Can civilization become an observable, measurable, modelable, simulatable, and falsifiable field of cumulative inquiry?
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BOOK DETAIL · Civilization Science Series · 01
Foundations of Civilization Science
A New Framework for Understanding, Measuring, and Redesigning Human Civilization
The field-defining volume: a disciplined proposal for moving from civilizational narrative toward explicit concepts, measurable variables, comparative evidence, models, and falsifiable claims.
01
Research overview
Civilization can be studied as a complex adaptive system if its boundaries, variables, evidence standards, uncertainties, and ethical limits are made explicit.
Key concepts
01Civilization as a complex adaptive system02Cooperation structure and trust field03Effective energy and civilizational entropy04Civilization stability equation05Six research pillars06Forty-volume cumulative research plan
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Research architecture
I · Field definition
Research object, scope, boundary, and relationship to established disciplines.
II · System variables
Cooperation, trust, effective energy, entropy, stability, resilience, and continuity.
III · Measurement
From theoretical constructs to indicators, data provenance, uncertainty, and comparison.
IV · Models
Formalization, simulation, historical backtesting, sensitivity analysis, and validation.
V · Applications
Early warning, human–agent coordination, meaning, contribution, and life continuity.
VI · Research governance
Peer review, corrections, open evidence, ethical limits, and cumulative field building.
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Method and evidence program
Open questions for review
- Q1
Can the proposed constructs be measured reliably across different system types and historical periods?
- Q2
Does the stability equation outperform simpler transparent baselines in preregistered tests?
- Q3
Where should the field boundary be narrowed to avoid duplicating or overreaching established disciplines?
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Academic status and limits
This book is a published foundational research output. Its concepts, equations, classifications, and causal claims remain open to independent review, operationalization, counterexamples, replication, and revision.
This volume proposes a field architecture; it does not demonstrate a complete science, universal law, deterministic forecast, or authority to engineer societies.Intended readers
Researchers in complex systems and social science, historians, methodologists, data scientists, AI-governance scholars, institutional partners, and critical reviewers.
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Publication record
Suggested citation
Hu, Aurion. (2026). Foundations of Civilization Science. Civilization Science Series. Amazon Kindle edition. ASIN B0H7FCXXB4.
Errata and version record
No edition-specific public errata file is currently linked. Corrections should identify the edition, location, original text, proposed correction, reason, date, and effect on conclusions.