Five projects on modern sports statistics, including advanced metrics.

Authors: Josh Tabor, Christine Franklin, & Danny Hill

Students build a simple machine learning model to make predictions with data and discuss data ethics.

Author: Max Cembalest

Students use global Heritage Foundation data to explore the relationship between economic freedom and development.

Author: Jade Flores-Henderson

Students investigate Simpson’s Paradox in judicial, educational, medical, athletic, and political contexts.

Author: Matt DiSorbo

Students get hands-on sampling experience by conducting their own exit polls in a local election. Then, they analyze the results.

Author: Brian Broderick

A deep-dive into the history of the Flint Water Crisis, through analysis of multiple datasets and inference procedures.

Author: Scott Fallstrom

Students investigate statistical claims of election fraud, then review experimental studies on combatting misinformation.

Author: Elisa Oliver

Case study: How Rafael Irizarry and collaborators used sampling and inference to seek truth in Maria’s aftermath.

Author: Emily Dougherty-Samowitz