Philip Glasner

Email: philip.glasner(at)

PhD Topic: Predictive Crime Mapping

Philip Glasner received his Diploma degree in Cartography and GIS, from the University of Vienna, Austria. Since 2011, he is working for SynerGIS Informationssysteme GmbH, the Esri distributor in Austria. His current role for this company is Senior Solutions Consultant.

Philip started his PhD studies in Applied Geoinformatics at the University of Salzburg in 2013 under the supervision of Professor Michael Leitner. In the first 18 months of his PhD career, he was working on the research project “Crime Predictive Analytics” (short: CriPA). CriPA was established to research, develop, and apply new methods in Predictive Crime Mapping using Austrian crime data and to provide a set of methods to forecast future crime locations to effectively allocate resources to prevent crime.

His research interests include, but are not limited to, analysis methods used in Crime Mapping. These concepts involve hotspot mapping techniques, such as Kernel Density Estimation, and the concept of Repeat and Near Repeat Victimization. His interests are especially in how these techniques can be used for predicting and preventing crime events, for example residential burglaries. Further methods that are in the focus of his doctoral thesis are the evaluation and design of temporal analysis techniques to estimate exact offense dates and times of crime events.