报告摘要：
Climate change and urbanization are both long-term large-scale phenomena. Like many deep-rooted socio-environmental challenges today, disastrous effects result from small yet persistent progressions accumulated over long time (e.g., greenhouse gas emissions, incremental land developments). When fully emerged, the system is already complex and difficult to change. Similar to when a person develops a disease from long-term habits, a successful cure requires both immediate treatments and long-term commitments to better habits, lasting human-environment harmony demands enduring transformations of socio-environmental trends. What socio-environmental transformations can generate long-term large-scale social and environmental wellbeing? How to implement such systematic transformations? To answer questions like these, we need agile models with which alternative long-term futures of large-scale human-environment systems can be explored. In this talk, I share our research at UD CEOE, modeling long-term spatiotemporal dynamics of population and urban land change, and investigating large-scale interactions between urbanization and climate change over the 21st century.
个人介绍：
Dr. Jing Gao is a transdisciplinary scholar integrating data science, social sustainability, and climate change. Her research examines long-term, large-scale spatiotemporal dynamics between human population and climate change, using data-driven analysis and modeling. Dr. Gao is an author of the U.S. Fifth National Climate Assessment (NCA5) chapter on “Sector Interactions, Multiple Stressors, and Complex Systems”, an expert reviewer for the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6) Synthesis Report (SYR) and Working Group II (WGII) Contribution, and a recipient of the National Science Foundation’s (NSF) Faculty Early Career Development (CAREER) award. She is an Assistant Professor in the College of Earth, Ocean & Environment (CEOE) at the University of Delaware (UD), affiliated with Geography, Data Science, Computer Science, and Environmental Engineering.
