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Call-for-papers: IJCAI 2023 Workshop on Bridge-AI: from Climate Change to Health Equity (BridgeAICCHE)

  • 1.  Call-for-papers: IJCAI 2023 Workshop on Bridge-AI: from Climate Change to Health Equity (BridgeAICCHE)

    Posted 03-17-2023 03:01

    [Call for Papers] The 1st IJCAI 2023 Workshop on Bridge-AI: from Climate Change to Health Equity (BridgeAICCHE)

    ***************** BridgeAICCHE @ IJCAI 2023 Call for papers *****************
    Held in conjunction with the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), August 19-21, 2023, Cape Town, South Africa.


    Workshop website:


    About the Workshop

    The goal of this workshop is to provide an interdisciplinary forum for addressing the critical questions on the role of AI for promoting climate justice, with the particular focus on healthcare applications. The workshop will offer a systematic linkage between the recent methodological advances in AI, climate studies, and health sciences, as well as will explore various fundamental challenges that arise when using AI for evaluating equity in health outcomes due to environmental exposure in developing countries.

    Workshop Topics

    We invite papers in all forms of development and use of AI, machine learning, statistical and other quantitative methods in topics that include: environmental sciences, environmental engineering, environmental monitoring and protection, environmental and climate justice, climate change and health, environmental exposures and health equity, and other relevant topics. Topics of interest include, but are not limited to:

    • Domain-specific metrics for evaluation and integration of AI with environmental, health, and equity data
    • Innovative feature engineering to explore the relationship between urban environment, communities, and health outcome
    • Using and impact of AI on climate change impacts in Africa
    • Assessing AI's impact on greenhouse gas emissions and climate change adaptation
    • Novel analysis and modeling approaches to integration of environmental, health, and equity data
    • Quantifying uncertainty in equity modeling
    • Tackling climate change and environmental justice with machine learning
    • Reducing data bias and increasing explainability of AI models for health and environmental justice
    • Transfer learning from data rich to data poor environments
    • Up and down sampling for data integration across data domains (e.g., health, climate, demographics)
    • Ethical issues of predicting climate change impacts

    Submission Guidelines

    Submissions should be in the form of a 7 pages for the body of the paper and 2 pages for references for proceeding articles, and should be formatted according to the IJCAI conference's guidelines ( All submissions will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance to scope of the conference, originality, significance, and clarity. Submission link is Accepted papers will be presented at the workshop and included in a workshop proceeding. All accepted papers and extended abstracts will be presented as posters. The program committee will select a few papers for oral presentation. There will be a poster session during the scheduled coffee breaks to facilitate and spark discussions amongst attendees. We look forward to your submissions and to seeing you at the workshop. If you have any questions, please feel free to contact the organizing committee.

    Key Dates

    • Submission deadline: April 26th, 2023 (11:59 pm AOE)
    • Acceptance notification: June 1st, 2023
    • Camera ready for accepted submissions: June 15th, 2023


    • Yuzhou Chen, Temple University
    • Jiue-An Yang, City of Hope
    • Marta M. Jankowska, City of Hope
    • Yulia R. Gel, University of Texas at Dallas




    Assistant Professor, Department of Computer and Information Sciences, Temple University
    Visiting Research Collaborator, Department of Electrical and Computer Engineering, Princeton University
    Personal website:

    Yuzhou Chen
    Assistant Professor
    Temple University