Paper Info
Title
A data-driven software tool for enabling cooperative information sharing among police departments
Abstract
Police departments utilize information technology for combating crime, however, mostly for tactical purposes. This paper presents an Artificial-Intelligence software, Crime Similarity System (CSS) that helps police departments develop a strategic viewpoint toward decision-making. CSS utilizes socioeconomic, crime and enforcement profiles of cities to generate a list of communities that are best candidates to cooperate and share experiences. By providing a list of relevant similar communities from whom past experience and learnings can be shared, this tool offers the potential for proactive management. CSS provides a user-friendly front-end enabling easy usage. Camden, NJ and Philadelphia, PA police departments were partners in this development effort. Feedback from these two police departments has validated the benefit of this software in uncovering opportunities for police departments to cooperate. An evaluation using human subjects showed that the CSS software provided significantly better support than a conventional database. The modeling framework developed in this work is versatile, potentially useful for applications beyond law enforcement.
Year
DOI
Venue
2002
10.1016/S0377-2217(01)00264-8
European Journal of Operational Research
Keywords
Field
DocType
Artificial intelligence,Societal problem analysis,Case-based reasoning,Policing
Software tool,Data-driven,Information technology,Computer science,Knowledge management,Software,Enforcement,Law enforcement,Case-based reasoning,Information sharing
Journal
Volume
Issue
ISSN
141
3
0377-2217
Citations 
PageRank 
References 
37
1.55
8
Authors
2
Name
Order
Citations
PageRank
Michael Redmond17714.00
Alok Baveja212011.99