
Yongchao Zeng
Yongchao received his Ph.D. in Management Science and Engineering with a research direction in Complex System Modeling and Simulation from the Beijing Institute of Technology (BIT), China. From 2017 to 2018, Yongchao participated in a joint Ph.D. program at the Argonne National Laboratory in the U.S., where he focused on building agent-based models to explore energy technology diffusion dynamics and the impact of environmental policies. Yongchao has a broad interest in Complex System Modeling and uses it as a core methodology that connects multiple interesting subtopics, e.g., complex networks, opinion dynamics, evolutionary game theory, decision theory, optimization algorithms, reinforcement learning, etc.
Currently, Yongchao is working as a modeler in the land use group at IMK-IFU. His work includes collaborative research across the EU Horizon Europe-funded BIONEXT, ForestPaths, and CLIMB-FOREST projects, developing, testing new components of the CRAFTY-Europe model, and exploring pathways that achieve policy goals.
Email: yongchao.zeng@kit.edu
Publications
Exploring outcome-driven policymaking on protected areas with an endogenous institutional model
2025. Journal of Cleaner Production, 501, 145262. doi:10.1016/j.jclepro.2025.145262
Simulating endogenous institutional behaviour and policy implementation pathways within the land system
2025. Ecological Modelling, 501, Article no: 111032. doi:10.1016/j.ecolmodel.2025.111032
Exploring the opportunities and challenges of using large language models to represent institutional agency in land system modelling
2025. Earth System Dynamics, 16 (2), 423–449. doi:10.5194/esd-16-423-2025
Scenario-based policy representative exploration: A novel approach to analyzing policy portfolios and its application to low-carbon energy diffusion
2024. Energy, 296, Art.-Nr. 131202. doi:10.1016/j.energy.2024.131202
InsNet-CRAFTY v1.0: Integrating institutional network dynamics powered by large language models with land use change simulation
2024. Copernicus. doi:10.5194/egusphere-2024-2661