Neural Nations
You don't need to be an expert.
You just need a question.
Most political analysis describes what societies say about themselves. CAMS asks a different question: how well are they actually coordinating — and in which direction are they moving? This page helps you find the part of the site that's most useful to you.
Curious reader
You found this through a link, a search, or a newsletter, and you want to understand what CAMS actually says about the world — without having to read a methodology paper first.
Practitioner or strategist
You work in policy, organisational risk, strategy, or institutional analysis. You want to apply the model to a real question, not read about it.
Researcher or scholar
You want to engage seriously with the framework — methodology, data, validation claims, or co-authorship. Scepticism is not a problem. It is the point of this platform.
Journalist or writer
You're working on a story about geopolitics, institutional collapse, complexity science, or the intersection of AI and social analysis. Background briefings are available.
What is CAMS? — sixty seconds
Every stable society in history has had to solve the same eight problems: who leads, who defends, who remembers, who legitimises, who produces, who labours, who circulates resources, and who maintains knowledge. CAMS calls these the eight nodes.
Each node is scored on four dimensions each year — how coherent it is internally, how much capacity it has, how much stress it's under, and how sophisticated its planning is. Those scores produce a number. Track that number across decades and you get a trajectory: not a prediction, but a measurable direction of travel.
When institutions stay coordinated under pressure, societies function. When the connections between them fray — when executive leadership loses contact with the economy, or cultural legitimacy decouples from productive capacity — the system starts to behave differently. CAMS is designed to detect that shift before it becomes a crisis.
The dataset currently covers 45 historical series across 38 societies and organisations, from ancient Rome to contemporary Norway to Boeing, with 39,351 node-year records freely available for download.
A note on method
CAMS is a sampling instrument calibrated empirically — not a theory derived from first principles. Kepler mapped planetary orbits with extraordinary accuracy before Newton explained why they moved that way. CAMS is in the same position: consistent retrodictive accuracy, but the formal derivation from first principles is ongoing.
The author is an independent researcher. CAMS has not yet been formally peer-reviewed. The work is published openly so that scrutiny is possible. Rigorous scepticism is not a challenge to this project — it is the point. For a full account of what has been demonstrated and what has not, see the Validation & Limits page →
What's on the site
Still have questions about what CAMS is, whether it's peer-reviewed, what the version labels mean, or what the model can and can't do?
Read the FAQ →