Insight diagram
Clone of Pesticide Use in Central America for Lab work


This model is an attempt to simulate what is commonly referred to as the “pesticide treadmill” in agriculture and how it played out in the cotton industry in Central America after the Second World War until around the 1990s.

The cotton industry expanded dramatically in Central America after WW2, increasing from 20,000 hectares to 463,000 in the late 1970s. This expansion was accompanied by a huge increase in industrial pesticide application which would eventually become the downfall of the industry.

The primary pest for cotton production, bol weevil, became increasingly resistant to chemical pesticides as they were applied each year. The application of pesticides also caused new pests to appear, such as leafworms, cotton aphids and whitefly, which in turn further fuelled increased application of pesticides. 

The treadmill resulted in massive increases in pesticide applications: in the early years they were only applied a few times per season, but this application rose to up to 40 applications per season by the 1970s; accounting for over 50% of the costs of production in some regions. 

The skyrocketing costs associated with increasing pesticide use were one of the key factors that led to the dramatic decline of the cotton industry in Central America: decreasing from its peak in the 1970s to less than 100,000 hectares in the 1990s. “In its wake, economic ruin and environmental devastation were left” as once thriving towns became ghost towns, and once fertile soils were wasted, eroded and abandoned (Lappe, 1998). 

Sources: Douglas L. Murray (1994), Cultivating Crisis: The Human Cost of Pesticides in Latin America, pp35-41; Francis Moore Lappe et al (1998), World Hunger: 12 Myths, 2nd Edition, pp54-55.

REM 221 - Causal Loop diagramming
Insight diagram
An initial study of the economics of single use coffee pods.
Yuzuki Aizawa 10.3 Coffee Pods ISD Humanities v 1.02
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The simulation integrates or sums (INTEG) the Nj population, with a change of Delta N in each generation, starting with an initial value of 5.
The equation for DeltaN is a version of 
Nj+1 = Nj  + mu (1- Nj / Nmax ) Nj
the maximum population is set to be one million, and the growth rate constant mu = 3.
 
Nj: is the “number of items” in our current generation.

Delta Nj: is the “change in number of items” as we go from the present generation into the next generation. This is just the number of items born minus the number of items who have died.

mu: is the growth or birth rate parameter, similar to that in the exponential growth and decay model. However, as we extend our model it will no longer be the actual growth rate, but rather just a constant that tends to control the actual growth rate without being directly proportional to it.

F(Nj) = mu(1‐Nj/Nmax): is our model for the effective “growth rate”, a rate that decreases as the number of items approaches the maximum allowed by external factors such as food supply, disease or predation. (You can think of mu as the growth or birth rate in the absence of population pressure from other items.) We write this rate as F(Nj), which is a mathematical way of saying F is affected by the number of items, i.e., “F is a function of Nj”. It combines both growth and all the various environmental constraints on growth into a single function. This is a good approach to modeling; start with something that works (exponential growth) and then modify it incrementally, while still incorporating the working model.

Nj+1 = Nj + Delta Nj : This is a mathematical way to say, “The new number of items equals the old number of items plus the change in number of items”.

Nj/Nmax: is what fraction a population has reached of the maximum "carrying capacity" allowed by the external environment. We use this fraction to change the overall growth rate of the population. In the real world, as well as in our model, it is possible for a population to be greater than the maximum population (which is usually an average of many years), at least for a short period of time. This means that we can expect fluctuations in which Nj/Nmax is greater than 1.

This equation is a form of what is known as the logistic map or equation. It is a map because it "maps'' the population in one year into the population of the next year. It is "logistic'' in the military sense of supplying a population with its needs. It a nonlinear equation because it contains a term proportional to Nj^2 and not just Nj. The logistic map equation is also an example of discrete mathematics. It is discrete because the time variable j assumes just integer values, and consequently the variables Nj+1 and Nj do not change continuously into each other, as would a function N(t). In addition to the variables Nj and j, the equation also contains the two parameters mu, the growth rate, and Nmax, the maximum population. You can think of these as "constants'' whose values are determined from external sources and remain fixed as one year of items gets mapped into the next year. However, as part of viewing the computer as a laboratory in which to experiment, and as part of the scientific process, you should vary the parameters in order to explore how the model reacts to changes in them.
Clone of POPULATION LOGISTIC MAP (WITH FEEDBACK)
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WIP Exttension of IM-172005 Simulation of Goodwin01 Minsky Model. Compare with Part3 slide 5 of presentation in patreon

Clone of Goodwin02 Minsky Simulation Keen Economic Dynamics Aug2019
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Here I've translated the macoreconomic rule 'SPENDING = INCOME = OUTPUT, WHICH DRIVES EMPLOYMENT' into a negative feedback loop by adding an explicit goal of Output and Employment. As shown in 'Investment and Output 1', all the income earned has to be spent to maintain output and employment. Any shorfall in spending can be made up by any of the three sectors that contribute to total output. However, when spending/investment by the private sector is too small to maintain the required level of overall spending and the exports do not contribute enough to compensate for this shortfall then only the government can save the day through Net Spending, i.e. spending more than it collects in tax revenue. Taxation at any rate, according to Modern Monetary Theory (MMT) does not serve the purpose of financing spending but can be used legitimately to slow down an overheating economy. I have not taken into account 'structural reforms', which are often subject to the 'Fallacy of Composition' and of dubious value, at least in a recessive climate, according to MMT.
Investment and Output 2
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Este modelo es una copia de "Goodwin Business Cycle". Quité al menos una variable y aproximé la relación discreta entre el nivel de empleo y el crecimiento anual del salario con una función basada en la tangente hiperbólica.

