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Explore powerful simulation algorithms for System Dynamics and Agent Based Modeling. Use System Dynamics to gain insights into your system and Agent Based Modeling to dig into the details. Types of Modeling

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Explore What Others Are Building

Here is a sample of public Insights made by Insight Maker users. This list is auto-generated and updated daily.

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A simplified Science Olympiad trial model for comparing lake-restoration strategies. Adjust wastewater treatment, water-hyacinth removal, and wetland-buffer effort, then run the simulation to compare pollution load, pathogen risk, and hyacinth coverage over time. Values are normalized challenge indices, not field measurements or a real-world safety forecast.
Lake Endho Restoration Challenge Simulator
Insight diagram
Storytelling allows you to build a display sequence for an insight so it can be unfolded to tell the story of the model. You can sequence primitive visibility, messages and javascript actions to unfold the story of the model.
@LinkedInTwitterYouTube
Insight Maker/Storytelling Demo
Insight diagram
Summary of Ch 14 of Mitchell Wray and Watts Textbook see IM-164967 for book overview
The Macroeconomic Demand for Labour
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Learning exercise adapted from Donella Meadows "Thinking in Systems," Part One: Systems Structure and Behavior. The example is a single stock system (room temperature) managed by two competing goal-seeking balancing loops​, each of which is attempting to pull the stock to a different goal.
Loop B2
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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
These are simple constructs reproducing behaviors of dynamical systems as explained in Chapter 2 of Peter Turchin's Historical Dynamics.
simple equations