⛈️ Disaster and Hazard Adaptation

  • Compound-Hazard Feasibility Gaps in Climate Adaptation Planning
    Srimonti Dutta and Akshata Kishore Moharir (WAI USA)
  • Data Fragmentation as a Critical Bottleneck in Disaster Response Planning: The EVAC-AI Case Study for Flood Risk Assessment
    Gayatri Ramchandra Vaidya, Yasas Senarath, and Hemant Purohit (George Mason University)
  • What Aggregate Accuracy Hides: A Failure-Mode Analysis of Language-Guided Disaster Segmentation for Mitigation Planning
    Prince Gnan Praveen Alikana, Samruddhi Pradeep Deshmukh, and Hemant Purohit (George Mason University)

🤝 Communities, Health, and Stakeholders

  • Explainable and Robust Representation-Aware Planning for Climate-Health Adaptation in India
    Yajnaseni Dash (KIET Deemed to be University) and Sudhir Chandra Sarangi (All India Institute of Medical Sciences, New Delhi)
  • Recentering Care in Climate Data Work as Integral for Climate AI
    Amelia Dogan (University of Washington), Mingxin Zhang (Global Energy Monitor), Cayla Key, and Lindah Kotut (University of Washington)
  • From Delegates to Trustees: Aligning LLM Planners with Absent Stakeholders in Climate Decision-Making
    Zhangfei Yang (The George Washington University)

⚖️ Climate Policy, Governance, and Economics

  • Can This Climate Plan Actually Be Implemented? Testing Climate Plan Executability under Institutional Constraints
    Srimonti Dutta and Akshata Kishore Moharir (WAI USA)
  • Stress-Testing CBAM under Export Reallocation with RICE-M: A Multi-Agent Reinforcement Learning Climate-Economic Model with MRIO-Calibrated Trade
    Phillip Wozny (Tilburg University), Andrew Williams (Université de Montréal; Mila – Quebec Artificial Intelligence Institute), Koen Ponse (Leiden University), Kai-Hendrik Cohrs (Universitat de València), and Erman Acar (University of Amsterdam)
  • Reinforcement Learning from Ecological Feedback (RLEF): A Framework for Aligning Language-Model Planning with Planetary Boundaries
    Zhangfei Yang and Aizierjiang Aiersilan (The George Washington University)

🕵️ Environmental Monitoring and Sensing

  • Toward Adaptive Planning for Autonomous Glider Observations of Subsurface Marine Heatwaves
    Charlotte Z. Reed, Victor-Alexandru Darvariu (University of Oxford, Oxford Robotics Institute), Helen L. Johnson (University of Oxford, Department of Earth Sciences), and Nick Hawes (University of Oxford, Oxford Robotics Institute)
  • Physics-Guided Multi-Robot Planning for Climate Sensing
    Benjamin Shaffer (University of Pennsylvania), Victoria Edwards (University of New Hampshire), and M. Ani Hsieh (University of Pennsylvania)
  • Planning Wildlife Monitoring Under Ecological Uncertainty: Scenario-Based Sensor Placement for Resource-Constrained Conservation Programs
    Hannah Murray (University of Southern California), Amrita Gupta (Microsoft AI for Good Lab), Arielle W. Parsons, Justin P. Suraci (Conservation Science Partners), and Bistra Dilkina (University of Southern California)

⚡ Energy Systems and Decarbonization

  • AI Planning as Solution and as Consumer: Computational Energy as a Planning Resource
    Ilche Georgievski (University of Stuttgart)
  • MicrogridOS: Agent-Orchestrated Generation of 80% Microgrid Designs for Energy Access
    Vladimir Abdelnour, Nathan Johnson, and James Nelson (Arizona State University)
  • Refined Thompson Learning for Adaptive Bandits: Power-Efficient Flexibility Scheduling Across Data Centers
    Zixi Chen, Yifu Ding, Ruicheng Ao, David Simchi-Levi, and Thomas Magnanti (Massachusetts Institute of Technology)