VPRED: Violence Prediction Software

Paulo Shakarian (Inventor)

Research output: Patent

Abstract

Gang violence in the United States accounts for 20 to 50 percent of homicides in many major cities each year. Law enforcement have existing data on many of these groups, such as the underlying social network structure. This information has previously proven useful in enabling smart policing tactics and improving law enforcement's understanding of a gang's organizational structure. However, there is still a need for tools that will enable more focused policing. By better understanding and predicting patterns of violence, police can more efficiently and effectively reduce gang violence. Researchers at Arizona State University have developed a psychosocial profiling software tool to identify violent criminal offenders. This tool implements a number of techniques for social network monitoring and combines the information in a way to better predict the chance of a criminal being violent. In cases where the entire network was known, the software obtained a precision rate of 89% and a recall rate of 78%. These results out-perform current approaches used by law-enforcement. This software tool could facilitate more focused and effective policing efforts, thereby reducing gang violence and deaths. Potential Applications ?Law enforcement ?Violence prediction and prevention ?Gang networks ?Terrorist networks Benefits and Advantages ?Improvement on Existing Techniques Higher precision and recall rates than current violence-prediction methods. ?Increased Accuracy - Lower number of false positives. ?Proven Results Evaluated using real-world offender data from the Chicago Police Department. Download Original PDF For more information about the inventor(s) and their research, please see Dr. Paulo Shakarian's directory webpage
Original languageEnglish (US)
StatePublished - Mar 24 2015

Fingerprint

violence
law enforcement
offender
social network
police
organizational structure
tactics
homicide
software
monitoring
death
Group

Cite this

@misc{a7015c19d4a044809ae3d9cfc0bdc48d,
title = "VPRED: Violence Prediction Software",
abstract = "Gang violence in the United States accounts for 20 to 50 percent of homicides in many major cities each year. Law enforcement have existing data on many of these groups, such as the underlying social network structure. This information has previously proven useful in enabling smart policing tactics and improving law enforcement's understanding of a gang's organizational structure. However, there is still a need for tools that will enable more focused policing. By better understanding and predicting patterns of violence, police can more efficiently and effectively reduce gang violence. Researchers at Arizona State University have developed a psychosocial profiling software tool to identify violent criminal offenders. This tool implements a number of techniques for social network monitoring and combines the information in a way to better predict the chance of a criminal being violent. In cases where the entire network was known, the software obtained a precision rate of 89{\%} and a recall rate of 78{\%}. These results out-perform current approaches used by law-enforcement. This software tool could facilitate more focused and effective policing efforts, thereby reducing gang violence and deaths. Potential Applications ?Law enforcement ?Violence prediction and prevention ?Gang networks ?Terrorist networks Benefits and Advantages ?Improvement on Existing Techniques Higher precision and recall rates than current violence-prediction methods. ?Increased Accuracy - Lower number of false positives. ?Proven Results Evaluated using real-world offender data from the Chicago Police Department. Download Original PDF For more information about the inventor(s) and their research, please see Dr. Paulo Shakarian's directory webpage",
author = "Paulo Shakarian",
year = "2015",
month = "3",
day = "24",
language = "English (US)",
type = "Patent",

}

TY - PAT

T1 - VPRED: Violence Prediction Software

AU - Shakarian, Paulo

PY - 2015/3/24

Y1 - 2015/3/24

N2 - Gang violence in the United States accounts for 20 to 50 percent of homicides in many major cities each year. Law enforcement have existing data on many of these groups, such as the underlying social network structure. This information has previously proven useful in enabling smart policing tactics and improving law enforcement's understanding of a gang's organizational structure. However, there is still a need for tools that will enable more focused policing. By better understanding and predicting patterns of violence, police can more efficiently and effectively reduce gang violence. Researchers at Arizona State University have developed a psychosocial profiling software tool to identify violent criminal offenders. This tool implements a number of techniques for social network monitoring and combines the information in a way to better predict the chance of a criminal being violent. In cases where the entire network was known, the software obtained a precision rate of 89% and a recall rate of 78%. These results out-perform current approaches used by law-enforcement. This software tool could facilitate more focused and effective policing efforts, thereby reducing gang violence and deaths. Potential Applications ?Law enforcement ?Violence prediction and prevention ?Gang networks ?Terrorist networks Benefits and Advantages ?Improvement on Existing Techniques Higher precision and recall rates than current violence-prediction methods. ?Increased Accuracy - Lower number of false positives. ?Proven Results Evaluated using real-world offender data from the Chicago Police Department. Download Original PDF For more information about the inventor(s) and their research, please see Dr. Paulo Shakarian's directory webpage

AB - Gang violence in the United States accounts for 20 to 50 percent of homicides in many major cities each year. Law enforcement have existing data on many of these groups, such as the underlying social network structure. This information has previously proven useful in enabling smart policing tactics and improving law enforcement's understanding of a gang's organizational structure. However, there is still a need for tools that will enable more focused policing. By better understanding and predicting patterns of violence, police can more efficiently and effectively reduce gang violence. Researchers at Arizona State University have developed a psychosocial profiling software tool to identify violent criminal offenders. This tool implements a number of techniques for social network monitoring and combines the information in a way to better predict the chance of a criminal being violent. In cases where the entire network was known, the software obtained a precision rate of 89% and a recall rate of 78%. These results out-perform current approaches used by law-enforcement. This software tool could facilitate more focused and effective policing efforts, thereby reducing gang violence and deaths. Potential Applications ?Law enforcement ?Violence prediction and prevention ?Gang networks ?Terrorist networks Benefits and Advantages ?Improvement on Existing Techniques Higher precision and recall rates than current violence-prediction methods. ?Increased Accuracy - Lower number of false positives. ?Proven Results Evaluated using real-world offender data from the Chicago Police Department. Download Original PDF For more information about the inventor(s) and their research, please see Dr. Paulo Shakarian's directory webpage

M3 - Patent

ER -