About

With this workshop, we want to provide an interdisciplinary forum for discussing research, progress, and challenges in the context of NLP and sustainability. We invite submissions about NLP-based analyses of sustainability-related texts, sustainable NLP models and evaluation practices in general, as well as other related topics. Authors and other participants will engage with each other in a poster session and there will be an interdisciplinary invited talk with an ensuing discussion. Together with the SustainEval Shared Task, this workshop will be co-located with the KONVENS 2025 conference.

Call for Papers

We invite technical, survey, and position papers related to sustainability and NLP, as long (8 page) or short (4 page) papers (plus references and appendices) written in English and formatted according to the ACL stylesheet. Please submit your paper through OpenReview using the following link.

Relevant topics:

  • analyses and classifications of sustainability-related texts (such as company reports, advertisements, legal texts, …)
  • generation of explanations, critiques, summaries, … of sustainability-related texts
  • multimodal models related to sustainability, such as language-vision or climate-impact models
  • question answering in the sustainability/climate context
  • sustainable (e.g. small, efficient) NLP models for other applications/domains
  • sentiment analysis in the sustainability/climate context
  • media and social media analysis with NLP methods in the sustainability/climate context

    • Keynote

    Keynote Speaker

    Dr. Mariana M. de Brito

    Group Lead at Helmholtz Centre for Environmental Research

    Information extraction on climate impacts and adaptation using NLP

    Extreme events routinely cause adverse socioeconomic impacts. Accurately linking these impacts to their climatic drivers is critical for effective risk mitigation, yet structured impact databases remain incomplete and inconsistent. Meanwhile, unstructured text— such as news articles, scientific literature, and government reports—contains rich but underused information on climate impacts. In this talk, Dr. de Brito will explain how we can leverage natural language processing on different text types to infer how floods and droughts impact society. Her approach combines supervised classification models and LLMs to identify reported impacts and adaptation measures. These insights are integrated with biophysical and observational data to better understand how society is affected by extreme events. The talk will also discuss challenges in information extraction and the role of NLP in advancing climate research.

    Important Dates

    Acceptance notification 25.07.2025

    Camera-ready due 15.08.2025

    Workshop @ KONVENS 10.09.2025

    in Hildesheim, Germany (at least one author must be present at the workshop)

    Program Committee

    • Luke Gessler (Indiana University)
    • Kemal Kurniawan (University of Melbourne)
    • Valentin Knappich (Bosch & Universität Augsburg)
    • Yang Janet Liu (LMU München)
    • Fabio Mariani (Universität Augsburg)
    • Siyao Peng (LMU München)
    • Tobias Schimanski (Universität Zürich)
    • Vera Schmitt (TU Berlin & DFKI)
    • Hanna Schmück (Universität Augsburg)
    • Timo Pierre Schrader (Bosch & Universität Augsburg)
    • Laura Vásquez-Rodríguez (Idiap Research Institute)
    • Leonie Weissweiler (UT Austin)
    • Shijia Zhou (LMU München)

      • If you are interested in the topic and would like to help us review, please reach out!

      Program Chairs

      • Jakob Prange, Universität Augsburg: jakob.prange@uni-a.de
      • Charlott Jakob, TU Berlin: c.jakob@tu-berlin.de
      • Annemarie Friedrich, Universität Augsburg
        • Organized by:
        Sponsored by: