A: This co-authorship program is designed for participants at different stages of their STEM journey, with dedicated tracks for students and for more experienced researchers.

Innovation Summer School (onsite in Brisbane + online mentorship) – for:

• Talented high school students in STEM-focused or extracurricular programs seeking hands-on experience in research and scientific publishing;

• Undergraduate students preparing competitive graduate-school applications and summer research projects.

Online Co-authorship Program – for:

• Graduate students, PhD candidates, and postdoctoral researchers aiming to streamline literature reviews, gap analyses, and manuscript drafting;

• Corporate R&D specialists and industry professionals interested in translating technical work into peer-reviewed publications;

• Early-career and senior researchers adopting next-generation AI workflows and leading interdisciplinary projects;

• Lifelong learners committed to ethical, AI-driven innovation in science.

This structure ensures that each participant learns alongside peers at a similar level while benefiting from expert mentorship and the use of 50+ ethical AI tools for research and publishing.

A: Video‐based scholarly articles integrate peer‐reviewed scientific content with direct visual demonstration, offering several substantive advantages over traditional text‐only publications:

• Enhanced Methodological Transparency and Reproducibility: High‐resolution visual protocols capture precise experimental setups, procedural timing, and instrument handling, thereby reducing ambiguity and facilitating faithful replication across laboratories.

• Accelerated Knowledge Acquisition Across Disciplines: Dynamic demonstrations enable rapid comprehension of unfamiliar methodologies, supporting interdisciplinary adoption and skill transfer in areas such as microfluidics, materials science, and bioengineering.

• Increased Cognitive Engagement and Retention: The integration of narration, live experimental footage, and annotated visuals enhances comprehension and long‐term retention compared to textual descriptions alone.

• Broadened Accessibility and Inclusivity: Visual communication transcends linguistic barriers and, when published in open‐access formats such as SciVid, ensures equitable dissemination of high‐quality methodological knowledge globally.

• Rigorous Scholarly Standards: Each video paper undergoes formal peer review assessing both scientific validity and multimedia fidelity, with DOI registration and metadata integration for indexing and citation tracking.

In summary, video‐based publications augment the scientific record by providing unambiguous, empirically faithful depictions of experimental workflows, thereby advancing reproducibility, accelerating methodological dissemination, and promoting global accessibility in scholarly communication.

A: Co‐authoring a peer‐reviewed video‐format scientific paper demonstrates an applicant’s mastery of advanced research practices and innovative scholarly communication — qualities highly valued by competitive universities. Producing a hybrid video–text manuscript evidences:

• Technical Proficiency and Initiative: Development of a research‐grade video paper requires rigorous experimental design, precise execution, and technical skills in multimedia production (e.g., camera work, lighting, narration). This indicates the ability to translate complex methodologies into clear, reproducible demonstrations.

• Interdisciplinary Collaboration: Such projects often bring together contributors from diverse fields — for example, biology, engineering, and computer science. Coordinating effectively within a multidisciplinary team signals adaptability and leadership potential in modern STEM environments.

• Advanced Scientific Communication Skills: The ability to present research visually and narratively, alongside textual description, demonstrates versatility in communicating to both specialist and non‐specialist audiences — a key competency in academia and industry.

• Documented Research Contribution: A co‐authored paper, particularly when peer‐reviewed and DOI‐indexed (e.g., in SciVid – The Journal of Video Science), provides verifiable evidence of scholarly output that admissions committees can directly evaluate.

• Enhanced Academic References and Portfolio: Supervisors can provide highly specific, evidence‐based recommendations citing the applicant’s contributions to study design, data interpretation, and multimedia dissemination, thereby strengthening the application package.

In summary, participation in co‐authored video‐based publishing demonstrates technical rigor, interdisciplinary collaboration, and excellence in scientific communication — attributes that distinguish applicants in highly selective STEM programs.

A: While many programs address AI ethics or manuscript preparation in isolation, the NanoTRIZ Innovation Academy delivers an integrated, research‐driven approach distinguished by the following:

• Video‐Based Publishing from the Outset: Participants produce hybrid video–text manuscripts for SciVid – The Journal of Video Science (open‐access, peer‐reviewed), ensuring methodological transparency and reproducibility beyond standard text‐only outputs.

