Youth | Insight Maker

This model displays the effects of youth crime and the influence of community expenditure, social support, and policing in the town of Bourke, NSW.

The traditional lifestyle for youth in this town involves either a chosen path of committing crimes, or, that of community activity and various forms of education.

The model has been designed to mimic a system where community expenditure and support services are adopted in order to inject a positive lifestyle for the youth population. The phenomena studied in this simulation is the balance between policing, community support and social influence versus not using them.

Assumptions
-1000 Youth Population

-Youth are either influenced by criminal activity or by productive educational activities.

- Adoption rate of community activities is influenced by personality, relating to current personal skill level of youth and willingness.

-If youth you do not become involved in community activity or some form of Education, then they turn to the path of crime.

-Punishment facility time is up to 12 months with a 2 year probation period

-Community expenditure and support only begins in the probation period, unless “Juvenile Support” slider is used.

-For the purpose of this study on youth crime and support before a crime is committed, we do not include a possibility of relapse in the rehabilitation phase.

STOCKS

Youth
Crime – all offences committed by those under 18
Punishment Facility – juvenile detention
Probation – release from punishment
Education system – various programs

VARIABLES

Policing Units – Policing Bourke's criminal activity, and convicting after a crime has been committed.

Juvenile Support Units – The variable change in crime IF the community funds Support Units for youth before a crime is committed.

Social Support Units – The number of social support units available for released offenders during rehabilitation phase.

Community expenditure – the amount of time and money being spent on social services and policing.

Birth rate, crime rate, dicharge rate, recidivism & conviction rate

INTERESTING RESULTS

Slide any of the 3 variables to the extreme.

This model shows that adoption rate of a positive lifestyle is directly influenced by social influences.

1/ Juvenile Support Unit impact

Press Simulate.

Slide Juvenile Support Units to the extreme. Simulate again.

Juxtaposition of Juvenile Support impact on Behavior Graph shows that Crime and Reoffend rates drop significantly. More people turn to law-abiding positive activity.

This will again all change with the manipulation of the Social Support unit slider…..

2/ Social Support Unit impact

Social Support Units only influence those released from the Punishment facility. The more social services on hand to support rehabilitation phase the less chance of committing crime for the second time, with Reoffend rates dropping significantly when the Social Support Units Slider is adjusted to the extreme.

Rehabilitation rates only increase marginally, in spite of more social support feeding into that phase.

The greatest impact is shown on Law-Abiding and Crime. How could this be? A logical conclusion is that there is a finite number of youth in the community and those who have received positive social support during a learning phase of rehabilitation, then go on to influence their friends, their family, and have a positive influence on those around them.

3/ Police Unit Impact

Slide Policing Units to the extremes. Simulate. Policing Units Graph shows there is a significant decrease in Reoffend rates, and a higher rate of Conviction.

Curiously, rehabilitation rates drop and crime rates go up. How could this happen? A logical conclusion is that conviction and punishment is not a crime deterrent. It needs the added influence of social support services for there to be a positive impact on decreasing criminal instincts and activity on the whole.

Conclusions

Social support and home visits need to happen in the flow between Youth Population and Crime - “Juvenile Support Units”.

Investment in youth via these juvenile social support officers before they commit an offence, limits the amount of criminal activity over time. So, crime effectively decreases with the direct influence of social services at a young age.

Equally, with more police presence in the community, for those tempted to re-offend, they have a deterrent.

The most efficient management of the community issues faced in Bourke however lies with a combination of both Policing and Social Support services at all levels within the community.

Clone of Impact of Social Services and Police on Youth Crime

Sravya Sri Egalapati

Youth community of Bourke

Youth Crime rate in Bourke

An educated assumption was made with the youth crime rate in Bourke. According to the ABS the youth crime rate of Australia is 14% in 2013-14. However, taking into consideration the poor standards of living and lack of education and care for youth in Bourke, it is expected that the youth crime will be more then double so the figure 40% was used in this model.

