[Corpora-List] Open Research Position (M.S. / Ph.D. / post-doc): Analyzing Routine Activities for Crime Prediction

[Matthew Gerber]

Hello,

A new research position has opened within our lab, and we are seeking M.S.,
Ph.D., and post-doc researchers.

One-sentence summary:  We are mining social media for indicators of
individual routine activities for the purpose of improved crime prediction.

Longer summary: This project focuses on the spatiotemporal prediction of
localized attacks carried out against individuals in urban areas. We view
an attack as the outcome of a point process governed by the interaction of
attackers, targets, and the physical environment. Our ultimate goal is to
predict future outcomes of this process in order to increase the security
of human populations and U.S. assets and interests. However, achieving this
goal requires a deeper understanding of how attack outcomes correlate with
the routine activities of individuals in an area. The proposed research
will generate this understanding and in doing so will answer questions such
as the following: What are the dimensions along which individuals’
activities should be quantified for the purpose of attack prediction? How
can measurements along these dimensions be taken automatically and with
minimal expense (e.g., via social media)? What are the implications of such
measurements for attack prediction performance? Subsuming these questions
is the issue of geographic variation: do our answers change when moving
from a major U.S. city to a major U.K. city? There has been plenty of
previous work on spatiotemporal attack prediction (see our Asymmetric
Threat<http://ptl.sys.virginia.edu/ptl/projects/asymmetric-threat-prediction>project);
however, these basic questions remain unanswered, leaving a
substantial gap in our understanding of attack processes and their
relationships with individuals’ routine activities.

More information can be found
here<http://ptl.sys.virginia.edu/ptl/projects/routine-activities-analysis-for-crime-prediction>
.

Sincerely,

Matthew S. Gerber, Ph.D.
Research Assistant Professor
Department of Systems and Information Engineering
University of Virginia
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