Lesson 01 facilitator links

Use these links while preparing or projecting the first lesson. Open Teachable Machine on laptops before the room starts, and open the GBIF map on the projector before the second exercise.

Exercise 1: Teachable Machine

• Teachable Machine image project — start here for the webcam classifier activity.
• Teachable Machine FAQ — useful facilitator background on examples, classes, training, and model behaviour.
• TensorFlow.js transfer-learning codelab — optional technical background if a participant asks what is happening under the hood.

Exercise 2: GBIF nature-data map

• GBIF homepage — scroll to the global occurrence map if you want the same public entry point participants can find later.
• GBIF occurrence map — direct map view for showing where biodiversity records are dense and where they are sparse.
• GBIF global data trends — charts on record availability, species counts, time, and seasonality.
• GBIF regional statistics data blog — background on how occurrence records and species counts vary by region.
• How Global Is the Global Biodiversity Information Facility? — open-access paper on geographic and taxonomic gaps in GBIF data.

Facilitation prompts

• What did the laptop classifier fail to recognise when one person had too few samples?
• Where does the GBIF map show the same failure at planetary scale?
• Who gets harmed when a model is confident about data-rich places and silent about data-poor places?
• Who should be able to add, correct, refuse, or steward the missing data?