Research The Geospatial Intelligent Sensing and Mapping (GISense) Lab at The University of Texas at Austin focuses on Human-centered (Geo)Spatial Data Science to understand human experience at place and develop ethical and responsible geospatial artificial intelligence (GeoAI) approaches. In particular, there are three key research themes of the GISense Lab: an emphasis on place to observe human subjective experiences such as emotion, perception, cognition, personality, and creativity: [Safer Places] [Computational Psychogeography] a recognition of the need to develop ethical cartography and GeoAI methods (e.g., machine learning, deep learning, Generative AI, Stable Diffusion, reinforcement learning) for modeling geographic phenomenon and urban environments: [Future Cartography] a focus on human-environment interactions in urban systems to solve practical problems and inform decision-making processes including but not limited to public health, spatial-socio inequity, housing, and crime: [Equitable Motherhood] For a full list of publications, see Publications. Highlighted Projects Safer Places Can we design and develop a neighborhood that makes residents feel safe? This project leverages street view images, soundscape data, and cutting-edge AI (Computer Vision and Generative AI) methods to measure human multi-sensory subjective place perceptions and examines their outcomes in crime to build safer places. Street view images; Urban Visual AI; Computer Vision; Diffusion model Highlighted articles: [Soundscape2Image] [Safety Perceptual Differences] [Perception Bias and Crime] [Place Perception Review] Equitable Motherhood Can every mother access the maternal healthcare she needs, regardless of her location or background? This project aims to bridge geographic disparities in maternal healthcare by leveraging advanced AI algorithms. We aim to inform health policy and enhance healthcare systems, ensuring equitable support for all mothers. Reinforcement Learning; Maternal health; 2SFCA; Geographic disparity Future Cartography The emergence of AI offers promising opportunities to enhance the mapmaking process and encode human cartographic knowledge and creativity. This project aims to develop the next-generation cartographic methods equipped with AI. The ethical issues will be discussed and addressed as well. Stable Diffusion, Generative AI, GPT Highlighted articles: [AI for Cartography Review] [Map Style Transfer] [Ethics in AI for Cartography]
