profile image
Number of items: 124
Date joined: Apr 05 2016

Jon Darkow has taught a variety of science and science education courses at the high school and coll ...Read more Jon Darkow has taught a variety of science and science education courses at the high school and college level for the past 20 years. Currently, Jon teaches AP Physics, College Anatomy and Physiology I and II, and high school Biology at Marion L Steele High School in Amherst, Ohio. Jon is most interested in teaching scientific reasoning and systems thinking using system dynamics modeling. Hide full description


Jon Darkow's Work

#1

Cellular Respiration Inquiry

Model of the dynamics of the metabolism of one mole of glucose. Randomness is built into the computa ... Read more
Model of the dynamics of the metabolism of one mole of glucose. Randomness is built into the computations.
sim129660 runs
metabolism respriation ATP biology
#2

SIR COVID-19 Coronavirus Simulation

sim21640 runs
Environment Biology Science Education SIR
#3

Position, Velocity, and Acceleration Simulation

sim5050 runs
Science
#4

Beta Cell Simulation - Split story

sim90831 runs
#5

Lactase with Variable Sample Sizes

Arrayed Lactase Model
sim975629 runs
Lactase array sample size biology
#6

White-Eyed Genetics

White-eyed is an allele that results in a fly white eyes. Wild-type variants have red eyes. The ... Read more
White-eyed is an allele that results in a fly white eyes. Wild-type variants have red eyes. The goal of this simulation is to determine the pattern of inheritance for the white-eyed phenotype. Is yellow body dominant or recessive? Sex-linked or autosomal? Complete, incomplete, or codominant?
sim218270 runs
Genetics
#7

Water Potential and Osmosis

Factors that affect the flow across a semi-permeable membrane.
sim458130 runs
#8

Information Processing and Neurophysiology Model

The main dependent variable measured in the model is the membrane potential (millivolts) of two diff ... Read more
The main dependent variable measured in the model is the membrane potential (millivolts) of two different neurons in a series. You will be able to add excitatory and inhibitory neurotransmitters, and compare how these modulate electrical impulses of the two neurons. Additionally, you will be able to compare the effects of three neurotoxins: Tetrodotoxin, botulinum toxin, and sarin nerve gas. While extremely lethal, these toxins are very instructive in understanding neurons because of the specific way the toxins act. Each toxin modifies or inhibits a specific molecule in neurons that help process and transmit information.
sim390652 runs
infromation processing neurophysiology biology
#9

Tesing Unknown Enzymes

sim311140 runs
enzymes
#10

Slider Bets and Metacognition

sim89 runs
Education
#11

Stock, Inflow, and Outflow with Atrazine

Simple stock and flow diagram. Flows linear.
sim98 runs
stock flow atrazine
#12

Neurophysiology and Information Processing 2022

sim23621 runs
Biology information processing neuron neurotransmission neurophysiology
#13

Diffusion of a Spherical Cell

Why are cells small? This model allows users to see how the size of a sphere affects the rate of dif ... Read more
Why are cells small? This model allows users to see how the size of a sphere affects the rate of diffusion.
sim157920 runs
diffusion surface area volume radius
#14

Extinction

sim
#15

Evolving Bits N=40

sim3057 runs
evolution bits receptor substrate
#16

ATP Hydrolysis

sim8416 runs
Science ATP Free Energy Entropy
#17

Photosynthesis Simulation with Variance

sim211040 runs
#18

Photosynthesis Simulation - Simplified

sim167 runs
Environment Biology Science Ecology Education
#19

Evolving Bits

Diversity and selection for the basis of evolution. This simple model tries to illustrate these conc ... Read more
Diversity and selection for the basis of evolution. This simple model tries to illustrate these concepts.
sim1723 runs
Diversity Selection Evolution Receptor Antigen
#20

Carbon in the Atmosphere - Graphic Input constant

sim28 runs
#21

Illusions and Assumptions

sim1493 runs
Biology Science
#22

Thyroid Hormone - Negative Feedback

sim92485 runs
negative feedback thyroid hormone metabolism biology
#23

Ball Bet Code Generators for Answer Keys

sim846 runs
Education
#24

Predator Prey Model - Mobile

sim353 runs
Biology
#25

Gravitational Attraction of Three Bodies

sim672 runs
Science Education Forces Gravitation Physics
#26

Mechanical Energy and Kinematics

sim560 runs
Science Physics Energy Acceleration Velocity
#27

Lac Operon with Monod Bump

sim235340 runs
Lac Operon Gene Regulation mRNA
#28

Tryptophan Operon: A repressible system

sim102088 runs
#29

Apterous Genetics

Apterous is an allele that results in a fly without wings. Wild-type variants have normally function ... Read more
Apterous is an allele that results in a fly without wings. Wild-type variants have normally functioning wings. The goal of this simulation is to determine the pattern of inheritance for the apterous phenotype. Is apterous dominant or recessive? Sex-linked or autosomal? Complete, incomplete, or codominant?
sim342884 runs
Genetics
#30

