Independent Research Initiative for Reproducible AI–Human Science
Waveframe Labs is a self-directed open-science organization developing reproducible frameworks for AI-assisted reasoning, validation, and discovery.
Our mission is to demonstrate that scientific method can operate independently of institutions — driven by transparent workflows, verifiable artifacts, and continuous orchestration between human insight and machine intelligence.
| Project | Description |
|---|---|
| Aurora Workflow Orchestration (AWO) | Defines the Aurora Method — a reproducible research workflow framework linking AI reasoning with human validation. |
| CRI-CORE | Execution layer that runs AWO workflows deterministically and records immutable audit trails. |
| Waveframe v4.0 | Observer-driven cosmology exploring information-based expansion and entropy-action dynamics. |
| Societal Health Simulator | Modeling framework for systemic progress and societal resilience. |
Waveframe Labs approaches science as a workflow problem, not an institutional privilege.
Every project follows the same reproducible pattern:
Design → Orchestrate → Verify → Publish → Archive
Each phase is logged, versioned, and validated through human–AI collaboration.
| Layer | License |
|---|---|
| Frameworks (AWO, Waveframe) | Apache 2.0 |
| Documentation & Texts | CC BY 4.0 |
| Tooling (CRI Core) | BSL 1.1 → Apache 2.0 after 3 years |
All artifacts are archived under DOI and cryptographically signed for provenance.
- Website: https://waveframelabs.org
- ORCID: 0009-0006-6043-9295
- Email: swright@waveframelabs.org
- Zenodo: (placeholder for org-level DOI)
© 2025 Waveframe Labs · Independent Open-Science Research Entity