• Extended Mentorship with Real Co‐Authorship: A full day of AI‐tool training is followed by a structured, one‐month online mentorship replicating the authentic publishing workflow — from research‐gap analysis to submission.

• Proprietary Semantic‐AI Gap Analysis (in development): Our in‐house AI platform cross‐references publications, patents, researcher expertise, and laboratory infrastructure to identify high‐impact, novel topics.

• Simulated Peer Review with Multimedia Standards: Participants experience SciVid’s dual‐track model, applying editorial and peer‐review feedback to both text and video components.

• Ethical Use of 20+ Advanced AI Tools: Hands‐on training with a curated suite of research tools (e.g., Perplexity, SciSpace, ResearchRabbit, Claude 3, ChatGPT‐4) framed by strict authorship‐integrity and citation guidelines.

• Scalable for Diverse STEM Audiences: Content is adapted for high‐achieving students, early‐career researchers, and industry professionals across disciplines.

• Post‐Program Community & Continuity: Graduates join the NanoTRIZ/SciVid network with access to AI‐tool updates, monthly office hours, and peer collaboration.

By combining methodological innovation, rigorous ethics, advanced AI integration, and sustained mentorship, the program delivers a level of depth and reproducibility not typically found in AI‐ethics or publishing trainings.

Disclaimer: Participation in the NanoTRIZ Innovation Academy’s training or mentorship programs does not guarantee acceptance or publication in SciVid – The Journal of Video Science. All submissions undergo independent peer review and editorial assessment by the SciVid editorial board, which operates separately from the NanoTRIZ training team to maintain academic integrity and unbiased evaluation.

A: Ethical AI use in academic publishing means applying artificial intelligence in ways that preserve research integrity, transparency, and scholarly rigor. Core principles include:

• Full Disclosure & Attribution: Clearly state when, how, and which AI tools were used, including model versions and prompt parameters.

• Originality & Plagiarism Avoidance: Verify AI outputs with plagiarism detection and secure permissions for any copyrighted material.

• Human Oversight & Accountability: Retain full responsibility for all ideas, interpretations, and conclusions; critically review all AI contributions.

• Transparency in Editing: Disclose AI use in grammar correction, formatting, or reference management, and verify factual accuracy after edits.

• Bias Mitigation: Cross‐check AI outputs to avoid systemic biases in literature coverage or representation.

• Data Privacy Protection: Use only compliant AI platforms for sensitive data, ensuring anonymization or explicit permissions.

• Adherence to Policies: Follow all relevant journal, institutional, and funder guidelines on AI usage and authorship.

• Reproducibility: Archive AI‐related code, prompts, and parameters in accessible repositories for verification.

By following these principles, researchers ensure that AI serves as a transparent, accountable, and trusted partner in advancing credible, reproducible scholarship.

A: Following the full‐day workshop, all participants are enrolled in a one‐month online co‐authorship mentorship, during which interdisciplinary teams refine manuscripts under expert supervision. This includes:

• Up to four live virtual sessions for troubleshooting, figure refinement, and text revision;

• Asynchronous collaboration via a secure platform with shared folders, version control, and discussion threads;

• Targeted feedback on both scientific content and multimedia elements (narration, annotations, video editing).

If additional time is required, participants may extend support through a flexible monthly subscription, which provides:

• One‐on‐one consultations with the instructor;

• Incremental review of revised text and video drafts;

• Continued access to the NanoTRIZ/SciVid community for peer exchange and collaboration.

The subscription is pay‐as‐you‐go and can be discontinued at any time, ensuring that researchers at all stages — from high‐school students to senior academics — have sufficient time to produce a high‐quality, peer‐reviewable video+text manuscript.

Disclaimer: Participation in the NanoTRIZ mentorship program does not guarantee publication in SciVid – The Journal of Video Science. All submissions undergo independent editorial and peer review in accordance with academic and ethical standards.

A: The program is open to a broad spectrum of participants, from high‐achieving senior‐high‐school students in STEM tracks to undergraduates, graduate students, PhD candidates, postdoctoral researchers, and early‐career academics. No prior publications are required; however, successful participants typically demonstrate:

• Strong STEM Interest and Curiosity: A genuine enthusiasm for science, engineering, or mathematics, and readiness to learn new methodologies, including AI tools, video production, and collaborative authorship.

