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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.

Insight diagram
Two goal seeking structures attempting to resolve and based on the delay one may tend to settle for less. See also Archetypes.

Video

This model is part of

And? Understanding Relationships & Their Implications.

Drifting Goals
Profile photo Gene Bellinger
26
Insight diagram
La situación modelada expresa el crecimiento de las ventas impulsadas por la motivación y productividad, pero es frenada por el tamaño del nicho de mercado.
Límite de Crecimiento
Profile photo Marcelo A. Castro Iglesias
579 10 months ago
Insight diagram
WIP based on Lecture 4 and 11 of Uri Alon's 2024-5 course on Systems Aging repeated in 2025-6 System biology of aging and longevity 
Systems Aging Longevity genes and evolution
Profile photo Geoff McDonnell
last week
Insight diagram
A visual look at using technology in school based on the article:

 Levin, B. B., & Schrum, L. (2013). Using systems thinking to leverage technology for school improvement: Lessons learned from award-winning secondary Schools/Districts. Journal of Research on Technology in Education, 46(1), 29-51. 
Using Systems thinking for technology in education
Profile photo Rob koch
12
Insight diagram
The SEIRS(D) model for the purpose of experimenting with the phenomena of viral spread. I use it for COVID-19 simulation.
SEIR - COVID-19 (v.1)
Profile photo Remigiusz Kinas
65
Insight diagram
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
https://www.maa.org/press/periodicals/loci/joma/the-sir-model-for-spread-of-disease-the-differential-equation-model

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:
  1. http://www.nku.edu/~longa/classes/2020spring/mat375/mathematica/SIRModel-MAA.nb
  2. https://www.maa.org/press/periodicals/loci/joma/the-sir-model-for-spread-of-disease-the-differential-equation-model
Coronavirus: A Simple SIR (Susceptible, Infected, Recovered) with death
Profile photo Andrew E Long
62