5 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…
Identification of socioeconomic factors influencing global food price security using machine learning
Shan Shan
Global concern over food prices and security has been exacerbated by the impacts of armed conflicts such as the Russia Ukraine War, pandemic diseases, and climate change. Tradition…