Love affairs and Differential equations. From Michael J Radzicki (1993) Dyadic processes,tempestuous relationships, and system dynamics Syst. Dyn. Rev. 9 (1) :79-94 

Adam Smith's The Invisible Hand: The Feedback Structure of Markets. From Sterman JD Business Dynamics p170 Fig 5-26. A price-mediated resource allocation system..

Simple rich picture causal loop diagram of single and double loop learning including experiential learning concepts. Launchpad for Learning

Rich picture causal loops unfolding version of Insight 714, Based on Lyneis JM and Ford DN System Dynamics Applied to Project Management Syst. Dyn. Rev. 23, 157-189 (2007)

Prochaska's transtheoretical model (TTM) of behavior change. See also Agent Based VersionIM-11578

Hannon and Ruth Modeling Dynamic Biological Systems p67 adapted to Bond Graph Kinetic Modeling Metabolic Map Layout of insight IM-855 See also IM-2235 for unfolding version

Part of Urea Kinetic model for Clearance Experiments

Created in James Madison University's ISAT 341 Simulation and Modeling course by Joseph Straub and Andrew Funkhouser. Based on Mark Heffernan's Glucose-Insulin Insight Maker

Glucose Insulin Model Info:

Translated from Hormone.stm in Dynamic Modeling in the Health Sciences James L hargrove, Springer 1998, Ch 24 p255-261, by Mark Heffernan.

See stella video for population example WIP Simplest Innovation diffusion model from Sterman Business Dynamics Ch9, with Correlation coefficients added, from Taylor TRB et al. (2010)  Improving model understanding using statistical screening WSC paper See also System Dynamics Review 26 (1) p 73-87 and earlier 2005 SDR paper with CCtemplateExcel

Minimal model of glucose kinetics by Bergman, used to calculate insulin sensitivity from an Intravenous Glucose Tolerance Test (IVGTT). Plasma insulin I(t) enters a remote compartment X(t) where it is active in accelerating glucose G(t) disappearance into the periphery and liver, and inhibiting hepatic glucose production. Adapted from Minimal Models for Glucose and Insulin Kinetics: A Matlab implementation by Natal van Riel, Eindhoven University of Technology 2004 by Mark Heffernan.

The dynamics of health care spending, or why it keeps growing. Adapted from Fig 7.6 p154 of Sauwakon Ratanawijitrasin's PhD thesis SUNY Albany 1993 "The dynamics of health care finance: A feedback view of system behavior."

Addition of glucagon hormone action to control glucose homeostasis extended from IM-586

Dynamics of Emergency Room Crowding with treatment spaces and boarders waiting for ward beds (access block if the wait is too long).

WIP Stock Flow representation of Panarchy Adaptive Cycles

Here we have modified the SIR model of Insight 584 by adding an additional stock of Exposed people, who become Infective after an incubation period.

Jones AP, Homer JB, Murphy DL, Essien JDK, Milstein B, Seville DA.

Understanding diabetes population dynamics through simulation modeling

and experimentation. American Journal of Public Health 2006;96(3):488-494.

http://ajph.aphapublications.org/cgi/content/abstract/96/3/488

Created in James Madison University's ISAT 341 Simulation and Modeling course by Joseph Straub and Andrew Funkhouser. Based on Mark Heffernan's Glucose-Insulin Insight Maker

Glucose Insulin Model Info:

Translated from Hormone.stm in Dynamic Modeling in the Health Sciences James L hargrove, Springer 1998, Ch 24 p255-261, by Mark Heffernan.