About
The project & the people
Mission
The Encoded Human Project is an open research initiative working to build rigorous, falsifiable models of how human systems function — across biological, psychological, and consciousness levels of analysis.
The central premise: the patterns running in human beings are not random. They are encoded — through genetics, epigenetics, early relational experience, cultural transmission, and individual learning. Many of those patterns operate below conscious awareness and outside voluntary control.
Understanding which patterns are original, which were installed, and which can be changed is not merely philosophical. It has direct implications for clinical practice, personal agency, and how we design systems that interact with human beings.
All research is published open access under CC-BY-SA 4.0. All claims carry explicit epistemic tags. The work is public because the knowledge should be.
Primary Investigator
Eric Whitney, MD
ORCID: 0000-0000-0000-0000
Eric Whitney is a physician whose work spans clinical medicine, systems thinking, and the intersection of consciousness research with biological science. His practice is grounded in the recognition that human health cannot be fully understood through any single domain of analysis.
The Encoded Human Project emerged from years of clinical observation that standard frameworks — psychological, biological, or spiritual — each capture part of the picture but fail to account for how the layers interact. This project is an attempt to build the integrated model that was missing.
AI Disclosure
AI language models (including Claude, GPT-4, and others) are used in this project for literature synthesis, drafting, knowledge organization, and tool-building. AI is not used as a source of original claims. All factual assertions are grounded in cited primary literature. AI-assisted passages are reviewed by the primary investigator prior to publication.
The knowledge base underlying this project contains 519,000+ indexed chunks drawn from peer-reviewed literature, textbooks, and clinical resources. AI tools assist in retrieving, connecting, and synthesizing this material — but the epistemic judgment about what to claim and at what confidence level remains human.
We believe transparency about AI use is a scientific obligation, not merely a disclosure checkbox. If you have questions about how AI was used in any specific publication, contact us directly.
Publication & Archival
Research from this project is archived and published through free, open-access routes. We do not use paywalled journals.
Zenodo
CERN-operated open repository. DOI assignment, CC licensing, version control.
bioRxiv
Preprint server for biology. Rapid dissemination before peer review.
PCI (Peer Community In)
Free peer review for preprints. Rigorous, open, and without publication fees.