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[Call for Papers] Fragile Earth: AI for Climate Sustainability - from Wildfire Disaster Management to Public Health and Beyond

  • 1.  [Call for Papers] Fragile Earth: AI for Climate Sustainability - from Wildfire Disaster Management to Public Health and Beyond

    Posted 06-04-2023 10:37

    [Call for Papers] Fragile Earth: AI for Climate Sustainability - from Wildfire Disaster Management to Public Health and Beyond


    ***************** Fragile Earth @ KDD 2023 Call for papers *****************
    Held in conjunction with the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), August 7, 2023, Long Beach, CA


    Workshop website:


    Key Dates

    • Submission deadline: June 16th, 2023 (11:59 pm AOE)
    • Acceptance notification: June 23rd, 2023
    • Camera ready for accepted submissions: July 7th, 2023

    About the Workshop

    Since 2016, the Fragile Earth Workshop has brought together the research community to find and explore how data science can measure and progress climate and social issues, following the framework of the United Nations Sustainable Development Goals (SDGs). Over the years, Fragile Earth workshop has focused on SDGs. This year we also focus on three other aspects, Wildfire Disaster Management, Environmental Justice and Planetary Health. Nowadays, wildfires pose one of the major natural hazards in the Western United States (especially, California, Oregon, and Washington), Australia, and Mediterranean countries, further sweeping across the developing countries in Africa and resulting in major property damages and human life losses. Both magnitude and severity of wildfires tend to dramatically increase due to the climate change. For instance, as noted by the United National Environment Programme (UNEP), it is expected a 50% global increase in wildfires by 2100. Development of early warning mechanisms and more efficient strategies to extinguish the fire are the key toward mitigating wildfire risks, boosting preparedness against uncontrollable fires, saving human lives, and preventing major economic, ecological and social damages. Environmental Justice can be defined as the effort to "document and redress the disproportionate environmental burdens and benefits associated with social inequalities" (Chakraborty et. al 2016), as well as SDG 13: Climate Action. Planetary Health involves complex spatial–temporal interactions. Various methods in earth data analytics, including spatial–temporal statistics, spatial evolutionary algorithms, remote sensing image analysis, wireless geo-sensors, and location-based analytics, are emerging disciplines in understanding complex interactions in planetary health. 


    Workshop Topics

    The Workshop will target both methodological and applied research agenda within these areas of investigation. The methodological agenda of interest include but are not limited to the integration of physics into data-driven modeling, the use of machine learning to enhance physical simulations, model explainability, uncertainty quantification, privacy and fairness questions in environmental modeling, causal learning in the complex physical world as

    foundations for model trustworthiness, ML applications at low energy edge devices, combining predictive and prescriptive tasks, and multi-agent systems for participatory modeling that integrate stakeholders into knowledge creation and decision processes. The application problems and agenda of interest include the Sustainable Development Goals, accelerating progress on the United Nations' 2030 agenda, envisioning solutions for climate mitigation and adaptation, and measuring and diminishing the inequitable benefits and burdens across socioeconomic groups. In particular, the workshop has maintained a strong focus and community in the following areas: food security, sustainable agricultural practices and supply chains, ecosystem restoration, water management, sustainable energy, climate action and adaptation, socioeconomic equality, and resilience across a broad range of natural disasters such as wildfires, storms, and hurricanes. Fragile Earth Workshop invites ML and AI researchers, social and behavioral scientists, as well as natural scientists and engineers, to convene and discuss interdisciplinary solutions for progress towards.


    Submission Guidelines

    Submission is now open, and we are seeking:

    • full papers (up to 8 pages)
    • position papers (up to 4 pages)
    • 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. Submission link is



    • Naoki Abe, IBM Research AI
    • Kathleen Buckingham, Veritree
    • Yuzhou Chen, Temple University
    • Bistra Dilkina, University of Southern California
    • Emre Eftelioglu, Amazon Inc.
    • Auroop R. Ganguly, Northeastern University, Pacific Northwest National Laboratory
    • Yulia R. Gel, University of Texas at Dallas
    • James Hodson, AI for Good Foundation
    • Ramakrishnan Kannan, Oak Ridge National Laboratory
    • Huikyo Lee, NASA Jet Propulsion Laboratory, California Institute of Technology
    • Jiafu Mao, Oak Ridge National Laboratory
    • Rose Yu, UC San Diego

    Yuzhou Chen
    Assistant Professor
    Temple University