Likely Voters Models: The Key to Accurate Electoral Analysis

This article explores the most commonly used likely voter models, detailing how they identify people most likely to participate in an election. It examines methodologies such as self-reported voting intentions, past voting behavior, and demographic indicators.

A Data-Driven Consumer Experience

Predicting Gratefulness: Machine Learning for Human Behavior

Elder Research Data Scientist Will Goodrum explores using analytics to predict which patients are grateful enough to donate to your hospital foundation.