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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:
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.