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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260427T060018Z
UID:https://csl.mpg.de/events/44130/911714
DTSTART:20260429T150000Z
DTEND:20260429T170000Z
CLASS:PUBLIC
CREATED:20251209T064007Z
DESCRIPTION:The first part of the lecture offers a brief overview of curren
 t international findings on recidi­vism rates of sexual (re-)offending\, 
 followed by an introduction to the main methods and models used in recidiv
 ism risk assessment. Next\, selected recent developments and research find
 ings across these methodological groups are presented. The lecture also ex
 amines the relevance of mental health diagnoses for predicting reoffense a
 nd the application of machine learning algorithms in applied recidivism ri
 sk assessment settings. Finally\, it addresses the specific challenges and
  potential solutions in the comparatively new field of recidivism risk ass
 essment for digital sexual violent behaviors (e.g.\, sexual offenses invol
 ving the use and/or production of <i>Child Sexual Exploitation Material</i
 > [CSEM] or cybergrooming).\nVortragender: Prof. Dr. Martin Rettenberger (
 Centre for Criminology\, Wiesbaden\, and Department of Psychology\, Johann
 es Gutenberg University\, Mainz)
LAST-MODIFIED:20260121T060154Z
LOCATION:Freiburg\, Fürstenbergstr. 19\, Raum: Seminarraum (F 113) | Gäst
 e sind herzlich eingeladen\; Anmeldung erbeten
ORGANIZER;CN="Max-Planck-Institut zur Erforschung von Kriminalität, Sicher
 heit und Recht":mailto:c.hillemanns@csl.mpg.de
SUMMARY:Max-Planck-Gastvortrag: Recidivism and Risk Assessment Research on 
 Sexual Offenders: Advances and Current Developments
URL;VALUE=URI:https://csl.mpg.de/events/44130/911714
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