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From Jay Forrester 1988 killian lectures youtube video describing system dynamics at MIT. For Concepts See IM-185226. For more detailed biography See Jay Forrester memorial webpage For MIT HIstory see IM-184930

System Dynamics Applications

Geoff McDonnell

Description for Each Simulation Tag:

CRISIS:

- Price increasing dramatically, surpasses average detached home price of 3 million in 3 years if left unaddressed

- Housing Demand by potential buyer population will increase due to unmet financial means (Interest rate and price too high). To secure housing, the outflow is linked to price that is affected by supply and demand.

- Total occupied homes will decrease as empty homes purchased by foreign investors for "house flipping" increase and doubles within 5 years.

DEMAND:

- Demand for housing in Vancouver will increase, but the amount of people motivated to buy with financial means "buyer population", will decrease in correlation.

SUPPLY:

- Prices do not follow traditional supply and demand concepts. Supply of houses on the market is increasing but, as shown, unable to sell because of unaffordability.

SYSTEMS MODEL LOGISTICS:

- Split into demand and supply with interlinked links

- Supply is a feedback system with sold houses branching off into empty housing or occupied housing

- All flows and stocks are linked with the intention that as market price changes, so will various system dynamics

- Used various functions to simulate a more diverse and accurate system

Sustainability: Economic (prices, housing market), Social (motivation to buy and sell)

Crisis Model - Vancouver Housing Crisis

Ray C

An economic model of Oregon's Marijuana.

Visual display of the Marijuana flow in Oregon.

I

OMM

shaun savage

Insight economical

Артём Хабибуллин

A possible "Rule" element to represent the relationship between the rate of illegal immigration into the United States and identifiable key variable factors could be:

"If the levels of identifiable key variable factors such as economic opportunity, political stability, and security in countries of origin and the effectiveness of border security measures and immigration policies in the United States are favorable, then the rate of illegal immigration into the United States is likely to be lower. Conversely, if these key variable factors are unfavorable, then the rate of illegal immigration into the United States is likely to be higher."

This rule suggests that the rate of illegal immigration into the United States is influenced by a combination of push factors in countries of origin and pull factors in the United States, such as economic opportunity, political stability, security, and the effectiveness of border security measures and immigration policies. By considering these key factors, policymakers can develop more effective strategies to manage and reduce the rate of illegal immigration into the United States.

Number of illegal immigrants in US Model

Johnson Olaitan

Fig 4. The Casual Loop Diagram of the Socio-Political and Economic Subsystems

Rony Zhu

Final

Akshat Bansal

My Insight_ENVS8019 report 5 exercise

Tilia

There is an old saying that says that 'opportunity makes thieves'. But there is also a research paper entitled 'Opportunity makes the Thief: Practical Theory of Crime Prevention (1998)' that provides evidence supporting this common observation. The paper argues that opportunity is a “root cause” of crime. This therefore also applies to the behaviour of corporations.

The Causal Loop Diagram on the left indicates that the number of crimes will increase rapidly as the opportunities to commit them increases. This suggests that the introduction of a negative feedback loop aimed at diminishing opportunities for committing crimes is an appropriate measure to improve the situation. A number of remedial mesures tailored to specific situations are contained in the report. A generally effective means must be the use of law and regulations that were also mentioned in the report.

Opportunity makes Thieves

Hanns-Jürgen Hodann

Brief Summary of Albert O Hirschman's Book with 2026 update

The Passions and the Interests

Geoff McDonnell

6 months ago

Cornerstore Economic Model

Michelle Molskow

Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.

This Scenario hits Affluence (1% decrease per annum) to increase decarbonization of energy. Additionally, decrease in affluence is increased by temperature increases damaging the global economy

Final Project 4 W/ Socio-Economic Factors - Investment+Temperature Degradation

Geoffrey Alan Chapman

GSGS4610_FastFashion_FinalModel

Lanier Ellison

6 months ago

Explanation

This model shows the COVID-19 outbreak in Burnie and how the government policy impacts the economy. The possible phases when the infectious disease spreads in Burnie can be labelled as Susceptible, Infection and Recovery, which are main factors in the model. It is concluded that the government policy can reduce the infectious disease and also the impact in the overall economy.

