INTERNATIONAL SYMPOSIUM: MICROFLUIDICS, NANOTECH & AI + INNOVATION SCHOOL, AUSTRALIA [2026]
INVITED/CONFIRMED SPEAKERS
COMMITTEES (IN FORMATION)
SYMPOSIUM SESSION 1: FRONTIERS IN MICROFLUIDICS
SYMPOSIUM SESSION 2: FRONTIERS IN NANOTECHNOLOGY
SYMPOSIUM SESSION 3: AI FOR RESEARCH AND PUBLISHING
SESSIONS 1-3: MICROFLUIDICS, NANOTECH & AI
Sessions 1–3 at a Glance
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S1 — Microfluidics: Droplets, Capsules & Lab-on-a-Chip (Day 1–2)
Format: Oral talks only (15–20 min) + extended Q&A; optional demos. No posters. -
S2 — Nanotechnology, Nanomaterials & Nanodevices (Day 3)
Format: Oral talks only (15–20 min) + extended Q&A; technology showcases where suitable. No posters. -
S3 — Ethical AI Tools for Research & Publishing (Day 4)
Format: Tutorials, method talks, and workflow demos with live Q&A. No posters.
Venue & Dates
Venue: To be confirmed, Brisbane, Australia
Dates: January–February 2026 (exact dates to be announced)
Time zone: AEST (UTC+10)
Audience: Professors/PIs, Postdoctoral Researchers, PhD Candidates, R&D companies, Government/Policy makers, Journal editors/publishers
Presentation language: English
Invitation
We are pleased to invite you to Brisbane, Australia, for the International Symposium on Microfluidics Frontiers — a focused gathering where microfluidics, nanotechnology, and ethical, AI-enabled research and publishing intersect to accelerate discovery and strengthen reproducibility in science.
This unique event will feature three complementary thematic tracks:
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State-of-the-Art Microfluidics – droplets, capsules, lab-on-a-chip platforms, and frontier applications.
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Nanotechnology Frontiers – nanomaterials, nanomachines, and quantum-enabled nanosystems.
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Ethical AI in Research – tools that accelerate discovery, connect minds, and set new standards for reproducibility and scholarly impact.
Why attend?
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Present your latest work to an engaged, interdisciplinary audience.
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Discover emerging technologies before they hit the mainstream.
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Build lasting partnerships across academia, industry, and start-ups.
📢 Call for Abstracts is Now Open – Submit your contribution and join the conversation that’s shaping the future of science.
Program at a Glance (final agenda to follow)
Plenary Opening (TBD) — A keynote synthesising recent breakthroughs and unresolved challenges at the frontiers of microfluidic platforms, nanotechnology & nanodevices, and AI-enabled laboratory workflows—framing how these fields intersect to accelerate discovery, improve reproducibility, and deliver real-world impact.
Session 1 — Microfluidics, Droplets, Capsules & Lab-on-a-Chip
Focus: New physics, device architectures, validated applications, robust methods/standards, and translation to practice.
Preferred contributions (examples): droplet & digital microfluidics (flow-focusing; pico/nanolitre control; sorting/merging/splitting; barcoding; high-throughput screening); encapsulation & capsules (emulsions; microgels; Janus/core–shell particles; stimuli-responsive carriers; on-chip synthesis); bio-microfluidics & organ-on-chip (single-cell workflows; tissue interfaces; point-of-care diagnostics; clinical validation); chemical & materials microreactors (continuous-flow catalysis; crystallisation; nanoparticle growth; reaction engineering; scale-out); sensing, imaging & metrology (high-speed/label-free/quantum-enhanced readout; calibration standards; uncertainty quantification); fabrication & materials (soft lithography; 3D printing; surface chemistry; antifouling; manufacturability and reliability); reproducibility & open methods (shareable datasets; reporting checklists; benchmarks; negative results that refine practice).
Format: Oral talks only (15–20 min) + extended Q&A; optional instrument/software demonstrations.
Session 2 — Nanotechnology, Nanomaterials & Nanodevices
Focus: Breakthroughs in synthesis, characterisation, devices, and applications of nanoscale systems; integration with microfluidics, AI, and quantum technologies.
