SOCIETAL HEALTH SIMULATOR

Waveframe Labs
DOI
ORCID
License: CC BY-NC-SA 4.0

An interactive, AI-assisted web tool that explores a toy model of societal health.
⚠️ This project is for exploration and demonstration only — not forecasting or policy use.
It also serves as a case study in reproducibility and validation using the Aurora Workflow Orchestration (AWO) and Continuous Research Integration (CRI).

wrightsocietalmodel.com

The conceptual model is based on a scalar progress function:

P(t) = (R ×ばつ E ×ばつ C)^α ÷ (I ×ばつ D)^β

where:

• Fairness of Resources (R) — distribution of food, housing, income, healthcare
• Education Quality (E) — access to quality education and critical thinking
• Social Trust (C) — cooperation and trust among people
• Government Instability (I) — higher = more chaotic/corrupt institutions
• Misinformation (D) — higher = more fake news and propaganda
• α, β — exponents tuning nonlinear sensitivity

Note: The current web version implements a simplified scoring system (linear averages of positives and negatives). The full equation is reserved for future iterations.

This deliberate imperfection demonstrates how AI-assisted work can be logged, validated, and iteratively improved.

• Interactive sliders for the five key drivers
• Instant feedback on societal status (thriving, struggling, or collapsing)
• Historical presets (Ancient Rome at Peak, Great Depression USA)
• Designed as a portfolio-grade example of transparent AI+human orchestration

(The deployed site runs from an internal app build; this repo hosts documentation and licensing.)

If you reference this simulator in academic or public work, please cite the repository.

Shawn C. Wright
AI-Assisted Researcher | Developer of the Societal Health Simulator

• ORCID: 0009-0006-6043-9295
• Email: (swright@waveframelabs.org)

This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license (CC BY-NC-SA 4.0).
See LICENSE for details.

Prototype — live at wrightsocietalmodel.com.
Development is ongoing, with future work focusing on equation fidelity, dataset integration, and reproducibility testing under AWO/CRI.

This simulator follows Waveframe Labs’ principles of transparent scientific modeling.
While not a full AWO-compliant pipeline, all assumptions are declared explicitly, the model specification is versioned, and future iterations will incorporate formal validation and CRI-based testing.

_{© 2025 Waveframe Labs · Independent Open-Science Research Entity}