The dynamics of the human population in Oshawa are influenced by the carrying capacity.

• When the population is below the carrying capacity, the birth rate exceeds the death rate, leading to population growth.

• At the carrying capacity, the birth rate equals the death rate, and the population stabilizes.

• If the population exceeds the carrying capacity, the death rate surpasses the birth rate, causing a population decline.

This model demonstrates how population growth is controlled by the availability of resources and space.

People (Human): Used for stocks like population and carrying capacity. It represents the number of individual humans.

People per person per year (Human / Human / Year): Used for rates like birth and death rates, indicating the number of people added or subtracted per person in the population each year.

People per year (Human / Year): Used for flows like population change, representing the total number of people added or subtracted from the population annually.

The dynamics of moose (prey) and wolf (predator) populations

The dynamics of mouse (prey) and cat (predator) population

A model demonstrating the differences in productivity and cost in an arbitrary workforce (this could be one company/institution or an entire area). I used AI to assist me in creating this model, by explaining to it what I would like to have as my main stocks and what I'd like to model, and then had it suggest variables, flows, and links (and thus equations for the flows and variables as well). The actual initial values were also suggested by the AI.

The changing dynamics of distance and velocity over time according to several variables including, constant acceleration, constant mass, force and work. 

Relation between factors contributing to carbon emission and carbon absorption

The dynamics of a human population with density-dependent birth rate. When the population reaches the limit that the environment can support (carrying capacity), births and deaths happen at the same rate. If the population is below this limit, more people are born than die, so the population grows. If the population goes above the limit, more people die than are born, so the population shrinks

The changing dynamics of distance and velocity over time according to several variables including, constant acceleration, constant mass, force and work. 

This model simulates the growth of human populations at a global level and a local level (e.g., Oshawa) using logistic growth principles. It includes components for population size, birth rates, death rates, migration for local population, and carrying capacity. Each stock and flow is described with units and explanations.

The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.

Tanjiopolis is a unique municipality located in northern Canada, known for its extreme seasonal climate where there is six months of very hot summers followed by six months of very cold winters, with no transitional seasons. This distinct environment has driven Tanjiopolis to innovate and thrive, harnessing its natural resources to achieve energy independence.

The municipality has invested heavily in a robust infrastructure of solar and wind generators, complemented by a few nuclear power facilities. The nuclear plants operate at only 10% of their maximum capacity during the summer, as the abundant solar energy meets the municipality's power needs. In contrast, during the winter, the nuclear facilities ramp up to 100% capacity to compensate for the reduced solar output due to limited sunlight.

Tanjiopolis takes pride in its commitment to sustainability, reinforced by a government-mandated policy that requires 2 solar panels per residential building, 4 solar panels per small business building, and 6 solar panels per large business building. This ensures that the municipality can sustain a population of 3 million people entirely through renewable energy sources, maintaining a self-sufficient power grid that operates independently from external systems.

The dynamics of a moose population with density-dependent birth rate...the birth rate equals the death rate when the population is at carrying capacity; the birth rate is greater than the death rate when the population is below carrying capacity; the birth rate is below the death rate when the population is above carrying capacity.

The model shows us how the human population within the city of Oshawa with density-dependent birth rate and the Immigration rate where the birth rate and immigration equals the death rate and emigration rate when the population is at carrying capacity whilst the birth rate and the immigration is greater than the death rate and emigration rate when the population is below carrying capacity, the birth rate and immigration is below the death rate and emigration rate when the population is above carrying capacity.

Group 4:

Nami Zuha (100821467)

Zachary Wayne (100814747)

The purpose of the InsightMaker model is to model how Waste-to-Energy (WtE) technology impacts waste management efficiency, energy output and greenhouse gas emissions for the scale of ten years (assuming the WtE technology integration in an urban setting). This will determine if WtE has the capability of minimizing the reliance on waste landfills as well as assisting reaching renewable energy targets. This model will shine light on Waste-to-Energy sustainability opportunities and challenges.

Orange variables are associated with calculating waste volume, green variables are associated with calculating energy generation.

A model demonstrating the differences in productivity and cost in an arbitrary workforce (this could be one company/institution or an entire area). I used AI to assist me in creating this model, by explaining to it what I would like to have as my main stocks and what I'd like to model, and then had it suggest variables, flows, and links (and thus equations for the flows and variables as well). The actual initial values were also suggested by the AI.

The dynamics of Codfish (prey) and Shark (predator) populations. 

The model showcases a connected population growth of Codfish and Sharks in an ocean. The model has two positive feedback loops being the birth-rate of codfish and the birthrate of sharks; and two negative feedback loops being the death-rate of codfish and the death-rate of sharks. The stock components of the model link to each other through feedback loops. The feedback loops are the variables of codfish death-rate which depends on the stock of number of sharks, and the variable of shark’s birth-rate which depends on the stock of number of codfish in the ocean/model. 

Note: The following model is purely designed by ChatGPT with very limited human intervention.

This model simulates the tradeoff between the costs of AI resource allocation and the resulting benefits in terms of increased efficiency and effectiveness. It demonstrates how resources are invested in AI, how efficiency gains accumulate, and how diminishing returns impact the overall effectiveness over time. Key variables, such as resource cost, return on investment, and diminishing returns, illustrate the dynamic balance between resource consumption and productivity improvements.

The dynamics of a moose population with constant birth and death rates.

The dynamics of a moose population with constant birth and death rates.

The changing dynamics of distance and velocity over time according to several variables including, constant acceleration, constant mass, force and work. 

This simple system displays the dynamics of a monkey population present in the tropical rainforests of Africa, with constant birth and death rates. 

Plastic Pollution in the world. 

The dynamics of a moose population with constant birth and death rates.