Grant Finches Mobile

sim15 runs
#31

Student Model (X. Hicks and J. Margraf) - HIV

sim84 runs
#32

Oxytocin-P

sim38 runs
Biology
#33

Ball Bet 3.0.2

sim2 runs
#34

Exponential Growth

sim16576 runs
Biology Ecology
#35

Photosynthesis with Variable Sample Sizes

Sample sizes of Photosynthesis stocks in an array
sim225496 runs, 293 downloads
Download Model
#36

Circadian Clock in the Mouse

Transcriptional Translational Feedback Loop in the Mouse
sim33122 runs
Mouse Circadian Clock
#37

Beta Cell Membrane Transport - Insulin Regulation

sim375 runs
Insulin Glucose Beta Cell
#38

Transformation Simulation

Simulation allows students to test the transformation principle. Two major goals of the experiment a ... Read more
Simulation allows students to test the transformation principle. Two major goals of the experiment are: 1. Allow users to see that supernatant from heat-killed bacteria can transform the genes of another bacterium. 2. What transforms the inheritance of the bacteria is DNA, not RNA or proteins.
sim150784 runs
transformation DNA biology
#39

Understanding Linear Motion

Understand linear motion with automated feedback.
sim1466 runs
Science Education physics motion velocity
#40

Phosphorus in Lake: Changes to Flows in a Dynamic System

This model allows users to experiment with a very simple dynamic system: one stock (Phosphorus in a ... Read more
This model allows users to experiment with a very simple dynamic system: one stock (Phosphorus in a lake), an inflow (added P/day), and an outflow (removed P/day). The flows can either be constant throughout the simulation run, or dynamic (changing throughout the simulation run.)
sim4229 runs
flows dynamic phosphorus
#41

Phenology of the Karner Blue Butterfly

Karner Blue butterfly is an endangered species. Habitat loss and climate change are contributing fac ... Read more
Karner Blue butterfly is an endangered species. Habitat loss and climate change are contributing factors to the reduction in the butterflies' population sizes. Climate change can alter the timing of lifecycles. When climate change disproportionally affects the timing of life cycles of species in an ecosystem asynchrony within a food web occurs.
sim14587 runs
asynchrony timing phenology climate change butterfly
#42

Enzyme Diversity: Enzymes, Products, and Substrates

sim1317078 runs
enzymes substrates products DNA trypsin
#43

Cardiovascular Model

sim34167 runs
#44

System Dynamics of Carbon Budget

Simulation of the system dynamics of the global carbon dioxide budget based on the work on systems d ... Read more
Simulation of the system dynamics of the global carbon dioxide budget based on the work on systems dynamics based on John Sternman (MIT) and Krytyna Stave (University of Nebraska)
sim17556 runs
system dynamics carbon climate
#45

Cell Cycle Simulation

sim2559 runs
Biology
#46

Cell Cycle - Simpler 2020

sim66882 runs
Biology Science Education
#47

Chaos Theory: Strange Attractor

Manipulate the main variables of the Lorenz equation.
sim3079 runs
chaos theory Lorenz attractor manifold
#48

Soybean and Aphid Dynamics

sim172 runs
Environment Biology Science Economics Ecology
#49

Fruit Fly with variable sample size

sim43 runs
#50

Steady State in Freshwater Ecosystems

sim38905 runs
#51

HPV with Influenza A Humoral Immunity

Immune response of HPV
sim29968 runs
HPV antibodies biology Immunity
#52

HPV and Adaptive Immune Response

sim14976 runs
HPV Antibodies feedback loops vaccine
#53

Uniform Circular Motion

sim1006 runs
Science Education Circular Motion Physics
#54

Photosynthesis Model

sim3137892 runs
#55

Cellular Respiration Accounting Model

The purpose of the model is to understand how glucose is metabolized, and how the energy stored in i ... Read more
The purpose of the model is to understand how glucose is metabolized, and how the energy stored in its chemical bonds is transfered.
sim839136 runs
cellular respiration aerobic respiration ATP biology
#56

