AI in Statistical Analysis

Background

AI tools are rapidly reshaping how analysts approach statistical work, yet many researchers lack a practical, critical framework for using them well. This workshop was designed for researchers, statisticians, and data scientists who want to understand where AI can responsibly support the statistical analysis workflow. It assumes basic familiarity with R and statistical concepts.

Approach

The session is delivered as an interactive Quarto Reveal.js presentation (~27 slides) built in R, with ten interactive visualisations created using the ggiraph package. The deck is paired with a detailed presenter guide so the material can be re-delivered by others. The format is a single interactive lecture-workshop combining demonstrations and live discussion.

What we found

• Participants learn to map AI tools onto distinct stages of the statistical analysis pipeline.
• Emphasis on critical evaluation: where AI assistance is reliable and where human judgement remains essential.
• Hands-on exposure to reproducible, AI-supported workflows in R.

Outputs & impact

• A reusable interactive Quarto/Reveal.js slide deck (~27 slides) with ten interactive ggiraph visualisations.
• A detailed presenter guide that enables other instructors to re-deliver the material.
• Maintained as a self-contained, reusable teaching resource and deck rather than a one-off delivery.