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MKT563

The effects of youth engagement in the town of Burke

Monika Rozkiewicz

The effects of youth engagement in the town of Burke

The model

This model simulates the effects of youth alienation, risk behaviours (unemployment and drug and alcohol abuse), community engagement expenditure and police expenditure on youth engagement in the town of Bourke,

  

Assumptions

Youth population 15-24 years old.

At risk behaviours may include illegal activity, isolation and impulsive and self-destructive behaviour.

  

Initial Values

Youth population in the town of Burke is 1000

 

 Constants

80% of socially disengaged youth will become alienated.

50% of alienated youth will commit a crime.

70% of alienated youth who commit a crime will be arrested.

20% of youth arrested will be convicted and sent to youth detention

60% of youth arrested and not convicted will return to their former life of social disengagement.

20% of youth arrested will not be convicted and be rehabilitated

 

 Variables (Sliders)

Unemployment, drugs and alcohol abuse: this variable can be adjusted to show the impact a high rate of unemployment, drugs and alcohol abuse has on youth alienation leading to illegal activity (committing a crime). The variable can also be reduced to show how a decrease in unemployment, drugs and alcohol abuse can reduce illegal activity.

Police Expenditure: this variable can be adjusted to show the impact of youth being arrested and going to youth detention and potentially being rehabilitated.

Community Engagement Expenditure: this variable can be adjusted to show the impact of having community engagement expenditure to create positive behaviour changes in alienated youth. Positive behavioural changes decrease when this variable is reduced.

  

Conclusion

When the sliders are set to a moderate range (unemployment, drugs and alcohol abuse – 18, police expenditure – 12, community engagement expenditure – 25), relationships between variables and stocks are apparent. The increase of unemployment, drugs and alcohol abuse show an increase in alienation, crime and youth detention. When police expenditure is increased, despite there being an increase in arrests and individuals in youth detention, there is an increase in youth rehabilitation in the town, which prompts positive behavioural changes. When community engagement expenditure is increased there is the increase of community programs which leads to positive behavioural changes after rehabilitation.

MKT563 Youth Engagement Charles Sturt University

  • 1 year 1 week ago

Assessment 4 - Effect of Community Reinvestment on Bourke's Youth Population

Danielle Skerrett

Assessment 4, MKT563 201930 

Danielle Skerrett 
Student ID: 11664109
Charles Sturt University


About this Model:
This balancing structure loop model visualises the various factors that can affect the youth of Bourke, NSW. High crime rates have severely affected this LGA in previous years, however the introduction of a new program is proving to be an effective limiter for young offenders. This new Community Reinvestment program is proving to not only have positive impacts on the youth of Bourke, but is also saving the region a lot of money. This in turn allows for investment back into local community programs, that would have otherwise gone towards judicial processes.

Assumptions:
Based on 2016 Census data:

Bourke Population: 3000
Indigenous persons: 1000
Youth*:  669 or 21% 

*For the purposes of this model, “youth” is classified as members of the population under 25 years of age.

 

Results of reinvestment program:

38% reduction in charges across the top five juvenile offence categories

31% increase in year 12 student retention rates

27% reduction in bail breaches by juveniles

 

Variables:
Youth Crime rates in Australia as of 2016: 3.33% 

References:

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


Australian Bureau of Statistics.  (2016).  Census Data for Bourke LGA.  Retrieved from

https://quickstats.censusdata.abs.gov.au/census_services/getproduct/census/2016/quickstat/SSC10522


KPMG Impact Assessment (2018). Maranguka Justice Reinvestment Project. Retrieved from
http://www.justreinvest.org.au/impact-of-maranguka-justice-reinvestment/ 


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


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


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MKT563 Charles Sturt University Assessment Bourke

