Talks

Working talk archetypes and methodology material. Each archetype below is a complete run-of-show with named units, named quotes, and substitutions for common contexts. Methodology docs sit below as reference.

What's actually deployed

Spine: vendor-sweep
Duration: 45 min (35 min talk + 10 min Q&A)
Audience: mixed public, students (no agritech background)
Region: Global, with a Canadian anchor at the close
Depth: literate (avoid taxonomy jargon; introduce 2-3 terms in context)

Who's your data working for

Spine: data-sovereignty
Duration: 45 min (30 min talk + 15 min Q&A — Q&A is load-bearing for this talk)
Audience: farmer co-ops (Ontario-anchored), mixed public with some producer presence
Region: Canada (Ontario-anchored), with EU-Netherlands comparison and US comparison
Depth: working (introduce taxonomy terms in context; the audience knows farming, may or may not know the AI policy landscape)

Canada lags and that's the story

Spine: adoption-diagnosis
Duration: 20 min (15 min talk + 5 min Q&A)
Audience: policy advisors, sector leadership (FCC, AAFC, provincial agriculture ministries), industry-association leadership
Region: Canada (national), with peer-country comparison
Depth: specialist (full taxonomy fluency; the audience knows the policy landscape)

The cooperative alternative

Spine: cooperative-alternative
Duration: 60 min (45 min talk + 15 min Q&A)
Audience: policy, cooperative-organisation leadership, academic (especially agricultural-economics / political-economy / STS audiences)
Region: EU-Netherlands (JoinData) + EU-France (La Ferme Digitale, GAIA) + US (NAPDC), with comparative reference to Indigenous-led frameworks
Depth: specialist (full taxonomy fluency; the audience knows cooperative theory or is willing to learn)

Critical lens: Indigenous sovereignty and the structural critique

Spine: critical-lens
Duration: 60 min (45 min talk + 15 min Q&A)
Audience: academic (especially STS, political-economy, food-sovereignty, Indigenous-studies), policy advisors working on AI governance / data rights, civil-society researchers
Region: Global framework, with operational anchors in Peru (ONAMIAP-IWGIA Indigenous Navigator), Canada (FNIGC, CARE Principles co-development), Aotearoa New Zealand (Te Mana Raraunga), and Mexico
Depth: specialist (full taxonomy fluency; the audience knows critical agrifood-tech discourse)

How countries shape their agrifood AI cluster: a regional comparison

Spine: regional-cluster-comparison
Duration: 60 min (45 min talk + 15 min Q&A)
Audience: academic (STS / political-economy / agrifood-tech studies), policy advisors working on national AI strategies, comparative-political-economy researchers, critical-civil-society researchers
Region: All clusters including EU-cluster-pattern cooperative-AI cluster-with-three-structures (added July 19 2026 — Spanish cooperative AI peer-reviewed-led + Mondragón-anchor + emerging-single-coop deployment) — with MENA three-sub-pattern now refined to five-cluster-pattern observation
Depth: specialist (full taxonomy fluency; the audience knows multiple regional contexts or is willing to learn)

Methodology

Reference material that supports the archetypes.