This model simulates the growth of a human population based on  factors such as birth rate, death rate, and  carrying capacity. It calculates population change dynamically using human growth rate influenced by the maximum birth rate and minimum death rate. The carrying capacity (K) limits population
This model simulates the growth of a human population based on  factors such as birth rate, death rate, and  carrying capacity. It calculates population change dynamically using human growth rate influenced by the maximum birth rate and minimum death rate. The carrying capacity (K) limits population growth, ensuring the model reflects realistic constraints. This model can be applied globally or locally to study how populations evolve over time and respond to changes in resources and other external factors.
Human Population Growth Model
Jathushan Vishnukaran
Insight diagram
Infection Epidemics Social Media
Streamer Social Media Virality 2
Alexander St. John
12 5 months ago
Insight diagram
Software Engineering Optimization Model
Adam Laughlin
2 hours ago
Peircean process approach to Causation from Menno Hulswit's  article . See also Peirce thought insight  
Logic Causation Inquiry Inference Philiosophy Methods Realist Peirce

Peircean process approach to Causation from Menno Hulswit's article. See also Peirce thought insight 

Peircean Causation and Causality
Geoff McDonnell
10 months ago
Inference Robustness Assessment entails demonstrating that the ways a model differs from the real world do not affect model based inferences. From Jim Koopman's work on Infection Transmission Science esp  Biological Networks Book  Ch 13 p 453-4 and this accessible  paper  pdf
Causation Methods Inference Realist
Inference Robustness Assessment entails demonstrating that the ways a model differs from the real world do not affect model based inferences. From Jim Koopman's work on Infection Transmission Science esp Biological Networks Book Ch 13 p 453-4 and this accessible paper pdf
Inference Robustness Assessment
Geoff McDonnell
Insight diagram
Infection Epidemics Social Media
Streamer Social Media Virality 4
Alexander St. John
10 5 months ago
Insight diagram
Infection Epidemics Social Media
Streamer Social Media Virality 3
Alexander St. John
11 5 months ago
Insight diagram
FuturePulse V2
Clyde Romijn
12 months ago
Launchpad for insights related to Systems and Complexity in general and Systems Science for Health in particular. Current key participants are public health researchers, health service managers, clinicians, and mental health policy makers and practitioners
Systems Systems Science Methods Complexity Health Care
Launchpad for insights related to Systems and Complexity in general and Systems Science for Health in particular. Current key participants are public health researchers, health service managers, clinicians, and mental health policy makers and practitioners
My Systems Science Insights
Geoff McDonnell
2 weeks ago
WIP Based on Gene's Enabling a Better Tomorrow Map  IM-2879  this is a Specific Health Care version based on the archived  Systemswiki Health Care  material. The focus is on Models and Simulation, with videos and discussion in the fullness of time. I am following Gene's   Adventures in Wonderland  f
Systems Science Learning Thread Course Shaping Our Healthier Futures Map Methods
WIP Based on Gene's Enabling a Better Tomorrow Map IM-2879 this is a Specific Health Care version based on the archived Systemswiki Health Care material. The focus is on Models and Simulation, with videos and discussion in the fullness of time. I am following Gene's  Adventures in Wonderland framework. Revised for More Complex AnyLogic transition at IM-57331
Health Systems and Data Science Course
Geoff McDonnell
3 11 months ago
WIP integration of dynamic and complexity insights using rubik's cube metaphor from Pop Health Book insight  folders,  and others linked in notes
Explanation Systems Science Dynamic Complexity Multiscale CMO Epidemiology Causation Methods Realist Synthesis
WIP integration of dynamic and complexity insights using rubik's cube metaphor from Pop Health Book insight folders,  and others linked in notes
Beyond connecting the dots
Geoff McDonnell
11 months ago
WIP Summary of recent IEEE Computer graphics article  (abstract)  which could be applied to almost any chronic persistent health or social problem
Complexity Methods Theory Foundations Causation Understanding Simulation Inference Visualization Realist Systems Science Computation
WIP Summary of recent IEEE Computer graphics article (abstract) which could be applied to almost any chronic persistent health or social problem
Building useful theory on solid foundations
Geoff McDonnell
11 months ago
Insight diagram
Realistic Teaching Tool
Sarah Marshall
Stephen P Dunn 2010 Book summary including Technostructure MMT PCT critical realist and managing perceptions links
Politics Organization Society Economics
Stephen P Dunn 2010 Book summary including Technostructure MMT PCT critical realist and managing perceptions links
The Economics of JK Galbraith
Geoff McDonnell
9 months ago
Insight diagram
Realistic Teaching Tool
Ian Youngkin
From Stephen Toulmin's Book The Uses of Argument Cambridge University Press 2003. See  wikipedia   Also Francis Miller Claim Hexagon 2025 web article
Methods Realist Health Care Inference Reasoning