Lotka-Volterra Predator-Prey Model

Explore my favorite aspect of system dynamics and a historic example. The homeostasis generated by t ... Read more
Explore my favorite aspect of system dynamics and a historic example. The homeostasis generated by the interconnections of a negative feedback loop governs much of life.
sim371829 runs
negative feedback loop Lotka-Volterra homeostasis predator-prey
#57

Ball Bet for Metacognition - Random

sim110 runs
Education
#58

Limiting Nutrients in Aquatic Ecosystems

Experiment with a variety of nutrients that are limited by different degrees in four different ecosy ... Read more
Experiment with a variety of nutrients that are limited by different degrees in four different ecosystems.
sim157823 runs
limiting nutrients ecosystem biology logistic growth
#59

GLUT and Insulin

sim20 runs
#60

Oxytocin and Child Birth

sim282671 runs
#61

Genotyping with Electrophoresis

sim50275 runs
biology inheritance DNA restriction enzyme
#62

Logistic Growth Model and the Butterfly Effect

Model allows users to test the starting population size (N), the carrying capacity of the populatio ... Read more
Model allows users to test the starting population size (N), the carrying capacity of the population (K), and the intrinsic rate of growth (r max). Iterations are discrete, not continuous.
sim6969 runs
logistic growth carrying capacity
#63

Population dynamics of white footed mouse

sim2274774 runs
#64

Evolution: Grants Finches

Models the effects on population sizes of ground finches with different beak sizes in response to di ... Read more
Models the effects on population sizes of ground finches with different beak sizes in response to different amounts of annual precipitation.
sim13500 runs
evolution biology natural selection
#65

The dynamics of photosynthesis - variable sample size

The dynamics of photosynthesis - variable sample size
sim95176 runs
photosynthesis sample size biology
#66

Lactase Enzyme Simulation with Data Analysis

sim14569346 runs
#67

Transformation Experiment with Controls

Simulation allows users to test the bacterial transformation principle discovered by Frederick Griff ... Read more
Simulation allows users to test the bacterial transformation principle discovered by Frederick Griffith.
sim32124 runs
Biology Science Education transformation DNA
#68

Simple Genetics

sim144767 runs
#69

Tick Tock: The Biological Clock and Circadian Rhythm

Explore gene expression of the transcriptional-translational feedback loop (TTFL) of the mouse circa ... Read more
Explore gene expression of the transcriptional-translational feedback loop (TTFL) of the mouse circadian rhythm.
sim1128 runs
circadian clock feedback loop
#70

Fruit Fly Choice

Simulation to model random behavior in a fruit fly choice chamber
sim1052 runs
randomness random
#71

Recombination and Gene Linkage

sim182217 runs
#72

Enzyme Diversity

sim550193 runs
enzyme biology substrate pepsin indicators
#73

Evolution with Heterozygous Advantage

Evolution of Populations: Genetic Drift, Natural Selection, and Mutations
sim7697 runs
evolution natural selection genetic drift
#74

Extinction Vortex

sim80230 runs
#75

Soybean and Aphid Population Dynamics

sim4960 runs
Biology Science
#76

Guppy Evolution

sim217492 runs
evolution biology genes
#77

Evolution of LAP Allele in Mussels

sim89882 runs
Evolution Natural Selection Cline
#78

Neurophysiology and Neurotoxicity

The main dependent variable measured in the model is the membrane potential (millivolts) of a motor ... Read more
The main dependent variable measured in the model is the membrane potential (millivolts) of a motor neuron and the muscle fiber it innervates. You will be able to add excitatory and inhibitory neurotransmitters, and compare how neurotransmitters modulate the electrical impulses of the motor neuron and the muscle fiber. Additionally, you will be able to compare the effects of four neurotoxins: Tetrodotoxin, botulinum toxin, sarin nerve gas, and VX. While extremely lethal, these toxins are very instructive in understanding neurons because of the specific way the toxins act. Each toxin modifies or inhibits a specific molecule in neurons that help process and transmit information.
sim46458 runs
Neurophysiology toxins sarin VX TTX
#79

Growth Factors, Cyclins, and Cancer

Explores the feedback loops that regulate the cell cycle. Model focuses on manipulating stimuli (gro ... Read more
Explores the feedback loops that regulate the cell cycle. Model focuses on manipulating stimuli (growth factors), to stimulate the cell cycle feedback loops.
sim356822 runs
growth factors cyclins cell cycle cancer
#80

Carbon Cycle Simulation

Simulation tracks the movement of carbon to and from the atmosphere in Gt C (and Gt CO2). Users can ... Read more
Simulation tracks the movement of carbon to and from the atmosphere in Gt C (and Gt CO2). Users can manipulate with graphical inputs the changes in fossil fuel emissions, land-use, and ocean sinks.
sim12749 runs
Environment Biology Science Ecology Education
#81

