This paper describes ULAP, a framework for scrutable modeling and prediction of people’s locations and activities, based upon a diverse collection of sensors, with varying reliability. It supports transformation and aggregation of sensor data, using this to build individual user models of location and activity. We propose an approach to indicate the certainty of predictions about users based up...