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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.

Dynamic system underlying project life cycles From Roberts Edward B The Dynamics of Research and Development p5 Harper & Row NY 1964

The dynamics of Research and Development

Geoff McDonnell

This model is derived from the paper "Nobody Ever Gets Credit for Fixing Problems that Never Happened: Creating and Sustaining Process Improvement" by Nelson P. Repenning and John D Sterman. See Insight 752 for a causal loop version of this model.

@LinkedIn, Twitter, YouTube

Credit Never Happened Simulation

Gene Bellinger

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:

http://www.nku.edu/~longa/classes/2020spring/mat375/mathematica/SIRModel-MAA.nb
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

Andrew E Long

This stock flow model uses three years of behaviour data from the school's own management system (Years 7 to 9) to analyse how debits, achievements, and detentions accumulate over time, and to project that pattern into Years 10 and 11.

Three stocks are modelled: Debit Stock, Achievement Stock, and Detention Stock. Monthly inflow rates are calculated from real school data using 10 months per academic year. All outflows are set to zero, reflecting the observable fact that the school's current policy contains no mechanism for clearing or resetting accumulated debits or detentions.

The model is validated against real data to within 0.5% accuracy. Baseline starting values are: 474 debits, 381 achievements, 223 detentions (March 2026).

Three scenarios are tested. Current practice: detention stock reaches 525 by end of Year 11. 4:1 intervention (Teacher_Adaptation 0.8): detention stock reaches 340. Maximum intervention (Teacher_Adaptation 1.0): detention stock reaches 277. All three scenarios produce continued accumulation because the structural outflow remains zero.

Key finding: without a policy mechanism that clears accumulated burden, no level of improved teaching practice alters the mathematical outcome. This demonstrates a policy-resistant system in Meadows' terms. For a pupil with a confirmed ADHD diagnosis, an accumulation-only policy produces unequal outcomes by design.

Data source: school behaviour management system, March 2026.

A Stock Flow Analysis of Behavioural Accumulation and the Structural Case for Equitable Policy: Alexander Years 7 to 11

Claire Cleary

2 days ago

Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus

SEIR Infectious Disease Model for COVID-19

Rolf Häsänen

679 7 days ago

Simulating Hyperinflation for 3650 days.

If private bond holdings are going down and the government is running a big deficit then the central bank has to monetize bonds equal to the deficit plus the decrease in private bond holdings. We don't show the details of the central bank buying bonds here, just the net results.

See blog at http://howfiatdies.blogspot.com for more on hyperinflation, including a hyperinflation FAQ.

Hyperinflation Simulation

Vincent Cate