Government Models

These models and simulations have been tagged “Government”.

A causal loop diagram illustrating a subset of variables influencing business problems related to the transitioning of the Social Assistance Management System (SAMS) from initial production deployment to steady state.    Inherent in the diagram is a representation of two well-known system dynamics a
A causal loop diagram illustrating a subset of variables influencing business problems related to the transitioning of the Social Assistance Management System (SAMS) from initial production deployment to steady state.

Inherent in the diagram is a representation of two well-known system dynamics archetypes:

  • Shifting the Burden, represented in the interplay between the B1, B2, and R3 loops, and
  • Limits to Success, represented in the interplay between the B1 and R5 loops.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
A causal loop diagram illustrating a subset of variables influencing business problems related to the transitioning of the Social Assistance Management System (SAMS) from initial production deployment to steady state.    Inherent in the diagram is a representation of two well-known system dynamics a
A causal loop diagram illustrating a subset of variables influencing business problems related to the transitioning of the Social Assistance Management System (SAMS) from initial production deployment to steady state.

Inherent in the diagram is a representation of two well-known system dynamics archetypes:

  • Shifting the Burden, represented in the interplay between the B1, B2, and R3 loops, and
  • Limits to Success, represented in the interplay between the B1 and R5 loops.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
A causal loop diagram illustrating a subset of variables influencing business problems related to transitioning and stabilization of MVS.    Inherent in the diagram is a representation of a well-known system dynamics archetype:  shifting the burden , represented in the interplay between the B1, B2,
A causal loop diagram illustrating a subset of variables influencing business problems related to transitioning and stabilization of MVS.

Inherent in the diagram is a representation of a well-known system dynamics archetype: shifting the burden, represented in the interplay between the B1, B2, and R3 loops.
Modelagem Soft sobre o Conflito de Agência e Governança no Brasil. Atividade proposta em Teoria Geral dos Sistemas, ministrada pelo Prof. Antonio Carlos Zambon.    Integrantes:  - Edson da Costa Vitor Junior, 170086  - Gustavo Batistic Ribeiro, 174028  - Huanna Raquel do Nascimento, 174720  - Karen
Modelagem Soft sobre o Conflito de Agência e Governança no Brasil. Atividade proposta em Teoria Geral dos Sistemas, ministrada pelo Prof. Antonio Carlos Zambon.

Integrantes:
- Edson da Costa Vitor Junior, 170086
- Gustavo Batistic Ribeiro, 174028
- Huanna Raquel do Nascimento, 174720
- Karen E. M. Rodrigues, 177493
- Leticia O. C. Tavares, 182047
- Matheus Baroni, 184378
This diagram shows the impact of government policy and funding on a student's access to post-secondary education and the institution's health and wellness services.
This diagram shows the impact of government policy and funding on a student's access to post-secondary education and the institution's health and wellness services.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
  Overview:
  

 The
COVID-19 Outbreak in Burnie Tasmania shows the process of COVID-19 outbreak,
the impacts of government policy on both the COVID-19 outbreak and the GDP
growth in Burnie.  

  Assumptions:  

 We set some
variables at fix rates, including the immunity loss rate, recovery rate, de

Overview:

The COVID-19 Outbreak in Burnie Tasmania shows the process of COVID-19 outbreak, the impacts of government policy on both the COVID-19 outbreak and the GDP growth in Burnie.

Assumptions:

We set some variables at fix rates, including the immunity loss rate, recovery rate, death rate, infection rate and case impact rate, as they usually depend on the individual health conditions and social activities.

It should be noticed that we set the rate of recovery, which is 0.7, is higher than that of immunity loss rate, which is 0.5, so, the number of susceptible could be reduced over time.

Adjustments: (please compare the numbers at week 52)

Step 1: Set all the variables at minimum values and simulate

results: Number of Infected – 135; Recovered – 218; Cases – 597; Death – 18,175; GDP – 10,879.

Step 2: Increase the variables of Health Policy, Quarantine, and Travel Restriction to 0.03, others keep the same as step 1, and simulate

results: Number of Infected – 166 (up); Recovered – 249 (up); Cases – 554 (down); Death – 18,077 (down); GDP – 824 (down).

So, the increase of health policy, quarantine and travel restriction will help increase recovery, decrease confirmed cases, decrease death, but also decrease GDP.

