Data Science Day @ Columbia University

Smartphones and apps provide us with extremely useful location-based services. When we use these services, we let the service providers know where we are and when we're there. This data can be used to infer many useful but potentially sensitive attributes of users. This work lets users import data collected about them from a few popular location-based services. They can visualize this data, and additionally see some basic inferences we make about them based on this data. This can be used as a location privacy audit system, where users can realize what they're letting the world know and take appropriate actions. Eventually, we hope to turn it into a system where users can donate their data to help us learn about the relationship between the demographics and the places people visit.