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My InsightPublic Opinion Toward Immigration Reform: The Role of Economic Motivations

Luca Makarushka-Napp

Aposentadoria Complementar Outubro de 2025

Fernanda Damasio

5 months ago

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

Problem statement : “The world's out-of-school population has only fallen by just 1% in almost 10 years despite decades of progress”

Causal loop diagram - Margot, Victoria & Julia

Julia Kalioudjoglou

Description:

This is a system dynamics model of COVID-19 outbreak in Burnie which shows the process of infections and how government responses, impact on the local economy.

First part is outbreak model, we can know that when people is infected, there are two situations. One is that he recovers from treatment, but even if he recovered, the immunity loss rate increase, makes him to become infected again. The other situation is death. In this outbreak, the government's health policies (ban on non-essential trips, closure of non-essential retailers, limits on public gatherings and quarantine ) help to reduce the spread of the COVID-19 new cases. Moreover, government legislation is dependent on number of COVID-19 cases and testing rates.

Second part: the model of Govt legislation and economic impact. Gov policy can help to reduce infection rate and local economy at same way. The increase of number of COVID-19 cases has a negative impact on local Tourism industry and economic growth rate. On the other hand, Govt legislation also can be change when reported COVID-19 case are less or equal to 10.

Model of COVID-19 outbreak in Burnie(Yafei Shi 489576)

Yafei Shi

Economical 4H Insight

Jerners Lesren

Simulation of MTBF with controls

F(t) = 1 - e ^ -λt

Where

• F(t) is the probability of failure

• λ is the failure rate in 1/time unit (1/h, for example)

• t is the observed service life (h, for example)

The inverse curve is the trust time
On the right the increase in failures brings its inverse which is loss of trust and move into suspicion and lack of confidence.
This can be seen in strategic social applications with those who put economy before providing the priorities of the basic living infrastructures for all.

This applies to policies and strategic decisions as well as physical equipment.
A) Equipment wears out through friction and preventive maintenance can increase the useful lifetime,
B) Policies/working practices/guidelines have to be updated to reflect changes in the external environment and eventually be replaced when for instance a population rises too large (constitutional changes are required to keep pace with evolution, e.g. the concepts of the ancient Greeks, 3000 years ago, who based their thoughts on a small population cannot be applied in 2013 except where populations can be contained into productive working communities with balanced profit and loss centers to ensure sustainability)

Early Life

If we follow the slope from the leftmost start to where it begins to flatten out this can be considered the first period. The first period is characterized by a decreasing failure rate. It is what occurs during the “early life” of a population of units. The weaker units fail leaving a population that is more rigorous.

Useful Life

The next period is the flat bottom portion of the graph. It is called the “useful life” period. Failures occur more in a random sequence during this time. It is difficult to predict which failure mode will occur, but the rate of failures is predictable. Notice the constant slope.

Wearout

The third period begins at the point where the slope begins to increase and extends to the rightmost end of the graph. This is what happens when units become old and begin to fail at an increasing rate. It is called the “wearout” period.

BATHTUB MEAN TIME BETWEEN FAILURE (MTBF) RISK

Guy Lakeman

8

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

Lab 13 Start_Base model

Mikelia Heberer

6

Flexible Pollutant Fees

Stephen Hinton

economic inequality

Vo Thi Hoang Anh

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

Primitive Legend:

Grocery Store Inventory is a stock that represents the amount of perishable food units available for sale to consumers. This stock is directly affected by the forces of economics as grocers can only sell at the level that their produce is demanded. As a result, once this stock exceeds demand, it will rise as food no longer sold.

Overstock Waste is a stock that is designed to model the overstock display assumption which states that consumers have more incentive to purchase foods from fully stocked piles rather than empty ones. This stock exists and accumulates over time because grocers purchase excess produce to give buyers incentive.

Ugly Food Stock is the stock that represent the amount of perfectly nutritious ugly produce neglected by consumers as they only buy the prettiest clusters from the display. This stock includes foods such as brown bananas, dented apples, and so forth. These ugly foods are left behind in addition to the overstock waste.

Education Programs is the stock that contains the amount of ugly foods delivered to local school districts for educating students on the significance of ugly food discrimination. These foods are utilized in various forms of comparative demonstrations to illustrate to students that ugly foods are just as nutritious as prettier alternatives.