Ciclo de conyunctura de Goodwin
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This is a reconstruction of the SIMM model presented in Chapter 2 of Feedback Economics (Contemporary Systems Thinking)

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Clone of Simple Macroeconomic Model (SIMM) (SFD)
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WIP Book summary of Frank Stilwell's 2019 Book, The Political Economy of Inequality, Polity Press podcast and slides
Political Economy of Inequality
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Causal loop representation of Keynesian macroeconomics taken from the System Dynamics literature, specifically Henize 1972 MIT D-memo D-1717. See also Nathan Forrester's SF CLD Diagram from his PhD IM-165714
Keynes theory of employment and inflation
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This model compares direct exchange prices to money prices. It demonstrates the distortion that monetary expansion or contraction has on the information contained in monetary pricing.
Clone of Pricing Model
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This model shows the operation of an extremely simple economy. The system produces and consumes each item (or good) at a fixed rate.

When production exceeds consumption, consumer goods accumulate in stocks. Trading may occur between actors in this system. That will not, however, affect the quantities of the stocks of goods. It only affects ownership (not a concern of this model.)
Simple Economy: Model 1
Insight diagram
From Bill Mitchell and Warren Mosler December2018 billy blog entry  and mosler's MMT white paper (google docs) 2019. Some highly aggregated stocks and flows and boundaries introduced.
Clone of The essence of MMT
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Se realiza un diagnóstico de los modelos de gestión de conocimiento que realiza las empresas de desarrollo de software en la ciudad de Medellin, Colombia.

¿Qué importancia tiene la GC en los procesos de desarrollo de software?
La ingeniería de software es un área en constante evolución, que se basa en la generación de conocimiento, la investigación, la experiencia teórica y práctica obtenida de las organizaciones, las comunidades y de las personas que brindan sus aportes a este proceso evolutivo. 

La Gestion de Conocimiento en Empresas de Desarrollo de Software en Medellin
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HANDY Model of Societal Collapse from Ecological Economics Paper 
see also D Cunha's model at IM-15085
Clone of Human and Nature Dynamics of Societal Inequality
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UBI diagram from Insight 1 linked to salutogenesis, life course trajectory and more detail on Child Development WIP 
Employment and Welfare Interventions Effect on the first 1000 days 2
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Clone of NATIONAL DEBT MODEL
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WIP of several books of Karl Polanyi's thoughts and papers around social science economic history and capitalism. . See also Summary of the Great Transformation IM-10640
Karl Polanyi Holistic thinking
3 7 months ago
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WIP Ideas from Science Special Issue May 2014
Clone of The Science of Inequality
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An initial study of the economics of single use coffee pods.
Alex Hunt Coffee Pods ISD Humanities v 1.02
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Adapted from Hartmut Bossel's "System Zoo 3 Simulation Models, Economy, Society, Development."

​Population model where the population is summarized in four age groups (children, parents, older people, old people). Used as a base population model for dealing with issues such as employment, care for the elderly, pensions dynamics, etc.
Clone of Clone of Z602 Population with four age groups
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This model shows the operation of a simple economy with two modifications made to Model 2 -- 1) feedback from production rate to consumption rate and 2) the use of a fractional rate input for calculating consumption rate. 

In summary, lower fractional rates of consumption (based on production) result in higher levels of Savings.
Simple Economy: Model 3
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THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES TURBULENT CHAOTIC DESTRUCTION

The existing global capitalistic growth paradigm is totally flawed

Growth in supply and productivity is a summation of variables as is demand ... when the link between them is broken by catastrophic failure in a component the creation of unpredictable chaotic turbulence puts the controls ito a situation that will never return the system to its initial conditions as it is STIC system (Lorenz)

The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite working containers (villages communities)

Clone of THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES CHAOTIC TURBULENCE (+controls)
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Clone of general Multiscale Innovation Dynamics Insight   to be applied to the specifics of health WIP
Multiscale health innovation dynamics
Insight diagram
Very basic stock-flow diagram of simple interest with table and graph output in interest, bank account and savings development per year. Initial deposit, interest rate, yearly deposit and withdrawal, and initial balance bank account can all be modified.
Clone of Stock-Flow diagram of savings account - simple interest