Preferred contributions (examples): novel nanomaterials (quantum dots, topological materials, strain-engineered nanomembranes, 2D materials); nanodevices (nanosensors, NEMS, integrated lab-on-nanotube/graphene platforms); nanomachines & nanomotors (catalytic, biohybrid, field-controlled systems; autonomous motion; chemotaxis/gradient sensing); energy & optoelectronics (plasmonics; photonic crystals; light–matter coupling at the nanoscale); biomedical & environmental (targeted delivery; biosensing; pollutant detection/remediation); fabrication & scalability (advanced lithography; self-assembly; additive manufacturing; hybrid integration with microfluidics); quantum-enabled nanotechnology (quantum sensing; coherence-aware metrology; prospective room-temperature quantum effects).
Format: Oral talks only (15–20 min) + extended Q&A; technology showcases/demonstrations where appropriate.
Session 3 — Ethical AI Tools for Research & Publishing
Focus: Practical, end-to-end workflows that speed discovery while meeting authorship and integrity standards.
Preferred contributions (examples): literature discovery & mapping (semantic search; citation graphs; gap-finding; living reviews/knowledge bases); data analysis & modelling (reproducible notebooks/pipelines; active learning/experimental design; uncertainty-aware inference); drafting & collaboration (responsible LLM use; versioning; attribution; CRediT/ORCID contribution tracking); visualisation & figures (principled schematics, data graphics, visual protocols); integrity & compliance (AI-use disclosure; plagiarism/AI-text checks; alignment with ICMJE/WAME/COPE guidance); video-based publications (methods capture; narration standards; audit trails; transition from text-only to visual records).
Format: Tutorials, method talks, and workflow demonstrations with live Q&A.
Call for Contributions
Eligibility: Professors/PIs, Postdocs, PhD Candidates
Tracks: S1 Microfluidics • S2 Nanotechnology • S3 Ethical AI Tools
Modes: Oral talks only (research, perspective, method/demo). No poster sessions.
Abstract: ≤300 words + optional one figure/schematic; include 3–5 keywords, preferred mode, and a short bio.
Slide guidance: 16:9 format; label units/uncertainties; disclose data/code availability.
Demonstrations (optional): Limited slots; indicate AV/power/safety needs (see “AV & Demonstrations”).
Abstract Submission & Participation
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Abstract deadline: 30 October 2025
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Symposium dates: January–February 2026 (exact dates to be announced)
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To present: No full paper required; an abstract and short biography suffice for program consideration.
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Selection criteria: Scientific quality; methodological clarity; relevance to session themes; reproducibility/standards; potential for cross-disciplinary impact.
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Review model: Single-blind; program committee plus guest editors.
Registration & Publication Model
Organizer: NanoTRIZ Innovation Institute (Australia).
Publishing partner: SciViD – The Publisher of Video Science, an open-access venue with an independent Editorial Board.
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Registration fee: USD 600 — covers full onsite participation, all sessions and invited talks, coffee breaks, and cultural activities.
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Optional publication (included): Authors may submit a Short Communication, Mini-Review, or Video Science Paper to the SciViD Symposium Proceedings Special Collection. If accepted after independent peer review, a DOI will be assigned and the article will be published open access at no additional cost.
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Editorial independence: All editorial decisions are handled by SciViD’s independent board; the Symposium organizers do not participate in acceptance decisions.
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Visa letters: Official invitation letters for Visitor Visa Subclass 600 are issued by NanoTRIZ upon paid registration or confirmation of an accepted talk. (No immigration advice provided.)
What your fee supports: venue hire, audiovisual equipment, event logistics, catering, cultural activities, and the advancement of open-access science through our collaboration with SciViD.
Submissions Overview
We run a talk-first model with optional publication via SciViD. No poster sessions.
Stage 1 — Talk Abstract (required to present)
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Abstract (250–300 words; optional 1 figure/schematic; 3–5 keywords; short bio) • Status: Non-archival; used for scheduling and the online program • Templates & Portal: To be announced
Stage 2 — Optional Publication (SciViD Proceedings Special Collection)
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Path A — Short Communication (≤4 pages) using the official Word template (methods/results snapshot or perspective) • Independent editorial assessment; selected works may undergo external peer review • Outcome: If accepted, DOI + metadata; potential inclusion in SciViD Special Collection: Symposium Progress 2026.