Compost Alternatives is the stock that depicts the efforts of grocery stores trying to implement a method that allows them to reduce the amount of waste they send to the landfill. These compost methods may be in the form on enriched manure given back to the farmers that supply the produce.

10 Food Units/Resale Output is the variable that illustrates the amount of food units required to make a product for resale. For example, it takes 10 units of melons to make an assorted melon platter. Likewise, a single smoothie for resale will require 5 units of assorted fruits.

ISCI 360 Project Stage 2

Zi Rui (Jerry) Li

Cornerstore Economic Model

Michelle Molskow

Vymazal Lukáš - seminární práce Finanční model

renyren

3 months ago

Rhino poaching in South - Africa

Anneli Ritzell

Health Determinants

Chelsea Poeppel

Co-Created CLD

Em Woodhall

Relationships between conceptual dimensions of economic development, based on the International Economic Development Council’s definition for economic development which states:

“Economic development can be defined as a program, group of policies, or activity that seeks to improve the economic wellbeing and quality of life for a community by creating and/or retaining jobs that facilitate growth and provide a stable tax base"

Economic Development

Laura Supple

5 months ago

Group Project - German recession risk

Anna Garrec

WFA4133 Graham-Schaefer model with variable F & Econmics

Michael Colvin

Final

Akshat Bansal

Model Explanation:

This system dynamics model visualises the impact on investment into policing and community engagement resources on the crime rates within the youth population of Bourke, NSW.
The model also adds in the variable of funding for safe houses. With a high rate of domestic violence, unfavorable home conditions and other socio-economic factors, many youth roam the streets with no safe place to go, which may lead to negative behaviour patterns.

Assumptions

Youth Population: 700
Total youth population in 2016 for Bourke LGA was 646 (ages 10-29). (Census, 2016) Figures rounded to 700 for purposes of this model simulation.

Constants:
70% registration and engagement rates for Community funded programs
30% attendance rate for Safe Houses
50% crime conviction rate

Variables

Positive and Negative Influences

The model shows a number of key variables that lead youth to become more vunerable to commit a crime (such as alienation, coming from households with domestic violence, boredom and socio-economic disadvantages such as low income), as well as the variables that enhance the youth's likelihood to be a contributing member of the community (developing trusted relationships and connections with others, and having a sense of self worth, purpose and pride in the community). These factors (positive and negative) are aggregated to a single rate of 50% each for the purposes of the simulation, however each individual situation would be unique.

Police Funding / Resources

Police funding and resources means the number of active police officers attending to criminal activities, as well as prevention tactics and education programs to reduce negative behaviour. The slider can be moved to increase or decrease policing levels to view the impact on conviction rates. Current policing levels are approx 40 police to a population of under 3000 in Bourke.

Crime Rate

Youth crime rates in Australia were 3.33% (2016). Acknowledging Bourke crime rates are much higher than average, a crime rate of 40% is set initially for this model, but can be varied using the sliders.

Community Program Funding / Resources

Community Program Funding and Resources means money, facilities and people to develop and support the running of programs such as enhancing employability through mentorship and training, recreational sports and clubs, and volunteering opportunities to give back to the community. As engagement levels in the community programs increase, the levels of crime decrease. The slider can be moved to increase or decrease funding levels to view the impact on youth registrations into the community programs.

Observations

Ideally the simulations should show that an increase in police funding reduces crime rates over time, allowing for more youth committing crimes to be convicted and subsequently rehabilitated, therefore decreasing the overall levels of youth at risk.

A portion of those youth still at risk will move to the youth not at risk category through increased funding of safe houses (allowing a space for them to get out of the negative behaviour loop and away), whom them may consider registering into the community engagement programs. An increase in funding in community engagement programs will see more youth become more constructive members of the community, and that may in turn encourage youth at risk to seek out these programs as well by way of social and sub-cultural influences.

Justice & Community Support Investment and the Impacts on Bourke Youth Population

Sarah Vassallo

5

MiPrimerModelo

LUISA FERNANDA GARCIA-BARZANALLANA WAY

Maine Lobster Monoculture cause by economic pressure

Anjar Adhiyoso