Climate AI Nordics

Climate AI Nordics

Nordic network for collaborations around tackling climate change using AI and machine learning.

AI - a green gamechanger or a dirty conciousness?

Event date: 2025-05-02

Event location: Industriens Hus, H. C. Andersens Blvd. 18, 1553 København, Danmark

How can we utilize the enormous potential of artificial intelligence (AI) while also taking into account its impact on the climate? Artificial intelligence has the potential to transform large parts of our society and play a crucial role in the green transition. But at the same time, we must be aware of the energy consumption and the resource load that the use of AI also entails.

At the conference, you will meet participants including Caroline Stage Olsen (Minister for Digitalisation), Andreas Espersen (Industry Director, DI Digital), Lisbeth Knudsen (Strategy Director, Mandag Morgen think tank), Mette Louise Kaagaard (CEO, Microsoft Denmark), Marianne Thyrring (Director General, DMI), Jörg Hübner (Director, DTU Nanolab), Raghavendra Selvan (Associate Professor, University of Copenhagen), and many others.

This conference will be in Danish.

This event is not organized by or affiliated with Climate AI Nordics.

More info: https://www.danskindustri.dk/brancher/di-digital/events-og-netvark/arrangementer/2025/ai–og-klimakonference/.

Published:

Categories:

You May Also Enjoy

DIGeMERGE 2025 Conference

Event date:

DiGeMERGE 2025 is an international conference organized by researchers from the Digital Emergency Communication (DIGeMERGE) project. Funded under the CHANSE programme by the EU Commission (Horizon 2020) and Nordic research councils, DIGeMERGE explores the role of digital tools and platforms in public emergency communication across the Nordic countries. The conference provides a platform for researchers and students to present their work on the digital transformation of public emergency communication. Whether focusing on emergency management theories, risk analysis methods, or empirical case studies, participants will have the opportunity to share insights and engage with scholars from diverse disciplines, including the natural and social sciences.

The digital revolution of Earth system modelling

Event date:

Webinar with Peter Dueben, European Centre for Medium-Range Weather Forecasts. This talk will outline three revolutions that happened in Earth system modelling in the past decades. The quiet revolution has leveraged better observations and more compute power to allow for constant improvements of prediction quality of the last decades, the digital revolution has enabled us to perform km-scale simulations on modern supercomputers that further increase the quality of our models, and the machine learning revolution has now shown that machine-learned weather models are competitive with physics based weather models for many forecast scores while being easier, smaller and cheaper. This talk will summarize the past developments, explain current challenges and opportunities, and outline how the future of Earth system modelling will look like. In particular, regarding machine-learned foundation models in a physical domain such as Earth system modelling.

Climate AI Nordics Newsletter, April 2025

Published:

Welcome to the Climate Change AI Nordics Newsletter, April 2025! Read about recent and coming seminars, workshops, and a monitoring the lives of Common Guillemots in the Baltic Sea using AI-based soundscape analysis!

Featured Project: Acoustic Monitoring of Guillemot Life at Stora Karlsö

Published:

The AukLab project on Stora Karlsö enhances its AI-driven monitoring of Common Guillemots by adding continuous acoustic recording to its existing camera surveillance. A new system using synchronized Raspberry Pi units captures and analyzes guillemot vocalizations, integrating this audio data with visual and thermal information. Researchers aim to use machine learning on this combined dataset to gain deeper insights into social interactions, parental care, environmental responses, and potentially even detect fish arrivals acoustically. This addition represents a significant step towards creating a comprehensive digital representation of the guillemot colony for broader research access.