Model Explanation

This simple model starts off in town, with estimated 500 youth in the community. As said above 40% is expected to commit crime with a percentage of the crime population getting away not caught. This number depends on how many are caught and also how many police are out in the town. According to the "Boscar" (Bureau of Crime Statistics and Research) NSW's conviction rate is 85.7%. Even though the conviction is relatively high, Bourke's conviction rate was set at 60% due to the high level of crime against the number of police available.

In juvenile detention the expected number of youth is 120, with 50% of those being released. There is a delay of 6months during this process because whoever is convicted has to stay inside the juvenile detention for 6months before being released.

Those youths that does not commit crime has the choice to be a member of a sports team. These sports team has been funded by the community and the government through "Youth redevelopment Expenditure". This system allows teenagers in Bourke to be away from crime committing environment, hence reducing Youth crime rate in Bourke.

The two sliders "Police" and "Youth Redevelopment Expenditure" indicates the intensity of spending on these two subjects. The result of Bourke's crime rate and sports team engagement changes depending on these sliders.

Clone of MGMT220 Bourke Youth Community (Andrew Sohn 43661769)

Zaiceva Ekaterina

TRUDIE EARLE - 11667847

MKT563 - Big Data & Marketing Analytics

This is a conceptual model that encapsulates the relationships between youth, community and police & justice within the town of Bourke, located in New South Wales, Australia. The conceptual model is interactive and when the funding and engagement models are changed, the rates will increase or decrease in the simulation. These sliders can be found at the bottom of this description.

Bourke is a municipality located on the Darling River, 760km north-west of Sydney. The population of Bourke is 2634 (2017) of which 829 people identify as Aboriginal or Torres Strait Islander. This is approximately 31% of the population. Maranguka translates in local Ngemba language to "caring for others" and thus is the name given to the Bourke Reinvestment Project. The project is a collaborate works between the local community and Just Reinvest NSW and aims to break down the high rates of juvenile crime, domestic violence and criminal activity that made Bourke one of the most dangerous places in Australia.

By diverting the funds usually allocated to police and criminal systems into the community, the project has seen immense success particularly in youth and education sectors, with increased rates of Year 12 Retention, the completion of VET Courses and an increase in driving licenses.

Assumptions:

* Total number of Youths in Bourke based on the 2016 Consensus Data via the ABS is 903 (0-24 years)

* There was a 66% retention rate of Year 12 students in 2017

* 115 driving licenses were allocated in 2017 and this number will increase with community engagement and funding

* 56% of juveniles committed crime prior to the project

* Of this 56%, 51 juveniles breached bail

* 50% of juvenile offenders will be rehabilitated and find employment or education

Variables:

* Community Funding

* Community Engagement

* Police & Justice Funding

In conclusion, rates of juvenile crime will decrease with increased community funding and engagement. This will also lead to increased year 12 retention, completion and the increase of driving licenses. The assumption is that increased education will also lead to increased employment.

Resources:

Allam, L. (2018, October 8). Unique community policing sees crime rates plunge in Bourke. The Guardian. https://www.theguardian.com/australia-news/2018/oct/09/unique-community-policing-sees-rates-plunge-in-bourke

Australian Bureau of Statistics. (2016). 2016 Census QuickStats: Bourke (A). Quickstats.censusdata.abs.gov.au. https://quickstats.censusdata.abs.gov.au/census_services/getproduct/census/2016/quickstat/LGA11150?opendocument

KPMG. (2018). Maranguka Justi ce Rei nvestment Proj ect IMPACT ASSESSMENT. https://www.justreinvest.org.au/wp-content/uploads/2018/11/Maranguka-Justice-Reinvestment-Project-KPMG-Impact-Assessment-FINAL-REPORT.pdf

Milliken, R. (2018, December 10). Breakthrough at Bourke. Inside Story. https://insidestory.org.au/breakthrough-at-bourke/

The Bourke Maranguka Reinvestment Program

Trudie Earle

About the Model

This model is designed to simulate the youth population in Bourke, specifically focusing on the number of criminals and incarcerated dependent on a few key variables.

