Quanliang Ye
Research Scholar
Sustainable Service Systems Research Group
Energy, Climate, and Environment Program
Contact
Biography
Quanliang Ye is a research scholar in the IIASA Energy, Climate, and Environment Program. His research focuses on environmental impact assessment, climate change mitigation, and climate change policy analysis. As part of this work, he has been conducting in-depth research on the multi-dimensional impacts of climate change on industries and ecosystems. He developed advanced environmental impact assessment models, such as capital endogenous input-output models and system dynamics-based integrated assessment models (IAMs). These models not only combine multidisciplinary theories but also apply big data analysis techniques, thus improving both the accuracy and applicability of environmental impact assessments. His work has been published in a variety of journals, including Nature Communications, Environmental Science & Technology, etc. His ultimate goal is to provide a credible scientific basis for decision making and policymaking in global and national sustainable development.
Before joining IIASA, he obtained a PhD in environmental science from University of Twente in the Netherlands. After that, he worked as a postdoctoral researcher at Aalborg University in Denmark and Radboud University in the Netherlands. He has been contributing to a number of national and international climate-related projects, including the EU Horizon project WorldTrans and the Danish national project Getting The Data Right. He is also a member of the Youth Editorial Board of Carbon Footprints journal, and a review editor for Frontiers in Environmental Science.
At IIASA, he works on the WorldTrans project and the CHOICE project. He aims to integrate behavioral factors into the FeliX model to model behavior changes in both dietary and energy domains. This integration involves regionalization of the FeliX model to account for the socioeconomic and cultural differences between geographic regions, improving the quantification of behavior changes in both domains based on the norm and value changes.
Last update: 20 FEB 2025