  • 3 months 1 week ago

Bourke - Relationship Among Different Players

Christopher Brockman
MKT563: Assessment Item 4
Student Name: Christopher BrockmanStudent ID: 1153 2934B
Insight Maker was used to model the impact of police enforcement and community development (TAFE, local gym and local soccer club) would have on illegal activities and crime rates of the adolescents in the town of Bourke. By examining relationships between various variables (eg local gym membership vs alienated adolescents), we can identify if an inverse relationship occurs between crime rates and community development in the town of Bourke.
About the modelAs Bourke is a quiet country town, there is a tendency for a proportion of adolescents to become easily bored and alienated throughout their development. This model seeks to determine if there is any tangible benefits of establishing more community structures in an attempt to stimulate the adolescents to make positive changes in their lives (gym, education, sports).
It is assumed if the adolescents of Bourke are undertake a TAFE course, participating in a team or working on their fitness, less crime that will be committed in Bourke. There is a 18 month average in TAFE education (represented as a 10 month delay), to show that it will take time for the benefits of further community development to be reaped.


Variables/relationshipsThe variables are shown in boxes, and relationships are shown as arrows. Variables consist of:
  • Police Enforcement: As further police presence is established, it is expected that more crimes will be solved and will also act as a deterrent to not commit crime for the average adolescent.
  • Community Development: It is expected that there will be an inverse relationship between crime and community development.

Interesting parametersAs the user increases the values in the sliders, we see a trend of youth committing less crime (which also means less in juvenile detention). 
ConclusionFrom the model, we can gather that community development is/would be highly effective in reducing crime rates by adolescents in Bourke. Further investigation is strongly recommended.

Bourke Adolescent Police Community MKT563

  • 2 years 15 hours ago

Sarah Herring Assignment Three

Sarah Herring
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This model is looking at the youth in the town of Bourke, in NSW Australia. It has been designed to look at the impacts that the police force and community engagement can have on the youth in Bourke, specifically in relation to the crime rates within the town and what factors impact on this, including unemployment and drug and alcohol use.

 

Assumptions:

<!--[if !supportLists]-->-       <!--[endif]-->Total youth in Bourke = 25,000

<!--[if !supportLists]-->-       <!--[endif]-->Currently in Jail = 15,500

<!--[if !supportLists]-->-       <!--[endif]-->Currently in rehabilitation = 6,500

<!--[if !supportLists]-->-       <!--[endif]-->Youth who participate in a Community program and complete it = 75%

<!--[if !supportLists]-->-       <!--[endif]-->Youth with antisocial behaviour = 2,000

<!--[if !supportLists]-->-       <!--[endif]-->Youth with drug and alcohol problems = 6,500

<!--[if !supportLists]-->-       <!--[endif]-->Unemployment = 10,000

<!--[if !supportLists]-->-       <!--[endif]-->Youth placed into rehab due to drugs = 1,500

  

The youth in Bourke enter into a community program, and 75% of youth complete the program and return to the total youth. The 25% that do not complete become disengaged and wind up in jail. They complete a rehabilitation program and return to the community after 6 months. Youth with unemployment are impacted by drug and alcohol use and they are either detected by the police and placed into the rehabilitation program, or they are not detected and continue on a cycle of unemployment and drug and alcohol use.

 

The Government funding goes into the community programs and into the jail. The police force impacts on the disengaged youth entering into jail, the youth who become rehabilitated and detecting the drug and alcohol use of the youth.

 

There are two graphs in particular that are called out in this model. They are:

<!--[if !supportLists]-->1)   <!--[endif]-->Youth in Jail and Disengagement

<!--[if !supportLists]-->2)   <!--[endif]-->Youth in the Community Program and Youth Completing the Program

 

When looking at graph number one with the sliders on 100 Police Staff Members and $50,000 Government Funding you can see that the more youth that complete the program, the less youth there are in jail. We can identify that the completion of the program decreases the amount of youth in jail.

 

When these sliders are decreased to their lowest with 5 police staff members and $5,000 of government funding we see that the time it takes for the completion of community programs to be surpass the youth in jail occurs after 11 years as opposed to 7 years in the previous graph.

 

 The second graph identifies when the sliders are at their highest the delay and time it takes to engage the youth in the rehabilitation program vs. the youth in the community program, and that the youth entering into the programs and completing match up to one another. When the sliders are at there lowest the rehabilitation sits much lower at all times and the time taken to increase the amount of youth completing the program is substantially longer.

