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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

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.)
sim3804 runs
flows dynamic phosphorus
#2

Lactase with Variable Sample Sizes

Arrayed Lactase Model
sim943127 runs
Lactase array sample size biology
#3

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.
sim126532 runs
metabolism respriation ATP biology
#4

Position, Velocity, and Acceleration Simulation

sim4219 runs
Science
#5

SIR COVID-19 Coronavirus Simulation

sim20792 runs
Environment Biology Science Education SIR
#6

Beta Cell Simulation - Split story

sim88135 runs
#7

Photosynthesis Model

sim2971230 runs
#8

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.
sim156348 runs
diffusion surface area volume radius
#9

Tesing Unknown Enzymes

sim299587 runs
enzymes
#10

Photosynthesis with Variable Sample Sizes

Sample sizes of Photosynthesis stocks in an array
sim213764 runs, 288 downloads
Download Model
#11

Slider Bets and Metacognition

sim89 runs
Education
#12

Stock, Inflow, and Outflow with Atrazine

Simple stock and flow diagram. Flows linear.
sim98 runs
stock flow atrazine
#13

Neurophysiology and Information Processing 2022

sim22139 runs
Biology information processing neuron neurotransmission neurophysiology
#14

Extinction

sim
#15

Evolving Bits N=40

sim2868 runs
evolution bits receptor substrate
#16

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?
sim324751 runs
Genetics
#17

Genotyping with Electrophoresis

sim46711 runs
biology inheritance DNA restriction enzyme
#18

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.
sim140189 runs
transformation DNA biology
#19

Chaos Theory: Strange Attractor

Manipulate the main variables of the Lorenz equation.
sim2730 runs
chaos theory Lorenz attractor manifold
#20

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.
sim13616 runs
asynchrony timing phenology climate change butterfly
#21

Population dynamics of white footed mouse

sim1722714 runs
#22

ATP Hydrolysis

sim8265 runs
Science ATP Free Energy Entropy
#23

Photosynthesis Simulation with Variance

sim209098 runs
#24

Photosynthesis Simulation - Simplified

sim147 runs
Environment Biology Science Ecology Education
#25

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.
sim1713 runs
Diversity Selection Evolution Receptor Antigen
#26

Carbon in the Atmosphere - Graphic Input constant

sim28 runs
#27

Illusions and Assumptions

sim1177 runs
Biology Science
#28

Thyroid Hormone - Negative Feedback

sim88487 runs
negative feedback thyroid hormone metabolism biology
#29

Predator Prey Model - Mobile

sim178 runs
Biology
#30

Ball Bet Code Generators for Answer Keys

sim846 runs
Education
#31

Gravitational Attraction of Three Bodies

sim590 runs
Science Education Forces Gravitation Physics
#32

Mechanical Energy and Kinematics

sim514 runs
Science Physics Energy Acceleration Velocity
#33

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.
sim224357 runs
Biology Science Ecology Education
#34

Water Potential and Osmosis

Factors that affect the flow across a semi-permeable membrane.
sim453495 runs
#35

Evolution of LAP Allele in Mussels

sim88784 runs
Evolution Natural Selection Cline
#36

Oxytocin and Child Birth

sim273195 runs
#37

Grant Finches Mobile

sim15 runs
#38

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

sim84 runs
#39

Oxytocin-P

sim38 runs
Biology
#40

Ball Bet 3.0.2

sim2 runs
#41

Exponential Growth

sim15199 runs
Biology Ecology
#42

Circadian Clock in the Mouse

Transcriptional Translational Feedback Loop in the Mouse
sim32520 runs
Mouse Circadian Clock
#43

Beta Cell Membrane Transport - Insulin Regulation

sim287 runs
Insulin Glucose Beta Cell
#44

Enzyme Diversity: Enzymes, Products, and Substrates

sim1266055 runs
enzymes substrates products DNA trypsin
#45

Understanding Linear Motion

Understand linear motion with automated feedback.
sim1446 runs
Science Education physics motion velocity
#46

Cardiovascular Model

sim32118 runs
#47

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)
sim17258 runs
system dynamics carbon climate
#48

Cell Cycle Simulation

sim2559 runs
Biology
#49

Cell Cycle - Simpler 2020

sim66546 runs
Biology Science Education
#50

Soybean and Aphid Dynamics

sim152 runs
Environment Biology Science Economics Ecology
#51

Fruit Fly with variable sample size

sim43 runs
#52

Tryptophan Operon: A repressible system

sim90634 runs
#53

Steady State in Freshwater Ecosystems

sim37901 runs
#54

HPV with Influenza A Humoral Immunity

Immune response of HPV
sim29404 runs
HPV antibodies biology Immunity
#55

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.
sim341861 runs
growth factors cyclins cell cycle cancer
#56

HPV and Adaptive Immune Response

sim13623 runs
HPV Antibodies feedback loops vaccine
#57

Uniform Circular Motion

sim968 runs
Science Education Circular Motion Physics
#58

Pattern with recessive single band

sim96410 runs
genetics
#59

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.
sim142072 runs
limiting nutrients ecosystem biology logistic growth
#60

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.
sim147993 runs
Inhibition negative feedback biology lactose operon
#61

