Process
Methodology
This page documents how BrainMatter content is researched, written, reviewed, and maintained. It is the operational counterpart to our editorial policy.
01
Topic selection
We map the field of intelligence research — AI, AGI, cognitive neuroscience, neurotechnology, neurodivergence — and prioritize topics with high reader demand and high evidence density. Selection is editorial; we do not pay-for-coverage.
02
Evidence review
Each topic begins with a literature scan across NIH, CDC, PubMed, Nature, Science, arXiv, and the relevant institutional reports. We weight evidence by study design, sample size, replication, and consensus position of major scientific bodies.
03
Drafting
Articles are drafted to a fixed structure: definitions, neuroscience or technical foundations, current state, implications, frequently asked questions, and a sources block. The structure is designed for both human readers and machine parsing.
04
Scientific review
Drafts touching clinical, neuroscientific, or technical claims are reviewed by the BrainMatter Science Review Board before publication. Reviewers verify that claims map to the cited sources and flag overreach.
05
Structured data
Every published article emits Article, FAQPage, and BreadcrumbList JSON-LD so its claims are machine-readable. This makes BrainMatter content easier to find via AI search engines, voice assistants, and answer-engine queries.
06
Maintenance
Articles are reviewed at least annually and after any material change in the underlying science. The dateModified timestamp on each article reflects the most recent substantive update.