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Path B — Mini-Review (optional Video Science Paper) for “talk-only” contributors without new data • Editorial handling; external peer review as applicable • Outcome: If accepted, DOI + metadata; potential inclusion in the Special Collection.
Practical Information
Registration categories: PI/Faculty, Postdoc, PhD Student, Industry Leaders, Government, Editors/Publishers
Visa letters (Subclass 600): Issued upon paid registration or accepted talk + chosen publication path.
Accessibility: Please indicate any accessibility needs during registration (mobility, hearing/visual assistance, dietary).
Code of conduct: Respectful, inclusive engagement is required; harassment/discrimination will not be tolerated.
Sustainability: Digital programme by default; venues with public-transport access; reusable bottles/cups encouraged.
Industry Participation (Session 3 — Research and Publishing with AI)
We welcome industry sponsors and invite AI/tooling companies relevant to Session 3 to propose product/technology talks (e.g., AI research tools, LIMS/ELN, reproducibility platforms, scientific video tooling).
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Industry presentations: Require registration and payment unless the company is a symposium sponsor.
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Sponsorship packages: Branding, exhibition space, and optional product demonstrations. Custom packages available on request (limited slots).
Format Flexibility
The event is currently planned as a single-track symposium to maximize interaction among all participants. In the case of high attendance and broad topic interest, the format may be expanded into a multi-track conference. In this case, we will issue a Call for Special Session Chairs to lead dedicated thematic tracks, each featuring 5–6 invited presentations within the conference scope.
AV & Demonstrations
Standard AV: 16:9 projection, lectern mic, handheld mic for Q&A, HDMI/USB-C (please bring adapters).
Audio/video in slides: Test during the speaker check-in window (details in the final agenda).
Demonstrations: Limited space/power (AU 230 V); submit equipment list and safety notes in advance.
Recording: Sessions may be recorded for archive/educational use. Attendance implies consent to incidental appearance. You may opt out of having your own talk recorded by notifying the organisers in advance.
Industrial Advisory Board
The Industrial Advisory Board brings together leaders from high-tech companies and research-driven industries to bridge the gap between cutting-edge science and real-world applications. Board members provide strategic guidance on aligning the symposium program with industry needs, facilitate collaboration between academia and business, and help identify opportunities for technology transfer, joint projects, and innovation funding. Their participation strengthens links to the private sector, attracts corporate partners, and helps secure resources and sponsorship to ensure the success and impact of the event.
Payment & Participation
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Cost coverage: Registration fees support venue hire, audiovisual equipment, catering, technical support, event logistics, cultural activities, and open-access science
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Presenting authors: Must register (USD 600). Publication is optional and subject to independent peer review.
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Talk allocation: One talk per registration; one additional talk may be added for an extra fee.
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Certificates of attendance: Available on request (CPD recognition subject to your institution).
Registration Categories & Fees
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Onsite participation (Academia/Research): USD 600 (includes access to invited talks and optional SciViD DOI publication upon acceptance)
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Online participation (live + recordings): to be announced
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Student/early-bird policies: to be announced
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Group rate (5+ from one institution): to be announced
Publication in the SciViD Conference Proceedings
Participants of the Symposium/Conference can publish their work in the official SciVid Conference Proceedings — a peer-reviewed, video-based scientific journal where each paper receives a DOI, is archived for long-term access, and is indexed for global discoverability.
Refund & Deferral
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Online participation: Full refund up to 7 days before the start date (written request required).
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Onsite participation: Non-refundable due to venue/logistics commitments; deferral to a future cohort or transfer to online may be requested.
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Presenter substitution: Allowed from the same institution up to 72 hours before the event.
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Tax invoices/receipts issued. GST details provided at checkout.
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If the event is cancelled or materially changed by the organiser, eligible attendees are entitled to a refund. Nothing here limits your rights under the Australian Consumer Law.
