I design and maintain governed, deterministic AI–human research systems focused on transparency, reproducibility, and falsifiability.

My work treats research process itself as a first-class scientific object — something that must be specified, constrained, audited, and replayable.

This work is developed under Waveframe Labs, an independent research organization focused on building infrastructure for trustworthy AI-assisted science.

My work is organized as a deliberately layered system:

• ARI — Aurora Research Initiative
  Institutional governance, metadata policy, and epistemic constraints defining what counts as legitimate research output.

• AWO — Aurora Workflow Orchestration
  A formal methodology for governed, AI–human research workflows with explicit roles, artifacts, and traceability.

• CRI-CORE
  A deterministic execution and enforcement runtime that operationalizes AWO constraints and produces auditable provenance.

These layers are designed to be invisible when things go right, and decisive when things go wrong.

I work from a small set of non-negotiable principles:

• Replayability — published results must be re-runnable from code + metadata alone
• Determinism — identical inputs and environments must converge to identical artifacts
• Provenance — every artifact must carry an auditable lineage of decisions and transformations
• Governance before trust — if a process cannot be constrained, it is not scientifically reliable

If a result cannot be replayed, audited, and independently verified, it does not count as science.

┌───────────────────────────────────────────────┐
│ Neurotransparency Doctrine (NTD)              │
│ Neurotransparency Standard (NTS)              │
│ Epistemic principles & disclosure constraints │
└───────────────────────────────┬───────────────┘
                                │
┌───────────────────────────────┴───────────────┐
│ ARI — Aurora Research Initiative              │
│ Institutional governance & metadata law       │
└───────────────────────────────┬───────────────┘
                                │
┌───────────────────────────────┴───────────────┐
│ AWO — Aurora Workflow Orchestration           │
│ Methodology enforcing governance              │
└───────────────────────────────┬───────────────┘
                                │
┌───────────────────────────────┴───────────────┐
│ CRI-CORE — Execution & Enforcement Runtime    │
│ Deterministic runs, validation, audit         │
└───────────────────────────────┬───────────────┘
                                │
┌───────────────────────────────┴───────────────┐
│ Case Studies / Tools / Outputs                │
│ Waveframe • SHS • Forge (future)              │
└───────────────────────────────────────────────┘

These documents define the epistemic, disclosure, and governance constraints that apply to all research conducted within the Waveframe ecosystem.

Foundational epistemic doctrine defining traceability, cognitive disclosure, and legitimacy in AI–human research.
🔗 https://github.com/Waveframe-Labs/Neurotransparency-Doctrine
Concept DOI: 10.5281/zenodo.17957384

Normative specification defining disclosure requirements, agent roles, and compliance thresholds.
🔗 https://github.com/Waveframe-Labs/Neurotransparency-Specification
Specification DOI: 10.5281/zenodo.17809676

Institutional governance framework defining metadata law, authority boundaries, and artifact validity.
🔗 https://github.com/Waveframe-Labs/Aurora-Research-Initiative
Concept DOI: 10.5281/zenodo.17743096

These components operationalize the above doctrine through enforceable workflows, deterministic execution, and applied research.

Formal methodology for governed, auditable AI–human research workflows.
🔗 https://github.com/Waveframe-Labs/Aurora-Workflow-Orchestration
Concept DOI: 10.5281/zenodo.17013612

Deterministic execution and constraint-enforcement runtime implementing AWO rules.
🔗 https://github.com/Waveframe-Labs/CRI-CORE

Cosmology case study demonstrating governed reproducibility in scientific modeling.
🔗 https://github.com/Waveframe-Labs/Waveframe-v4.0
Concept DOI: 10.5281/zenodo.16872199

Applied systems-science reproducibility testbed for sociotechnical modeling.
🔗 https://github.com/Waveframe-Labs/Societal-Health-Simulator
Concept DOI: 10.5281/zenodo.17258419---

📧 swright@waveframelabs.org
🌐 https://waveframelabs.org
🧭 ORCID: https://orcid.org/0009-0006-6043-9295