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Simulation Strategies to Reduce Recidivism

Risk Need Responsivity (RNR) Modeling for the Criminal Justice System

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  • © 2013

Overview

  • Pulls together current research on simulation modelling and its applications for criminal justice

  • Provides methodology for planning and carrying out a simulation model Identifies areas of new and emerging research, for future development

  • Includes supplementary material: sn.pub/extras

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Table of contents (11 chapters)

  1. Advances in Simulation Modeling for Criminal Justice Planning and Management

  2. Simulation Inputs for an RNR Model

  3. Conclusion

Keywords

About this book

 The use of simulation modeling in criminal justice dates back to the 1970s. Early models were developed to capture the realities of the criminal justice system, to identify what changes were needed, and how small changes would affect the overall picture.  Significant time and effort were devoted to these projects and although they achieved some success, the complex nature of the criminal justice system and the difficulties associated with improving and maintaining the models prohibited wide spread adoption in the field.  Some of the problems with early simulation projects were the lack of data to validate models, the lack of technical skills needed by staff to design and build the models, and the technical difficulties with software programming  to transform models into computerized representations.
As simulation modeling has becoming a more popular technique across many disciplines, and technology as well as the technical skills of researchers has improved, this book revisits the concept of simulation modeling with new applications for the criminal justice system.  The wider availability of data has made for more opportunity to verify and validate models; computing software has become more available and easier to use; and the capacity for visualization and communication of models shows promise for the future of simulation in criminal justice. 
The time has come to examine the past, present, and future contributions of simulation modeling to the field of criminal justice. This work provides a central resource of information for the current state of simulation modeling, and overview of existing techniques and cases of success, and directions for future development.  This work will be an important resource for researchers in criminal justice and related fields, as well as those studying policy-related topics.

Editors and Affiliations

  • Department of Criminology, Law, and Soci, George Mason University, Fairfax, USA

    Faye S. Taxman

  • , School of Criminology and Justice Studie, University of Massachusetts Lowell, Lowell, USA

    April Pattavina

About the editors

April Pattavina, Ph.D. is an Associate Professor in the Department of Criminal Justice and Criminology at the University of Massachusetts Lowell. Dr. Pattavina has written extensively on the use of technology in the criminal justice system. Faye S. Taxman, Ph.D.is a University Professor in the Criminology, Law and Society Department and Director of the Center for Advancing Correctional Excellence at George Mason University. Dr. Taxman has over 30 years of experience in conducting research in the areas of sentencing, courts, corrections, and organizational change.

Bibliographic Information

  • Book Title: Simulation Strategies to Reduce Recidivism

  • Book Subtitle: Risk Need Responsivity (RNR) Modeling for the Criminal Justice System

  • Editors: Faye S. Taxman, April Pattavina

  • DOI: https://doi.org/10.1007/978-1-4614-6188-3

  • Publisher: Springer New York, NY

  • eBook Packages: Humanities, Social Sciences and Law, Social Sciences (R0)

  • Copyright Information: Springer Science+Business Media New York 2013

  • Hardcover ISBN: 978-1-4614-6187-6Published: 06 June 2013

  • Softcover ISBN: 978-1-4939-0205-7Published: 24 July 2015

  • eBook ISBN: 978-1-4614-6188-3Published: 05 June 2013

  • Edition Number: 1

  • Number of Pages: XI, 315

  • Number of Illustrations: 30 b/w illustrations

  • Topics: Criminology and Criminal Justice, general, Social Policy

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