Link to Session Platform

Chairs(s):

Mei-Po Kwan, 

; ,

Description:

Recent advances and widespread use of a wide range of geospatial technologies (e.g., GPS-equipped mobile phones and sensors) in people’s daily life have ushered in the era of geospatial big data. With the help of these location-aware technologies, enormous amounts of personal location data can be collected without the notice of data contributors. However, because of the precise locations they contain, these data have considerable potential for disclosing people’s identities through a process known as spatial reverse engineering. Personal privacy is thus a significant concern in the era of geospatial big data. Data contributors are at the risk of being identified and having their privacy violated if their data are not handled properly. This sesson will explore why geoprivacy matters and how geoprivacy issues may be addressed based past research on geoprivacy protection (e.g.. geomasking methods and the geospatial virtual data enclave [GVDE] that seek to enable the sharing of geospatial data while protecting individual geoprivacy and data confidentiality). The opportunities and challenges of data sharing from pubic organizations to academia will also be discussed.

Non-Presenting Participants Agenda