Procedures for preventing juvenile violence in Switzerland: The Zurich model

Endrass, Jérôme; Rossegger, Astrid; Urbaniok, Frank; Laubacher, Arja; Pierce, Christine Schnyder; Moskvitin, Konstantin

doi:10.1002/yd.388

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…Efforts to alert schools to the potential for hostile action by students have been implemented in some U.S. states and other countries (e.g., Cornell, Sheras, Gregory, & Fan, 2009; Endrass et al, 2011). Although school shooters often “leak” their intentions to others in the community (Fein et al, 2002), these messages are typically not taken seriously by their peers.…”

Section: Data Mining: Can It Predict Youth Violence?mentioning

confidence: 99%

Youth violence: What we know and what we need to know.

Bushman¹,

Newman²,

Calvert³

et al. 2016

American Psychologist

142

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School shootings tear the fabric of society. In the wake of a school shooting, parents, pediatricians, policymakers, politicians, and the public search for "the" cause of the shooting. But there is no single cause. The causes of school shootings are extremely complex. After the Sandy Hook Elementary School rampage shooting in Newtown, Connecticut, we wrote a report for the National Science Foundation on what is known and not known about youth violence. This article summarizes and updates that report. After distinguishing violent behavior from aggressive behavior, we describe the prevalence of gun violence in the United States and age-related risks for violence. We delineate important differences between violence in the context of rare rampage school shootings, and much more common urban street violence. Acts of violence are influenced by multiple factors, often acting together. We summarize evidence on some major risk factors and protective factors for youth violence, highlighting individual and contextual factors, which often interact. We consider new quantitative "data mining" procedures that can be used to predict youth violence perpetrated by groups and individuals, recognizing critical issues of privacy and ethical concerns that arise in the prediction of violence. We also discuss implications of the current evidence for reducing youth violence, and we offer suggestions for future research. We conclude by arguing that the prevention of youth violence should be a national priority.

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Section: Data Mining: Can It Predict Youth Violence?mentioning

confidence: 99%

Youth violence: What we know and what we need to know.

Bushman¹,

Newman²,

Calvert³

et al. 2016

American Psychologist

142

View full text Add to dashboard Cite

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“…Preventing recidivism, however, means taking responsibility not only for the time of detention, but also after release. For this, thorough risk assessment and tight collaboration of different professions are necessary (Endrass et al, 2011). Other core principles in forensic mental health care are differentiation—which stands for flexible adaptation of solutions to the ever-changing challenges in forensic treatment—and multidisciplinarity (Urbaniok, 2000a; 2000b).…”

Section: Central Aspects In Forensic Mental Healthmentioning

confidence: 99%

Professionals’ Attitudes Towards the Importance of Core Principles for the Mental Health Treatment of Offenders in Correctional Facilities

Noll¹,

Borchard²,

Rosseger³

et al. 2020

The Prison Journal

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The efficacy of offender therapy depends on professionals’ sharing common attitudes regarding basic principles of offender treatment. Research in this area is lacking. This study explored attitudes of 264 professionals involved in or collaborating with the largest correctional system in Switzerland. The very encouraging findings are that the core ideas and general principles have been assimilated due to the long-lasting collaboration between professionals and institutions, as well as the alignment of standardized methods of intervention.

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