HPC for Social & Crime Science
summary
Describes using HPC and big-data computation on police datasets—about 200,000 crime records and ~400 million GPS points (x,y,t)—to run spatiotemporal workflows such as geocoding, map-matching and spatial/temporal algorithms. Focuses on analysing police patrol effects via a longitudinal design and discusses ethical issues and biases from human data entry, arguing for greater computational literacy in crime science.
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