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🔬 Citizen Science and Honey Bee Disease Research

An interactive 3D map of a beekeeper reporting network, where hobbyist apiaries send disease samples to a central research hub and the aggregated data builds a live prevalence readout.

Ecology & Conservation Biology3DModerate60 FPS

A field of hobbyist apiaries reports disease samples to a central research hub, where each arriving specimen updates a live estimate of regional disease prevalence.

🔬 What It Demonstrates

Only a fraction of apiaries report each cycle, set by reporting compliance. As samples accumulate at the hub, the estimated prevalence converges toward the true underlying rate — showing why coverage and participation matter as much as any single test.

🎮 How to Use

Set the number of participating apiaries, the true disease prevalence and the reporting compliance rate, then pick which disease is being flagged. Watch samples flow in and the hub's evidence ring grow.

💡 Did You Know?

National bee-disease surveillance schemes such as the UK's BeeBase rely on thousands of volunteer-submitted samples each year, turning ordinary beekeeping into a genuine early-warning system.

⚙ Under the hood

A 3D reporting network where hobbyist apiaries scattered across a field periodically send disease-sample data packets to a central research hub; the hub's evidence ring and live prevalence estimate build up as more citizen-collected samples arrive.

citizen sciencebee disease researchspecimen collectionmonitoringapiculture researchdata sharing

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install