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Nobody seems to notice bubbles until they burst. One possible reason is that those caught up in a bubble are completely blinded by the grip, the overpowering logic and force excerted by the positive feedback loop that drives it. Financial bubbles occur time and time again - and nobody seems to learn. Another example on a different time scale is an argument that spins out of control and ends in violence. The participants seem to be blind to the consequences; the immediate and imperative logic of the feedback loop imposes itself. The vortex created by the feedback loop even seems to draw in outsiders, such as new investors. Is this the reason why we don't notice bubbles? This explanation is meant to stimulate discussion!

Bubbles and Feedback Loops
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It is a decision tree, followed by Markov model. Cost-effectiveness of LMS vs biopsy for detection of NASH among DM patients, followed by treatment by semiglutidetide
CE study, NASH DM
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Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.
Wrong Q2 Final Project w/ socio-economic
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Just need to add sensitivity testing and storytelling, as well as make simulation displays for each thing we want to show

Also, everything in the agent folder cannot be displayed as its own primitive, so you can't see their individual outputs. We need to make agent states that simply have the [primitive title] as their code.
GSGS4610_Greece_Germany_Migration_FinalModel
7 3 months ago
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WIP Clone of Conceptualizing Capitalism Insight to summarise Thorstein Veblen's writings on the Nature of Capital and other Institutional economics concepts
Veblen Nature of Capital
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Smithian growth model from Michael Joffe Fig. 3.7 p57 Ch3 Feedback Economics Book
Adam Smith's Growth through Division of labour
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not a mathematical model. just a general one
impact of globalization
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GSGS4610_FastFashion_FinalModel
3 months ago
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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
Complex Model to Simulate How COVID Outbreak Influence Economic Recovery in Burnie
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Kenya Wild Meat Value Chain Group Model Building Day 1
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Green lines: positive relationships
Red lines: negative relationships

Spill
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Ocean Acidification - Gulf of Mexico
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This Model was developed from the SEIR Model (Susceptible, Exposed, Infected, Recovered) and it predicts the COVID-19 outbreak in Burnie, Tasmania. This pandemic outbreak contributes to diverse rates including infection rate, death rates and recovery rate, government policies and its economic impacts.    

Assumptions:

 This model is driven by its determined rates, e.g., incubation rate, morality rate, test rate and immunity loss rate and its recovery rate.

Government policies are involved in fully vaccination rate, social distance, national border closure, travel, and business restriction which effect Burnie’s economy.

There are three economic entities dimensions in Burnie Island, we can tell that the pandemic has negative impact on Brick-and-Mortar enterprises and tourism business to some extent, whereas, e commercial business plays a crucial role to stimulate the regional economic activities during the COVID-19 period.

 

Interesting Insights:

 The figure of susceptible changes significantly during the initial 3 weeks because of low recovery rate and high infection rate. On the other hand, the implementation and interventions of government policies is effective, because the number of patients who tested negative is increased and the majority of them release and go back home after medical follow-up. 

Xueli Huang 501514, BMA708 Model of COVID-19 Outbreak in Burnie, Tasmania
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Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.
Q2 Final Project w/ socio-economic
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The concept of 'CLOSING A FEEDBACK LOOP'  means that a loop is closed to affect the person or agents that originally are  responsible for an action so that they plainly feel its effects. This almost inevitable leads to corrective action. One of the reasons why climate change does not  arouse passion and action is that it is largely invisible and most people are not aware of it, although extreme weather events are beginning to change this somewhat. The schematic representation shows how systems thinking might help to draw attention to such situations by graphically connecting the dots to promote understand and hopefully action when people realize that there is a price to be paid for inaction.  Please note, however, that the loop does not describe dynamic behaviour in the normal system dynamics sense. 

WHEN THIS LOOP CLOSES SOME WILL SUFFER BADLY
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Explanation:
Explanation:
This model presents the COVID-19 outbreak in Burnie and how the government reacts to it. Moreover, the model also illustrates how the economy in Burnie is impacted by the pandemic. The possible stages of residents when the infectious disease spreads in Burnie can be concluded as Susceptible, Infection and Recovery, which are used as the main data in this model. However, the improvement of decreasing of reported infection rates of this infectious disease and increasing of recovery rates are contributed by the implementation of the Government Health Policy. 

Assumption
The decrease of both infection rate and economic growth are all influenced by the Government Health Policy simultaneously. The Government Health Policy is only triggered when there are 10 cases reported. However, the increase in reporting COVID-19 cases affects economic growth negatively. 

Interesting Insights:
There are two interesting insights that have been revealed from the simulation. First, the death rate continuously increased even though the infection rate goes down. However, the increase in testing rates contributed to the stability of the death rate towards the end of the week. Moreover, higher testing rates also trigger faster government intervention, which can reduce infectious cases.  Second, as the Government Health Policy limited the chance of going out and shopping, the economic growth is negative due to the higher cases. 

BMA708, Assessment 3: Complex system, Burnie Covid-19 outbreak
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Model-SIM from Chapter 3 of Wynn Godley and Marc Lavoie's Monetary Economics, adapted for an open economy. The model is stock-flow consistent with only government money--no bills or bonds. No central bank and interest rates do not change. Government spends buying output from the production sector. The production sector is passive turning over all revenue over to households. Households save out of income and spend partially spend out of wealth. Imports and exports pass through the production sector illustrating the idea that consumer households buy from domestic businesses that which they have imported. The model also tracks the sectoral balance flows and changes in equity. Sectoral flows and equity balances match each other dollar for dollar to satisfy the sectoral balances accounting identity (Household Saving - Consumption) + (Business Saving - Expenditure) + (Taxes - Government Spending) - (Exports - Imports) = 0. Since business investment occurs internally to the Business Sector, 
SFC_Model-SIM_open_economy
2 months ago
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Jay Forrester's "Market Growth as Influenced by Capital Investment" model as rebuilt by Eric Stiens
Market Growth as Influenced by Capital Investment
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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.
Simulatie apparaten
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A sample model for class discussion modeling COVID-19 outbreaks and responses from government with the effect on the local economy.  Govt policy is dependent on reported COVID-19 cases, which in turn depend on testing rates less those who recover

Assumptions
Govt policy reduces infection and economic growth in the same way.

Govt policy is trigger when reported COVID-19 case are 10 or less.

A greater number of COVID-19 cases has a negative effect on the economy.  This is due to economic signalling that all is not well.

Interesting insights

Higher testing rates trigger more rapid government intervention, which reduces infectious cases.  The impact on the economy, though, of higher detected cases is negative. 




Burnie COVID-19 outbreak demo model version 2
39 11 months ago
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Study of the self-and all the rest society
Economic Insight
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Economic contibution
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Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.
Base Lab 13
3 8 months ago