Sunday, June 14, 2026
17:30–21:00
Icebreaker BBQ on campus lawn
Informal networking before the main programme.
Monday, June 15, 2026
08:00–08:30 · 30 min
Arrival, coffee, and informal networking
08:30–08:45 · 15 min
Welcome and workshop objectives
- Overview of goals, structure, programme of the two days, and expected outputs
08:45–10:25 · Session 1 (100 min)
Foundations: scope, methods, and data landscape
08:45–09:45 · 60 min
Presentation 1 — Invasive species — a paramount problem affecting natural and agricultural systems
- Global scope and impacts on ecosystems and agricultural productivity; trends, examples, and policy relevance, gaps, and challenges
- Q&A and exchange
09:45–10:25 · 40 min
Presentation 2 — Current methodologies, databases, and modelling approaches
- Advantages, obstacles, and limitations of databases, monitoring, modelling, and decision tools
- Includes Q&A and exchange
10:25–10:55 · 30 min · Break
10:55–12:30 · Session 2 (100 min)
AI innovation for invasive weed management
10:55–11:35 · 40 min
Presentation 3 — AI innovation for invasive weeds
- Emerging AI/ML, remote sensing and computer vision, predictive modelling, and decision support
11:35–12:15 · 40 min
Presentation 4 — Industry perspectives and trends — AI at scale
- Large-scale AI platforms, data infrastructures, challenges and lessons
12:15–12:30 · 15 min
Plenary Q&A and brief synthesis
12:30–14:00 · Lunch · 90 min
14:00–16:40 · Session 3 (160 min)
Challenges and gaps in current tools and technologies
14:00–15:00 · 60 min
Working group 1 — Submitted Questions
- Groups on themes such as data and databases; modelling and forecasting; AI and remote sensing; policy and decision support
- Capture challenges, questions, gaps, quick wins, and long-term needs on shared templates
15:00–15:25 · 25 min · Break
15:25–16:25 · 60 min
Working group report-back and synthesis
- Short report-backs (about 5–7 minutes each)
- Facilitated synthesis: cross-cutting themes and candidate topics for Day 2
16:25–16:40 · 15 min
Wrap-up of Day 1
- Reflection on key insights
- Preview of Day 2 (framework, prioritisation, next steps)
Tuesday, June 16, 2026
08:00–08:30 · 30 min
Arrival, coffee, informal networking
08:30–08:40 · 10 min
Morning check-in and recap
- Recap of Day 1 and aims for Day 2
08:40–11:00 · Session 4 (140 min)
Opportunities in data collection and modelling
08:40–09:40 · 60 min
Presentation 1 — Current practice and challenges in environmental/ecological data collection and modelling
09:40–10:40 · 60 min
Presentation 2 — Object detection in images and satellite data
10:40–11:00 · 20 min · Break
11:00–12:30 · Session 5 (90 min)
AI in practice — cross-cutting discussion
- Framing talk (~10 min): connects Day 1 gaps to expected outputs
- Facilitated discussion (~50 min): table groups on promising data opportunities, where models/AI can enhance decisions, and enabling infrastructures or partnerships
- Plenary synthesis (~30 min): report-backs and clustering into themes
12:30–14:00 · Lunch · 90 min
14:00–17:00 · Session 6 (180 min)
From ideas to next steps
14:00–15:30 · 90 min
Working group
- Quiet reflection and pairing; small groups cluster ideas into mini-initiatives with title, aim, data/AI component, partners/funding
- Gallery and dot-voting
15:30–16:00 · 30 min · Break
16:00–16:45 · 45 min
Closing plenary — priorities, coordination, and next steps
- Present top initiatives
- Agree on 3–5 follow-ups (papers, grants, data standards, pilots) and leads
16:45–17:00 · 15 min
Closing remarks
- Thanks, recap, and how outputs will be shared (report, mailing list, etc.)
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