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Ijssel Delta Final
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This page provides a structural analysis of POTUS Candidate Lindsey Graham's economic policy based on the information at: http://www.lindseygraham.com/issue/restore-fiscal-discipline/     http://www.lindseygraham.com/issue/ease-tax-and-regulatory-burdens/      http://www.lindseygraham.com/issue/achieve-energy-independence/     http://www.lindseygraham.com/issue/reform-entitlements/       The method used is Integrative Propositional Analysis (IPA) available: ​ http://scipolicy.org/uploads/3/4/6/9/3469675/wallis_white_paper_-_the_ipa_answer_2014.12.11.pdf
DRAFT IPA of Lindsey Graham Economic Policy
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This model is developed to simulate how Burnie can deal with a new outbreak of COVID-19 considering health and economic outcomes. The time limit of the simulation is 100 days when a stable circumstance is reached. 

Stocks
There are four stocks involved in this model. Susceptible represents the number of people that potentially could be infected. Infected refers to the number of people infected at the moment. Recovered means the number of people that has been cured, but it could turn into susceptible given a specific period of time since the immunity does not seem everlasting. Death case refers to the total number of death since the beginning of outbreak. The sum of these four stocks add up to the initial population of the town.

Variables
There are four variables in grey colour that indicate rates or factors of infection, recovery, death or economic outcomes. They usually cannot be accurately identified until it happen, therefore they can be modified by the user to adjust for a better simulation outcome.

Immunity loss rate seems to be less relevant in this case because it is usually unsure and varies for individuals, therefore it is fixed in this model.

The most interesting variable in green represents the government policy, which in this situation should be shifting the financial resources to medical resources to control infection rate, reduce death rate and increase recovery rate. It is limited from 0 to 0.8 since a government cannot shift all of the resources. Bigger scale means more resources are shifted. The change of government policy will be well reflected in the economic outcome, users are encouraged to adjust it to see the change.

The economic outcome is the variable that roughly reflects the daily income of the whole town, which cannot be accurate but it does indicate the trend.

Assumptions:
The recovery of the infected won't happen until 30 days later since it is usually a long process. And the start of death will be delayed for 14 days considering the characteristic of the virus.
Economic outcome will be affected by the number of infected since the infected cannot normally perform financial activities.
Immunity effect is fixed at 30 days after recovery.

Interesting Insights:
 In this model it is not hard to find that extreme government policy does not result in the best economic outcome, but the values in-between around 0.5 seems to reach the best financial outcome while the health issues are not compromised. That is why usually the government need to balance health and economic according to the circumstance. 
 

New outbreak of COVID-19 in Burnie
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Extremely basic stock-flow diagram of compound interest with table and graph output in interest and savings development per year. Initial deposit, interest rate, yearly deposit and withdrawal can all be modified in Dutch.
Stock-Flow diagram of savings account - compound interest
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Project Stage 1
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This is the summary of lecture ​1 of my Course about StartUps. It's an intro to the startup ecosystem and the different stakeholders that can interact with your new enterprise at different stages of its evolution and growth. -version 1 - for info or suggestions: bonato.pietroz@gmail.com
StartUp ecosystem
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economic model
Store sales
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Rainfall is posing a dangerous threat to high-precipitation cities such as Vancouver. In natural, forested conditions, 10-20 mm of the rainfall that occurs is intercepted by the lush, vegetative canopy of trees and plants, as it is eventually soaked into the ground before stormwater runoff is generated. This contrasts heavily with unnatural, urbanized areas, where runoff can be generated from as little as 2 mm of precipitation! In an average month in Vancouver, 240 mm of precipitation may fall in 30 days. This equates to an average of 8 mm of precipitation a day. As our climate continues to warm, the frequency and the intensity of our rainfall will only increase. By the year 2050, Vancouver is expected to experience a 5% increase in the volume of rain that occurs over the winter months, alternatively experiencing a 19% decrease in the amount of rainfall throughout the summer months. On Vancouver’s wettest days, extreme rainfall events are expected to intensify by 63%. Our snowpack  is expected to decrease by 53%, as our city’s snow will melt due to the increased temperatures. This will result in surface water flooding, sewer backups, and sewage overflow. Currently, Vancouver’s only approach to solving this issue is spending money to fix and replace the damages that are generated from this unmitigated stormwater runoff. The city of Vancouver has allocated $29.5 million towards Sewer Main replacement. The amount of runoff that is generated from our urbanized city is not only harming the environment, but the economy as well. What could possibly be a better solution than spending money to fix all of these damages runoff is creating? Green Infrastructure! By implementing green infrastructure, this issue is combated in a holistic manner. Through thoughtfully designed living roofs, swales, rain gardens, permeable paving, and rain barrels, we are able to mitigate this stormwater runoff in an effective way that supports our environment, economy, and our society.


