Complexity Science Researcher & CAMS Framework Developer
My journey began with a profound question: Why do some societies thrive while others collapse? Traditional approaches seemed to miss deeper patterns in civilizational dynamics.
The breakthrough came when I realized societies, like brains, are complex adaptive systems where institutions interact, learn, and adapt under stress. This wasn't metaphor—it was mathematics.
This led to the Complex Adaptive Model of Societies (CAMS) framework—treating societies as 8-node neural networks with dynamic variables: Coherence, Capacity, Stress, and Abstraction.
I built datasets with 30,856+ data points across 32+ societies, from Ancient Rome to contemporary nations. The patterns revealed predictable trajectories and early warning signals.
CAMS provides practical tools for policy makers, researchers, and citizens to understand and improve human societies using sophisticated mathematical approaches.
I believe in Open Science—all research, data, and tools are freely available. Knowledge belongs to humanity, combining rigorous mathematics with practical application.
Research Inquiries: [email protected]
Repository: github.com/KaliBond/wintermute