Call for Participation is now open! Submission page: https://cmt3.research.microsoft.com/AICCECCV2026
The climate crisis is one of our greatest challenges, requiring urgent breakthroughs in both mitigation and adaptation. While the conservation of natural carbon stocks and biodiversity hotspots is critical, adapting to inevitable climate shifts requires robust predictive modeling and real-time monitoring. AI, including Computer Vision, is uniquely positioned to address these needs through advanced spatiotemporal analysis, multimodal sensor fusion, and automated semantic understanding of our planet’s surface.
AICC-2 will bridge the gap between fundamental AI research and high-impact environmental applications. Beyond immediate societal benefits, tackling climate-related data offers the AI & Computer Vision community a rich set of research avenues that transcend standard benchmarks. These include e.g. (i) domain generalization across seasonal, topographical, and sensor-induced distribution shifts; (ii) learning from imperfect data, e.g. fine-grained categorization in long-tailed or noisy crowd-sourced datasets; (iii) large-scale change detection via self-supervised learning on satellite and aerial streams.
AICC will focus on identifying open problems in climate & conservation and highlighting cases where CV has moved from theoretical proof-of-concept to field-deployed impact. By uniting domain scientists and CV researchers, we aim to inspire the community to tackle these high-dimensional, multi-scale challenges.
The program will be guided by the these questions:
1. What are the open problems in climate and conservation?
2. How can CV researchers help practitioners make better decisions?
3. How can the CV community benefit from tackling domain-specific problems?
About the ECCV conference: The European Conference on Computer Vision (ECCV) is a biennial premier research conference in Computer Vision and Machine Learning, managed by the European Computer Vision Association (ECVA). It is held on even years and gathers the scientific and industrial communities on these areas. The first ECCV was held in 1990 in Antibes, France, and subsequently organized all over Europe.
More information on the ECCV website: eccv.ecva.net
AICC: Workshop on AI for Climate and Conservation @ EurIPS 2025, Copenhagen, Denmark [recordings]
Devis Tuia
EPFL
Bruno Sánchez-Andrade Nuño
LGND
Nora Gourmelon
Friedrich-Alexander University of Erlangen–Nuremberg
Abdulhakim Abdi
Lund Unversity
Workshop format
The AICC-2 workshop collocated with ECCV invites researchers to present and discuss their recent work at the intersection of climate and conservation science, computer vision, and machine learning. We encourage the submission of novel unpublished work and recently published work. All accepted papers will be presented as a poster. Authors can express their interest in presenting their work as an oral talk, which will be evaluated by the Program Committee. The submission will be single-blind and we will not formally publish the submission. Authors can express their interest in presenting their work as an oral talk.
Submission guidelines
Novel unpublished work should be formatted using the single column ECCV template with max. 4 pages (excluding references). The submission will be single-blind and non-archival, which means that we will not formally publish the submissions.
Published papers can be submitted by uploading the formally published paper.
Submission portal:
https://cmt3.research.microsoft.com/AICCECCV2026
Timeline
All dates are AoE.
Submission deadline: July 7
Notification of acceptance: August 5
Poster submission deadline (if accepted): August 15
Scope
Relevant topics include but is not limite to:
Methodological frontiers
Open-world & fine-grained recognition
Self-supervised learning
Uncertainty quantification
Physics-informed modeling
Climate & conservation applications
Spatiotemporal Earth observation
Carbon flux estimation
Biodiversity monitoring
Extreme weather forecasting
Aleksis Pirinen
RISE Research Institutes of Sweden
Ankit Kariryaa
University of Copenhagen
Begüm Demir
TU Berlin
Nico Lang
University of Copenhagen
Olof Mogren
RISE Research Insstitues of Sweden
Isabelle Tingzon
RISE & KTH
Lucia Gordon
Harvard University
Joakim B. Haurum
University of Southern Denmark
Through the planning of the AICC-2 workshop we have ensured that we include a diverse set of speakers and organizers across several aspects such as gender, race, seniority, research interdisciplinarity, geographical location, and academic and industrial perspectives. Our organizational team spans 6 universities from 4 countries, and academic positions ranging from PhDs to Full Professor. As for the invited speakers in particular, diversity has been ensured by spanning 5 institutions (including companies such as LGND AI), both genders, different nationalities, backgrounds and areas of expertise (ranging from core CV/AI researchers, to mixed-CV/AI-domain, to mainly domain experts). These invited speakers are predominantly established researchers, but we plan to include presentations from junior researchers as shorter oral talks, which gives a further opportunity to select speakers such as to increase diversity. Also, to have a diverse set of attendees we plan to communicate across several channels, such as Slack, BlueSky, LinkedIn, mailing lists, and reaching out to domain experts in Europe and beyond.
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.