Including but not limited to the following contents:
Track 1: Artificial Intelligence and Digital Archaeology
Artificial intelligence-driven prediction and discovery of archaeological sites
Computer vision and artifact identification and classification
Deep learning and typological analysis of archaeological relics
Multimodal AI and integration of archaeological data
Generative AI and restoration and reconstruction of cultural relics
Natural language processing and ancient character recognition
Knowledge graph and archaeological semantic modeling
AI-based landscape analysis using remote sensing and LiDAR
3D modeling and virtual archaeological visualization
Archaeological big data and machine learning
AI ethics and heritage protection
Digital archaeology data governance and FAIR principles
Track 2: Environmental Science
Environmental monitoring and intelligent sensor networks
Climate change and ecological response modeling
Water resource management and water pollution control
Soil remediation and ecological engineering
Aeropollution and air quality modeling
Remote sensing and environmental spatial analysis
Biodiversity and habitat protection
Environmental big data and predictive models
Carbon cycle and carbon neutrality pathways
Environmental risk assessment and management
Sustainable environmental governance
Environmental AI and decision support systems