This workshop series is dedicated to exploring the intersection of Natural Language Processing (NLP) and climate change. The workshop aims to discuss how NLP methods can be incorporated in climate change science and climate change action. The importance of addressing climate change has been fully adopted by the scientific community. Climate change is reflected in global, national, and local political discussions, corporate reporting, and all sectors of society – resulting in vast amounts of textual data. Despite all that data and potential applications to help mitigate and adapt to climate change, we believe NLP methods to tackle climate change are under-developed. Therefore, the objective of this workshop series is to provide a platform for researchers and practitioners (as well as policymakers and other stakeholders) keen on contributing to the intersection of NLP and climate change. The workshop series aims to shed light on these unique challenges and opportunities for applying NLP techniques to combat climate change. We believe NLP has the potential to support climate mitigation and adaptation action in a way that is considerably faster and more scalable, and ClimateNLP provides a platform to foster discussions about NLP applications in this domain.


# More Info
For more information, please refer to the workshop website: https://nlp4climate.github.io/

# Submission Site
https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/ClimateNLP

We invite long and short papers from Academia, Industry, NGOs and other stakeholders. See the submission guide for more information!

# Key Dates

Most of these dates (apart from the workshop date) are preliminary, and might be still subject to change.

- Direct paper submission deadline: March 1st, 2025 AOE
- Pre-reviewed (ARR) submission deadline: March 25th, 2025 AOE
- Notification of acceptance: April 17th, 2025 AOE
- Camera-ready submissions due: May 16th, 2025 AOE
- Workshop Dates: July 31st or August 1st, 2025

# Topics of Interest
We highlight some topics we think might be of interest. However, this is not meant to be an exhaustive list, and we welcome submissions covering other topics as well! A more detailed list and references can be found on the workshop website.

- All work similar in topics and scope to papers published in the ClimateNLP 2024 workshop.
- Detection and analysis of Environmental Claims
- QA-systems for Climate Change related Information
- Long Document Analysis of relevant documents
- Stance Detection
- Climate change denial classification
- Narratives around Climate Change
- Automated Fact Checking of climate change related claims
- Named entity mapping to asset-level data for spatial finance
- Creation of benchmark datasets for climate and NLP
- Evidence mapping of climate documents: scholarly, corporate, or policy
- Automated knowledge graph creation for climate policy texts
- Analysis of climate-related corporate disclosures with NLP

Please contact the organizers if you have any questions, or if you’re interested in presenting accepted ACL findings papers or other relevant work in our workshop!

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# Organizing Committee
- Alba (Ruiran) Sun, Unversity of Oxford
- Alok Singh, Unversity of Oxford
- Christopher Manning, Stanford University
- Dominik Stammbach, ETH Zurich
- Gaku Morio, Stanford University
- Jingwei Ni, ETH Zurich
- Kalyan Dutia, Climate Policy Radar
- Markus Leippold, University of Zurich
- Peter Henderson, Princeton University
- Saeid A. Vaghefi, University of Zurich
- Tobias Schimanski, University of Zurich
- Veruska Muccione, University of Zurich