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Program 05 / Domain science

Measure judgment under constraints.

Explore scientific evaluation that makes the trade-offs, missing evidence, and next experiment part of the task.

Original illustrative taskProject design

01 / The task

Start with a concrete assignment.

Assess a research evidence pack, compare competing explanations, and propose the smallest experiment that could distinguish them.

Input materials

An evidence pack with measurements, methods, uncertainty, candidate explanations, and resource limits. A chemistry example can include activity, selectivity, exposure, and synthesis constraints without assuming complete evidence.

02 / The workflow

Carry the task through.

  1. 01

    Check units, experimental conditions, missing controls, and whether apparently comparable results were measured in comparable ways.

  2. 02

    Separate observations from proposed mechanisms. Weigh competing objectives and identify the assumption most likely to reverse the decision.

  3. 03

    Propose a focused follow-up experiment, its controls, expected alternatives, and a decision rule for interpreting the result.

03 / The deliverables

Work you can inspect.

  • 01Evidence pack
  • 02Decision rationale
  • 03Dimension-level rubric
  • 04Expert review record

04 / The evaluation

Make the criteria explicit.

Distinguish observations from inference and score each decision against the evidence available at that point.

  • Claims remain within what the supplied measurements and structures can support.
  • Scoring distinguishes data interpretation, feasibility, uncertainty, and the quality of the next experiment.
  • Independent review checks the reasoning and records unresolved disagreements rather than hiding them.

Delivery boundary

This is an evaluation design, not a validated discovery or treatment recommendation. New experimental results and specialist approval remain separate from the illustrative task.