Justice Modelling @ Griffith. Youth Justice Conferences and Indigenous Over-representation: Micro Simulation Case Study.



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Transcription:

Youth Justice Conferences and Indigenous Over-representation: Micro Simulation Case Study Anna Stewart

Aim of presentation provide an example of the use of simulation modelling for examining a policy initiative Describe the policy initiative Describe simulation modelling Compare two policy scenarios Discuss the implications 2

Policy Initiative 2001 Queensland Aboriginal and Torres Strait Islander Justice Agreement reduce the rate of Indigenous people coming into contact with the CJS by the year 2011 there will be a 50% reduction in the rate of Indigenous incarceration Need to reduce the number of Indigenous young people in the Juvenile Justice System 3

2001 - Juvenile Justice System over representation in the juvenile justice system of indigenous children 4.4% of the 10-17 year old population Indigenous 35% of court appearances 57% of young people in detention proportion of young people with a finalised juvenile court appearance in the population 39% of Indigenous males 7% of non-indigenous males 13% of Indigenous females 2% of non-indigenous females 4

Youth Justice Conferencing diversionary program to address offending behaviour introduced in Queensland 1997 2001 in pilot mode available state wide in 2004 was identified in the 2003 Justice Negotiation Group Progress Report as a process to reduce over representation Will YJC reduce over-representation by Indigenous children in the juvenile justice system by 2011? 5

Simulation Modelling Provides a tool for examining policy impact out over time short term and long term impact what if questions Allows experimentation with the system out over time Build a computer model of the system develop scenarios run different scenarios out over time multiple times to reduce variation compare the relative impact Standard tool in weather forecasting, economics, engineering 6

Juvenile Justice Simulation Model funded by an 2001-2003 Australian Research Council Linkage grant Aim: to develop a computer model which can be used to test the relative effect of alternative policies and program interventions The model is NOT: A tool for projecting custody numbers A tool for providing absolute projections of justice system costs or numbers A crystal ball (which sees into the future) 7

Juvenile Justice Simulation Model Computer model of the juvenile justice system Using Extend micro-simulation package Model the behaviour of individual entities flowing through the YJ system. Aggregate behaviour of individuals to determine overall system behaviour Use rates and probabilities determined from operational data to develop model parameters 1983 and 1984 Birth cohort & 1999/00, 2000/01, 2001/02 and 2002/03 snapshots longitudinal and cross sectional analysis Finalised appearances of young people in court 8

Schematic Diagram of Juvenile Justice Simulation Model Population New Offenders Offence Type? Court Outcome? 9 Yes Reappear? <17 No Exit

Schematic Diagram of Juvenile Justice Simulation Demographics: Model Population Age SexNew Offenders Indigenous Status Region Offence Type? Court Outcome? 10 Yes Reappear? <17 No Exit

Schematic Diagram of Juvenile Justice Simulation Model Population New Offenders Offence types: Offences against the person Break and enter, burglary Theft andoffence related Type? offences Drug offences Traffic offences Public order offences Property damage Other offences Court Outcome? 11 Yes Reappear? <17 No Exit

Schematic Diagram of Juvenile Justice Simulation Model Population New Offenders Offence Type? Court Outcomes: Divert from formal order Non supervised Court Outcome? order Community supervised order Detention order - suspended Detention order - served 12 Yes Reappear? <17 No Exit

Important model decision points Prediction of court outcomes Decision tree analysis was undertaken, but results were inconclusive Logistic regression used to determine significant predictive factors Reappearance Desistance and time to reappearance Survival analysis based on predictors found to be significant in Cox regression Statistical distributions fitted to survival curves 13

3500 3000 2500 2000 1500 1000 500 0 Baseline Results (for 2002/03) Court Diversion Non Supervised Community Supervised Non-Indigenous IRO Detention Court Diversion Non Supervised Community Supervised 14 Indigenous Actual IRO Sim Detention

Schematic Diagram of Juvenile Population Justice Simulation Model Exit New Offenders Crime Prevention Offence Type? Diversion Court Outcome? 15 Criminal Justice Program Leverage Points Yes Reappear? <17 No Exit

System Experiments Baseline Simulation Scenario 1: Introduce YJC state wide Scenario 2: Introduce YJC and target Indigenous young people What difference do these changes make to over representation by indigenous young people in 2011? 16

Baseline Assumptions Do nothing no introduction of YJC only change is demographic Outcome in 2011 increase in court appearances 6% non-indigenous children 30% Indigenous children increase in population of 10 17 year old indigenous children (4.4% to 5.7%) proportion of Indigenous to non-indigenous increases over representation stays the same 17

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Scenario 1: Introduce YJC Queensland wide Assumptions Referral rates different for different offences different for first, second, and third appearance same for Indigenous and non-indigenous young people Efficacy rates 15% reduction in reappearances Luke and Lind (2002) evaluation of NSW conferencing 19

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Scenario 1: Outcome in 2011 reduction in court appearances due to diversionary nature of YJC 5.6% Indigenous 8.8% non-indigenous due to non-reappearance 5.2% Indigenous 5.6% non Indigenous total reduction 11% Indigenous 14% non-indigenous 3% increase in over representation by Indigenous young people in court appearances 23

Scenario 2: Target Indigenous children YJC Assumptions 100% of Indigenous children conferenced at first offence same efficacy 15% subsequent offences same rate as non- Indigenous children 24

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Scenario 2: Outcome in 2011 reduction in court appearances due to diversionary nature of YJC 27.2% Indigenous 8.8% non-indigenous Reduction due to non-reappearance 22.4% Indigenous 5.6% non Indigenous total reduction in court appearances 50% reduction in Indigenous appearances 14% reduction in non Indigenous appearances 36% decrease in over representation in court appearances 27

Implications for the Justice Agreement YJC could result in a reduction in over representation only if seriously targeted at Indigenous young people no guarantee the efficacy will remain the same need to try other interventions 16.7% offend criminal justice system interventions are unlikely to make dramatic difference need to target initiation of offending early interventions community based interventions 28

Simulation modelling provides a tool for examining the relative impact of different interventions out over time provides an opportunity to experiment with different interventions to reach targets www.griffith.edu.au/jmag 29

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Questions? Policy implications can the criminal justice system reduce overrepresentation? Simulation modelling why is it that simulation modelling is so rarely used in the justice system? how do we ensure we have the evaluations necessary to do simulation modelling? 32