Kaihui Song is a Postdoctoral Scholar working on the interactions between human and environmental systems, particularly focusing on climate challenges and solutions. Her research develops models and datasets for subnational climate actions, including emission inventories at the city and community level and emissions embedded in international and domestic supply chains. She applies data-driven approaches on large-scale datasets to analyze carbon inequality, local climate impacts, urban sustainability, and explore opportunities for renewable energy in a just low-carbon transition to support effective and equitable climate policies. Kaihui obtained her Ph.D. in Geography from the University of Maryland, College Park, and a Master of Science degree in Natural Resources and Environment from the University of Michigan.
Research Groups:
RAEL (Renewable and Appropriate Energy Lab – Kammen)
Curriculum Vitae:
https://drive.google.com/file/d/16THURJPSEVkb2UEvECzvdc6AcccnCqX7/view?usp=sharing
Contact: