Description of original award (Fiscal Year 2012, $499,633)
This project will measure the extent to which allocating police patrols to high-risk areas (regardless of the presence of prior crimes) effects the frequency and spatial distribution of new crime events. They will utilize risk terrain modeling (RTM) to measure the risk of each geographic unit in order to identify the areas with the highest risk. With this information a quasi-experimental project will be conducted with two goals: 1) to replicate and validate RTM in multiple jurisdictions and across many different crime types,; and, 2) to evaluate theoretically- and empirically-grounded risk-based interventions targeted at high-risk micro-level environments.
- Deep Learning Methods for Post Mortem Interval Estimation
- Detection and identification of hair dyes directly at a crime scene by surface-enhanced Raman spectroscopy (SERS)
- Labor trafficking in construction and hospitality: Analyzing victim recruitment, exploitation, and service needs to identify strategies for prevention and intervention