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Neuronautix · Presentations

Interactive scientific presentations

Hosted slide decks on Home-Cage Monitoring, FAIR metadata, virtual control groups, and preclinical data infrastructure — each a versioned, citable artifact with source provenance.

All presentations

Hosted slide decks

Each presentation is a versioned package: a structured deck, source map, speaker notes, and optional interactive visualizations. Built from the Neuronautix knowledge base.

WellFAIR · COST TEATIME · FAIR + 3Rs + AI/VCG

WellFAIR — FAIR data, the 3Rs, and the road to AI/VCG

Damien Huzard, PhD & Benoit Petit-Demoulière 24 slides · ~45 min

COST TEATIME webinar deck arguing that FAIR data is the substrate that makes the 3Rs operational and the only credible road to AI-assisted research and Virtual Control Groups. Includes live demos of FAIR3R.fr and Metadatapp. Replay on the COST TEATIME YouTube channel; based on the WellFAIR paper (doi.org/10.1016/j.nsa.2026.106998).

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Open science · FAIR · Epistemic trust

fair.md & trust.md — manifests for FAIR data and epistemic trust

Damien Huzard, PhD 13 slides · 10 min

Two root-level Markdown files that make any repository's FAIR posture and epistemic confidence readable in five seconds — for humans and machines alike. Covers the five claim categories, the 0–100 confidence scale, lineage from llms.txt to ClaimReview, and real corpus stats (19 notes · 440 claims · avg trust 74).

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SCAND-LAS 2026 · Metadata as a NAM

Metadata as a NAM — From Data Context to Virtual Control Groups

Damien Huzard, PhD 46 slides · PDF

Invited SCAND-LAS 2026 talk arguing that FAIR metadata should be treated as a New Approach Methodology in its own right — the substrate that turns isolated preclinical data into reusable evidence and credible virtual control groups.

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Knowledge graphs · Ontology · GraphRAG · Embeddings

After the knowledge graph — ontology-grounded LLMs, GraphRAG, and statistical discovery

Damien Huzard, PhD 12 min

18-slide sequel to the May 18 KG-architecture deck — distinguishing graph DB / KG / ontology / GraphRAG, separating evidence-ontology-application layers, calibrating GraphRAG against vanilla RAG, treating link prediction as ranked hypothesis, and running four experiments before any custom model.

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NAMs & FAIR metadata

FAIR Metadata as a New Approach Methodology

Damien Huzard, PhD 10 min

FAIR metadata is the enabling infrastructure that turns isolated preclinical data into reusable, AI-actionable evidence for animal reduction and scientifically credible virtual control groups.

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How it works

Presentation as code

Each deck is generated from the Neuronautix knowledge base, reviewed, and deployed as a versioned artifact. Source provenance, speaker notes, and claim citations travel with every slide.

  1. Step 1Knowledge base retrieval — relevant notes and sources identified
  2. Step 2Presentation brief — audience, duration, core message defined
  3. Step 3Slide outline and spec reviewed before generation
  4. Step 4Deck generated with inline citations and speaker notes
  5. Step 5Human review via pull request before publication
  6. Step 6Hosted at /presentations/slug/ with full source package

Work with Neuronautix

Request a presentation for your event

Neuronautix can prepare a tailored presentation for webinars, conferences, lab meetings, or training sessions. Topics include HCM system selection, FAIR metadata workflows, virtual control groups, and preclinical data infrastructure.