Within the model, a young person living in Bourke can be classified as being in any of five states:

Young Community Member: The portion of the youth population that is not committing crime and will not commit crime in the future. Essentially the well behaved youths. A percentage of these youths will become alienated and at risk.

Alienated and At Risk Youths: The youths of Bourke that are on the path of becoming criminals, this could be caused by disruptive home lives, alcohol and drug problems, and peer pressure, among other things.

Criminal: The youths of Bourke who are committing crimes. Of these criminals a percentage will be caught and convicted and become imprisoned, while the remainder will either go back to being at risk and commit more crimes, or change their behaviour and go back to being a behaving community member.

Imprisoned: The youths of Bourke who are currently serving time in a juvenile detention centre. Half of the imprisoned are released every period at a delay of 6 months.

Released: Those youths that have been released from a detention centre. All released youths either rehabilitate and go back to being a community member or are likely to re-offend and become an alienated and at risk youth.

The variables used in the model are:

Police- This determines the police expenditure in Bourke, which relates to the number of police officers, the investment in surveillance methods and investment in criminal investigations. The level of expenditure effects how many youths are becoming criminals and how many are being caught. An increase in police expenditure causes an increase in imprisoned youths and a decrease in criminals.

Community Engagement Programs- The level of investment in community engagement programs that are targeted to keep youths in Bourke from becoming criminals. The programs include sporting facilities and clubs, educational seminars, mentoring programs and driving lessons. Increasing the expenditure in community engagement programs causes more young community members and less criminals and at risk youths.

Community Service Programs- The level of investment in community service programs that are provided for youths released from juvenile detention to help them rehabilitate and reintegrate back into the community. An increase in community service expenditure leads to more released prisoners going back into the community, rather than continuing to be at risk. Since community service programs are giving back to the community, the model also shows that an increase in expenditure causes a decrease in the amount of at risk youths.

All three of these variables are adjustable. The number of variables has been kept at three in order to ensure the simulation runs smoothly at all times without complicated outputs, limitations have also been set on how the variables can be adjusted as the simulation does not act the same out of these boundaries.

Key Assumptions:

The model does not account for the youths’ memory or learning.

There is no differentiation in the type of criminals and the sentences they serve. Realistically, not all crimes would justify juvenile detention and some crimes would actually have a longer than six-month sentence.

The constants within in the calculations of the model have been chosen arbitrarily and should be adjusted based on actual Bourke population data if this model were to be a realistic representation of Bourke’s population.

The model assumes that there are no other factors affecting youth crime and imprisonment in Bourke.

There are 1500 youths in Bourke. At the beginning of the simulation:

Young Community Member = 700

Alienated and At Risk Youth = 300

Criminal = 300

Imprisoned = 200

Noteworthy observations:

Raising Police expenditure has a very minimal effect on the number of at risk youths. This can be clearly seen by raising Police expenditure to the maximum of twenty and leaving the other two variables at a minimum. The number of Alienated and at Risk Youths is significantly higher than the other states.

Leaving Police expenditure at the minimum of one and increasing community development programs and community service programs to their maximum values shows that, in this model, crime can be decreased to nearly zero through community initiatives alone.

Leaving all the variables at the minimum position results in a relatively large amount of crime, a very low amount of imprisoned youth, and a very large proportion of the population alienated and at risk.

An ideal and more realistic simulation can be found by using the settings: Police = 12, Community Engagement Programs = 14, Community Service Programs = 10. This results in a large proportion of the population being young community members and relatively low amounts of criminals and imprisoned.

Clone of Bourke Justice Reinvestment - Nicholas Hayward 44553625

Sarah Herring

The small town of Bourke is located in a remote area northwest of New South Wales, leaving the town's youth in a vulnerable position to commit crime and get into trouble. This issue raises questions about the best approach to go about preventing crime in Bourke.

The following insight indicates the level of crime in the town of Bourke in correlation to the levels of Police and Community Engagement. The model demonstrates how different variables throughout the community can improve the overall crime rate.

