At the University of California, Irvine, a team of researchers is hoping to put those [privacy] concerns to rest by developing a web-based app that uses data the school already collects. Instead of requiring students and employees to turn over troves of personal information, the system works by tracking the number of devices connected to the campus Wi-Fi. To avoid overcounting people, it uses machine learning techniques to determine if two or more devices are moving together, suggesting they belong to the same person.

Read the full story at Education Dive.