报告人：刘艳（香港中文大学 教授）

时间：2026年5月20日（周三） 9:30-11:00

地点：测绘馆206报告厅

报告简介：

The advent of Spatial Data Science 2.0 marks a paradigm shift in geographic analysis, driven by the deep integration of AI, big data, and foundational spatial thinking. This convergence moves beyond traditional mapping and statistical modeling toward intelligent, data-driven geospatial discovery capable of addressing complex urban and environmental challenges. This talk explores how AI-enhanced algorithms process heterogeneous data to reveal dynamic spatial patterns. Key applications include modeling urban growth under climate and land-use policies, analyzing social interactions in dynamic urban spaces, and using social media data to understand population health. Critical challenges—data privacy, algorithmic transparency, model generalizability, and equitable access to computational resources—will be discussed, alongside future opportunities in explainable AI, privacy-preserving analytics, and human-in-the-loop frameworks that combine machine intelligence with human geographic intelligence.

报告人简介：

Professor Yan Liu is Professor of Geographical Information Science and Dean of General Education at Lee Woo Sing College of the Chinese University of Hong Kong, an Honorary Professor at the University of Queensland, Australia, and an Adjunct Professor at Tongji University. She is a Quantitative Human Geographer and Spatial Data Scientist, specialising in GIS, spatial analytics and modelling, and computational social science research. She has been recognized as amongst the World’s Top 2% Scientists by Stanford University since 2020. She is a Fellow of the Royal Geographical Society (UK), an Executive Member of the IGU Applied Geography Commission and of the Computational Social Science Lab at CUHK, and served at the College of Experts of the Australian Research Council.