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Departmental Research Seminars Series
Advancing Sense of Place with Human-centered Geospatial Data Science
Date: 12 DEC 2024 (Thursday)
Time: 10:30-12:00 (HKT)
Venue: CLL, Department of Geography, 10F, The Jockey Club Tower, Centennial Campus, HKU
Registration link: https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=97839
Abstract:
Human sense of place refers to how we perceive, experience, and interact with a particular location and environment. The emergence of Geospatial Data Science – the use of geographic knowledge and AI approaches to extract meaningful insights from large-scale geographic data – has achieved remarkable success not only in modeling physical geographic phenomena but also in advancing human subjective experiences at place. In this talk, Dr. Kang will present a series of works that utilize geospatial data science to understand human experience and sense of place. First, by combining street view images and deep learning, his work delved into human subjective safety perceptions (e.g., whether a neighborhood is perceived as a safe place) to model human interactions. Second, utilizing large language models (LLMs), his work proposed a Soundscape-to-Image Diffusion model to visualize and translate human auditory perceptions into visual representations of place. His work demonstrated how human multi-sensory experiences can be linked to comprehensively understand human sense of place using Generative AI. Third, leveraging Generative AI, his work explored the potential opportunities of Large Language Models for understanding place identity. Finally, he will share his multifaceted experiences in GISphere that aim to promote global GIScience education.
Dr. Yuhao KANG
Assistant Professor, GISense Lab, University of Texas at Austin
Dr. Yuhao Kang is an assistant professor, leading the GISense Lab at the University of Texas at Austin. He was a postdoctoral researcher at MIT and received his Ph.D. from the University of Wisconsin-Madison. He had working experience at Google X and MoBike. Dr. Kang’s research mainly focuses on Human-centered Geospatial Data Science, including understanding human subjective experience at place and developing ethical and responsible c (GeoAI) approaches. By leveraging human-centered geospatial data science, Dr. Kang’s work has benefited various applications in public health, real estate, crime, and urban planning. His papers have been published in Landscape and Urban Planning, IJGIS, Cities, PNAS, etc. He was the recipient for several fellowships and awards, including the Young Researcher Award by the Austrian Academy of Sciences, CaGIS Rising Award, CaGIS scholarship, ICA scholarship, etc. Dr. Kang has served as the associate editor of the Computational Urban Science, the editorial board member of Humanities and Social Sciences Communications, etc. He actively contributed to the GIScience community. He founded the non-profit global education project GISphere with over 20,000 members to promote GIScience education.
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