for Climate and Conservation (AICC-2) at ECCV 2026

Event date: 2026-09-09.
Climate AI Nordics is glad to announce that the 2nd Workshop on AI for Climate and Conservation (AICC-) has been accepted at ECCV 2026! The AICC-2 workshop will take place in Malmö, Sweden, Sep 9th.
Read more!
AI for Planetary Health – ECCV 2026 Social

Event date: 2026-09-10.
Join us for an informal evening social bringing together researchers, practitioners, students, and innovators working at the intersection of computer vision, AI, climate, biodiversity, conservation, and oceans. Whether you’re presenting a paper during ECCV, looking for collaborators, exploring new research directions, or simply interested in meeting others working on AI for planetary health, we’d love to see you there.
Read more!
HydroImaging: Mining Imaging Data for Hydrological and Environmental Modelling

Event date: 2026-09-13.
Submit your research to HydroImaging, a half-day IEEE ICIP 2026 workshop in Tampere, Finland (September 13–17, 2026). This workshop bridges computer vision, remote sensing, and environmental science to address climate change and the water cycle. Contributions on data-centric ML, multi-modal fusion, and disaster mapping are welcome.
Read more!
Recent events
More is different: emergent social conventions and tipping points in AI populations

This event took place 2026-08-27. Webinar with Ariel Flint Ashery, City St George’s, University of London. Social conventions are the foundation of social coordination, shaping how individuals come together to form a society. In this talk, I will present theoretical and experimental findings that demonstrate the spontaneous emergence of social norms in LLM populations, as well as the existence of tipping points in social convention. I will show that agentic AI populations can establish social conventions and highlight how collective biases can emerge even when individual agents appear unbiased. I will conclude by stressing how the ability of AI agents to develop norms without explicit programming has significant implications for designing AI systems that align with human values and societal goals.
Job openings
Researcher, Remote Sensing and Geospatial Data

The Finnish Environment Institute (Syke) is recruiting a fixed-term Researcher for applying artificial intelligence and machine learning in environmental monitoring, with a focus on processing remote sensing and geospatial data to support habitat and biodiversity initiatives.
Deadline: September 7th, 2026
Postdoc in Computer Vision and AI for Marine Image Analysis

DTU Compute is offering a Postdoc position to develop AI-based computer vision methods for analyzing underwater video sequences, specifically to quantify marine species abundance in Denmark’s maritime habitats as part of the HAV-INNO project.
Deadline: September 21st, 2026
PhD Research Fellow in Climate Data Analysis and Machine Learning Emulation of Hydrological Models

The University of Bergen is offering a PhD position to analyze extreme precipitation events using climate downscaling ensembles and develop a machine learning-based hydrological model to emulate hydrological responses for the DYNAMIC-AI project on climate extremes.
Deadline: September 30th, 2026
Doctoral Researcher, Atmospheric Sciences

The University of Helsinki is inviting applications for a Doctoral Researcher in atmospheric sciences to work on the AI-Dream project, focusing on developing criteria and evaluation suites to test the physical accuracy and explainability of deep Machine Learning models for weather forecasting.
Deadline: August 28th, 2026
Postdoc: Weakly supervised ML-based Earth observation for climate extreme impact quantification

RISE is recruiting a postdoc for the Climes center to develop an advanced Earth observation (EO) machine learning (ML) framework for quantifying the impacts of climate extremes.
Deadline: 2026-09-15
Machine learning engineer for computer vision and controlled pesticide-use.

Dimensions Agri Technologies (DAT) are recruiting a machine learning engineer. The selected candidate will help reduce and optimize the use of pesticides by developing targeted schemes through machine learning model assisted computer vision.
Deadline: Rolling
Partner posts
The following posts are from our partner sites, and the links will take you to their sites.
Climate Change AI Community: The world’s first true stochastic climate physical-risk system goes open source.

2026-08-26 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.
Read more at community.climatechange.ai!
Climate Change AI Community: Seeking Research Collaborators | Physics-Informed AI for Building Renovation

2026-08-26 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.
Read more at community.climatechange.ai!
Climate Change AI Community: Meet Idriss, Bridging Blue Carbon, Community Conservation, and AI

2026-08-26 Idriss Duramany Koromah is the Executive Director of Coastal Communities for Mangrove Protection – Sierra Leone (CCMP-SL), leading mangrove restoration, coastal resilience, and women’s livelihood initiatives across more than 50 coastal communities. Holding an MSc in Rural Development and Natural Resource Management from SLU in Sweden, he brings expertise in nature-based solutions, FPIC-based community engagement, and Verra VCS+CCB certified blue carbon finance. Idriss is now joining the Climate Change AI community to explore how AI can advance satellite-based mangrove monitoring, enhance blue carbon MRV, and make community-generated field data accessible to funders while preserving local ownership.
Read more at community.climatechange.ai!
Your news in the newsletter!
Make sure to share your work with us, by sending us an email ( contact@climateainordics.com), posting in our Slack or some other channel, and we’ll add it to the news feed! Take the chance of showcasing your work or your events to the community!
Also be sure to follow us on LinkedIn and BlueSky. Climate AI Nordics will have the most impact if you repost and like our stories!
Climate AI Nordics is a network of researchers working to harness AI in tackling the climate crisis through both mitigation and adaptation.
We promote the development of AI-based tools and optimization methods that support sustainable decision-making—helping reduce emissions, restore ecosystems, and build climate resilience.