Body Temperature Regulation with Scatter Plot

sim5195 runs
Biology Science Education Health
#82

Evolution of Antibiotic Resistance Simulation

Evolution of Antibiotic Resistance Simulation. This model tracks the accumulation of 40 colonies of ... Read more
Evolution of Antibiotic Resistance Simulation. This model tracks the accumulation of 40 colonies of bacteria. The main purpose of the model is to show that new adaptations are not caused by an environmental factor, like antibiotics. Rather, new adaptations are the selection of available variations. In this model you can increase variations by increasing the UV dose. The UV dose increases the mutation rate with a Monte Carlo function.
sim268876 runs
Biology Science Ecology Education
#83

Bathtub Dynamics

This simulation has three models. Model1 shows constant inflow and outflow into a bathtub. Model ... Read more
This simulation has three models. Model1 shows constant inflow and outflow into a bathtub. Model 2 shows constant inflow and nonlinear outflow based on the quantity of water in the bathtub. Model 3 shows constant inflow and nonlinear outflow based on the quantity of water in the bathtub. However, Model 3 uses Torricelli's law to calculate the flow rate based on physical principles. This law was formulated by Evangelista Torricelli, an Italian physicist, in the 17th century. It's an important principle in fluid dynamics and is closely related to Bernoulli's principle. Torricelli's law states that the speed (velocity) of efflux of a fluid through a hole under the force of gravity is proportional to the square root of the vertical distance (height) between the fluid surface and the center of the hole. The formula is given by efflux velocity = 2*g*ℎ​, where: g is the acceleration due to gravity (approximately 9.81 m/s² on Earth). ℎ is the height of the fluid column above the hole. The idea is that the fluid's potential energy due to its height is converted into kinetic energy as it falls. The higher the fluid, the greater its potential energy and thus the greater the speed at which it exits the hole. This principle is used in various applications, such as determining the flow rate of liquids from tanks, in hydrodynamics studies, and even in everyday situations like draining a bathtub. The law assumes an ideal fluid (incompressible and non-viscous) and neglects factors like air resistance and the viscosity of the fluid. It also assumes that the size of the hole is small compared to the depth of the fluid. The flow rate (the volume of fluid flowing per unit time) can be calculated by multiplying the cross-sectional area of the hole (A) by the velocity of the fluid (v), leading to the formula Q=A*v, where Q is the flow rate.
sim3040 runs
Environment Science Education Bathtub hydrodynamics
#84

Pendulum Model

sim50 runs
Science Education Physics Simple Harmonic Motion Pendulum
#85

Pattern with recessive single band

sim99999 runs
genetics
#86

Lactose Operon: An Inducible System

In this simulation users explore the negative feedback system of the Lactose Operon found in bacteri ... Read more
In this simulation users explore the negative feedback system of the Lactose Operon found in bacteria. Lactose induces the system by inhibiting and inhibitor.
sim159976 runs
Inhibition negative feedback biology lactose operon
#87

Catastrophic Regime Change in Aquatic Ecosystems

sim145089 runs
Ecology
#88

Evolution and Natural Selection

sim417859 runs
#89

Stock and Flow Teaching

model1220 downloads
Download Model
Education
#90

SIR Model for Coronavirus (COVID-19)

model2493 downloads
Download Model
Environment Biology Education
#91

Signal Transduction Example

model1118 downloads
Download Model
Biology Science
#92

Pop Growth with Resources v2

model1165 downloads
Download Model
#93

Pop Growth v2

model996 downloads
Download Model
#94

Pop Growth v3

model1076 downloads
Download Model
#95

Hormone Sample 1

model1046 downloads
Download Model
#96

Cardiac Myocytes

model1664 downloads
Download Model
Biology Education
#97

OT Feedback

model1355 downloads
Download Model
Biology
#98

Force and Position

model867 downloads
Download Model
Science physics
#99

CR and ATP coupled reaction

model1044 downloads
Download Model
Biology
#100

Projectile Motion Physics

model489 downloads
Download Model
Science Education physics science position
#101

Something

model1101 downloads
Download Model
#102

Two Variations - Population Growth

model1257 downloads
Download Model
Biology Science Ecology Education
#103

p53 and Cell Cycle

model1155 downloads
Download Model
Biology
#104

insulin secretion

model1042 downloads
Download Model
Biology
#105

SIR Model for Coronavirus (COVID-19) - with social distancing

This model was copied from Jon Darkow:
model1451 downloads
Download Model
Environment Biology Education
#106

