Valuing Personal Location Data

- John Krumm , Microsoft Research, Redmond

Day 2 - MDM Research I: Wed., Jun. 16
Toronto Seattle Paris Athens Beijing Brisbane
9:10 - 10:15 6:10 - 7:15 15:10 - 16:15 16:10 - 17:15 21:10 - 22:15 23:10 - 00:15


The whereabouts of regular people from their everyday lives is valuable, both to the people themselves and to organizations that want to learn more about them. And yet the precise value of this data is difficult to pinpoint, both in the minds of the data subjects and the accounting of the data collectors. From the subject’s point of view, is differential privacy the answer? What would motivate a subject to release their data? What if they want to release just a vague idea of their location? From the data collector’s point of view, how can they put a price on location data and decide which data to buy? How do they know when they have enough? This talk will explore these questions, highlighting some of our lab’s research toward clarifying how to protect and value everyday location data.


John Krumm earned his PhD in Robotics from the School of Computer Science at Carnegie Mellon University in Pittsburgh, Pennsylvania, where he worked on computer vision. His first job was in the robotics division at Sandia Labs in Albuquerque, New Mexico. Then he moved to Microsoft Research in Redmond, Washington in 1997, where he has been since. His current research focus is location, mostly looking at how to process, protect, and value personal location data. In 2017, he received a 10-year impact award for a paper on location privacy from the ACM UbiComp conference. He holds 83 U.S. patents. He has served as the co-editor in chief of the Journal of Location Based Services, and he is currently an associate editor ACM Transactions on Spatial Algorithms and Systems and on the editorial board of IEEE Pervasive Magazine. Dr. Krumm was a PC chair for UbiComp 2007, ACM SIGSPATIAL 2013, and ACM SIGSPATIAL 2014. He is currently in his fourth year on the executive committee of ACM SIGSPATIAL.