👋 Hello! I’m Shuang Song, a postdoctoral researcher at Beijing Normal University and Max Planck Institute of Geoanthropology. My research primarily uses water as a link and modeling as an approach to studying the interaction between human society and the landscape and environment as an intertwined social-ecological system (SES). Based on my interdisciplinary background in history and geography, I construct agent-based models (ABMs) for water-related issues, simulating agents’ interaction within given institutional and environmental settings across different temporal (e.g., centuries and millennia) and spatial scales (regional and global). I also examine how institutions can influence this interaction by changing human society’s adaptation and resilience to environmental changes, thereby contributing to sustainable development.
Beyond research, I’m an adept Python developer and led open-source projects ABSESpy
, a ABM package for real-world SES simulation; and PaperBell
, a note taking system for academic research based on Obsidian.
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.