Natural Selection Model v1

model1137 downloads
Download Model
Biology
#107

Mechanical Energy Model

model912 downloads
Download Model
Science Physics Acceleration Velocity Potential Energy
#108

SIR Model for COVID-19

This model was copied from Jon Darkow: This model was copied from Jon Darkow:
model1016 downloads
Download Model
Environment Biology Education
#109

Exponential Growth in Population - AF

Chapter 2: Modeling the Environment
model1367 downloads
Download Model
#110

Cellular Respriation: ID process flows

model1014 downloads
Download Model
#111

Chapter 2: Population Growth

Chapter 2 introduction
model1324 downloads
Download Model
#112

Cellular Respiration Matter

model1087 downloads
Download Model
#113

model1-mrd

model795 downloads
Download Model
#114

TSH-TH Feedback

model1269 downloads
Download Model
Biology
#115

Limiting Nutrients Model

model1341 downloads
Download Model
Environment Ecology Education
#116

Logistic Growth Model

model1647 downloads
Download Model
#117

Epinephrine Signal Transduction

model4543 downloads
Download Model
Biology Science Education
#118

Model1

model877 downloads
Download Model
#119

Modeling Constant Acceleration

model1182 downloads
Download Model
Science Education Physics Acceleration Velocity
#120

Comparing COVID-19 with xxx

This model was copied from Jon Darkow:
model1229 downloads
Download Model
Environment Biology Education
#121

Endocrine System Dynamics

This model shows how FSH regulates the reproductive cycle in females, and how diseases may emerge fr ... Read more
This model shows how FSH regulates the reproductive cycle in females, and how diseases may emerge from underproduction and excess production of the hormone. This model was developed for a high school Anatomy and Physiology class.
model1199 downloads
Download Model
Biology Physiology Feedback
#122

Differential Reproduction, Natural Selection Model

This is the fourth model in a sequence of models to show the logic of natural selection, formalized ... Read more
This is the fourth model in a sequence of models to show the logic of natural selection, formalized by Earnst Mayr. Mayr E. The growth of biological thought. Cambridge: Harvard University Press; 1982.
model1297 downloads
Download Model
Biology Science Education natural selection evolution
#123

CLD Example

diagram1422 downloads
Download Model
Biology
X

Uploading a Bundle from Zip

Instead of creating bundles, categories, and assemblies one by one, you can upload a single zip file that contains all of your bundle's content. To create your zipped bundle, make a folder with your bundle's name and add subfolders with your categories' names. The folder tree should have the same structure that you want the categories to have in your bundle. Place your assembly .stmx files in the appropriate category folders, then zip your bundle folder and upload it using the Upload Bundle from Zip link above.

Assemblies, Bundles, and Categories

Assemblies are self contained models that demonstrate common ways to connect together building blocks and that can be used as parts of other models. This is analogous to using prefabricated wall and roof pieces to construct a house.

Bundles are groups of assemblies with a common use or theme. For example, a Health Care bundle might contain a variety of assemblies that aid in creating health care models. When you download assemblies from the isee Exchange™, you download an entire bundle, rather than individual assemblies.

Categories are subgroups of assemblies within a bundle. For example, a Health Care bundle might contain a Funding category for assemblies related to the management of hospital funds. All assemblies must be assigned to a category—they cannot be assigned to the root of a bundle.

Assemblies, bundles, and categories can be created and uploaded to the isee Exchange™ via the options on the Manage My Assemblies page. To learn more, visit our help pages, or take our assemblies tutorial.

Sim App (Sim)

An interface that allows users to interact with a model.

Image of a sim

Sim apps allow users to interact with a model using buttons, sliders, knobs, tables, graphs, and storytelling. These interactions help users understand how parts of a system interact.

Interfaces are created by model authors in the Stella desktop software and can be uploaded to the isee Exchange™.

Model

A diagram that represents how elements in a system influence one another.

Image of a model

Models are mathematical representations of how elements in a system are connected and interact (e.g., ecosystems, organizations, supply chains). When running models on the isee Exchange™, results can be viewed in output devices like graphs and tables.

Models appear in the isee Exchange™ directory when authors upload them from the Stella® desktop software or create them with Stella Online™.

Causal Loop Diagram (CLD)

A map that represents the feedback structure of a system.

Image of a CLD

CLDs are high-level maps that represents the feedback structure of a system and easily communicate the essence of a model. They appear in the isee Exchange™ when authors upload them from the Stella desktop software or create them with Stella Online™.