Regulation Models

These models and simulations have been tagged “Regulation”.

This model depicts a very simplified series of interactions between water quality inspectors and cannabis cultivators in northern California.
This model depicts a very simplified series of interactions between water quality inspectors and cannabis cultivators in northern California.
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
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
3 3 months ago
SD reformulation of  jama psychiatry article  mason2017 on neurocomputational model of mood instability and reward dysregulation in bipolar disorder
SD reformulation of jama psychiatry article mason2017 on neurocomputational model of mood instability and reward dysregulation in bipolar disorder
This model depicts a very simplified series of interactions between water quality inspectors and cannabis cultivators in northern California.
This model depicts a very simplified series of interactions between water quality inspectors and cannabis cultivators in northern California.
Explanation of delays in treatment effect and rebound effects on cessation of anti-depressant SSRI drugs based on Andrews
Explanation of delays in treatment effect and rebound effects on cessation of anti-depressant SSRI drugs based on Andrews
Book summary, relevant to positive capability framework
Book summary, relevant to positive capability framework
This model illustrates the incentive mechanisms established by the Australian regulator and their impact on the investment decisions of Distribution System Operators (DSOs). It captures how these regulatory incentives influence DSOs’ choices between investing in traditional grid infrastructure or em
This model illustrates the incentive mechanisms established by the Australian regulator and their impact on the investment decisions of Distribution System Operators (DSOs). It captures how these regulatory incentives influence DSOs’ choices between investing in traditional grid infrastructure or embracing digitalization technologies. The model integrates various factors, including network requirements, regulatory incentives, and investment strategies, to provide a comprehensive view of how DSOs balance the trade-offs between conventional upgrades and innovative digital solutions. By simulating these dynamics, the model helps to understand how regulatory frameworks can shape investment decisions and drive the evolution of the energy grid.
4 months ago
Physiology based insight to compare the energy balance and carbohydrate insulin models described in Nature Metabolism Obesity Causal Model Differences 2024  article  See also Speakman and Hall's 2021  science article  and  insight  and Stock flow Comparisons  insight
Physiology based insight to compare the energy balance and carbohydrate insulin models described in Nature Metabolism Obesity Causal Model Differences 2024 article See also Speakman and Hall's 2021 science article and insight and Stock flow Comparisons insight
3 months ago
Attempt to clarify the differences in the energy balance and carbohydrate insulin models described in Speakman and Hall's 2021  science article  and  insight  and Nature Metabolism Obesity Causal Model Differences 2024  article  and  insight
Attempt to clarify the differences in the energy balance and carbohydrate insulin models described in Speakman and Hall's 2021 science article and insight and Nature Metabolism Obesity Causal Model Differences 2024 article and insight
3 months ago