SPACETRC / PARTICIPATORY SCIENCE
Inspect the evidence.
Add your reasoning.
Build your method with controlled educational examples. When a real pilot is published, explicitly contribute to research with a named responsible person and stated data purpose.
01 / PRACTISE THE METHOD
Three evidence types. Nine small investigations.
02 / YOUR DEVICE INVESTIGATION LOG
Keep the reasoning. Review your progress.
Checked answers first remain in memory. Persistent device saving and export are separate actions; neither submits to WordPress.
03 / PREPARE A RESEARCH OUTLINE
Turn practice into a reviewable method.
Choose a training flow. Adapt its source-linked starting text with your question, criterion and uncertainty note. The worksheet is only downloaded; it creates no account, server record or real pilot.
What else is required for a real pilot?
- A real responsible person, a clear question and the analysis that will use the answers.
- Source and use-condition checks by the responsible person, with source credit preserved.
- Known-answer calibration examples separated from real tasks without preassigned answers.
- Explicit participant consent per submission, private review and a stated retention/withdrawal process.
- Separate draft review and explicit publication by the WordPress administrator. This page grants no automatic approval.
04 / REAL PILOTS
Projects with a responsible person and a clear purpose.
This list is not loaded automatically. Inspect each pilot’s source, data purpose and task. Real contributions require a WordPress account and explicit consent for each submission.
What makes a useful contribution?
Observation and interpretation
First state what you observed or calculated, then separate your interpretation.
Record uncertainty
If unsure, lower your confidence and explain why. A majority vote is not a substitute for physical evidence.
Preserve provenance
Carry the data date, units, selection and use information with the result.
A training score is not an expert title or accredited qualification. Publishing a pilot does not imply institutional partnership or peer-reviewed publication acceptance.