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Ethical Standards & Implementation Model

These principles define the ethical framework and structural interactions between the Institute, our Fellows, and Invited Experts (Principal Investigators). Our model is designed to ensure absolute academic integrity, prevent conflicts of interest, and foster genuine scientific innovation.

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1. Academic Integrity & Quality Assurance

  • Merit-Based Guidance: Mentorship and project approvals are granted strictly based on the scientific potential of the project and the candidate’s competence, regardless of financial status. NanoTRIZ acts as a central guarantor to ensure every project possesses legitimate scientific or industrial value.

  • Zero "Gift" Authorship: Mentors and collaborators must fulfill international criteria for authorship through substantial contributions. We strictly forbid the addition of names to research papers in exchange for fees or favors.

  • Contribution Audits: All final research outputs undergo a rigorous internal review to ensure content uniqueness, ethical authorship, and the active prevention of "ghost projects."

 

2. Financial Transparency & Infrastructure Access

  • Purpose of Payments: All financial transactions from participants are strictly fixed subscription fees for access to the Institute’s digital infrastructure. This includes the AI Digital Cabinets, cloud laboratories, computing power, and IP legal support.

  • No "Pay-to-Publish": Payment provides access to technological tools, but it never guarantees a publication, title, or affiliation. Academic outcomes must be earned through rigorous research output.

  • Scholarship Integrity: To ensure socioeconomic status is never a barrier to innovation, the Institute maintains a 100% tuition-waiver policy for its core Fellowship program.

 

3. Unbiased Mentorship (Decoupled Compensation)

  • Eliminating Conflicts of Interest: Direct financial transactions between a student and a professor/mentor are strictly prohibited. Decoupling student payments from mentor income guarantees objective evaluation.

  • Grant-Based Funding: Principal Investigators (PIs) and Invited Experts are compensated via Research Grants, honorariums, or IP-sharing from the Institute’s general fund.

  • Expert Motivation: PI compensation is tied to the quality of project supervision and adherence to research protocols, not to the volume of students recruited.

 

4. Artificial Intelligence & Tech Ethics

  • Human-in-the-Loop: All AI-generated research requires mandatory human verification. Total reliance on "black-box" AI for scientific conclusions without traceability is prohibited.

  • Algorithmic Accountability: Fellows must transparently disclose the use of Generative AI in their methodology to uphold the integrity of the scientific process.

 

5. Intellectual Property (IP) & Ownership

  • Fair Share Commercialization: We operate on a "Contribution-Based Ownership" model. Fellows retain the rights to their original ideas, while NanoTRIZ provides the legal and technical framework to commercialize them fairly.

  • Public Good: Whenever possible, fundamental research findings are shared openly with the global scientific community to foster ongoing innovation.

 

6. Institutional Autonomy & Verification

  • Non-Diploma Mill Policy: NanoTRIZ is explicitly a research institute, not a degree-granting university. To prevent misleading the public or regulatory bodies (e.g., ASIC/TEQSA), we do not issue academic credentials that mimic government-regulated degrees (such as PhDs or MScs).

  • Independent Verification: The Institute maintains a publicly accessible registry of its Fellows and their verified research outputs to protect the integrity of the NanoTRIZ affiliation and prevent fraudulent claims.

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