Police Expenditure is a major variable in this situation as investing in more police officers will increase the chances of convicting the youth population and placing them in juvenile detention. Additionally, placing an emphasis on police activity will make kids less inclined to commit crimes.

However, our goal is to prevent the youth from wanting to commit crime in the first place. One of the major factors in regards to the high crime rate of the town is due to the lack of activities for the minors to engage in. Providing an Engagement Program is key to keeping kids preoccupied and focused on productive activities. Various clubs will be included in the program depending on the interests of the kids. Since football is a popular activity throughout the community, investing in a Football Club is a wise decision. This club will play a key role in reducing the amount of boredom within the youth population and leave them less inclined to cause mischief.

The insight demonstrates how the motivation to commit crime is reduced when the level of boredom is low and there are activities to engage in. In this scenario, the more engaged the youth is, the more likely they are to continue down this positive path and simply return home after the activity is over (Labeled "Darren") and not commit crimes.

Observing the model, it is evident that Community engagement programs play a significant role in keeping crime to a minimum. The value slider gives you the option to examine the crime rate when police activity is high and engagement program is low & vice versa. The simulation indicates that crime is consistently lower when there is a high concentration on community engagement. Incorporating the data included in the model to resolve the crime problem in Bourke; there should be heavy investment in Engagement Programs while keeping a moderate level of police active at all times to ensure punishment for the youth who commit crime despite the programs.

BOURKE Crime vs. Engagement

Brett Ely

Youth community of Bourke

Youth Crime rate in Bourke

An educated assumption was made with the youth crime rate in Bourke. According to the ABS the youth crime rate of Australia is 14% in 2013-14. However, taking into consideration the poor standards of living and lack of education and care for youth in Bourke, it is expected that the youth crime will be more then double so the figure 40% was used in this model.

Model Explanation

This simple model starts off in town, with estimated 500 youth in the community. As said above 40% is expected to commit crime with a percentage of the crime population getting away not caught. This number depends on how many are caught and also how many police are out in the town. According to the "Boscar" (Bureau of Crime Statistics and Research) NSW's conviction rate is 85.7%. Even though the conviction is relatively high, Bourke's conviction rate was set at 60% due to the high level of crime against the number of police available.

In juvenile detention the expected number of youth is 120, with 50% of those being released. There is a delay of 6months during this process because whoever is convicted has to stay inside the juvenile detention for 6months before being released.

Those youths that does not commit crime has the choice to be a member of a sports team. These sports team has been funded by the community and the government through "Youth redevelopment Expenditure". This system allows teenagers in Bourke to be away from crime committing environment, hence reducing Youth crime rate in Bourke.

The two sliders "Police" and "Youth Redevelopment Expenditure" indicates the intensity of spending on these two subjects. The result of Bourke's crime rate and sports team engagement changes depending on these sliders.

Clone of MGMT220 Bourke Youth Community (Andrew Sohn 43661769)

Laksh Taneja

About the Model

This model is designed to simulate the youth population in Bourke, specifically focusing on the number of criminals and incarcerated dependent on a few key variables.

Within the model, a young person living in Bourke can be classified as being in any of five states:

Young Community Member: The portion of the youth population that is not committing crime and will not commit crime in the future. Essentially the well behaved youths. A percentage of these youths will become alienated and at risk.

Alienated and At Risk Youths: The youths of Bourke that are on the path of becoming criminals, this could be caused by disruptive home lives, alcohol and drug problems, and peer pressure, among other things.

Criminal: The youths of Bourke who are committing crimes. Of these criminals a percentage will be caught and convicted and become imprisoned, while the remainder will either go back to being at risk and commit more crimes, or change their behaviour and go back to being a behaving community member.

Imprisoned: The youths of Bourke who are currently serving time in a juvenile detention centre. Half of the imprisoned are released every period at a delay of 6 months.

Released: Those youths that have been released from a detention centre. All released youths either rehabilitate and go back to being a community member or are likely to re-offend and become an alienated and at risk youth.

