A single resource is used​ with a constant rate and converted into products in use. After a while, these products become unusable because of aging. The recycling of these unusable products is imperfect, thus the amount of not recyclable resource grows (until a better recycling process is invented).
A single resource is used​ with a constant rate and converted into products in use. After a while, these products become unusable because of aging. The recycling of these unusable products is imperfect, thus the amount of not recyclable resource grows (until a better recycling process is invented).
Bourke is a remote town in NSW with a population of 2634 people.  In 2013 crime figures from Bourke showed the highest assault, break-ins and car theft rates in NSW with crime spikes mostly occurring during nights and school holidays.  Over the past five years, the Aboriginal Community has come toge
Bourke is a remote town in NSW with a population of 2634 people.  In 2013 crime figures from Bourke showed the highest assault, break-ins and car theft rates in NSW with crime spikes mostly occurring during nights and school holidays.  Over the past five years, the Aboriginal Community has come together to trial a model for change, called Just Reinvest.

This  model illustrates the relationship between Community Factors (which includes social disadvantage, economic issues, family trauma) on Disengaged Youth, Crime and the impact of the Just Reinvest Program.  This model particularly illustrates the complexity of factors on outcomes and how factors are interrelated making crime a wicked problem that is not easily viewed in isolation from the socio-economic and social causes.

Stocks
Youth in Burke is set based on Australian Bureau of Statistics levels but is easily modified to track population changes on modelling
Disengaged Youth are those with problematic behaviour 
Crime Levels are those Disengaged Youth who go on to commit a crime
Early Intervention Programs are those run through Just Reinvest as part of the community program - the quantity of these can be adjusted.

Data of Note
- Economic Impact is five times cost of running the program
- Justice Impacts are roughly 66% and Non-Justice Impacts make up the remaining 33%.

Assumptions
While the UN defines "Youth" as 15 - 24 year olds, the KPMG report outlines programs for 10 - 24 year olds therefore in the context of Bourke the 10 - 24 year old age bracket is considered "Youths".  This has been rounded to 700 people (ABS 2016 Census).

- It is estmated 70% of Bourke Youths will have problematic behaviour with 50% of those going on to commit a crime and be caught
- Cost of Early Intervention Youth Program is estimated at $100 per person per crime

Conclusion

While this model shows the impacts and benefits of additional funding on early intervention programs and the flow on affects this has on crime, it does not take into account the underlying cultural and social disadvantage issues that are often motivators for crime nor does this model take into account issues such as cultural prejudice and bias, over-policing or additional early intervention methods.
COVID-19 Outbreak in Burnie Tasmania Simulation Model    Introduction:     This model simulates the COVID-19 outbreak situation in Burnie and how the government responses impact local economy. The COVID-19 pandemic spread is influenced by several factors including infection rate, recovery rate, deat
COVID-19 Outbreak in Burnie Tasmania Simulation Model

Introduction:

This model simulates the COVID-19 outbreak situation in Burnie and how the government responses impact local economy. The COVID-19 pandemic spread is influenced by several factors including infection rate, recovery rate, death rate and government's intervention policies.Government's policies reduce the infection spread and also impact economic activities in Burnie, especially its tourism and local businesses.   

Assumptions: 

- This model was built based on different rates, including infection rate, recovery rate, death rate, testing rate and economic growth rate. There can be difference between 
this model and reality.

- This model considers tourism and local business are the main industries influencing local economy in Burnie.

- Government's intervention policies will positive influence on local COVID-19 spread but also negative impact on local economic activity.

- When there are more than 10 COVID-19 cases confirmed, the government policies will be triggered, which will brings effects both restricting the virus spread and reducing local economic growth.

- Greater COVID-19 cases will negatively influence local economic activities.

Interesting Insights:

Government's vaccination policy will make a important difference on restricting the infection spread. When vaccination rate increase, the number of deaths, infected people and susceptible people all decrease. This may show the importance of the role of government's vaccination policy.