From Stephen Toulmin's Book The Uses of Argument Cambridge University Press 2003. See wikipedia  Also Francis Miller Claim Hexagon 2025 web article

Toulmin and Miller Argument Models
Geoff McDonnell
7 months ago
Insight diagram
Realistic teaching tool
Brittany Partee
Basic exponential growth model
Basic exponential growth model
A More Realistic Moose Population
Kasha
Insight diagram
Realistic Teaching Tool
Sage K Quiggle
Insight diagram
Realistic Teaching Tool
Brittney Jones
Spring, 2020: With the onset of the Covid-19 coronavirus crisis, we focus on SIRD models, which might realistically model the course of the disease. We start with an SIR model, such as that featured in the MAA model featured in https://www.maa.org/press/periodicals/loci/joma/the-sir-mod
Mat375 COVID-19 SIR SIRD Coronavirus Math Modeling
Spring, 2020:

With the onset of the Covid-19 coronavirus crisis, we focus on SIRD models, which might realistically model the course of the disease.

We start with an SIR model, such as that featured in the MAA model featured in

Without mortality, with time measured in days, with infection rate 1/2, recovery rate 1/3, and initial infectious population I_0=1.27x10-6, we recover their figure

With a death rate of .005 (one two-hundredth of the infected per day), an infectivity rate of 0.5, and a recovery rate of .145 or so (takes about a week to recover), we get some pretty significant losses -- about 3.2% of the total population.

Resources:
Key for Lab SIR 2 -- Coronavirus: A Simple SIR (Susceptible, Infected, Recovered) Model for Coronavirus
Andrew E Long
==edited by Prasiantoro Tusono and Rio Swarawan Putra== Spring, 2020: in the midst of on-line courses, due to the pandemic of Covid-19. With the onset of the Covid-19 coronavirus crisis, we focus on SIRD models, which might realistically model the course of the disease. We start with a
Mat375 SIR Math Modeling COVID-19 Coronavirus SIRD
==edited by Prasiantoro Tusono and Rio Swarawan Putra==

Spring, 2020: in the midst of on-line courses, due to the pandemic of Covid-19.

With the onset of the Covid-19 coronavirus crisis, we focus on SIRD models, which might realistically model the course of the disease.

We start with an SIR model, such as that featured in the MAA model featured in

Without mortality, with time measured in days, with infection rate 1/2, recovery rate 1/3, and initial infectious population I_0=1.27x10-4, we reproduce their figure

With a death rate of .005 (one two-hundredth of the infected per day), an infectivity rate of 0.5, and a recovery rate of .145 or so (takes about a week to recover), we get some pretty significant losses -- about 3.2% of the total population.

Resources:
Coronavirus: A Simple SIR (Susceptible, Infected, Recovered) with death - based on Andrew E Long
prazi.antoro
Insight diagram
Realistic teaching tool
Kevin T Shoemaker
Insight diagram
Realistic Teaching Tool
Joshua Brian Kirk