Step 3: Increase the variables of Testing Rate to 0.4, others keep the same as step 2, and simulate

results: Number of Infected – 152 (down); Recovered – 243 (down); Cases – 1022 (up); Death – 17,625 (down); GDP – 824 (same).

So, the increase of testing rate will help to increase the confirmed cases.

Step 4: Change GDP Growth Rate to 0.14, Tourism Growth Rate to 0.02, others keep the same as step 3, and simulate

results: Number of Infected – 152 (same); Recovered – 243 (same); Cases – 1022 (same); Death – 17,625 (same); GDP – 6,632 (up).

So, the increase of GDP growth rate and tourism growth rate will helps to improve the GDP in Burnie.

A rich picture showing how a democratic government works ... or not.
A rich picture showing how a democratic government works ... or not.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Describes and draws on insights from the book, the "The End of Power" by Moises Naim, to examine the relationships between power, trust, and the ability of us collectively to deal with big issues such as climate change.
Describes and draws on insights from the book, the "The End of Power" by Moises Naim, to examine the relationships between power, trust, and the ability of us collectively to deal with big issues such as climate change.
A causal loop diagram illustrating a subset of variables influencing education problems related to trying to increase workshop engagement.    Inherent in the diagram is a representation of two well-known system dynamics archetypes:        Shifting the Burden , represented in the interplay between th
A causal loop diagram illustrating a subset of variables influencing education problems related to trying to increase workshop engagement.

Inherent in the diagram is a representation of two well-known system dynamics archetypes:

  • Shifting the Burden, represented in the interplay between the B1, B2, and R3 loops, and
  • Limits to Success, represented in the interplay between the B1 and R5 loops.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
 Simple epidemiological model for Burnie, Tasmania   SIR: Susceptible to infection - Infected - Recovery, Government responses and Economic impacts           Government policy is activated when there are 10 or fewer reported cases of COVID-19. The more people tested, the fewer people became infected
Simple epidemiological model for Burnie, Tasmania
SIR: Susceptible to infection - Infected - Recovery, Government responses and Economic impacts  

Government policy is activated when there are 10 or fewer reported cases of COVID-19. The more people tested, the fewer people became infected. So the government's policy is to reduce infections by increasing the number of people tested and starting early. At the same time, it has slowed the economic growth (which, according to the model,  will stop for next 52 weeks).
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
  Model of Covid-19 Outbreak in Burnie, Tasmania    When reported COVID-19 cases begin to show a rapid increase, the government will initiate control policies to deal with the spread.As the number of people tested increases and measures such as isolation and medical assistance are implemented, the n

Model of Covid-19 Outbreak in Burnie, Tasmania

When reported COVID-19 cases begin to show a rapid increase, the government will initiate control policies to deal with the spread.As the number of people tested increases and measures such as isolation and medical assistance are implemented, the number of people infected will decline rapidly.Therefore, the government's policy is to reduce and eliminate sources of transmission by increasing the number of tests and initiating control measures.At the same time, it also shows the negative impact of economic growth, which according to the model will stop in the next 20 weeks.

Describes and draws on insights from the book, the "The End of Power" by Moises Naim, to examine the relationships between power, trust, and the ability of us collectively to deal with big issues such as climate change.
Describes and draws on insights from the book, the "The End of Power" by Moises Naim, to examine the relationships between power, trust, and the ability of us collectively to deal with big issues such as climate change.
 Simple epidemiological model for Burnie, Tasmania   SIR: Susceptible to infection - Infected - Recovery, Government responses and Economic impacts           Government policy is activated when there are 10 or fewer reported cases of COVID-19. The more people tested, the fewer people became infected
Simple epidemiological model for Burnie, Tasmania
SIR: Susceptible to infection - Infected - Recovery, Government responses and Economic impacts  

Government policy is activated when there are 10 or fewer reported cases of COVID-19. The more people tested, the fewer people became infected. So the government's policy is to reduce infections by increasing the number of people tested and starting early. At the same time, it has slowed the economic growth (which, according to the model,  will stop for next 52 weeks).
Matrix: 	R	D  R     4/7   3/7  D​	4/6   2/6     Based on these results, A Democrat will be in office in 2016 and a Republican  2020.
Matrix:
R D
R     4/7   3/7
D​ 4/6   2/6

Based on these results, A Democrat will be in office in 2016 and a Republican  2020.