Continuous Evaluation for a Multi-Dimensional Violent Crime Prevention and Recovery Policy

James Geller, Angela Garretson, Soon Ae Chun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Crime is consistently ranked as a top concern of citizens. In the past five years there has been a real increase of violent crime, complemented by a citizen perception of increased crime. There have been a few successful initiatives for reducing crime, especially violent crime, which take a multi-dimensional approach. Policing alone is not enough. Teams need to include mental health experts for the crime victims and family, in/formal educators and mentors, and community activists and spiritual leaders who are familiar with the facts on the ground. The Newark City Office of Violence Prevention and Trauma Recovery (OVPTR) has taken this multi-faceted approach with some success in Newark, NJ. The multi-dimensional crime fighting city’s policy required implementation programs led by these diverse community institutions. The challenge is how to evaluate and measure the success of these policy programs, especially when many participating entities and actors provide services and activities to their target population involved. In this paper, we propose Crime Prevention and Response Program Evaluation System that can provide capabilities of monitoring progress and evaluation of programs, and of measuring their overall outcome and impact of policy implementation. The system can provide the visibility of each program and participant progress, and measure the accountability of the crime prevention policy services and activities. This support the city to make a decision on policy efficacy and rearrangement in crime prevention and recovery.

Original languageEnglish (US)
Title of host publicationProceedings of the 25th Annual International Conference on Digital Government Research, DGO 2024
EditorsHsin-Chung Liao, David Duenas Cid, Marie Anne Macadar, Flavia Bernardini
PublisherAssociation for Computing Machinery
Pages1030-1033
Number of pages4
ISBN (Electronic)9798400709883
DOIs
StatePublished - Jun 11 2024
Event25th Annual International Conference on Digital Government Research, DGO 2024 - Taipei, Taiwan, Province of China
Duration: Jun 11 2024Jun 14 2024

Publication series

NameACM International Conference Proceeding Series

Conference

Conference25th Annual International Conference on Digital Government Research, DGO 2024
Country/TerritoryTaiwan, Province of China
CityTaipei
Period6/11/246/14/24

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Keywords

  • AI
  • community engagement
  • Continuous data-driven Policy Evaluation
  • Crime Prevention and Recovery Policy
  • Machine Learning
  • Multi-dimensional crime interventions

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