Quantification of Ethical Naturalness — a scientific computational system for measuring integrity, sustainability, and ethical coherence in complex ecosystems.
Explore ModelQEN is a mathematical and semantic framework designed to quantify ethical naturalness within complex systems such as food production, supply chains, digital ecosystems, and AI infrastructures.
It transforms qualitative ethical principles into computable metrics, enabling data-driven decisions aligned with sustainability, transparency, and systemic balance.
Measures ecological coherence, biodiversity preservation, and environmental sustainability.
Evaluates traceability, fairness, labor ethics, and informational clarity.
Analyzes relational consistency across production, logistics, and consumption.
Assesses informational quality, cognitive sustainability, and social influence.
QEN operates as a weighted multi-variable system:
QEN = Σ (wi × Pi)
Where each Pi represents a normalized ethical parameter and wi its dynamic weight. The framework integrates machine learning models to dynamically optimize these weights based on contextual data.
Ethical benchmarking, sustainable menu engineering, neurogastronomy evaluation.
Traceability, environmental optimization, and ethical certification.
Ethical governance models, explainability benchmarking, cognitive alignment metrics.
Urban sustainability, food policy planning, ethical infrastructure assessment.
QEN supports cryptographic certification via DID infrastructure, allowing verified digital proof of ethical performance and sustainability metrics.