Learn ENA by making the analysis decisions.

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ModelingIntermediate35 minJul 30, 2026
ENA Academy Lesson 13

Use Means Rotation for a Prespecified Two-Group Question

Use the shared synthetic design-talk dataset to practise deciding when the first ENA axis should align with the difference between exactly two prespecified group means, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

means rotationtwo-group contrastMR1
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ModelingIntermediate35 minJul 31, 2026
ENA Academy Lesson 14

Interpret SVD Dimensions and Co-registration

Use the shared synthetic design-talk dataset to practise understanding what SVD axes summarize and whether network node positions are aligned well enough with projected unit coordinates for interpretation, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

singular value decompositionco-registrationvariance explained
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ModelingIntermediate35 minAug 1, 2026
ENA Academy Lesson 15

Reproduce an ENA Model Across Implementations

Use the shared synthetic design-talk dataset to practise checking whether two ENA implementations produce equivalent accumulated connections, normalized vectors, projections, and interpretations under matched settings, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

cross-implementation parityrENAjENA
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Research DesignIntermediate35 minAug 2, 2026
ENA Academy Lesson 16

Run Window and Segmentation Sensitivity as a Model Grid

Use the shared synthetic design-talk dataset to practise separating two coupled context decisions by evaluating a small prespecified grid of segmentation and moving-window alternatives, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

sensitivity gridsegmentationwindow size
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InterpretationIntermediate35 minAug 3, 2026
ENA Academy Lesson 17

Read ENA Subtraction Networks Without Overclaiming

Use the shared synthetic design-talk dataset to practise interpreting a difference graph as edge-wise subtraction between comparable networks in one shared analytic space, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

subtraction networkdifference graphshared node positions
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InterpretationBeginner25 minAug 4, 2026
ENA Academy Lesson 18

Trace Every Interpreted Edge Back to Excerpts

Use the shared synthetic design-talk dataset to practise building a reproducible route from an interpreted network edge to the units, rows, and source excerpts that contributed to it, document the decision, test a defensible alternative, and keep every interpretation tied to source evidence.

excerpt traceabilityedge provenanceinterpretive loop
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