The variables used in the model are:

Police- This determines the police expenditure in Bourke, which relates to the number of police officers, the investment in surveillance methods and investment in criminal investigations. The level of expenditure effects how many youths are becoming criminals and how many are being caught. An increase in police expenditure causes an increase in imprisoned youths and a decrease in criminals.

Community Engagement Programs- The level of investment in community engagement programs that are targeted to keep youths in Bourke from becoming criminals. The programs include sporting facilities and clubs, educational seminars, mentoring programs and driving lessons. Increasing the expenditure in community engagement programs causes more young community members and less criminals and at risk youths.

Community Service Programs- The level of investment in community service programs that are provided for youths released from juvenile detention to help them rehabilitate and reintegrate back into the community. An increase in community service expenditure leads to more released prisoners going back into the community, rather than continuing to be at risk. Since community service programs are giving back to the community, the model also shows that an increase in expenditure causes a decrease in the amount of at risk youths.

All three of these variables are adjustable. The number of variables has been kept at three in order to ensure the simulation runs smoothly at all times without complicated outputs, limitations have also been set on how the variables can be adjusted as the simulation does not act the same out of these boundaries.

Key Assumptions:

The model does not account for the youths’ memory or learning.

There is no differentiation in the type of criminals and the sentences they serve. Realistically, not all crimes would justify juvenile detention and some crimes would actually have a longer than six-month sentence.

The constants within in the calculations of the model have been chosen arbitrarily and should be adjusted based on actual Bourke population data if this model were to be a realistic representation of Bourke’s population.

The model assumes that there are no other factors affecting youth crime and imprisonment in Bourke.

There are 1500 youths in Bourke. At the beginning of the simulation:

Young Community Member = 700

Alienated and At Risk Youth = 300

Criminal = 300

Imprisoned = 200

Noteworthy observations:

Raising Police expenditure has a very minimal effect on the number of at risk youths. This can be clearly seen by raising Police expenditure to the maximum of twenty and leaving the other two variables at a minimum. The number of Alienated and at Risk Youths is significantly higher than the other states.

Leaving Police expenditure at the minimum of one and increasing community development programs and community service programs to their maximum values shows that, in this model, crime can be decreased to nearly zero through community initiatives alone.

Leaving all the variables at the minimum position results in a relatively large amount of crime, a very low amount of imprisoned youth, and a very large proportion of the population alienated and at risk.

An ideal and more realistic simulation can be found by using the settings: Police = 12, Community Engagement Programs = 14, Community Service Programs = 10. This results in a large proportion of the population being young community members and relatively low amounts of criminals and imprisoned.

Bourke Justice Reinvestment - Nicholas Hayward 44553625

Nicholas Hayward

4

Child and youth mental health and wellbeing synthesis with a focus on adverse childhood experiences and youth suicide WIP See also added Women and Violence IM

Early Childhood Intervention

Geoff McDonnell

Assignment 3: Complex Systems

Jason Nguyen 43711448

Justice Reinvestment in Bourke

Insight maker was used to model the effects that community development (in the form of TAFE Funding) and extra policing had on the petty crime and juvenile detention rates for the youth of Bourke.

By examining trends in certain relationships associated with the youth of Bourke (i.e. trade skill effectiveness vs. crime rates), we can assume that they parallel with adult community development programs should they be implemented.

About the model

The model works with the youth of Bourke having temptation to commit petty crime (i.e. stealing, assault), since there is not much to do in the town. The amount of crime committed is largely influenced by the amount of TAFE funding and policing implemented.

However, not all youth who commit crime are caught. Those who are caught are sent to juvenile detention, where they serve 6 months (not representative of all crimes, but is the average). A delay represents the 6 months in juvenile detention.

The justice reinvestment plan in Bourke will focus on implementing trade skills via TAFE that the youth can partake in. It is assumed that the more youth that undertake a trade skill, the less crime that will be committed in Bourke. There is a 6 month period where the youth become satisfied with learning the trade skill (represented as a delay), and crime is reduced.

The simulation presents results on 4 types of relationships and their trends. They consist of the default view, trade skill effectiveness on juvenile detention, trade skill effectiveness on crime, and policing vs. caught and not caught rates.

