Session 7: Coding Smarter — R and AI Tools
Note
Date: Thursday, 04 June 2026, 16:00–19:00
Business question
Does working from home improve or reduce employee performance — and can we use AI tools to analyse this efficiently?
Learning goals
- Use AI tools effectively for R coding, debugging, and documentation
- Understand the limitations and risks of AI-generated code (hallucinations, silent errors)
- Develop a critical and efficient AI-assisted workflow
- Verify and test AI output rather than trusting it blindly
Dataset
working-from-home — 249 employees from a randomised controlled experiment at a Chinese travel agency (Bloom et al., 2015). Performance (calls per minute), WFH assignment, tenure, demographics.
Quarto skill introduced this session
Using AI to write, debug, and improve Quarto documents: prompt strategies, reviewing AI-generated prose, using AI for formatting and cross-referencing.
Important
Material will be available here before the session.