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Simulation Strategies to Reduce Recidivism: Risk Need Responsivity (RNR) Modeling for the Criminal Justice System - Couverture souple
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Simulation Strategies to Reduce Recidivism
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ISBN 10 : 1493902059
ISBN 13 : 9781493902057
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Pulls together current research on simulation modelling and its applications for criminal justiceProvides methodology for planning and carrying out a simulation model Identifies areas of new and emerging research, for future developmentApril . N° de réf. du vendeur 136144406
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Simulation Strategies to Reduce Recidivism: Risk Need Responsivity (RNR) Modeling for the Criminal Justice System
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Simulation Strategies to Reduce Recidivism
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Springer New York Jul 2015, 2015
ISBN 10 : 1493902059
ISBN 13 : 9781493902057
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware - 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. 328 pp. Englisch. N° de réf. du vendeur 9781493902057
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Simulation Strategies to Reduce Recidivism
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Springer New York, Springer US Jul 2015, 2015
ISBN 10 : 1493902059
ISBN 13 : 9781493902057
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 328 pp. Englisch. N° de réf. du vendeur 9781493902057
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Simulation Strategies to Reduce Recidivism : Risk Need Responsivity (RNR) Modeling for the Criminal Justice System
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Springer New York, Springer US, 2015
ISBN 10 : 1493902059
ISBN 13 : 9781493902057
Neuf
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9781493902057
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Simulation Strategies to Reduce Recidiv (eng)
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Simulation Strategies to Reduce Recidivism | Risk Need Responsivity (RNR) Modeling for the Criminal Justice System
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Taschenbuch. Etat : Neu. Simulation Strategies to Reduce Recidivism | Risk Need Responsivity (RNR) Modeling for the Criminal Justice System | April Pattavina (u. a.) | Taschenbuch | xi | Englisch | 2015 | Springer US | EAN 9781493902057 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 104373374
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Simulation Strategies to Reduce Recidivism: Risk Need Responsivity (RNR) Modeling for the Criminal Justice System
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ISBN 13 : 9781493902057
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