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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.
This model compares exponential growth vs logistic growth of a Quokka population. Quokka's are a small creature which are native to the Australian continent. This population increases due to addition of joey's that enter the initial quokka population through each quokka mother that gives birth. The loss of numbers is the quokka's leaving the population by death. This whole system keeps the quokka population in equilibrium and can also act as a guide to sustainability, as it allows us to view birth and death rates of a population. We can then work with the numbers of this model to decide how we want to approach this population with sustainability in mind. For example, a high birth rate means we would need to find methods to control the population to create a sustainable environment which is able to maintain this population.
The second version of the model introduces the concept of a Carrying Capacity and uses "logistic" growth formula, which "caps" the population - this is representing resource limitation.
Attempt to clarify the differences in the energy balance and carbohydrate insulin obesity models described in Speakman and Hall's 2021 science article See also Nature Metabolism Obesity Causal Model Differences 2024 article and insight
Parameters loosely based on Zhu, Y., Pan, X., Jia, Y., Yang, X., Song, X., Ding, J., Zhong, W., Feng, J., & Zhu, L. (2023) Exploring Route-Specific Pharmacokinetics of PFAS in Mice by Coupling in Vivo Tests and Physiologically Based Toxicokinetic Models. Environmental Health Perspectives, 131(12), 127012. https://doi.org/10.1289/EHP11969
Show relation of birth and death rate over time, creating the elements of the demographic transition. This one is for Bangladesh. You can clone this insight for other nations, just plug in the new crude birth and death rates and find the starting population in 1960.
A random walk demonstration using an ABM. As individuals drink more they become more intoxicated and their walk becomes more random. And when they drink to much it finally kills them.