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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.
Population Growth in an Agrarian Society with the addition of Industry.
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.
WIP Thyroid HPA axis dynamics based on Kohanin 2022 article and Ch3.5 of Uri Alon's System Medicine book. A series of secrete and grow physiological circuits
This System Dynamics model operationalizes the dynamic, reciprocal relationships between Subjective Culture, Self-construal, and Goal Orientation across developmental time.
Key Pathways Tested:
Culture→Goals & Self→Goals: Goal Orientation is calculated as a weighted composite where Alignment determines whether goals are internally or externally generated.
Culture→Self: Macro-level direct cultural socialization pulls Self-Construal toward cultural norms over developmental time (tmacro=18).
Goals→Self: Reciprocal feedback from goal pursuit reshapes Self-Construal, with the feedback rate moderated by Alignment ( cultural goodness-of-fit).
This model incorporates several options in examining fisheries dynamics and fisheries employment. The two most important aspects are the choice between I)managing based on setting fixed quota versus setting fixed effort , and ii) using the 'scientific advice' for quota setting versus allowing 'political influence' on quota setting (the assumption here is that you have good estimates of recruitment and stock assessments that form the basis of 'scientific advice' and then 'political influnce' that desires increased quota beyond the scientific advice).
