About Nousian

The Open Platform for Scholarly Integrity and Transparent Research.

Mission Statement

Nousian exists to bridge the gap in scholarly publishing by providing an open-access platform where research is judged by its integrity rather than institutional affiliation.

Our mission is to allow anyone to publish scholarly work freely while maintaining rigorous standards of transparency. We operate on the principles of removing financial barriers and providing clear, public disclosures.

How Nousian Works

01. Submission

Authors provide their complete research manuscript, comprehensive metadata, and required integrity reports.

02. Screening

Every submission undergoes automated and manual review of plagiarism levels and AI usage reports.

03. Review

Our team reviews manuscripts for formatting, policy compliance, and technical completeness.

04. Publication

Research is published with its associated integrity data, making the original checks visible to the global community.

Why Nousian Matters

Nousian provides a transparent, accessible platform for sharing scholarly work, particularly for individuals who lack access to traditional publishing channels.

For Students & Applicants

  • Demonstrates independent research initiative
  • Shows academic writing and methodological skills
  • Provides a permanent, citable public record
  • Highlights integrity awareness through disclosed reports
  • Useful for college, graduate school, and scholarship applications

For Independent & Early-Career Researchers

  • Enables open dissemination without publication fees
  • Supports visibility outside institutional journals
  • Allows transparent disclosure of AI-assisted workflows
  • Serves as a portfolio of scholarly output
Research published on Nousian is not peer-reviewed and should be presented as independent or pre-publication work when used for academic or professional evaluation.

Integrity Policy

Transparency is the cornerstone of our platform. We enforce strict disclosure requirements to ensure the reliability of published data.

AI-generated sections must be clearly cited and used within specific disclosure thresholds.
Plagiarism metrics are calculated against global databases and must stay within scholarly limits.
All submissions are subject to manual administrative review before going live.
Integrity reports are published alongside the research for full public accountability.