When confirmed cases is more than 10, government's intervention policies are effective on reducing the infections, meanwhile local economic activities will be reduced.

This model demonstrate how the exisitng tested COVID cases effects economic recovery via goverment intervenes. Assumption:Goverment intervenes positively contribute on transmission, patients recovery, and death elimination. When existing cases equal or lower than 10 cases, economic growth will be so
This model demonstrate how the exisitng tested COVID cases effects economic recovery via goverment intervenes.
Assumption:Goverment intervenes positively contribute on transmission, patients recovery, and death elimination. When existing cases equal or lower than 10 cases, economic growth will be soaring with helps of influencial elements.
Interesting points: even though there are certain amount of unknow cases, enhancing social restriction and increasing test rate ould still reduce amount of cases
Sandbox for testing InsightMaker features using pipeline Construction & ROW land conversion as a driver of changes in ecosystem service value.
Sandbox for testing InsightMaker features using pipeline Construction & ROW land conversion as a driver of changes in ecosystem service value.
Social determinants of health are economic and social conditions that influence the health of people and communities. These conditions are shaped by the amount of money, power, and resources that people have, all of which are influenced by policy choices. Social determinants of health affect factors
Social determinants of health are economic and social conditions that influence the health of people and communities. These conditions are shaped by the amount of money, power, and resources that people have, all of which are influenced by policy choices. Social determinants of health affect factors that are related to health outcomes. Factors related to health outcomes include:
  • How a person develops during the first few years of life (early childhood development)
  • How much education a persons obtains
  • Being able to get and keep a job
  • What kind of work a person does
  • Having food or being able to get food (food security)
  • Having access to health services and the quality of those services
  • Housing status
  • How much money a person earns
  • Discrimination and social support
OVERSHOOT GROWTH GOES INTO TURBULENT CHAOTIC DESTRUCTION  The existing global capitalistic growth paradigm is totally flawed  The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunb
OVERSHOOT GROWTH GOES INTO TURBULENT CHAOTIC DESTRUCTION

The existing global capitalistic growth paradigm is totally flawed

The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite limited size working capacity containers (villages communities)

Ocean/atmosphere/biosphere model coupled to economics-based simulations from Y2k on.
Ocean/atmosphere/biosphere model coupled to economics-based simulations from Y2k on.
Many physical, chemical, biological, economic and cultural phenomena exhibit a pattern in which a stock’s growth is dependent on consuming a finite non-renewable resource.  In its standard form, the growth of the population (or other entity) is proportional to both the size of the current population
Many physical, chemical, biological, economic and cultural phenomena exhibit a pattern in which a stock’s growth is dependent on consuming a finite non-renewable resource.  In its standard form, the growth of the population (or other entity) is proportional to both the size of the current population stock and the current size of the stock of non-renewable resources.
 Modern industrial civilisation has created massive
interdependencies which define it and without which it could not function. We all
depend on industrial farming to produce the food we eat, we depend on gasoline
being available at the gas station,  on the
availability of electricity and even on the

Modern industrial civilisation has created massive interdependencies which define it and without which it could not function. We all depend on industrial farming to produce the food we eat, we depend on gasoline being available at the gas station,  on the availability of electricity and even on the bread supplied by the local baker. Naturally, we tend to support the institutions that supply the amenities and goods to which we have become accustomed: if we get our food from the local supermarket, it is likely that we would be opposed to it’s closure. This means that the economic system that relies on continuous growth enjoys implicit societal support and that nothing short of environmental disaster or a shortage of essential raw materials will impede it’s growing indefinitely. It is not hard to work out the consequences of this situation!

Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.
Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.
I made this model to simulate how a companies revenue will change depending on the lifetime of the appliances it manufactures, in combination with the ratio of repair costs and price. It also shows the accumulation of e-waste.
I made this model to simulate how a companies revenue will change depending on the lifetime of the appliances it manufactures, in combination with the ratio of repair costs and price. It also shows the accumulation of e-waste.