The past decade has seen tremendous growth in data science thanks to its wide applications in solving real-world problems and extracting actionable insights. This course delves into the use of big data to address pressing issues in our rapidly changing climate. Participants will acquire fundamental knowledge across diverse disciplines, including data science, climate science, earth and environmental science, geography, economics, geopolitics, and engineering, while also developing hands-on skills with Python programming and storytelling using Google Earth.
Expected learning outcomes
- Recognize and interpret the diverse and dramatic transformations occurring in the context of climate change
- Grasp essential data science concepts and learn how they apply to interdisciplinary climate research
- Gain introductory and practical experience with tools such as Python and Google Earth
- Develop the ability to think critically, spatially, and inclusively
- Build skills in evidence-based science communication to articulate complex climate issues clearly
Instructor: Xueke Li
Dr. Xueke Li is a research associate in the Department of Earth and Environmental Science at the University of Pennsylvania. Prior to joining Penn, she was a postdoctoral research associate at the Institute at Brown University for Environment and Society (IBES). She earned her PhD in geography from the University of Connecticut. Dr. Li’s research focuses on the dynamics and impacts of climate, air, and water systems, leveraging advanced computational tools, including artificial intelligence (AI), machine learning (ML), remote sensing, and Geographic Information System (GIS). She has authored and co-authored over 50 peer-reviewed publications in collaboration with national and international partners from a wide range of disciplines. Her work has garnered attention from prominent media outlets such as The Hill and the UN Office for Disaster Risk Reduction (UNDRR). Dr. Li is also the recipient of multiple grants, including those from the Kleinman Center for Energy Policy at Penn.
