👋 Hello! I’m Shuang Song, a postdoctoral researcher at Max Planck Institute of Geoanthropology. I currently serve for two departments: the Department Structural Changes of the Technosphere and the Department of Co-evolution of Land Use and Urbanisation.
My research primarily uses water as a link to study the co-evolution between human society and the natural environment. Based on my interdisciplinary background in Physical Geography and the Study of History, I currently focus on the long-term evolution of water management (e.g., irrigation, flood control, and water supply) and its impact on human society, currently focusing on the Yellow River Basin, China.
My approach mainly involves modeling and data analysis. I developed the open-source Agent-based Modeling framework for real-world SES simulation ABSESpy and led PaperBell team, an academic note-taking workflow for researchers based on Obsidian.
My research is highly interdisciplinary; I welcome scholars and students from Geography, Archaeology, History, Sociology, Computer Science, and Psychology to collaborate. The team offers fully remote positions, feel free to get in touch by email or online meeting.
Learn more about me through the below materials:
Ph.D. of Physical Geography, 2018-2023
Beijing Normal University
Study of History (2nd Major), 2014-2018
Sun Yat-Sen University
B.S. of Physical Geography, 2014-2018
Sun Yat-Sen University
Modelling is only half the work.
Agent-based Social-ecological Systems framework in Python for coupling human-nature research.
Make matplotlib scientific plots use Chinese Song typeface and English Times New Roman.
An Obsidian template vault for tracking your academic life.
A succinct Python project template.