Variables/relationships

The variables are shown in yellow, and relationships are shown as arrows. Variables consist of:

TAFE Funding: As TAFE Funding increases, the amount of youth that undertake a trade skill increases, and crime rates decrease conversely.
Policing: As policing increases, the amount of youth committing crime decreases, while the amount of youth that are caught committing crime and sent to juvenile detention increases.

What is important to note is that any changes to the fixed variables/relationships in this model will cause incorrect simulation of the model for the user. This is because the variables/relationships relate directly to the information produced.

Interesting parameters

As the user increases the values in the sliders, we see a trend of youth committing less crime (which also means less in juvenile detention).

The TAFE funding variable seems to have a greater impact on decreasing crime rates rather than the policing variable.

For example: Set the sliders to these values:

Policing: 25
TAFE Funding: 26

Look at the trade skills vs. juvenile detention simulation. We can see crime rates rise when trade skills aren't largely funded. Then, increase TAFE Funding to 75. Notice that juvenile detention is very low and stays consistently low.

Important notes

The youth that are caught by police and sent to juvenile detention are released 6 months later.
After undertaking a trade skill at TAFE, the youth are engaged for a 6 month period.
These periods are both represented by delays.
No other factors are currently being implemented to reduce crime rates for youth.
The community development program (TAFE funding) and policing effectiveness are assumed to parallel the same effect on the adult population of Bourke. Therefore, we don't need to visually show the adult population.

Conclusion

From the model, we can gather that TAFE funding is highly effective in reducing crime rates in the youth of Bourke.

Assignment3_JasonNguyen_Bourke

Jason Nguyen

An analysis of the impacts on youth outcomes in the town of Bourke.

The model

This model simulates the impact of factors including drug, alcohol, violence and abuse rates, police engagement rates, community funding and education rates on outcomes for youth in the town of Bourke.

Assumptions:

75% of youth are alienated

75% of alienated youth participate in crime

60% of imprisoned youth return to their previous behaviours

85% of those who participate in rehabilitation achieve better outcomes.

90% of those who participate in youth community programs achieve better outcomes

Variables:

Drugs, alcohol, violence and abuse rates - the percentage of youths who have been impacted by these factors. Adjusting this variable shows the impact on how many youths re-offend, and how many seek assistance to participate in community programs.

Police engagement rates - the percentage of instances in which police engage with youths. Adjusting this variable affects the number of youths participating in crimes who go on to be convicted and imprisoned - then leading to rehabilitation.

Community funding - the amount of funding dedicated to community initiatives. Adjusting this variable impacts the efficacy of community and rehabilitation programs.

Education participation rates - the percentage of youths participating in education. Adjusting this variable impacts the success rate of youths in achieving positive outcomes.

Re-offending rates - this is the rate at which offenders re-offend on release from prison. This is left at a steady rate of 60% of offenders to demonstrate the cyclical nature of offending.

Conclusion:

The simulation clearly shows that when rates of police engagement, community funding and education participation are high, the amount of youth achieving positive outcomes increases over time and the need for rehabilitation and juvenile community programs diminishes. Within 3.5 years, more youth are experiencing positive outcomes.

When community funding is eliminated and police engagement and education participation rates are reduced - there is a clear impact on the amount of alienated youth remaining high, demonstrating the importance of these factors.

Assignment 4 - Youth outcomes in Bourke

Kathryn Greensill

Bourke is a remote town approximately 650km from Sydney with a population of 2634. 28% of the population us made up of youths from 19 years old and younger. With a reputation of being one of the most dangerous towns in New South Wales.

To combat this, the Maranguka Justice Reinvestment Project was established to manage the situation with a goal of reducing youth crime through a serious of community projects including Early Years Transition (to prepare children for school) and Drive for Free, a program where volunteer police officers provide free driving lessons.

This model has been developed to demonstrate how youth alienation, police and community development interact with each other.

Assumption

The following assumptions have been made:

25% of youths between the ages 10 - 24 are engaged in criminal behaviour.

