Partners

The following organizations are partners to Climate AI Nordics. We share similar goals and objectives and collaborate on selected activities.

Would you like to partner with us?

Get in touch! contact@climateainordics.com.

The Swedish Centre for Impacts of Climate Extremes (climes) is a platform for research and training to promote scientific progress in the study of climate extremes and support societal resilience. The centre bridges the physical, medical, social and engineering sciences and focuses on three overarching themes: compiling data on impacts of climate extremes; investigating the societal and physical interplays determining the impacts of an extreme; and building policy-actionable scenarios of impacts of future extremes. The Centre is funded by the Swedish Research Council.

Read more on climes’ webpage!

AfriClimateAI is a grassroots community dedicated to harnessing the power of Artificial Intelligence for a sustainable, prosperous and climate-resilient Africa.

Visit africlimate.ai for more info!

The Global Wetland Center (GWC) is a collaborative initiative that involves experts and scientists from a diverse set of fields, including computer science & machine learning, ecology & natural resource management, as well as geography & remote sensing. Our center focuses on integrating wetlands into climate change mitigation strategies.

Read more on GWC’s webpage!

Klimatkollen is a Swedish open source citizen platform visualizing climate data about municipalities and companies. The aim is to contribute to more engaged citizens, a more fact-based climate debate, and actions that reduce emissions in line with the Paris Agreement. Klimatkollen is run by the nonprofit organization Klimatbyrån. Check out this Swedish text for more about the partnership.

Read more on the Klimatkollen’s webpage!

The ELLIS Machine Learning for Earth and Climate Sciences Program, part of the pan-European AI network of excellence ELLIS, is dedicated to modeling and understanding the Earth system through advanced machine learning and process understanding techniques, including spatio-temporal anomaly detection, dynamic forecasting, hybrid physics-ML modeling, causal inference, and data-model fusion. By benchmarking both synthetic and real datasets, the program drives innovative research in Earth and climate sciences while reinforcing Europe’s leadership and sovereignty in modern, human-centered AI.

Read more on the ELLIS Machine Learning for Earth and Climate Sciences Program’s webpage!

Sponsors

RISE is Sweden’s research institute and innovation partner. Through our international collaboration programmes with industry, academia and the public sector, we ensure the competitiveness of the Swedish business community on an international level and contribute to a sustainable society. Our almost 3300 employees engage in and support all types of innovation processes. RISE is an independent, State-owned research institute, which offers unique expertise and over 130 testbeds and demonstration environments for future-proof technologies, products and services.