Principles
- Clear attribution from the start.
- Authorship agreements before work begins.
- Open science when possible. Data and methods shared unless privacy requires otherwise.
- Disagreement is welcome. TEG-Blue is a hypothesis, not a creed.
- No collaboration requires belief. Only willingness to engage seriously.
How to start
- Read the research entry page. Understand what TEG-Blue is and what is being tested. Start Here →
- Identify which lane fits your expertise: Measurement, Prediction, Intervention, or AI Safety.
- Send a short email with your background, which lane you want to contribute to, and what you would test or critique first.
The four research lanes
You do not need to validate the entire system. Pick the lane that matches your expertise.
Lane A — Measurement and recognition
Help test whether the Four-Mode Gradient can be reliably detected in natural language.
Lane B — Prediction and prevention
Help map escalation pathways and design prediction models for harm trajectories.
Lane C — Navigation and intervention
Help identify which interventions support movement from Control back toward Connection.
Lane D — AI alignment and structured schemas
Help translate emotional pattern logic into forms AI systems can read safely.
What collaboration looks like
Most collaborations begin with a short conversation to clarify:
- What you want to study or test
- What data, tools, or access you need
- What authorship and attribution looks like
- What timeline and scope are realistic
We respond to every serious inquiry.
What we can offer
- Access to existing datasets (anonymized conflict narratives, emotional gradient data)
- Theoretical consultation on framework design and interpretation
- Co-authorship opportunities on replication and extension studies
- Acknowledgment and attribution for critique, corrections, and improvements
- Open access to all published materials (CC BY-NC-SA 4.0)
What we need
See Start Here for detailed research needs. The short version:
Contact
Send a short message with your background, which lane you want to contribute to, and what you would test or critique first.
research@teg-blue.org