• Basic Research Literacy: Familiarity with core scientific concepts, the structure of a scholarly article, and fundamental laboratory or fieldwork practices. Prior course‐based or extracurricular research experience is beneficial.

• Proficiency in English: Ability to read, write, and discuss scientific content in English, as all sessions are conducted in this language.

• Technical Competence: Comfort with computers, including installing and operating common software (browsers, reference managers, video‐editing tools) and following step‐by‐step instructions for AI interfaces. Coding knowledge is not required, though basic file management is advantageous.

We welcome any motivated learner — whether preparing for competitive university admission, seeking advanced publishing skills, or expanding into interdisciplinary research. The essential qualifications are intellectual curiosity, academic motivation, and a commitment to ethical, AI‐driven scientific communication.

A: No. While original laboratory or fieldwork can strengthen a submission, SciVid – The Journal of Video Science accepts diverse formats that do not require wet‐lab experimentation. Eligible categories include:

• Computational or Simulation Studies: Screen‐capture code execution, data‐analysis pipelines, or finite‐element/molecular‐dynamics simulations, with narrated steps enabling full reproduction of the workflow.

• AI‐Assisted Literature Reviews and Gap Analyses: Use AI tools to map citation networks, identify emerging trends, and score semantic gaps. A narrated video outlining search strategies, analytical methods, and key findings can constitute a publishable work.

• Method Development Demonstrations: Present new protocols or software tools (e.g., custom image‐processing scripts, statistical workflows) by showing installation, parameter settings, and representative outputs.

• Collaborative Projects: In partnership with laboratory‐based colleagues, contribute through video production, data interpretation, and narration, while co‐authors supply experimental footage. The final video–text manuscript integrates both procedural and analytical contributions.

In all cases, the core requirement is transparent and reproducible documentation in both video and text — whether derived from physical experiments, computational workflows, or AI‐driven analyses. The emphasis is on clarity, methodological fidelity, and accessibility of the research process, rather than the specific origin of the data.

A: The program does not include a traditional written or oral examination. Instead, the final assessment is the successful completion of a co‐authored video+text manuscript draft.

Participants who:

• Produce a draft that meets SciVid’s internal review criteria, and

• Fulfil all attendance and active participation requirements will receive a Certificate of Completion. This certificate formally recognises proficiency in:

• Ethical application of AI tools in research and publishing

• Collaborative scientific co‐authorship

• The SciVid video‐publication workflow

The certificate can strengthen an academic portfolio, demonstrate next‐generation publishing skills, and provide access to further mentorship or advanced training opportunities within the SciVid community.

A: No. While the Academy provides structured mentorship, advanced AI‐assisted tools, and simulated peer‐review feedback to help participants develop high‐quality manuscripts or video papers, final publication rests on factors beyond our control, including:

• Scholarly Rigor and Novelty: Journals assess methodological soundness, originality, and potential impact; acceptance requires meeting these criteria.

• Editorial and Peer‐Review Judgement: Once submitted (to SciVid or another journal), manuscripts are subject to independent editorial and peer‐review decisions.

• Scope and Fit: Even well‐executed work may be declined if it does not align with a journal’s aims or thematic priorities.

• Revision Responsiveness: Publication often depends on timely and thorough responses to reviewer feedback.

What We Guarantee:

• A completed video+text manuscript draft meeting SciVid’s internal review standards by the end of the workshop and co‐authorship sessions.

• Continued access to mentorship for refining the draft prior to submission, improving its readiness for peer review.

Ultimately, acceptance is determined solely by the chosen journal’s editorial process and reviewer evaluations. The program equips participants with the skills, tools, and a strong draft, but publication cannot be guaranteed.

A: Refunds apply only to online participation. Participants enrolled in the online format may request a full refund up to seven (7) days before the official start date of the workshop by submitting a written request to founder@nanotriz.com. Cancellations made after this deadline are not eligible for a refund, but online participants may request a deferral of enrollment. In such cases, the payment can be applied toward:

• A future cohort of the same program, or

• Another eligible online course offered by the NanoTRIZ Innovation Institute.

Onsite program fees are non‐refundable due to advance venue, equipment, and staffing commitments; however, onsite participants may request to transfer their registration to a later cohort or to an equivalent online program when available.

This policy ensures flexibility for online learners while maintaining the operational integrity of onsite events.