Terms & Conditions
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Organiser & eligibility: NanoTRIZ Innovation Institute (Australia). Student rates require current student status.
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What fees cover: venue, AV, logistics, catering (onsite), training materials, and access to recordings (where offered).
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Speaker policy: All speakers register under the standard fee (USD 600). Publication is optional and independently peer-reviewed by SciViD conference proceedings: Each registration covers one oral talk (additional talk available for a fee).
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Program changes: Speakers/timing may change; suitable replacements will be sought.
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Force majeure: Event may convert to online; onsite tickets convert to online access with a prorated credit for a future cohort.
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Visa letters: Issued after paid registration or accepted talk; no immigration advice; visa outcomes not guaranteed.
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Recordings & IP: Presenters retain IP in their materials; obtain permissions for third-party content.
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Data & privacy: Data used for event administration; sponsor visibility is opt-in only; no sale of personal data.
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Health & safety: Follow venue/local regulations; attendees should carry appropriate insurance.
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Governing law: Queensland, Australia.
Privacy (APPs)
We comply with the Australian Privacy Principles. Our Privacy Policy explains what we collect, why, how long we retain it, any overseas disclosure (and to whom), how to access/correct your data, and how to manage communications. Sponsor visibility is opt-in only.
Contact
Email: founder@nanotriz.com
Phone: +61 494 042 578
NanoTRIZ Innovation Institute, Brisbane, Australia
ABSTRACT DEADLINE 30 OCTOBER 2025
CALL FOR PAPERS - CONFERENCE PROCEEDINGS
POST-SYMPOSIUM CO-AUTHORSHIP & AI PUBLISHING SPRINT
Subtitle: Ethical AI for Responsible Research Publishing • 12–15 PD/CPD Hours • Optional Peer-Reviewed Path
Location: Brisbane, Australia — [Dates TBC, 2026]
Time zone: AEST (UTC+10) Language: English
Onsite format: Informal meetups only (no additional venue hire)
Purpose
Produce a draft scientific paper or a video-abstract + text package using ethical AI workflows, while building collaborations through informal, self-organised meetups and optional cultural days (Sunshine Coast / Gold Coast).
Mentorship: Led by Professor Alexander Solovev (former Harvard academic; Guinness World Record in Nanoscience; Australian Global Talent; IOP Emerging Leader; DSM Award; Humboldt & 1000 Talent Fellow).
Publication Pathways (optional)
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No conference proceedings will be produced. Participation does not require publication.
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Internal Review (free): Editorial screening → SciVid Digital Library (no DOI).
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Peer Review + DOI/Indexing (optional fee, payable only upon acceptance): Independent peer review; DOI assignment; indexing/archiving.
(Or submit to another journal using the same package.)
PD/CPD: 12–15 hours earned in live online blocks (documented on the certificate).
Roles & Teaming
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Professors: Senior mentors/co-PIs; lead peer feedback; scope & ethics oversight.
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Postdocs: Project leads; rigour, reproducibility, figure/data integrity.
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PhD: Primary drafting/analysis; literature maps; references.
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Undergraduates: Literature curation; figures/storyboards/video tasks; data tidying.
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All: Comply with ethical AI rules (disclosure, attribution, no fabrication; human authors are responsible).
Indicative 10-Day Flow — Single-Base (Gold Coast/Sunshine Coast • TBD)
Onsite format: All in Byron Bay. Meetups use informal public/hotel spaces; no additional venue hire required. (If you later prefer to book a room for a few hours, you can—this flow still works.)
PD/CPD: Only the online live blocks count toward the 12–15 hours.
Day 1 — ONLINE (Live) | Orientation, Ethics & Authorship
Kickoff; team formation; ethical AI (authorship, disclosure, bias/integrity); SciVid model (internal vs peer review; DOI/indexing).
Deliverables: Ethics checklist (draft); CRediT roles; shared workspace set-up.
Day 2 — BYRON BAY (Informal) | Welcome Coffee & Collaboration Circles
Local welcome; scope definition with professors/postdocs; question refinement; evening barbecue by the beach/park.
Deliverables: One-page project charter (aims, data/resources, risks).
