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Module 14 · Week 15 synthesis & peer review · Reproducibility & AI Audit · adaptive competency DV22

Make every result rebuildable.

No new concepts: synthesize and peer-review methods already learned across Modules 1–13. Trace the evidence, repair fragile analyses, regenerate every artifact, preserve the AI decision record, and discover which conclusions survive reasonable specifications.

What to do for Canvas Project 7

Work through Module 14 and save its required evidence and files.
Complete the associated workspaces: Module 13, Module 14, Module 15. Previously earned completion remains valid; additional work is optional review.
Open Project 7, check the packet status, and download Project_7_Canvas_Packet.zip. For Canvas, upload at least one artifact from your work or a screenshot of your grade. The full ZIP is optional. A download is not a Canvas submission. Submit by the date on Canvas, only if you have not already submitted.

QuantegyAI feedback does not submit to Canvas. Module numbers, evidence identifiers, and Canvas weekly resource numbers are distinct.

9module steps

5interactive audits

1evidence package

70+minutes

Mission progress0%

Begin by reconstructing the evidence lineage.

Begin reproducibility mission

By the end of this module, you will be able to

Trace an analysis from its claim back to the raw evidence behind it.
Reproduce and regenerate every artifact: data, code, figures, and numbers.
Repair fragile analyses that break on a fresh run.
Preserve the AI decision record: what was suggested, accepted, rejected, and corrected.
Stress-test conclusions across reasonable specifications and report which ones survive.
Apply all of this to Project 7: your DV22 Reproducibility Evidence Studio, due the date on Canvas.

Your evidence map

DV22

0 XP

DV22Trace data lineageReady to begin

DV22Control environmentsLocked

DV22Regenerate artifactsLocked

DV22Audit AI decisionsLocked

DV22Stress-test specificationsLocked

DV22Defend reproducibilityLocked

Student learning outcomes

By the end of Module 14, students can…

Trace evidence lineage from source versions through transformations to every final artifact.
Control the environment — packages, paths, execution order, seeds — and prove regeneration in a clean run.
Preserve the complete AI decision record: prompt, raw output, independent check, correction, and human decision.
Compare defensible analytic specifications and disclose sensitivity honestly.
Defend a reproducibility package under independent peer review.

Module 14 step by step

Each step below is its own short page, so nothing runs on for screens at a time. Work through them in order — your progress is saved as you go, and the numbered bar at the top of every page jumps straight to any step.