Last Updated: August 21, 2026
Maintainer: Robert Vannrox
Canonical Release: v13.0
Overview
This roadmap outlines the planned development and expansion of the Ψ-Ontic Reality Model (ΨORM). It is intended to guide contributors, researchers, and curious minds toward areas where the framework can be refined, tested, and extended.
The roadmap is divided into three phases:
- Completed — What has been achieved in v13.0
- Short-Term (Next 12 Months) — Immediate next steps
- Medium-Term (2–5 Years) — Substantive expansions
- Long-Term (5+ Years) — Visionary goals
1. Completed (v13.0)
The following elements are complete and archived in the v13.0 release:
| Element |
Status |
| Complete ontological hierarchy (Quanta → Garbons → Soul → Consciousness → Vector → Receiver) |
✅ Done |
| All 26 sections drafted and uploaded |
✅ Done |
| Falsifiable predictions (5 core predictions) |
✅ Done |
| Mathematical formalization (qubit toy model, interaction Hamiltonian) |
✅ Done |
| Master index with working links |
✅ Done |
| DOI archiving (10.5281/zenodo.22036494) |
✅ Done |
| AI Policy Statement in CONTRIBUTING.md |
✅ Done |
2. Short-Term (Next 12 Months)
These are the most immediate and actionable next steps. They require experimental design, data collection, and methodological refinement.
2.1 Experimental Protocols
| Task |
Description |
Priority |
| EEG frequency shift protocol |
Design a standardized protocol for measuring frequency shifts (PLV) during intentional thought. |
High |
| Hyperscanning shared experience protocol |
Design a protocol for measuring inter-brain coherence during shared experiences (e.g., meditation, storytelling). |
High |
| Memory retrieval under neural compromise |
Design a protocol for studying memory retrieval during anesthesia, cardiac arrest, or brain injury. |
High |
| Neurofeedback frequency modulation protocol |
Design a protocol for training participants to modulate frequency through neurofeedback, and measuring perceptual shifts. |
Medium |
2.2 Theoretical Refinements
| Task |
Description |
Priority |
| Refine the qubit toy model |
Expand the 2-state model to multi-dimensional configuration space. |
High |
| Formalize the topography model |
Develop the 3D topographic map (X, Y, Z axes) into a quantitative tool. |
High |
| Integrate with existing MWI formalism |
Map ΨORM operators onto standard MWI mathematics. |
Medium |
| Derive coupling constants from data |
Use experimental data to estimate the coupling constants (g0, Γ) in the interaction Hamiltonian. |
Medium |
2.3 Documentation and Accessibility
| Task |
Description |
Priority |
| Create a glossary of terms |
Ensure all key terms are defined and accessible. |
High |
| Create a "Getting Started" guide |
A brief, accessible introduction for new readers. |
Medium |
| Translate into other languages |
Make the framework accessible to non-English speakers. |
Low |
2.4 Memory Research Pathway (Collaborative)
| Task |
Description |
Priority |
| Test anomalous memory retrieval |
Partner with labs studying NDEs or anesthesia awareness to test whether veridical perception during cardiac arrest occurs at rates above chance, controlling for sensory leakage. |
High |
| Quantify neural storage capacity |
Collaborate with computational neuroscientists to model theoretical neural storage limits vs. reported recall fidelity. |
High |
| Pre-register replication attempts |
Pre-register studies to ensure transparency and reproducibility. |
Medium |
| Rule out alternative explanations |
Design experiments to control for distributed coding, neuroplasticity, reconstructive memory, and sensory leakage. |
High |
3. Medium-Term (2–5 Years)
These are substantive expansions that require collaboration, funding, and institutional engagement.
3.1 Experimental Validation
| Task |
Description |
| Run frequency shift experiments |
Conduct controlled studies measuring PLV shifts during intentional thought. |
| Run hyperscanning studies |
Conduct inter-brain coherence studies during shared experiences. |
| Run memory retrieval studies |
Study memory persistence under neural compromise (anesthesia, brain injury). |
| Run neurofeedback studies |
Train participants to modulate frequency and measure perceptual shifts. |
3.2 Mathematical Development
| Task |
Description |
| Full multi-dimensional model |
Expand the formalism to full configuration space. |
| Topography quantification |
Develop a quantitative model of the topography (X, Y, Z axes). |
| Integration with quantum field theory |
Explore connections with QFT and emergent spacetime. |
3.3 Cross-Disciplinary Integration
| Task |
Description |
| Neuroscience integration |
Map ΨORM concepts onto neural correlates of consciousness. |
| Physics integration |
Explore connections with GR, QM, and non-locality. |
| Philosophy integration |
Address the Hard Problem and other philosophical challenges. |
| Psychology integration |
Explore implications for mental health, trauma, and well-being. |
4. Long-Term (5+ Years)
These are visionary goals that extend beyond the current framework.
4.1 Full Experimental Validation
- All five core predictions are tested and validated (or falsified) through multiple independent studies.
- The model is refined based on experimental data.
4.2 Educational Materials
- A complete curriculum for teaching ΨORM at the university level.
- Accessible materials for the general public.
- Training programs for practitioners.
4.3 Applications
- Mental health: Using frequency modulation for trauma recovery and well-being.
- Performance optimization: Using frequency alignment for peak performance.
- Consciousness exploration: Using the framework to explore non-ordinary states.
- Technology: Developing devices for intentional frequency modulation (e.g., neurofeedback systems).
4.4 Community and Governance
- A community of researchers and practitioners.
- A formal governance structure for the framework.
- A peer-reviewed journal dedicated to ΨORM research.
How to Contribute
Contributions are welcome in all areas. See CONTRIBUTING.md for full details.
| Area |
How to Contribute |
| Experimental design |
Submit a proposal via Issues or Pull Request. |
| Mathematical refinement |
Submit a Pull Request with formal derivations. |
| Documentation |
Submit a Pull Request with improvements or translations. |
| Funding and resources |
Contact the maintainer directly. |
Version History
| Version |
Date |
Key Changes |
| v13.0 |
August 21, 2026 |
Canonical complete release |
| v12.3 |
August 20, 2026 |
Added new sections and proposed integrations |
| v12.2 |
August 20, 2026 |
Added master index |
| v12.1 |
August 19, 2026 |
Initial release with DOI |
This roadmap is a living document. It will evolve as the framework grows.