Week 12 · November 9–11

Build and verify one piece of your research.

Discuss how generative AI works and what it may change for new analysts. Then scope one task for a coding agent, produce an artifact in R, and check it against the source data.

This week

Define the task

Choose one task that moves your research question forward.
Name the input, observation unit, sample, and expected output.

Build in R

Review the agent’s plan before it writes or runs code.
Produce one data audit, checked join, figure, or model-readiness table.

Verify the result

Rerun the script and check one result yourself against the source data.
Record your decision, the evidence behind it, and your next step.

Lecture slides

Allow 30–40 minutes for Lecture 9, which covers how generative AI works, how to use it responsibly, and what it may change for new analysts. Use the preview’s arrow controls to advance the slides.

By the end of Week 12

Be ready to show your R script, its output, and the check you performed independently. Explain one research choice you made and what the output lets you do next.

This week’s materials

Lecture 9Generative AI, Agents, and the Job Market Classwork 7Agentic AI Workflow for Research Projects