75% have positive engagement in society

Youth age group is from 5 years - 24 years

Youths have a 48% chance of not be rehabilitated and re-offending

Conclusion

It is evident, investment in early educational programs will have a positive impact on Youths within the township of Bourke. Attendance rates have grown from 86% to 92%. The provision of a strong educational program will contribute to breaking the cycle and result in more youths growing up to have a positive impact on society. Attendance rate for schools will improve and there will be an increase number of students who complete year 12 and transition to tertiary educations and/or employment.

Investment of personal time of members of the police force to teach youths how to drive, has not only provided the kids with an opportunity they wouldn't ordinarily have due to family circumstances, but also decrease the amount of vehicle related offences.

There is a correlation between the investment of time and money to provide the you members of Bourke's society with the right education and positive reinforcement with the reduction of criminal/negative behaviour.

Bibliography

NSW Bureau of Crime Statistics and Research. (2020). NSW Local Government Area excel crime tables.

Alexander, H. (2019, May 29). How NSW town labelled 'most dangerous in world' changed its destiny. Retrieved from Sydney Morning Herald: https://www.smh.com.au/national/nsw/how-nsw-town-labelled-most-dangerous-in-world-changed-its-destiny-20190527-p51ri6.html

Australian Bureau of Statistics. (2016). 2016 Census QuickStats. Retrieved from Australian Bureau of Statistics: https://quickstats.censusdata.abs.gov.au/census_services/getproduct/census/2016/quickstat/LGA11150?opendocument

Thompson, G., McGregor, L., & Davies, A. (2016, September 19). Backing Bourke: How a radical new approach is saving young people from a life of crime. Retrieved from ABC News: https://www.abc.net.au/news/2016-09-19/four-corners-bourkes-experiment-in-justice-reinvestment/7855114

Conceptual model of youth alienation, police and community develop in Bourke

Michaela Dwyer

WIP Clone of IM-94482 Early Childhood Intervention with added Women's Health and Violence frorm Montesanti2015 mapping article

Early Childhood Intervention with Women and Violence focus

Geoff McDonnell

MODEL EXPLANATION:

The Model shows the interaction between the towns youth, Juvenile detention and the youth center. With 250 youth in town and none in either juvenile detention or the youth center

Youth who enroll in the community center will become educated resulting in a reduction of offences due to the reduced alienation towards law enforcement and more practical thinking.

The offence rate of youths is mitigated by the youth redevelopment program to stop re-offences. And amplified by youth alienation.

Offenders who are convicted will spend a 2 year period in Juvenile Detention before they are released. The amount of convictions are related to the amount of police in the town.

Both the youth redevelopment program and the Community center are reliant on the funding for youth provided by the government.

The two sliders relate to amount of police affecting the amount of convictions and youth in Detention whereas the funding for youth affects the offence rate and enrollment rate. Both are set to increase in discrete increments.

MGMT220-Bourke Youth Crime (Choong 44626525)

Jacob Choong

Youth community of Bourke

Youth Crime rate in Bourke

An educated assumption was made with the youth crime rate in Bourke. According to the ABS the youth crime rate of Australia is 14% in 2013-14. However, taking into consideration the poor standards of living and lack of education and care for youth in Bourke, it is expected that the youth crime will be more then double so the figure 40% was used in this model.

Model Explanation

This simple model starts off in town, with estimated 500 youth in the community. As said above 40% is expected to commit crime with a percentage of the crime population getting away not caught. This number depends on how many are caught and also how many police are out in the town. According to the "Boscar" (Bureau of Crime Statistics and Research) NSW's conviction rate is 85.7%. Even though the conviction is relatively high, Bourke's conviction rate was set at 60% due to the high level of crime against the number of police available.

In juvenile detention the expected number of youth is 120, with 50% of those being released. There is a delay of 6months during this process because whoever is convicted has to stay inside the juvenile detention for 6months before being released.