Day 3 — ONLINE (Live) | Literature Intelligence & Gap Discovery
Tools (examples): Elicit, ResearchRabbit, Consensus/Litmaps, Scite. Citation maps; gap statement.
Deliverables: Annotated map + 200–300-word gap summary per team.
Day 4 — BYRON BAY (Informal) | Co-Author Matchmaking & Method Storyboards
Mentor “office hours”; roles finalised; methods/figure storyboard; video-abstract shot list.
Deliverables: Methods storyboard + figure list (with responsibilities).
Day 5 — BYRON BAY (Optional, self-funded) | Cultural Networking Day
Local cultural walk (e.g., lighthouse/shoreline) or short hinterland outing; cohort discussions.
Deliverables: Updated outline + reference plan (ZoteroBib / Paperpile / SciWheel).
Day 6 — ONLINE (Live) | AI-Assisted Outlining, Drafting & Integrity
Outline → sections → paragraphs; reference hygiene; provenance notes.
Deliverables: Draft Introduction/Background + Methods skeleton; provenance log.
Day 7 — BYRON BAY (Informal) | Draft Sprint & Mentor Drop-Ins
Focused writing sprint; professor/postdoc feedback loops.
Deliverables: Results/Discussion sketch; first figure/diagram draft.
Day 8 — BYRON BAY (Optional, self-funded) | Partner Meetups & Collaboration Planning
Informal meetups with visiting partners/industry; future co-authorship planning.
Deliverables: Collaboration MoU (short note) or next-steps list.
Day 9 — ONLINE (Live) | Visuals, Video-Abstract & Editorial Readiness
Figure polish (BioRender / Mind the Graph / Canva AI); video-abstract script/voiceover/captions; QC (Writefull/Trinka/iThenticate); response-to-reviewers templates.
Deliverables: One polished figure + video-abstract script (or 60–90 s draft clip); submission checklist.
Day 10 — BYRON BAY (Informal) | Closing Meetup, Peer Review & Certificates
Peer-review circle (SciVid criteria); finalise submission plan (journal, track, deadlines); certificate remarks.
Deliverables: Near-final manuscript or video+text package + cover letter draft.
Logistics: Exact meeting points/times for Byron Bay gatherings are posted in the cohort channel. Online sessions carry the PD/CPD hours; onsite time is collaboration & networking only. Optional cultural activities are self-funded.
Outputs & Next Steps
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Primary output: Draft manuscript or video-abstract + text package (with cover letter).
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Certificate of Completion: Issued by NanoTRIZ Innovation Institute, listing 12–15 PD/CPD hours.
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Recommendation letters: Possible for outstanding, verifiable contributions (instructor discretion).
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Submission options: SciVid Internal Review (free) • SciVid Peer Review (optional fee, on acceptance) • or other journals.
Fees & Publication Model
Program Tuition
$0 (no cost).
The 10-day sprint is tuition-free. Participants earn 12–15 PD/CPD hours via live online blocks and receive a certificate upon meeting completion criteria.
Covered (free): Live online PD/CPD sessions, mentor group guidance, cohort workspace, certificate issuance, coordination of informal meetups.
Not covered (self-funded): Cultural/networking days (Sunshine/Gold Coast), meals, local transport, accommodation, visas/insurance, and any third-party platform fees.
Grant note: Even with free tuition, participants can typically charge business travel associated with the symposium/meetings to grants or departmental funds where allowed. Leisure costs are never charged to grants.
SciVid Publication Options (Optional)
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Internal Review (Free): Editorial screening; accepted articles appear in the SciVid Digital Library (no DOI).
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Peer Review + DOI/Indexing (fee on acceptance only):
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Students: AUD 350
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Academic (PhD/Postdoc/Faculty): AUD 650
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Industry/R&D: AUD 950
Waivers/Reductions: Need-based waivers (e.g., LMIC institutions) and lab/department bundles available.
Optional add-ons: Video editing/production support (e.g., AUD 200 basic; AUD 600 pro).
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Editorial independence: Training is free and separate from publishing. Fees are charged only upon acceptance. Editorial decisions are independent of program participation.
