👋 Hello! I’m Shuang Song, a postdoctoral researcher at Beijing Normal University.
My research ambit primarily revolves around deciphering the intricate dynamics between human and environmental systems, with a keen focus on the evolving interplay of human-water relationships.
At the heart of my current investigations is the utilization of the social-ecological system (SES) framework for environmental governance, complemented by advanced methodologies in complex system modeling, particularly agent-based modeling.
Beyond research, I’m an adept Python developer and have crafted the open-source package ABSESpy
, a tool designed to enhance the simulation capabilities for real-world SES scenarios.
Learn more about me through the below materials:
Ph.D. of Physical Geography, 2018-2023
Beijing Normal University
2nd Major of History Study, 2015-2018
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.