👋 Hello! I’m Shuang Song, a postdoctoral researcher at the Department of Co-evolution of Land Use and Urbanisation, Max Planck Institute of Geoanthropology.
My research primarily uses water as a link to study the interaction and 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 and its impact on human society in major river basins. I also examine how institutions can influence human-water interaction by changing human society’s adaptation and resilience to environmental changes, thereby contributing to sustainable development.
My approach mainly involves modeling, simulation, and data analysis. I developed the open-source Agent-based Modeling framework for real-world SES simulation ABSESpy
and led PaperBell
, 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. Please contact me 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
I master programming in Python for years. Recently, I work on an open-sourced package ABSESpy
.
I am proficient in using LaTeX for papers.
Proficient in geographic information tools QGIS
and ArcGIS
.
The most classic agent-based modeling software, but I now think mesa
and ABSESpy
are better.
I can analyze raster datasets with popular packages like xarray
, rasterio
, gdal
.
I’m passionate about making beautiful charts.