Funding & Allowability Statement
This program is structured professional development (PD/CPD) in AI-assisted scholarly publishing. It includes online live training (12–15 hours), mentored capstone work, certificate issuance, and coordination of informal meetups. Optional cultural/networking activities are self-funded and not included in tuition. Participants typically charge business travel (but not leisure) to grants or departmental funds where allowed by sponsor/university policy.
PD/CPD Hours Breakdown (for approval forms)
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Day 1 (Live): Orientation, Ethics & Authorship — 2.0 h
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Day 3 (Live): Literature Intelligence & Gap Discovery — 3.0 h
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Day 6 (Live): AI-Assisted Outlining & Drafting — 3.0 h
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Day 9 (Live): Visuals, Video-Abstract & Editorial Readiness — 3.0 h
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Mentor check-ins / office hours (online, optional) — 1–4 h
Total recorded PD/CPD: 12–15 hours (documented on the certificate).
Attendance & Completion (certificate criteria)
To receive the Certificate of Completion (12–15 PD/CPD hours) participants must:
(a) attend ≥75% of live online contact hours (attendance logs kept), and
(b) submit a capstone (draft manuscript or video-abstract + text) plus a submission plan.
Onsite meetups are informal and do not count toward PD/CPD hours.
Invoice / Receipt Language (for DOI option only)
If accepted under Peer Review + DOI:
Invoice line: “SciVid Peer-Reviewed Publication Services — DOI registration, editorial handling, indexing/archiving (payable upon acceptance).”
Currency: AUD Supplier: NanoTRIZ Innovation Institute ABN: 60 349 600 938
Note: Training program was tuition-free; cultural/networking activities are self-funded.
Integrity, Privacy & Accessibility
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Academic integrity & AI ethics: AI tools may support literature analysis, drafting, visuals, and video creation; human authors remain fully responsible for accuracy/originality. Significant AI use must be disclosed; AI systems are not authors. Participation does not guarantee acceptance; editorial/peer-review decisions are independent.
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Recording & privacy / GDPR: Online sessions may be recorded for enrolled participants; personal data used only for program administration, certification, and essential communications; stored securely; no sale of personal data; EU data requests honoured.
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Editorial independence / COI: The mentor is affiliated with SciVid; all submissions are reviewed independently per editorial policy; reviewers recuse in any conflict of interest.
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Code of Conduct: Zero tolerance for harassment or discrimination.
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Accessibility: Please advise us of any accessibility needs; reasonable adjustments will be made for online delivery and meetup coordination.
Visa Note (for onsite travellers)
International attendees typically use Visitor Visa (Subclass 600) for short scientific activities. Invitation letters are available to eligible registrants after registration (and symposium payment, if applicable). We do not provide immigration advice and do not guarantee outcomes. Visa conditions vary; stays of up to three months may be permitted.
Institutional Justification (copy/paste)
“I will participate in a 10-day hybrid Co-Authorship & AI Publishing Sprint led by Professor Alexander Solovev. The program provides 12–15 hours of online PD/CPD in ethical AI publishing, literature mapping, drafting, figure/video workflows, and editorial readiness, culminating in a manuscript or video-abstract + text. Onsite time in Brisbane is informal collaboration and networking (with optional, self-funded cultural days), clearly separated from tuition. This constitutes professional development and conference-related training, not leisure.”
Call to Action: Enrol / register interest — founder@nanotriz.com (subject: 10-Day Sprint – Brisbane 2026). Need paperwork for your admin office? Request our 2-page PD/CPD syllabus (hours, outcomes, assessment) and sample certificate.
It is recommended to apply early, as visa processing times can be substantial
INDUSTRY PARTNERS ARE INVITED TO PRESENT AI FOR ACADEMICS
AI THEMATIC TEAM INVENTION ENGINE
Unlike general chat assistants, this engine is purpose-built to accelerate innovation. It ingests licensed/open scholarly and patent corpora, constructs topic graphs, and detects under-explored linkages relative to prior art. Combining semantic mapping, IP landscape analysis, and inventive principles, it produces hypothesis-ready research blueprints:
(1) concise gap statements and opportunity maps,
(2) candidate mechanisms and concept variants,
(3) minimal viable experiments, data needs and risks, and
(4) IP/readiness notes (prior-art clusters, provisional freedom-to-operate signals, suggested collaborators/equipment).