Overall this model stimulates the importance on not only the police force and government funding, but the two working alongside one another for optimum results for the youth in Bourke. 

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Marketing Bourke MKT563

  • 2 years 3 months ago

Assignment 4 - Youth Alienation in Town of Bourke

Dimas Rama Putra
Youth Alienation in Town Of Bourke 
ModelThe model give us insight about how alienation in town of Bourke and the relationship between Youth Alienation, Police, and Community engagement. 
AssumptionsYouth Population 15 - 26 years old
Youth negative behavior including Drugs, Alcohol Abuse, Unemployment, Violence, Bully. 
Initial ValuesYouth Population: 1000
Constants
70 % Youth become socially disengage.70 % Alienation Youth will have Negative Behavior trigger by Unemployment, Drugs, Alcohol Abuse.60 % Youth with Negative Behavior will join community  by asking for help or get information from neighborhood.40%  Youth with Negative Behavior will commit crime.80 % Rehabilitation member will join Community Group.
Variables (Sliders)

Unemployment, Drugs, Alcohol Abuse:  rate of Unmployment, Drugs and Alcohol Abuse in Alienated Youth. This variable can be adjust to show how big the impact is. 
Crime Rate: rate of crime by Youth with negative behavior.  This variable can be adjust to show increase in crime rate can have significant impact on Police expenditure.
Community Engagement Expenditure : this variable can be adjusted to show the impact of having community engagement expenditure.
Police Engagement Expenditure : This variable can be adjusted to show the impact of youth being arrested and going to youth detention and potentially being rehabilitated.

Conclusion
With this model Youth Crime can be decrease with help from Community Group in 2 years and Youth With positive behavior ( Youth with fulltime and partime job, sports, social services ) will be increase in 2 years.  

MKT563

  • 3 months 2 weeks ago

MKT563 Assessment 4 - Simulation of Bourke youth alienation problem - 11641572 SHAN CHEN

Shan Chen
Model Explanation

This complex system model visualizes relationships between the investment on police and community and the change of youth crime rate in Bourke, NSW.

 

Assumptions

Total number of youth population (aged 13 – 19 years old) in Bourke: 1,000

 

80% of Bourke youth population are assumed to behave negatively.

50% of alienated teenagers are assumed to breach of law or rules.

70% of alienated youth who breach of law or rules will be arrested by police.

60% of teenagers arrested are assumed to be convicted and detained.

40% of teenagers arrested are assumed not to be convicted and detained.

70% of teenagers detained are assumed to participate in juvenile community programs after being released.

70% of teenagers participated in community programs will rehabilitate.

 

Variables

Drugs & Alcohol, Domestic violence, Long-term unemployment

Police expenses

Community funding

 

Conclusion

It can be seen that the number of alienated youth and the crime rate will decline over time when investing more on police and juvenile community programs.

Marketing MKT563

  • 3 months 2 weeks ago

Assessment 4_MKT563_Iuliia Goncharenko_11640878

Yulia Goncharenko
Level of youth social engagement​ in Bourke
The model demonstrates the level of youth social engagement in Bourke depending on 5 variable factors: 1) academic performance during high school, 2) college/university attendance, 3) police expenditure, 4) community programmes expenditure,5) youth allowance.
Assumptions
Youth population in Bourke amounts to 800 people.
60% of youth generation experience high positive parental involvement, the rest 40% - low or negative.
80% of arrested youth are convicted guilty, the rest 20% - not guilty.
Variables have value from 0 to 1 and have slider option.

MKT563

  • 3 months 2 weeks ago

Bourke Youth Population

Brittany Lawrence
MKT563 - Assessment 4Brittany Lawrence, 11660796
Model ​Explanation:

This model demonstrates the relationship and factors experienced by the youth of Bourke, in particular how youth alienation, police, and community development and other variables interact with each other. The model simulates the positives and negatives involved with being either socially engaged or socially disengaged. For example, community involvement and rehabilitation for positive factors to drug and alcohol abuse and unemployment for negative factors.

 

Variances:

There are 3 key variables identified and outlined in the model. They are also the 3 sliders at the bottom.

