What is World-Earth Modeling (WEM)?
World-Earth Models (WEMs) connect human decisions with Earth system feedbacks. Unlike traditional Earth System Models (ESMs), they model society and nature as co-evolving systems rather than treating humans as external drivers.
The key difference: Traditional ESMs use fixed scenarios for human behavior, while WEMs simulate how human decisions actually change in response to environmental feedback - and how those changes then affect the environment again.
How WEMs Work
Unlike ESMs, WEMs feature:
- 🔄 Bidirectional coupling: Human decisions affect the environment, environmental changes influence human decisions
- 👥 Dynamic human agency: People adapt their behavior based on what they observe and learn
- 📊 Closed feedback loops: Environmental changes immediately influence future human behavior
- 🌍 Global scale: Simulates these dynamics across the entire planet simultaneously
This creates coevolutionary dynamics where human societies and Earth system processes shape each other over time - something impossible with traditional modeling approaches.
The copan:LPJmL Framework
copan:LPJmL is the first practical framework for building WEMs by combining detailed land system modeling (LPJmL) with flexible social modeling (copan:CORE).
Technical innovations that enable WEM development:
- 🔗 Annual coupling: LPJmL and social processes exchange data every simulation year
- 📊 Three taxon structure: ENV (biophysical), MET (socio-metabolic), CUL (socio-cultural) processes
- 🌍 Global grid integration: Social agents operate on the same 0.5° × 0.5° grid as LPJmL (67,420 cells)
- ⚡ Modular design: Supports agent-based, rule-based, optimization, and AI-enhanced approaches
See our examples for three working WEM implementations that demonstrate these capabilities in practice.
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📚 Examples - See WEMs in action
🔧 Documentation - Technical details
🤝 Community - Join researchers
The first framework to truly connect human decisions with Earth system feedbacks - enabling breakthrough research into coevolutionary dynamics.