As you can see through our model, implementing Green Infrastructure offers a solution to the issue of unmitigated storm water in Vancouver. This Green Infrastructure is engineered by landscape architects and hydrological engineers, and is able to adapt to a system specific to our regional conditions to ensure that the water runoff mimics the natural landscape of the land before our urban infrastructure ruined it. In our model under “Economic Trends,” there is an initial delay and drop in property value, which is due to a period of trial and error during the installation of Green Infrastructure. Investment in Green Infrastructure will increase, leading to the rise of property values. Moreover, in the “Environmental” section of our model, we initially see a decrease in our volume of unpolluted, drinkable groundwater. This occurs during the transition phase as Green Infrastructure is becoming implemented into our buildings and landscapes. Eventually, the amount of drinkable groundwater stabilizes and balances off. Furthermore, in our model under “Trends for Green Homes effect on UHI and Snowmelt/Snowpacks,” it is evident that as more homes are built with Green Infrastructure, the Urban Heated Island effect decreases, as the airflow is better regulated, leading to a cooler average temperature throughout the area. This allows for maintenance of our mountainous snowpacks, and thus decreasing the amount of runoff that is generated from snowmelt. Finally, our society is impacted by this solution of Green Infrastructure, as our population will be happy with the ample amount of accessible, clean drinking water that this solution provides them. Morale will increase as homes are no longer at risk of water damage due to flash floods, and environmental awareness will rise, along with motivation and drive towards creating a more sustainable and holistic lifestyle.
Clone of Assingment 2
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Ocean/atmosphere/biosphere model tuned for interactive economics-based simulations from Y2k on.
Lab 13 Base Model
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This model was proposed in a regulatory framework in Brazil. Its main idea is the obtainment of a dynamic control model to avoid the related parties issues on regulated public services over contract extensions. As the terminal condition of these contract extensions is NPV=0, the firms would have an incentive to contract related parties to inflate costs, and diminish their profits, in order to request a larger time extension. So, this system creates a stable "shadow" based on the 5 years before these extensions, where the company did not have such incentives.
Cost Efficiency Capture Model
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CLD ofClimate Change & Economic Activity
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Causal loop structure of system dynamics models of the business cycle and the Kondratieff long wave from Gene Bellinger's AI gemini prompts mc and mr Jan2026 From MIT Sloan school work esp Forrester and Sterman
Short and Long Business and Economic Cycles
5 months ago
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Economic model
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Model-SIM from chapter 3 of Wynn Godley and Marc Lavoie's Monetary Economics. Simplest model with government money that is also stock-flow consistent.
Clone of Model-SIM
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Crisis Migration - Political
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241004_economic growth model structure_SFD
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This page provides a structural analysis of POTUS Candidate Rick Perry's economic policy based on the information at: https://rickperry.org/issues/​ The method used is Integrative Propositional Analysis (IPA) available: ​ http://scipolicy.org/uploads/3/4/6/9/3469675/wallis_white_paper_-_the_ipa_answer_2014.12.11.pdf
DRAFT IPA of Rick Perry economic policy
Insight diagram
This page provides a structural analysis of POTUS Candidate Rand Paul's economic policy based on the information at:  https://www.randpaul.com/issue/spending-and-debt and also   https://www.randpaul.com/issue/taxes  The method used is Integrative Propositional Analysis (IPA) available: ​ http://scipolicy.org/uploads/3/4/6/9/3469675/wallis_white_paper_-_the_ipa_answer_2014.12.11.pdf
DRAFT IPA of Rand Paul Economic Policy
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Current and proposed Structure of CCP and related Models expanding on the details provided in the Project Completion plan IM-101760
Structure of the CCP Models
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A system diagram for the Mojave Desert including example socio-economic factors for an assignment at OSU- RNG 341.
Mojave Desert System Diagram with SES
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AISC v3
7 2 months ago
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This model simulates a COVID outbreak occurring at Burnie, Tasmania. It links the extent to the pandemic with governments intervention policies aiming to limit the spread of the virus. The other part of the model illustrates how will the COVID statistics and the government enforcement jointly influence the economic environment in the community. A number of variables are taken into account, indicating positive or negative relationship in the infection and the economy model respectively.

 

Assumptions

·         Government takes responsive actions when the number of acquired cases exceeds 10.

·         Government’s prompt actions, involving closure of the state border, lockdown within the city, plans on mandatory vaccination and testing, effectively control the infection status.

·         Economic activities are reduced due to stagnation in statewide tourism, closure of brick-and-mortar businesses, and increased unemployment rate, as results of government restrictions.

 

Insights

Government’s rapid intervention can effectively reduce the infected cases. The national vaccination rollout campaign raises vaccination rate in Australians, and particularly influence the death rate in the infection model. Please drag the slider of vaccination to a higher rate and run the model to compare the outcomes.

Although local economy is negatively affected by government restriction policies, consumer demand in online shopping and government support payments neutralize the negative impact on economy and maintain the level of economic activities when infections get controlled. 

Simulation model of COVID outbreak in Burnie Tasmania_Yuchen Zhang_574644
Insight diagram
Laying out and testing before coupling to main model (which is Final Project)
Socio-Economic Factors