Responsible Sharing of Spatiotemporal Data

There is a growing need for responsible spatiotemporal data sharing in our daily lives. Applications such as connected vehicles and mobile advertising are currently undergoing a significant digital shift, demanding new standards for privacy-aware solutions and the integration of machine learning technologies. In this tutorial, we present the concepts and challenges encountered when maximizing the utility of spatiotemporal data while enforcing rigorous privacy and security measures. We review modern data sharing mechanisms that provide stakeholders with the power to establish precise terms for the usage and sharing of their data, secured by a robust data infrastructure. We will explore how such sharing mechanisms interplay with complex privacy stipulations and advanced spatiotemporal analytics. Attendees will leave with a comprehensive understanding of how to navigate the delicate balance of spatiotemporal data usage, paving the way for innovation in privacy and compliance methodologies across various industries.