Learning resource
Research Notes
Assumption updates, experiment summaries, and model design notes.
Updated
In short
A living log of how assumptions, tests, and model choices evolve as the simulation engine improves.
What you will learn
- Documents why model changes were made and what changed.
- Supports transparent, reproducible interpretation of outputs.
- Helps users track methodological continuity across updates.
Full resource
Purpose of research notes
Research notes record assumption changes, experiment design updates, and interpretation refinements. This creates an auditable trail behind model behavior.
Transparent notes help users understand whether output changes come from data updates, methodology adjustments, or configuration differences.
Recommended note structure
For each entry, document objective, inputs, procedure, observed outcomes, and limitations. Include rationale for any parameter or method changes.
When possible, link each note to impacted pages and version markers in the changelog.
How notes improve decision quality
Research notes prevent hidden drift in interpretation and make comparative analysis reproducible across time.
They support investor trust by exposing uncertainty and preventing overconfident conclusions.
Next steps
Apply this resource alongside simulation analysis. Start from the home workflow, validate assumptions in methodology, and use related blog posts to deepen context before changing contribution policy.