As a part of the seminar series organized by the Institute of Data Analytics and Information Systems, Corvinus University of Budapest, Gergő Pintér presented his work, "Geolocating cities using human activity traces". It describes how much implicit information mobile positioning data contains, and what could be the privacy consequences of publishing human mobility traces.

If enough location data is available about how people are spread out in a city, the geographic distribution of the appearances (human activities) will identify the urban area even if the mobility data was transformed to a obscured plane (like a blind map). This work contributes to discourse about the trade-off between privacy preservation and researchers’ interest in using more granular mobile positioning data to build better models, by pointing out that obscuring the geographic location on its own is not enough ot protect the users' privacy in the data.