All outputs carry provenance trails (citations, time stamps, confidence tags) so teams can verify and adapt them.
Ethics & limitations. Sources respect publisher terms and user licences.
Results do not guarantee novelty, patentability, or acceptance — expert review and validation are required.
CROSS-DOMAIN DISCOVERY WITH AN AI TOOLCHAIN
A systematic AI toolchain can support the entire research arc — from question to validated result — by chaining complementary tools rather than relying on any single model. Semantic search and citation-graphing map the literature and patents; claim extraction and trend analysis surface gaps.
Analogy and idea engines propose candidate mechanisms and variants. Active-learning and Bayesian design tools suggest minimal viable experiments, while code notebooks and AutoML assist with analysis under version control for full reproducibility.
Large-language models help draft and revise with provenance, contribution tracking, and disclosure; visualization tools convert data into clear figures; IP-landscape scanners flag prior-art clusters; collaborator/equipment matchers identify feasible partners. At each step, outputs carry citations, assumptions, and confidence tags for human review — yielding evidence-linked, testable hypotheses rather than unchecked recommendations.
Systematic AI Across the Research Lifecycle (Research Phase)
Problem Framing
Use semantic discovery and citation-network mapping to reveal how a field is organised, which concepts co-occur, and where discourse is thin. Topic modelling and trend analysis prioritise questions with momentum, while standards/ethics scanners surface relevant reporting norms, data formats, and constraints that should shape the study from the outset.
Evidence Synthesis & Landscape Mapping
Deploy literature and patent miners to extract claims, methods, datasets, and contradictions. Deduplication and quality scoring reduce noise; knowledge-graph builders link entities (materials, variables, readouts) so gaps and potential “white spaces” become explicit. The result is a citable evidence landscape with confidence tags — not a heap of PDFs.
Hypothesis Generation & Study Design
Apply analogy engines and TRIZ-inspired heuristics to propose mechanism variants and control conditions consistent with the mapped evidence. Design assistants turn these into structured study plans — assumptions, variables, measurable outcomes, and acceptance criteria — so downstream stages inherit a clear rationale and test plan.
Experiment Planning & Optimisation
Use active-learning and Bayesian-optimisation planners to suggest minimal yet informative runs, updating recommendations as results arrive. Power-analysis and sensitivity tools right-size the design; feasibility checkers align proposed runs with instrument limits and sample budgets. The goal is fewer, more decisive experiments—not brute-force search.
Data Capture & Management
Adopt electronic lab notebooks/LIMS integrations to attach rich metadata, environment snapshots, and versioned code to each dataset. Automated QC detects outliers, missingness, drift, and sensor faults at ingest. FAIR-aligned templates keep data and methods findable and reusable across the team and over time.
Analysis & Inference
Use validated statistical/ML pipelines with built-in uncertainty quantification and robustness checks (cross-validation plans, ablation, leakage detection). Provenance graphs trace every result back to the exact code, parameters, and inputs, enabling one-click regeneration, auditability, and stress-testing of conclusions.
Visualisation for Insight
Leverage visualisation assistants to recommend chart types matched to data/claims, test for perceptual pitfalls, and generate accessible figures with alt text and colour-blind-safe palettes. Storyboarding tools align plots with hypotheses and acceptance criteria, reducing rework and keeping interpretation faithful to the data.
Integrity, Reproducibility & Compliance
Run originality checks on protocols, statistical-reporting audits, and data/ethics confirmations before any external sharing. Environment capture, checksumed datasets, and containerised pipelines make reruns deterministic. Risk/ethics modules flag safety, privacy, or animal/human-research compliance issues early, with change-logs for every deviation.
Collaboration & Resource Matching
Use collaborator/equipment matchers to identify labs, instruments, and datasets that fit the design constraints (e.g., throughput, resolution, field strengths). Task orchestration tools coordinate roles, timelines, and hand-offs so each stage starts with the artefacts it needs and nothing falls between the cracks.
