Participatory science

Everyone can do science.

Science is not a collection of answers. It is a habit: observe, question, predict, test, record, share, replicate, and improve. Turn everyday curiosity into experiments other people can actually verify.

Start an experiment Browse research Publish observations
Evidence > authority Replication welcome

The everyday science loop

Turn a question into something another person can repeat

Small, safe experiments count. Gardening, cooking, software, learning, materials, electronics, and local observations are all fair game.

1 Observe 2 Question 3 Predict 4 Test 5 Record 6 Share 7 Replicate 8 Improve

Drafts stay on this device until you choose to publish them. Keep experiments safe, ethical, and consensual.

Replication is the superpower. Publish the method, observations, raw measurements, uncertainty, and failures. Invite someone else to try it. A result becomes more useful when other people can challenge it.

Focus areas

Where the lab speeds up 3DVR delivery

Capture signals, standardize protocols, and iterate on VR playbooks together.

Evidence loops

Draft hypotheses, publish quick tests, and keep observations synced across devices.

  • Store methods, controls, and outcomes inside shared Gun nodes.
  • Tag sessions with teammates so reviews and replications are tracked automatically.
  • Link results to VR prototypes to validate comfort and flow.

Sensing & telemetry

Mirror wearables, breathwork, or controller data inside collaborative dashboards.

  • Stream time-series checkpoints into gun.get('science').get('signals').
  • Compare pre/post metrics for movement, focus, and calm.
  • Map thresholds to rewards so healthy habits unlock in-portal boosts.

Simulation to production

Translate findings into VR-ready interactions with safety and ergonomics baked in.

  • Prototype interaction patterns, then export shared playbooks for builders.
  • Attach safety and comfort checks to every experimental branch.
  • Publish reference data so teams can remix proven flows quickly.

Workflow

From idea to VR deployment

Follow a repeatable cycle that keeps science paired with production builds.

1 · Plan

Log hypotheses and protocols in notes, then route approvals through tasks.

2 · Run

Collect sensor snapshots in gun.get('science').get('runs') for cross-session review.

3 · Sync

Compare cohorts, annotate anomalies, and mark replications as they land from relays.

4 · Ship

Export validated playbooks and share them with builders shipping the next VR features.

Shared resources

Jump to the tools that keep experiments moving