Editorially screened · Not peer reviewed

AI-assisted
theoretical biology
manuscripts.

AIBioTrXiv welcomes AI-assisted biological research articles and biological ideas from academic authors, independent researchers, and creators outside formal institutions. Every submission remains accountable to scientific accuracy, author responsibility, and transparent credit. An initiative of The Sound of Evolution.

Built for independent biological thinkers.

AIBioTrXiv gives independent researchers, unaffiliated scientists, science writers, builders, and AI-assisted idea creators a visible submission route without requiring institutional backing. Freedom is paired with responsibility: claims must be biologically defensible, references must be traceable, and authors remain responsible for errors. Clearly flawed submissions may be declined before publication.

IR

Independent researchers welcome

Submissions may come from authors inside or outside universities, as long as the manuscript or idea is structured, accountable, and biologically relevant.

AI

AI-assisted and human-generated ideas

Authors may submit AI-assisted research, human-generated biological concepts, or AI-supported product ideas while keeping full credit attached to the author record.

QC

Freedom with scientific screening

AIBioTrXiv is flexible, but it is not a dumping ground. Obvious factual errors, unsafe claims, fabricated references, or unclear authorship can lead to rejection.

What makes this archive different?

AIBioTrXiv is built for ideas that are early, theoretical, AI-assisted, and still accountable to biology.

1

Human responsibility first

AI tools may assist the workflow, but human authors remain responsible for every claim, citation, and conclusion.

2

Testable biological theory

We prioritize explicit assumptions, biological mechanisms, falsifiable predictions, and traceable literature foundations.

3

Screened, not peer reviewed

Manuscripts undergo editorial screening for scope, structure, AI-use transparency, and reference integrity before posting.

How posting works

A simple route from manuscript submission to a public, versioned research record.

Submit structured sections

Authors submit article text, figures, legends, references, AI-use information, and license choice.

Initial check

We check completeness, category, basic structure, authorship information, and required declarations.

Editorial screening

Scope, safety, scientific format, reference integrity, and responsible AI disclosure are reviewed.

Accepted queue

Accepted manuscripts enter a layout workspace where web text and PDF arrangement are checked.

Public posting

Approved papers receive a public page, version number, citation format, PDF, and archive identifier.

Browse by research area

Research areas are selected for AI-assisted theoretical biology, computational model building, and hypothesis generation.