4 papers
ClimateAgents: A Multi-Agent Research Assistant for Social-Climate Dynamics Analysis
Shan Shan
The complex interaction between social behaviors and climate change requires more than traditional data-driven prediction; it demands interpretable and adaptive analytical framewor…
Reflexive Evidence-Based Multimodal Learning for Clean Energy Transitions: Causal Insights on Cooking Fuel Access, Urbanization, and Carbon Emissions
Shan Shan
Achieving Sustainable Development Goal 7 (Affordable and Clean Energy) requires not only technological innovation but also a deeper understanding of the socioeconomic factors influ…
Computational Architects of Society: Quantum Machine Learning for Social Rule Genesis
Shan Shan
The quantification of social science remains a longstanding challenge, largely due to the philosophical nature of its foundational theories. Although quantum computing has advanced…
From Correlation to Causation: Understanding Climate Change through Causal Analysis and LLM Interpretations
Shan Shan
This research presents a three-step causal inference framework that integrates correlation analysis, machine learning-based causality discovery, and LLM-driven interpretations to i…