Fragile Earth 2025

Call for Papers

Fragile Earth: Innovative AI For Climate Risk Mitigation is a workshop taking place as part of the ACM’s KDD 2025 Conference on research in knowledge discovery and data mining and their applications (August 3-7, Toronto, Canada). The workshop will be a full-day event on August 3, 2025 which is part of a KDD “Fragile Earth” Workshop series, running since 2016.

Submission is now open, and we are seeking:

• full papers (up to 8 pages)

• position papers (up to 4 pages), and 

• policy notes (up to 2 pages). 

Accepted submissions will have papers and videos archived on the Fragile Earth website, but will not be included in the official KDD Proceedings. Authors will not be asked to assign copyright or rights to future submission elsewhere by participating in this workshop.

We will give priority to work that clearly measures and shows potential for impact in achieving the United Nations Sustainable Development Goals (SDGs) in an open and equitable manner. 

SUBMIT HERE: OPENREVIEW-SUBMISSION-LINK 

All submissions should use the standard ACM Proceedings templates.

DEADLINE: July 7, 2025, 11:59:59 PM Anywhere on Earth (AoE)

Notification Date: July 14, 2025

List of Topics

The Workshop will target both methodological and applied research agenda within these areas of investigation.

• • The methodological topics of interest are relevant areas of KDD, including but not limited to:

    • generative and foundational models in the context of climate change and sustainable development

    • diverse datasets and knowledge integration

    • secure and trustworthy generative and foundational models

    • the integration of physics into data-driven modeling and the use of machine learning, generative and foundational models to enhance physical simulations

    • model explainability, uncertainty quantification, privacy and fairness questions in environmental modeling 

    • integration of symbolic and neural machine learning for accurate and interpretable machine learning, generative and foundational models

    • causal learning in complex physical world as foundations for model trustworthiness 

    • sustainable computing paradigms for generative and foundation models

    • ML applications at low-energy edge devices

    • frameworks for helping the scientific and KDD communities to work together 

    • combining predictive and prescriptive tasks

    • multi-agent systems for participatory modeling that integrate stakeholders into knowledge creation and decision processes

    • geometric and topological deep learning for environmental modeling and assessment of environmental justice 

  • Domains of interest include but are not limited to:

    • wildfire analytics: detection, prediction, and discovery; wildfire smoke and environmental fairness

    • Disaster resilience – urban climate resilience planning, landslide risk assessment, ecosystem vulnerability assessment, biodiversity monitoring and conservation

    • food security, sustainable agricultural practices and supply chains, ecosystem restoration, water management, sustainable energy, climate action and adaptation and, socioeconomic equality, and disaster resilience

    • wildfire analytics: detection, prediction, and discovery; wildfire smoke and environmental fairness

    • innovations in data science and predictive modeling, applied to earth sciences 

    • investigations centering sustainability, including but not limited to environmental justice

    • data-informed climate change and resource management policy discussions

    • carbon removal technologies

    • easily usable and publicly available data+model+frameworks (possibly challenge problems) based on satellite/drone data  to monitor and predictively model the fragile earth

    • natural catastrophes under a changing climate ranging from improved modeling to development of resilient infrastructures

    • economic/quantitative characterization of climate change risk and associated incentives towards policy/decision making.

  • Any other topics related to the themes of the workshop are welcome!