Using
Simulations
This page looks at using simulations that could be used to complete your IA.
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A simulation IA is graded the same way as any other IA. The same rubric is used and the same expectations are required.
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Considerations
The simulation must have a decent number of variables.
Simulations that get the same answer every time and must be mentioned in the IA (Netlogo simulations will generate variability)
Simulations must be compared to 'real-life data'. For example, if you are using a simulation to look at a factor affecting the spread of HIV, comparing the database results to real-life data about how that factor affects the spread of HIV shows both personal engagement and a connection to scientific literature. This is a powerful technique for writing robust conclusions and evaluations in simulation IAs
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IA Walk THrough
Walk Through One - level 6 out of 7
Recommened
Simulation Software
Recommend NetLogo Models
HIV
This model simulates the spread of the human immunodeficiency virus (HIV), via sexual transmission, through a small isolated human population. It therefore illustrates the effects of certain sexual practices across a population
Bug Hunt Predators and Invasive Species
This model explores the stability of predator-prey ecosystems and how that stability is affected when new species are introduced into the ecosystem.
Plant Speciation
This is a model of parapatric speciation. The specific situation modeled is that of the speciation of a metal-tolerant variety of plant on the boundary between clean and contaminated ground.
Red Queen
This model demonstrates the ideas of competitive co-evolution. In the model there are two species: frogs and snakes.
Bacteria Food Hunt
This is a natural/artificial selection model that shows how counterbalancing forces of natural selection from the abiotic and biotic environment and from the distribution of resources needed for survival affect the outcomes of natural selection.
Bug Hunt Predators and Invasive Species - Two Regions
This model explores the stability of consumer producer ecosystems when different initial populations of predator, prey, and producers are initialized into the model and when different numbers of invasive species are added to the model run.
epiDEM Travel and Control
It simulates the spread of an infectious disease in a semi-closed population, but with additional features such as travel, isolation, quarantine, inoculation, and links between individuals. However, we still assume that the virus does not mutate, and that upon recovery, an individual will have perfect immunity.
Bacterial Infection
This is a natural/artificial selection model that shows how a population of bacteria can become more antibiotic resistant over time. The model represents an environment in a patient taking a regiment of antibiotics.
Wolf Sheep Stride Inheritance-
This model is a variation on the predator-prey ecosystems model Wolf-Sheep Predation.