The Grand Research Institute dedicated to advancing scientific and systems based research across technology, public policy, safety, algorithmic governance, and performance measurement. While originally recognized for groundbreaking work in THC-zero plant research, the Institute has evolved into a broader think tank and innovation lab, addressing real time challenges at the intersection of human performance, AI, and regulatory design.
At its core, the Grand Research Institute builds from a concept known as the Repository of Zero — a systems-level framework that prioritizes:
- Zero assumptions in policy
- Zero impairment as a goal in public safety
- Zero bias frameworks for algorithmic decision making
- Zero point architecture in AI learning and governance
This approach allows for clean slate innovation, combining empirical science with regulatory foresight.
The Institute's foundational research involves natural plant formulations and the development of non-psychoactive (THC-zero) cannabis .Placebo controlled trials ring insights on:
- Natural entourage effects and terpene interactions
- Patient experience with cannabis sativa L
- Real world effectiveness and risk reduction
This phase established a research framework that emphasized human performance, not just biological interaction.
Following early success, the Institute expanded into impairment analysis, particularly in the context of driving, automation, and fatigue:
- Collaborations and findings aligned with research at institutions like the University of Michigan
- Focus on experienced users, tolerance, and real time cognitive/motor performance
- Limitations of blood concentration metrics (e.g., THC levels) highlighted the need for context aware evaluation tools
This work has direct applications in autonomous vehicles, public safety and traffic regulation.
Building on safety and performance research, the Institute entered its next phase: the study of algorithmic systems and platform governance. Examples include:
- Uber, Lyft: Driver and passenger evaluations,point customer scoring systems, AI-driven monitors and policy enforcement
- Tesla and autonomous vehicles: Human machine integration and real time decision mapping
- Drowsy driving, distracted driving, and adaptation curves under digital surveillance
Key concerns include algorithmic bias, worker tracking, and the rise of AI-written policy embedded in platform code itself.
Grand Research Institute’s current work addresses:
- AI and public safety intersections
- System flaws in real-time digital enforcement
- Use of zero-point logic to reset institutional bias
- Global regulatory frameworks for performance based metrics (rather than chemical or categorical labeling)
The "Repository of Zero" includes not just cannabis science, but also policy resets, ethical AI design, autonomous systems, platform justice, and the future of trust in human-technology interaction.
Upcoming initiatives include:
- Creation of zero bias datasets for AI training
- Development of real time impairment diagnostics for law enforcement and medical settings
- Policy collaboration with global regulatory bodies
- New frameworks for AI-authored governance and embedded regulation
- Expanded exploration of zero-basis logic applied to commerce, technology, and law
This repository is intended to evolve with ongoing research. Contributors from fields including AI, law, behavioral science, public policy, and digital platforms are welcome.
Grand Research Institute
David Grand, Founder
grandresearchflorida@gmail.com
Shared under the MIT License unless otherwise noted. Credit original data sources and research when applicable.