<!--[if !supportLists]-->·        <!--[endif]-->Community Engagement Expenditure – this shows the impact of having community investment and programs in order to generate positive behavioural changes.

<!--[if !supportLists]-->·        <!--[endif]-->Police Expenditure – this shows the impact of police arresting the disengaged youth and getting involved to prevent further crime. This potentially results in rehabilitation.

<!--[if !supportLists]-->·        <!--[endif]-->Unemployment, Drugs & Alcohol Abuse – this is the strongest negative variance and shows the impact of how a high rate of unemployment, domestic violence and drugs and alcohol abuse can have on youth alienation.


By reducing the negative variables like unemployment and abuse, it decreases the crimes committed and hopefully police expenditure and increases the percentage of socially engaged youth. Additionally, by increasing the community expenditure, it may reduce the percentage of alienated disengaged youths, increasing the positive behavioural changes.

 

Assumptions:

From the information and sites provided, Bourke’s population is 3,000 and about 1,000 (1/3) identify as Aboriginal. According to ABC’s report “just about all [youth] are aboriginal”. Thus, this model has set the youth population as 1,000 people. Youth has been defined as 10-24 years.

The model resembles the game snakes and ladders, one slip up and Bourke’s disengaged youth can find themselves back at the beginning where they are either at risk or back to committing crime. For instance, if there is no behavioural change once they make it to rehabilitation, whether convicted of their crime or not, they will

As can be seen from the model, it is a slippery slope once Bourke’s youth are disengaged and start to feel alienated, however it is possible to get back on track, whether though police expenditure and involvement, community investment and programs to assist with rehabilitation. Additionally, there is a risk that if an arrested youth is not convicted of the crime, there can be an increase of recidivism, however with the variables in place.

From the KMPG campaign results so far, the variables in place seem to be working and reducing the number of youth in juvenile detention, increase of drivers licences, increase of employment and re-entering into the community.

MKT563 CSU Assessment 4 Bourke Complex Systems Community Reinvestment

  • 3 months 1 week ago

Clone of The effects of youth engagement in the town of Burke

Hamza Razi

The effects of youth engagement in the town of Burke

The model

This model simulates the effects of youth alienation, risk behaviours (unemployment and drug and alcohol abuse), community engagement expenditure and police expenditure on youth engagement in the town of Bourke,

  

Assumptions

Youth population 15-24 years old.

At risk behaviours may include illegal activity, isolation and impulsive and self-destructive behaviour.

  

Initial Values

Youth population in the town of Burke is 1000

 

 Constants

80% of socially disengaged youth will become alienated.

50% of alienated youth will commit a crime.

70% of alienated youth who commit a crime will be arrested.

20% of youth arrested will be convicted and sent to youth detention

60% of youth arrested and not convicted will return to their former life of social disengagement.

20% of youth arrested will not be convicted and be rehabilitated

 

 Variables (Sliders)

Unemployment, drugs and alcohol abuse: this variable can be adjusted to show the impact a high rate of unemployment, drugs and alcohol abuse has on youth alienation leading to illegal activity (committing a crime). The variable can also be reduced to show how a decrease in unemployment, drugs and alcohol abuse can reduce illegal activity.

Police Expenditure: this variable can be adjusted to show the impact of youth being arrested and going to youth detention and potentially being rehabilitated.

Community Engagement Expenditure: this variable can be adjusted to show the impact of having community engagement expenditure to create positive behaviour changes in alienated youth. Positive behavioural changes decrease when this variable is reduced.

  

Conclusion

When the sliders are set to a moderate range (unemployment, drugs and alcohol abuse – 18, police expenditure – 12, community engagement expenditure – 25), relationships between variables and stocks are apparent. The increase of unemployment, drugs and alcohol abuse show an increase in alienation, crime and youth detention. When police expenditure is increased, despite there being an increase in arrests and individuals in youth detention, there is an increase in youth rehabilitation in the town, which prompts positive behavioural changes. When community engagement expenditure is increased there is the increase of community programs which leads to positive behavioural changes after rehabilitation.

MKT563 Youth Engagement Charles Sturt University

  • 3 months 1 week ago