Assumption

The Government Healthy Policy will affect the decrease in the infection and economy growth rate at the same time.

The Government Health Policy is only triggered when there are more than 10 cases

The increase in number of COVID-19 cases can affect negatively towards the economic growth.

Interesting Insights:

The Government's vaccination promote will reduce the possibility of spreading the infectious disease.

When vaccination rate increase, the dead, infected people and susceptible group will all decrease. This reveals that the crucial role in government's vaccination promote program.

When there is more than 10 confirmed cases, the government policies can effectively reduce the infections and the overall economic activities.

BMA708_Assignment 3_Joleen Tanjaya

Joleen Tanjaya

Shared Team Narrative Diagram

Justin

12

COVID Systemigram

Olivia Hersey

Economic Effect

Rahmanda Nofal

Team 3 Environmental Sustainability Rich Picture

zrynning

This model shows the simulation of COVID-19 outbreaks when it hit Burnie, Tasmania. This model will show how government intervention will impact the total number in COVID 19 cases and the overall economic activity.

Assumptions

1. The current Burnie population in 19550. Therefore, the susceptible population is equal to the current Burnie population.

2. Since Burnie is just a regional city, the virus infection rate is 25% as 5000 people in Burnie went into quarantine during the outbreak last year.

3. 50% of people who are infected will recover.

4. 20% of people who are infected will die because Burnie population average is old.

5. Government intervention and policy will reduce the Infection

6. COVID-19 is only countable as a case if the infected people have been tested, and the percentage of testing depends on how many infected people have been tested.

7. Following a recovery, there is a chance that people could lose their immunity, and also the immunity loss rate measures this.

8. Government intervention will reduce the infection rate by 15%.

9. Lockdown will cause tourism industry to shut down and affect the overall economic activity.

10. Lockdown is one of the most effective way to prevent infection.

11. Strict health protocol also contributes to reduce the infection.

12. Vaccination will not make people fully immune to the virus. However, vaccinated people will reduce the immunity loss percentage.

13. Economic growth rate percentage is based on year 2020.

Findings

1. COVID-19 could be significantly reduced in number and the spread of the vaccine could make a significant impact on the epidemic.

2. Economic activity will drop during the first phase of government intervention, However, it will steadily increase overtime

3. Less people going to be susceptible as government imposed covid 19 rules.

BMA708 Michael Sunjaya Jurenang ID:547923

Michael Sunjaya Jurenang

Classical Blockchain Economics

Peter Vermette

12 months ago

Overview:

The model shows the industry competition and relationship between Forrestry and Mountain Bike Trip in Derby, Tasmania. The aim of the simulation is to find a balance between the co-existence of these two industry.

How Does the Model Work?

Both industries will generate incomes. Firstly, income is generated from the sale of timber through logging. In addition, income is also generated from the consumption of mountain bike riders. Regarding to the Forrestry industry, people cut down trees because there is a market demand for timber. The timber is sold for profits. However, the experience of mountain biking tourism is largely affected by the low regeneration rate of trees and the degradation of the environment and landscape due to tree felling. People have better riding experiences when trees are abundant and the scenery is beautiful. People's satisfaction and expectations depend on the scenery and experience. Recommendations of past riders will also impact the tourists amount.

Interesting Insights

The income generated by logging can provide a significant economic contribution to Tasmania, but excessive logging can lead to environmental problems and a reduction in visitors. Excessive logging can lead to a decline in tourism in the mountains, which will affect tourism. Despite the importance of forestry, tourism can also provide a significant economic contribution to Tasmania. The government should find a balance between the two industries while maintaining the number of tourists.

Simulation of Derby Mountain bikes versus logging

nicole

Socio-Economic Model (final)

Kayla

Template to start Assignment 1. Click "Clone Insight" above to make a copy for yourself.

ISCI 360 Assignment 1

Gabriella Wang

DPSIR Framework to Analyze EcoPeace Middle East's Good Water Neighbours Strategy

Alistair Chean