Chuan Chen

Chuan Chen is a researcher at the Technical University of Munich, affiliated with the Chair of Cartography and Visual Analytics. His work focuses on the intersection of Geospatial Artificial Intelligence (GeoAI), Explainable AI (XAI), Causal Inference, and Visual Analytics, aiming to improve the interpretability and policy relevance of spatial modeling.

Research Interests include responsible AI applications in urban contexts, population distribution modeling, and frameworks for transparent decision-making using geospatial analysis. His studies emphasize ethical AI, causal mechanisms, and spatial representation.

Recent publications highlight his contributions to geospatial modeling, AI ethics narratives, and urban sustainability. He applies explainable AI to frozen ground analysis, population distribution predictability, and AI risk decoding from news data.

Teaching includes courses like Image Analysis for Mapping (M.Sc., since 2022) and Mapping for a Sustainable World (M.Sc., 2023 Summer). He supervises master theses and seminars on AI ethics and global-scale visual analysis.