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 UC Davis study gives yields for California, but the yields in Ontario are much less due to the less favourable growing conditions and season length (source:https://www.ontario.ca/page/dayneutral-strawberries). The revenue streams are different for the June-bearing and day-neutral strawberries depending on how many acres of each we have due to seasonal and off-season price differences and different yearly yields. The startup cost is the sum of the equipment, irrigation, and plant establishment costs, all of which depend on acres and set rates from the UC Davis study or the "Ontario Berry Crops Establishment and Production Costs 2022 Economic Report". The yearly expenses are labour costs, water cost, and fuel cost, which all depend on the number of acres and price rates for these aspects of the farm.

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

This model explores the relationship between AI resource investment and the resulting gains in efficiency and effectiveness. The purpose is to illustrate how allocating resources to AI can drive improvements in performance but may also reach a point of diminishing returns.
The model helps users understand how different investment rates impact AI-driven improvements in efficiency and effectiveness.

By adjusting the Investment Rate and observing changes in Efficiency Benefit and Effectiveness Benefit, users can gain insight into the tradeoffs of AI investment, observing points where added investment yields smaller returns. This visualization is valuable for decision-makers seeking to optimize resource allocation for maximum performance.

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

Star production was greater at the beginning of the universe, and has slowed down as lots of gases are now trapped in living stars. While this isn't true for every galaxy, this is a model simulating a galaxy where star formation rate is decreasing.

The dynamics of Oshawa's human population are influenced by a density-dependent growth rate. The population growth rate equals the mortality rate when the population reaches the city's carrying capacity, defined by available housing, jobs, healthcare, and other resources. The growth rate exceeds the mortality rate when the population is below carrying capacity, allowing for positive net growth. Likewise, when the population surpasses the city's carrying capacity, growth declines, and the mortality rate exceeds the growth rate due to overburdened resources and infrastructure.

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.

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

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

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.

This model demonstrates the tradeoff between the resource costs of deploying AI systems—specifically electricity and water consumption—and the benefits gained from increased efficiency and effectiveness. It simulates how the deployment of AI systems grows over time and quantifies both the cumulative costs and the cumulative efficiency gains.
The following link will show how I created the model using AI:
https://chatgpt.com/share/671ff44a-912c-8008-b1ef-6535fe0ae0b1

A model demonstrating the proportion of different power sources due to the residential and business sector demand in one day, as well as the carbon footprint in kg of CO2 produced. 

This complex system models an organic strawberry farm in Northumberland County, ON. The model aims to highlight the various factors that influence revenue and expenses of the farm, and overall can predict the cumulative net income over a 25 year period. 

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

This model displays how the population of the Earth changes. With a larger birth rate than death rate the population increases and heads towards K (carrying capacity). If the birth rate is lower than the death rate, the population will slowly diminish and will move away from carrying capacity.

The dynamics of homeless population in Toronto with constant homelessness and rehabilitation rates

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

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.

This model demonstrates how the population of trees fluctuates and changes when factors such as how much trees being planted and how many trees being harvested/torn down come into play! 

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

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.