Those youths that does not commit crime has the choice to be a member of a sports team. These sports team has been funded by the community and the government through "Youth redevelopment Expenditure". This system allows teenagers in Bourke to be away from crime committing environment, hence reducing Youth crime rate in Bourke.

The two sliders "Police" and "Youth Redevelopment Expenditure" indicates the intensity of spending on these two subjects. The result of Bourke's crime rate and sports team engagement changes depending on these sliders.

MGMT220 Bourke Youth Community (Andrew Sohn 43661769)

Andrew Sohn

This model displays the effects of youth crime and the influence of community expenditure, social support, and policing in the town of Bourke, NSW.

The traditional lifestyle for youth in this town involves either a chosen path of committing crimes, or, that of community activity and various forms of education.

The model has been designed to mimic a system where community expenditure and support services are adopted in order to inject a positive lifestyle for the youth population. The phenomena studied in this simulation is the balance between policing, community support and social influence versus not using them.

Assumptions
-1000 Youth Population

-Youth are either influenced by criminal activity or by productive educational activities.

- Adoption rate of community activities is influenced by personality, relating to current personal skill level of youth and willingness.

-If youth you do not become involved in community activity or some form of Education, then they turn to the path of crime.

-Punishment facility time is up to 12 months with a 2 year probation period

-Community expenditure and support only begins in the probation period, unless “Juvenile Support” slider is used.

-For the purpose of this study on youth crime and support before a crime is committed, we do not include a possibility of relapse in the rehabilitation phase.

STOCKS

Youth
Crime – all offences committed by those under 18
Punishment Facility – juvenile detention
Probation – release from punishment
Education system – various programs

VARIABLES

Policing Units – Policing Bourke's criminal activity, and convicting after a crime has been committed.

Juvenile Support Units – The variable change in crime IF the community funds Support Units for youth before a crime is committed.

Social Support Units – The number of social support units available for released offenders during rehabilitation phase.

Community expenditure – the amount of time and money being spent on social services and policing.

Birth rate, crime rate, dicharge rate, recidivism & conviction rate

INTERESTING RESULTS

Slide any of the 3 variables to the extreme.

This model shows that adoption rate of a positive lifestyle is directly influenced by social influences.

1/ Juvenile Support Unit impact

Press Simulate.

Slide Juvenile Support Units to the extreme. Simulate again.

Juxtaposition of Juvenile Support impact on Behavior Graph shows that Crime and Reoffend rates drop significantly. More people turn to law-abiding positive activity.

This will again all change with the manipulation of the Social Support unit slider…..

2/ Social Support Unit impact

Social Support Units only influence those released from the Punishment facility. The more social services on hand to support rehabilitation phase the less chance of committing crime for the second time, with Reoffend rates dropping significantly when the Social Support Units Slider is adjusted to the extreme.

Rehabilitation rates only increase marginally, in spite of more social support feeding into that phase.

The greatest impact is shown on Law-Abiding and Crime. How could this be? A logical conclusion is that there is a finite number of youth in the community and those who have received positive social support during a learning phase of rehabilitation, then go on to influence their friends, their family, and have a positive influence on those around them.

3/ Police Unit Impact

Slide Policing Units to the extremes. Simulate. Policing Units Graph shows there is a significant decrease in Reoffend rates, and a higher rate of Conviction.

Curiously, rehabilitation rates drop and crime rates go up. How could this happen? A logical conclusion is that conviction and punishment is not a crime deterrent. It needs the added influence of social support services for there to be a positive impact on decreasing criminal instincts and activity on the whole.

Conclusions

Social support and home visits need to happen in the flow between Youth Population and Crime - “Juvenile Support Units”.

Investment in youth via these juvenile social support officers before they commit an offence, limits the amount of criminal activity over time. So, crime effectively decreases with the direct influence of social services at a young age.

Equally, with more police presence in the community, for those tempted to re-offend, they have a deterrent.

The most efficient management of the community issues faced in Bourke however lies with a combination of both Policing and Social Support services at all levels within the community.

Clone of Impact of Social Services and Police on Youth Crime

rdptr prsty

4 months ago

Youth Models