This repository contains all materials for the workshop "Machine Learning and AI for Population Research: Tools, Applications, and Implications." Here you'll find slide decks, exercises, and solution code.
This hands-on workshop bridges the gap between modern AI/ML techniques and the unique challenges of population research. As traditional data collection methods face increasing constraints, researchers are turning to machine learning approaches—but these tools weren't originally designed with population studies in mind.
Through interactive R-based exercises, participants will gain practical experience with AI/ML methods while critically examining their implications for population research.
- Clone this repository
- Navigate to the
/exercisesfolder and open the Rmd files - Each exercise contains the necessary requirements and datasets
/slides: Presentation materials/exercises: Hands-on activities with instructions and datasets/solutions: Completed code for all exercises/resources: Additional reading and reference materials
- Basic R programming skills
- Familiarity with regression analysis
- Working installation of R and RStudio
Kentaro Hoffman, Tyler McCormick