By Glenn L. Pierce; David Lambert; Daniel Trovato; and Peter Gagliardi

This study examines the innovative use of firearms related evidence to enhance violent crime investigations in New Jersey. This effort changed the use of firearms forensic evidence from a sole evidential focus to one that also incorporates a premonitory focus required to generate investigative leads. This project demonstrated the critical importance of fusing firearms forensic evidence such as ballistics imaging with locally available information, such as arrest and incident data on a statewide basis. This study further demonstrated the value of ballistics imaging to connect previously unconnected incidents, individuals, and weapons particularly when combined with other law enforcement data sets. This project demonstrated the critical importance of fusing firearms forensic evidence such as ballistics imaging with locally available information, such as arrest and incident data on a statewide basis. This study further demonstrated the value of ballistics imaging to connect, previously unconnected incidents, individuals, and weapons particularly when combined with other law enforcement data sets. It illustrated the critical need of information sharing across forensic, criminal intelligence (such as fusion and real time crime centers), and investigative entities across all levels of government – local, state, and federal - in supporting violent crime suppression efforts. The study is a mixed methods approach to policy analysis using both quantitative and qualitative analysis. The researchers’ analyzed ballistics imaging submissions over a multi-year period in addition to examining open source and agency documents that tracked many of the crime reduction projects the New Jersey State Police incorporated into their crime gun intelligence effort.

Boston: Northeastern University, 2023. 120p.

By Eric L. Piza, Rachael A. Arietti, Jeremy G. Carter & George O. Mohler

Objectives

This study tests whether (1) shots fired calls for service in the gunshot detection technology (GDT) target area are more likely to be classified as unfounded; (2) police responses to shootings in the GDT target area are more likely to recover ballistic evidence or firearms; and (3) shootings in the GDT target area are more likely to be cleared.

Methods

Entropy balancing created a weighted control group that equaled the treatment group across a range of covariates. GDT effect was tested through logistic regression models with entropy balancing weights set as probability weights.

Results

Shots fired occurring in the GDT target area were 15% more likely to be classified as unfounded compared to control cases. GDT did not significantly influence the likelihood of evidence collection or case clearance in shooting incidents.

Conclusions

GDT may not add investigative value to police responses to shooting incidents and may increase patrol workload.

J Exp Criminol (2023). https://doi.org/10.1007/s11292-023-09594-6

By Greg Berman

HFG’s ‘At the Crossroads’ series concludes with the publication of  “Behind the Rise in Gun Violence in New York and Other American Cities,” a compilation of the twelve interviews conducted by Harry Frank Guggenheim Distinguished Fellow of Practice Greg Berman with an essay illuminating common themes and practical approaches to ending such violence.

United States, Harry Frank Guggenheim Foundation. 2022, 152pg