Privacy in Sensor-Driven Human Data Collection: A Guide for Practitioners

Understand

In recent years, the amount of information collected about human beings has increased dramatically.

• This development has been partially driven by individuals posting and storing data about themselves and friends using online social networks or collecting their data for self-tracking purposes (quantified-self movement).
• Across the sciences, researchers conduct studies collecting data with an unprecedented resolution and scale.
• Using computational power combined with mathematical models, such rich datasets can be mined to infer underlying patterns, thereby providing insights into human nature.