Climate AI Nordics

Climate AI Nordics

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

2nd Workshop on AI for Climate and Conservation (AICC-2) at ECCV 2026

Event date: 2026-09-08

Event location: Malmö

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 8th or 9th (TBD).

Call for Participation is open at the AICC-2 webpage!

Background

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-2 will focus on identifying open problems in climate & conservation and highlighting cases where AI & CV has moved from theoretical proof-of-concept to field-deployed impact. By uniting domain scientists and AI/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:

What are the open problems in climate and conservation?

How can AI & CV researchers help practitioners make better decisions?

How can the AI & CV communities benefit from tackling domain-specific problems?

Speakers

  • Devis Tuia (EPFL)
  • Bruno Sanchez-Andrade Nuño (LGND)
  • Nora Gourmelon (Friedrich-Alexander University of Erlangen–Nuremberg)
  • Abdulhakim Abdi (Lund University)

Organizers

  • Aleksis Pirinen (RISE Research Institutes of Sweden)
  • Ankit Kariryaa (University of Copenhagen)
  • Begüm Demir (TU Berlin)
  • Nico Lang (University of Copenhagen)
  • Olof Mogren (RISE)
  • Isabelle Tingzon (RISE & KTH Royal Insitute of Technology)
  • Lucia Gordon (Harvard University)
  • Joakim B. Haurum (University of Southern Denmark)

Read more at the AICC-2 webpage

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