Welcome to the SongshGeo Lab - an interdisciplinary research group led by Dr. Shuang Song (宋爽), based at the Max Planck Institute of Geoanthropology. Our team bridges computational modeling, geographical analysis, and historical insights to understand complex social-ecological systems.

We focus on the co-evolution of human society and natural environment, using water as a critical lens to explore:

• Long-term evolution of water management systems (irrigation, flood control, water supply)
• Social-hydrological dynamics in large river basins
• Agent-based modeling of real-world social-ecological systems
• Historical geography and institutional analysis

Our interdisciplinary approach combines:

• 🌊 Social-Hydrology: Understanding water-society interactions across temporal and spatial scales
• 🤖 Agent-Based Modeling: Developing computational frameworks to simulate complex human-nature systems
• 🗺️ Spatial Analysis: Leveraging GIS and remote sensing for geographical insights
• 📜 Historical Geography: Integrating long-term historical perspectives into contemporary challenges
• 🏛️ Institutional Analysis: Examining governance structures and collective decision-making

Current Focus: Yellow River Basin, China - one of the world's most anthropogenically altered large river systems

Agent-Based Social-Ecological Systems Modeling Framework in Python

A powerful open-source framework that makes it easier to build artificial social-ecological systems with real geospatial datasets and fully incorporate human behavior.

Social-Ecological System Analysis and its visualization.

Coupling human and natural system studies to support sustainability in one of the world's most complex river systems. Checkout my publications on this topic.

Academic Note-Taking Workflow

An Obsidian-based workflow designed for researchers to manage academic literature and knowledge. This is a non-academic project, and I am the founder. We are recruiting new members, please get in touch if you are interested in workflow, knowledge management, and research coordination.

We welcome collaboration from scholars and students across diverse disciplines:

• 🌍 Geography - Physical & Human Geography, Hydrology
• 📚 History - Historical Geography, Environmental History
• 💻 Computer Science - Computational Modeling, Data Science, AI Agents
• 🧠 Socio-Psychology - Environmental Sociology, Behavioral Science, Decision-Making

We offer fully remote positions! If you're passionate about interdisciplinary research at the intersection of society and environment, we'd love to hear from you. Short-term visits to the Max Planck Institute and informal joint supervision of domestic students are possible.

• 📖 Publications: Full publication list
• 📘 Documentation: Check individual project repositories for detailed docs
• 🎓 Academic CV: Detailed CV
• 📧 Contact: [email protected]
• 📅 Book a Meeting: Schedule an appointment

Our research leverages modern computational tools:

Core:         Python
Data Analysis: Xarray, Pandas (or Polars), Numpy, Scipy
Modeling:     Any quantitative analysis expertise
Geospatial:   GIS basic
Other strengths: GitHub, AI, Chinese History / Archaeology

• Research Lead: Dr. Shuang Song (宋爽)
• Email: [email protected]
• Location: Max Planck Institute of Geoanthropology, Jena, Germany
• Schedule: Book an online meeting