P1 Programs
AI for Climate & Conservation
Primary Point of Contact
Program Co-Directors
Program Description
The program brings together Danish AI and domain researchers working in biodiversity conservation and environmental monitoring. Through this program, the aim is to establish even stronger ties between academic and industrial stakeholders, disseminating recent advances in relevant AI techniques and identifying domain specific problems where AI can support domain experts.
In recent years there has been an immense increase in AI for climate and conservation, through advances in expert tasks such as biodiversity monitoring and land coverage estimation, as well as core methodological areas such as open world learning and fine-grained categorization. While prior research has to a large extent focused on image-based data sources, the program aims to also incorporate diverse modalities, such as biodiversity soundscapes, textual description, the use of DNA (e.g. DNA barcodes and environmental DNA), and potential multimodal approaches.
Through this program, the goal is to cultivate research within these fields further by bringing together researchers and practitioners. By actively including practitioners, who may or may not already be utilizing some form of AI, the aim is to ground future research efforts at P1 in urgent real world problems which require fundamental AI breakthroughs. It will also encourage the responsible development and use of AI, by including end-user stakeholders.

AICC: Workshop on AI for Climate and Conservation
EurIPS 2025, Copenhagen DK
About the AICC Workshop
The climate crisis is one of the most pressing challenges facing our societies. While mitigating further climate change remains crucial — e.g. through the conservation of natural carbon stocks and biodiversity hot spots — the adaptation to new climate conditions with increased risks of flooding, heat waves, and wildfires is becoming inevitable. Machine learning (ML) promises advanced analytical tools to better understand climate processes and to monitor biodiversity and vegetation health.
The focus of the AICC workshop will be on identifying open problems in the domain of Climate and Conservation, but also on hearing success stories, where artificial intelligence (AI) made a positive impact on our planet. Hence, this workshop aims to bring domain experts alongside ML experts to discuss open challenges in their work and to inspire the ML audience to contribute to these urgent challenges.
Find more information on the AICC Workshop: AICC@EurIPS2025
The following questions will guide the program of the AICC workshop:
- What are the open problems in climate and conservation? (for modellers, practitioners)
- What is actually needed from AI researchers?
- How can AI researchers contribute and help practitioners make better decisions?
- How can AI help to make better decisions?
About the EurIPS conference: EurIPS is a European conference officially endorsed by NeurIPS, the most prestigious AI conferences globally; EurIPS showcases cutting-edge research papers that shape the future of artificial intelligence; EurIPS workshops are independent of NeurIPS workshops; the ELLIS UnConference is the kick-off event of EurIPS and welcomes all participants to join.
More information on the EurIPS website: eurips.cc
People
University of Copenhagen, University of Copenhagen, Pioneer Centre for AI (P1)
Serge Belongie
Professor & DirectorUniversity of Copenhagen, University of Copenhagen
Ankit Kariryaa
Assistant ProfessorUniversity of Copenhagen
Christian Igel
ProfessorTechnical University of Denmark
Cornelia Jaspers
Senior Scientist, Centre LeaderSouthern University of Denmark
Joakim Bruslund Haurum
Assistant ProfessorIT University of Copenhagen
Laura Weihl
PhD studentAalborg University
Malte Pedersen
PostdocUniversity of Copenhagen
Nico Lang
PostdocEIVA A/S, IT University of Copenhagen
Olaya Álvarez-Tuñón
PostdocAalborg University
Stefan Hein Bengtson
Post docAalborg University
Thomas Moeslund
P1 Collaboratory Co-Lead and ProfessorUniversity of Southern Denmark
Ulrik Schultz
Professor, Head of Unit