GCSP research stipend | Fall 2025

From Health Tracking to Data Risk: FemTech Behaviors in an Era of Reproductive Policy Change

Security icon, disabled. A blue padlock, locked.

FemTech applications, including menstrual, fertility, and pregnancy tracking tools, are an expanding area of digital health that collect sensitive reproductive data. As their use grows, concerns have increased about data management and privacy risks within changing reproductive policy environments. This research analyzes FemTech applications from the Google Play Store using two Android datasets collected one year apart. Static analysis evaluates permissions, third-party libraries, manifests, and API hooks, while dynamic analysis monitors network activity and runtime behaviors to identify evolving patterns in data handling and potential privacy concerns.

Student researcher

Payge Kerngel Sakurai

Computer science

Hometown: Idid, Koror, Palau

Graduation date: Fall 2025