Instructor
Instructor Material
Instructor notebooks (with solutions) and session guides, one row per Studio, each with the week’s required EDR|AI chapters — the same reading students see on Material and Schedule, generated from the book’s own manifest so the three surfaces cannot drift apart. Both live in the private repository davi-moreira/2026F_evidence_driven_research_purdue_HONR464_instructor — opening them requires being signed in to GitHub as the instructor. One-time Colab setup: open colab.research.google.com, choose the GitHub tab, and check “Include private repos” when authorizing.
| Topic | Sessions | Notebook (solutions) | Session guide | Readings |
|---|---|---|---|---|
| Studio 1: Begin with your curiosity Week 1 · nb01 |
2 lectures |  |
session guide | Required — EDR|AI Ch. 1 — From Curiosity to a Research Problem Recommended companion — RDSS ch. 4 ‘Getting started’. |
| Studio 2: Set your rules, shape your question Week 2 · nb02 |
2 lectures | |
session guide | Required — EDR|AI Ch. 2 — AI Is Your Arm, Not Your Brain Ch. 3 — You as a Research Director Ch. 4 — Specify, Delegate, Interrogate, Inspect, Verify, Document, Defend Ch. 5 — Research Responsibility and Intellectual Ownership Ch. 6 — Choose Your Question’s Kind and Reach Ch. 7 — Declare Your Research Question Recommended companion — RDSS ch. 2 ‘What is a research design?’; ch. 7 ‘Defining the inquiry’. |
| Studio 3: Ground it in verified evidence Week 3 · nb03 |
1 lecture | |
session guide | Required — EDR|AI Ch. 8 — Research Builds on Research Ch. 9 — Finding and Verifying Prior Evidence Recommended companion — RDSS ch. 4 ‘Getting started’, on situating a design in a literature. |
| Studio 4: Declare and diagnose provisionally Week 4 · nb04 |
2 lectures | |
session guide | Required — EDR|AI Ch. 10 — Model, Inquiry, Data Strategy, and Answer Strategy Ch. 11 — Uncertainty Before You Need It Ch. 12 — Declaring and Diagnosing a Research Design Ch. 13 — Research Ethics and Data Governance Recommended companion — RDSS ch. 2 ‘What is a research design?’ and ch. 5 ‘Declaring designs’; ch. 10 ‘Diagnosing designs’ and ch. 11 ‘Redesigning’. |
| Studio 5: Develop the pathway Week 5 · nb05 |
2 lectures | |
session guide | Required — EDR|AI Ch. 14 — Observational Descriptive Research — your declared route, or the contrast assigned to you Ch. 15 — Observational Causal Research — your declared route, or the contrast assigned to you Ch. 16 — Experimental Descriptive Research — your declared route, or the contrast assigned to you Ch. 17 — Prediction and Generalization — your declared route, or the contrast assigned to you Ch. 18 — Experimental Causal Research — your declared route, or the contrast assigned to you Ch. 19 — Hybrid and Complex Designs — only if your design has stages Recommended companion — RDSS the design-library chapter matching your route (ch. 15–18). |
| Studio 6: Govern data and measurement Week 6 · nb06 |
2 lectures | |
session guide | Required — EDR|AI Ch. 20 — Data Provenance and Data Quality Ch. 21 — Measurement and Operationalization Recommended companion — RDSS the data-strategy discussion in your route’s design-library chapter (ch. 15–18). |
| Studio 7: Produce a reproducible first analysis Week 7 · nb07 |
2 lectures | |
session guide | Required — EDR|AI Ch. 22 — AI as Programmer Ch. 23 — AI as Analytical Assistant Recommended companion — RDSS revisit ch. 5 ‘Declaring designs’ if your declared analysis needs re-anchoring. |
| Studio 8: Stress-test and adjudicate Week 8 · nb08 |
1 lecture | |
session guide | Required — EDR|AI Ch. 24 — Robustness and Sensitivity Ch. 25 — Diagnostics and Negative Tests Ch. 26 — AI as Adversarial Reviewer Ch. 27 — Recognizing False Confidence Recommended companion — RDSS revisit ch. 10 ‘Diagnosing designs’. |
| Studio 9: Write, bound, and disclose Week 9 · nb09 |
2 lectures | |
session guide | Required — EDR|AI Ch. 28 — From Results to Claims Ch. 29 — Claim–Evidence Tables Ch. 30 — AI Disclosure and Research Integrity Ch. 31 — From Dossier to Research Note Recommended companion — RDSS revisit ch. 7 on the inquiry compass before you position your own claim. |
| Studio 10: Prepare to publish or present Week 10 · nb10 |
2 lectures | |
session guide | Required — EDR|AI Ch. 32 — Research Posters Ch. 33 — Poster Criticism Ch. 34 — Research Pitches, Talks, and Seminars Ch. 35 — Difficult Questions and Uncertainty |
| Conference block: poster production and peer review Week 11 · nb11 |
2 lectures | |
session guide | Revisited this week Ch. 32 — Research Posters Ch. 33 — Poster Criticism Recommended companion — RDSS ch. 23 ‘Communicating’, the reporting standards section. |
| Conference block: presentation preparation Week 12 · nb12 |
2 lectures | |
session guide | Revisited this week Ch. 34 — Research Pitches, Talks, and Seminars Ch. 35 — Difficult Questions and Uncertainty Recommended companion — RDSS ch. 23 ‘Communicating’. |
| Conference block: the public test (dress rehearsal and the Expo) Week 13 · nb13 |
1 lecture | |
session guide | Revisited this week Ch. 32 — Research Posters Ch. 33 — Poster Criticism Ch. 34 — Research Pitches, Talks, and Seminars Ch. 35 — Difficult Questions and Uncertainty |
| Conference block: the public test (dress rehearsal and the Expo) Week 13 · nb14 |
async module | |
session guide | Revisited this week Ch. 33 — Poster Criticism Ch. 35 — Difficult Questions and Uncertainty |
| Studio 11: Reproduce and package Week 15 · nb15 |
2 lectures | |
session guide | Required — EDR|AI Ch. 36 — Replication and Reproduction Ch. 37 — Open and Reusable Research Packages Revisited this week Ch. 31 — From Dossier to Research Note |
| Studio 12: Special topic: agentic AI, release, and the next cycle Week 16 · nb16 |
2 lectures | |
session guide | Required — EDR|AI Ch. 38 — Managing Multiple AI Agents Ch. 39 — Conflicting Agents and Human Escalation Ch. 40 — Final Research and AI-Management Portfolio Recommended companion — RDSS ch. 24 ‘Epilogue’, the release-and-next-cycle send-off. |
Instructor material is synced by scripts/sync_instructor_repo.sh after each notebook build. The private repository plus GitHub authentication is what protects it — the links above open only for the instructor’s GitHub account.