The study develops a framework to help activist communities navigate decentralized social networks by aligning their core needs with platform features, evaluates four DSNs for their sociotechnical tradeoffs, and explores how activists can select platforms that best support their organizing goals amid structural challenges.

This study developed and tested a planning tool and science lessons to help high school teachers in urban schools introduce data science and AI concepts into their classes, giving more students the opportunity to use these technologies to solve real-world social problems.

The study presents a new framework that combines genetic data and behavioral mobility patterns to improve opioid use disorder (OUD) risk prediction, finding that integrating these features enhances risk modeling accuracy and may support more personalized clinical decisions, though further evaluation is needed before clinical use.