Continuous Learning Loop
Monitoring agents watch preprints, patents, and datasets mid-study; if new evidence shifts priors or reveals pitfalls, the system proposes design tweaks and updated experiment queues. Lessons learned — successful or not — are captured as structured knowledge, shortening the next cycle from question to validated result.
In-Silico Simulation & Digital Twins
Leverage physics-informed machine learning and surrogate models to emulate complex systems, enabling rapid virtual experiments before wet-lab work. Digital twins produce synthetic datasets for sensitivity analyses, probe boundary limits, and stress-test hypotheses under real-world constraints.
Systematic AI Across Academic Drafting & Publication
Planning & Scoping
Use scoping assistants to translate your research aims into a structured brief: target audience, core claims, required evidence, and likely venues. Policy scanners surface relevant reporting guidelines (e.g., CONSORT, PRISMA, ARRIVE), data-sharing expectations, and ethics statements so drafting starts aligned with journal norms—not retrofitted at the end.
Outline & Argument Architecture
Outline generators turn the brief into a hierarchical plan (title → claims → sections → paragraphs → figures). Argument-mapping tools test logical flow, label premises vs. evidence, and highlight gaps or redundant sections. This produces a stable “story spine” that guides all contributors and prevents scope creep.
Evidence-Grounded Drafting
Citation-aware drafting assistants insert and format references as you write, link sentences to sources, and warn if a claim lacks support. Retrieval-augmented writing keeps facts anchored to verified passages (with page/line pointers), reducing hallucinations and saving hours of manual cross-checking.
Language, Tone & Readability
Style controllers adapt tone to the venue (technical, clinical, methods-first), maintain term consistency, and enforce plain-language summaries where needed. Readability and bias detectors flag overly complex sentences, hedging, or unintended claims, while multilingual aids support authors writing in a non-native language—without changing scientific meaning.
Referencing & Citation Management
Reference managers with AI import, deduplicate, and normalise records; format conversions (APA/IEEE/Vancouver) and journal-specific styles are applied automatically. In-text citation auditors catch mismatches, missing DOIs, broken links, and retracted sources; reference-graph tools propose must-cite prior art to strengthen positioning.
Figures, Tables & Visual Narratives
Figure planners align each visual to a specific claim and dataset, propose appropriate chart types, and generate draft captions that state the finding, method, and uncertainty. Table builders auto-check units, significant figures, and footnotes; accessibility checks add alt text and ensure colour-contrast compliance.
Originality, Attribution & Integrity
Originality pipelines combine paraphrase-risk analysis, citation coverage checks, and similarity screening to reduce (not “guarantee zero”) plagiarism risk. Attribution helpers insert quotation markers where verbatim text is appropriate and prompt for citations on close paraphrases. Provenance logs preserve prompts, sources, and model versions so AI use is disclosed and human authorship remains accountable.
Authorship, Contributions & Compliance
Contribution trackers (e.g., CRediT-style roles) map who did conceptualisation, methods, analysis, drafting, and supervision. Checklists verify conflicts of interest, funding statements, data/code availability, and ethics approvals. An “AI-use” note is auto-generated, distinguishing tool assistance from intellectual authorship in line with contemporary editorial policies.
Journal Fit & Formatting
Venue-matchers score fit based on scope, recent topics, typical article length, and methodological expectations. Template kits then conform the manuscript to house style: section order, heading levels, reference style, word/figure limits, and graphical abstract specs—preventing desk rejections due to formatting.
Submission, Peer Review & Revision
Submission packagers assemble cover letters, highlights, author statements, and repository metadata; they validate file types, figure DPI, and anonymisation for double-blind review. During peer review, response assistants align point-by-point replies to reviewer comments with tracked changes, regenerate affected figures/tables from source code, and maintain a clean audit trail across versions — shortening cycles and preserving scientific fidelity.
Guiding principle: at every stage, AI augments — not replaces — scholarly judgment. Outputs carry citations, assumptions, and confidence so editors and reviewers can verify the chain of evidence, while authors retain control over interpretation, originality, and accountability.
THE PROGRAM INCLUDES A TRIP TO THE GOLD COAST
