Special Session 2: AI for Earth Sciences and Complex Systems

● Submission Method: http://www.zmeeting.org/submission/hp3c2026 (Please select special session 2)

Artificial intelligence (AI), particularly deep learning and foundation models, is transforming the way we understand and predict Earth systems, from weather and climate to environmental processes. This special session focuses on cutting-edge AI methodologies tailored for scientific applications, with an emphasis on modeling complex spatiotemporal dynamics, harnessing large-scale pre-trained models, and integrating multi-modal observational data. We also explore critical enabling technologies such as ultra-efficient compression for massive scientific datasets and human-centered evaluation frameworks to ensure that AI-driven insights are both reliable and actionable. By bridging AI with domain sciences, this session aims to accelerate discovery and improve decision-making in the face of increasingly complex environmental challenges.

● Topics of interest include (but are not limited to:
1. AI Applications in Meteorology and Environmental Science
2. Complex Systems and Time-Series Modeling
3. Foundation Models (Large-Scale AI Models)
4. Multimodal Perception and Understanding
5. User Experience and Evaluation
6. Efficient Compression, Storage, and Transmission of Massive Datasets
7. Hybrid approaches: integrating AI with physical models

● Session Co-chair(s):

Assoc. Prof. Chen Hui Nanjing University of Information Science and Technology, Nanjing, China