Ball Bet for Metacognition - Random

sim107 runs
Education
#62

GLUT and Insulin

sim20 runs
#63

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.
sim6743 runs
logistic growth carrying capacity
#64

Lactase Enzyme Simulation with Data Analysis

sim13969290 runs
#65

Enzyme Diversity

sim526176 runs
enzyme biology substrate pepsin indicators
#66

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.
sim378548 runs
infromation processing neurophysiology biology
#67

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.
sim2628 runs
Environment Science Education Bathtub hydrodynamics
#68

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.
sim343896 runs
negative feedback loop Lotka-Volterra homeostasis predator-prey
#69

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.
sim12804 runs
evolution biology natural selection
#70

Lac Operon with Monod Bump

sim214707 runs
Lac Operon Gene Regulation mRNA
#71

The dynamics of photosynthesis - variable sample size

The dynamics of photosynthesis - variable sample size
sim95119 runs
photosynthesis sample size biology
#72

Evolution and Natural Selection

sim381738 runs
#73

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.
sim31187 runs
Biology Science Education transformation DNA
#74

Catastrophic Regime Change in Aquatic Ecosystems

sim128859 runs
Ecology
#75

Simple Genetics

sim139379 runs
#76

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
#77

Fruit Fly Choice

Simulation to model random behavior in a fruit fly choice chamber
sim1042 runs
randomness random
#78

Recombination and Gene Linkage

sim164329 runs
#79

Evolution with Heterozygous Advantage

Evolution of Populations: Genetic Drift, Natural Selection, and Mutations
sim7697 runs
evolution natural selection genetic drift
#80

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?
sim200883 runs
Genetics
#81

Soybean and Aphid Population Dynamics

sim3852 runs
Biology Science
#82

Extinction Vortex

sim73880 runs
#83

Guppy Evolution

sim195748 runs
evolution biology genes
#84

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
#85

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.
sim810298 runs
cellular respiration aerobic respiration ATP biology
#86

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.
sim12220 runs
Environment Biology Science Ecology Education
#87

Body Temperature Regulation with Scatter Plot

sim5097 runs
Biology Science Education Health
#88

Pendulum Model

sim50 runs
Science Education Physics Simple Harmonic Motion Pendulum
#89

Stock and Flow Teaching

model1132 downloads
Download Model
Education
#90

SIR Model for Coronavirus (COVID-19)

model2391 downloads
Download Model
Environment Biology Education
#91

Signal Transduction Example

model1017 downloads
Download Model
Biology Science
#92

Pop Growth with Resources v2

model1071 downloads
Download Model
#93

Pop Growth v2

model904 downloads
Download Model
#94

Pop Growth v3

model977 downloads
Download Model
#95

Cardiac Myocytes

model1544 downloads
Download Model
Biology Education
#96

TSH-TH Feedback

model1180 downloads
Download Model
Biology
#97

Hormone Sample 1

model951 downloads
Download Model
#98

OT Feedback

model1259 downloads
Download Model
Biology
#99

Force and Position

model763 downloads
Download Model
Science physics
#100

CR and ATP coupled reaction

model941 downloads
Download Model
Biology
#101

Projectile Motion Physics

model380 downloads
Download Model
Science Education physics science position
#102

Something

model1007 downloads
Download Model
#103

Two Variations - Population Growth

model1139 downloads
Download Model
Biology Science Ecology Education
#104

p53 and Cell Cycle

model1048 downloads
Download Model
Biology
#105

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

This model was copied from Jon Darkow:
model1330 downloads
Download Model
Environment Biology Education
#106

insulin secretion

model948 downloads
Download Model
Biology
#107

Natural Selection Model v1

model1035 downloads
Download Model
Biology
#108

Mechanical Energy Model

model809 downloads
Download Model
Science Physics Acceleration Velocity Potential Energy
#109

SIR Model for COVID-19

This model was copied from Jon Darkow: This model was copied from Jon Darkow:
model923 downloads
Download Model
Environment Biology Education
#110

Exponential Growth in Population - AF

Chapter 2: Modeling the Environment
model1288 downloads
Download Model
#111

Cellular Respriation: ID process flows

model899 downloads
Download Model
#112

Chapter 2: Population Growth

Chapter 2 introduction
model1220 downloads
Download Model
#113

Cellular Respiration Matter

model996 downloads
Download Model
#114

model1-mrd

model690 downloads
Download Model
#115

Limiting Nutrients Model

model1226 downloads
Download Model
Environment Ecology Education
#116

Logistic Growth Model

model1528 downloads
Download Model
#117

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.
model1183 downloads
Download Model
Biology Science Education natural selection evolution
#118

Epinephrine Signal Transduction

model4431 downloads
Download Model
Biology Science Education
#119

Model1

model794 downloads
Download Model
#120

Modeling Constant Acceleration

model1080 downloads
Download Model
Science Education Physics Acceleration Velocity
#121

Comparing COVID-19 with xxx

This model was copied from Jon Darkow:
model1138 downloads
Download Model
Environment Biology Education
#122

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.
model1099 downloads
Download Model
Biology Physiology Feedback
#123

CLD Example

diagram1302 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™.