Modeling interactions workshop at UT

I co-organized (along with Harvey Miller and Gil Bohrer from Ohio State) a workshop on Modeling interactions as part of a two workshop series focused on addressing issues in computational movement analysis. The workshops are intended
to draw participants from both the human movement/mobility and animal movement ecology fields.

The interaction workshop was held at UT-Austin Nov. 10-11, 2016. We had about 30 participants and 3 great keynotes from Francesca Cagnacci, Patrick Laube, and Jed Long. More information is here.

The 2nd workshop will be held at Ohio State May 10-11, 2017. More information is here.

Workshop participants
Workshop participants

New project on exploring anonymity in movement trajectories

Dr. Jennifer Miller has received funding from UT’s Center for Identity for a new project that explores how anonymous  movement trajectories are based on GPS locations from smartphones. Location data are often released after they have been ‘anonymized’—which means that the trajectory has been stripped of any obvious

Microsoft GeoLife trajectories in Beijing
Microsoft GeoLife trajectories in Beijing 

identifying information such as name, address, phone number, etc. However, personal points of interest (home, work) can be easily identified by mining trajectory data for movement patterns, and these points of interest are often associated with unique individuals. This project will explore privacy issues associated with smartphone location data using a computational movement analysis framework.


New project on analyzing animal interactions using GPS data

I just received a three year grant to support research on developing a framework for analyzing dynamic interactions between animals using GPS data (NSF #1424920). I’m looking for a graduate student (preferably doctoral) to work on the project starting fall 2015. Student should have a GIScience and/or ecology background and be very comfortable with spatial analysis and modeling. Must have very strong R skills and preferably some python programming experience as well.


If you are a potential graduate student interested in working on this project, please see general information about our graduate program here and more specific information about working with me here.

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