THE 2020 MODEL (BY GUY LAKEMAN) EMPHASIZES THE PEAK IN POLLUTION BEING CREATED BY OVERPOPULATION.  WITH THE CARRYING CAPACITY OF ARABLE LAND NOW BEING 1.5 TIMES OVER A SUSTAINABLE FUTURE (PASSED IN 1990) AND NOW INCREASING IN LOSS OF HUMAN SUSTAINABILITY DUE TO SEA RISE AND EXTREME GLOBAL WATER R

THE 2020 MODEL (BY GUY LAKEMAN) EMPHASIZES THE PEAK IN POLLUTION BEING CREATED BY OVERPOPULATION.
WITH THE CARRYING CAPACITY OF ARABLE LAND NOW BEING 1.5 TIMES OVER A SUSTAINABLE FUTURE (PASSED IN 1990) AND NOW INCREASING IN LOSS OF HUMAN SUSTAINABILITY DUE TO SEA RISE AND EXTREME GLOBAL WATER RELOCATION IN WEATHER CHANGES IN FLOODS AND DROUGHTS AND EXTENDED TROPICAL AND HORSE LATTITUDE CYCLONE ACTIVITY AROUND HADLEY CELLS

The World3 model is a detailed simulation of human population growth from 1900 into the future. It includes many environmental and demographic factors.

THIS MODEL BY GUY LAKEMAN, FROM METRICS OBTAINED USING A MORE COMPREHENSIVE VENSIM SOFTWARE MODEL, SHOWS CURRENT CONDITIONS CREATED BY THE LATEST WEATHER EXTREMES AND LOSS OF ARABLE LAND BY THE  ALBEDO EFECT MELTING THE POLAR CAPS TOGETHER WITH NORTHERN JETSTREAM SHIFT NORTHWARDS, AND A NECESSITY TO ACT BEFORE THERE IS HUGE SUFFERING.
BY SETTING THE NEW ECOLOGICAL POLICIES TO 2015 WE CAN SEE THAT SOME POPULATIONS CAN BE SAVED BUT CITIES WILL SUFFER MOST. 
CURRENT MARKET SATURATION PLATEAU OF SOLID PRODUCTS AND BEHAVIORAL SINK FACTORS ARE ALSO ADDED

Use the sliders to experiment with the initial amount of non-renewable resources to see how these affect the simulation. Does increasing the amount of non-renewable resources (which could occur through the development of better exploration technologies) improve our future? Also, experiment with the start date of a low birth-rate, environmentally focused policy.

From NAP Toward Quality Measures for Population Health and the Leading Health Indicators  Report  with detailed Maternal  Infant and Child Health Example Fig.3-5
From NAP Toward Quality Measures for Population Health and the Leading Health Indicators Report with detailed Maternal  Infant and Child Health Example Fig.3-5
This is the base stock and flow diagram I will use to develop a larger system of influencing factors, from health, agri-food systems, and environmental models. Data was taken from UNICEF and UNFPA. Time = 0 starts at 1987.
This is the base stock and flow diagram I will use to develop a larger system of influencing factors, from health, agri-food systems, and environmental models. Data was taken from UNICEF and UNFPA. Time = 0 starts at 1987.
This connection loop demonstrates the negative effects of the consumption of energy drinks containing caffeine and/or taurine.
This connection loop demonstrates the negative effects of the consumption of energy drinks containing caffeine and/or taurine.
This systems model will help students understand the different systems that make up our body and how choices we make can impact how those systems work. Factors are based on daily choices.
This systems model will help students understand the different systems that make up our body and how choices we make can impact how those systems work.
Factors are based on daily choices.
 From 
Clone of Senior Design of Chronic Disease Management

From

Clone of Senior Design of Chronic Disease Management
Simple model of Paramecium with constrained growth.    Daffa Muhammad Romero  20/456363/TK/50493
Simple model of Paramecium with constrained growth.

Daffa Muhammad Romero
20/456363/TK/50493
I will be evaluating the needs of the community in Green Bay, WI in terms of the addiction treatment system.    Factors that lead to addiction.  This links to  Services women have expressed a need for or services that will likely be beneficial based on contributing factors   The services that are cu
I will be evaluating the needs of the community in Green Bay, WI in terms of the addiction treatment system. 
  • Factors that lead to addiction.  This links to
  • Services women have expressed a need for or services that will likely be beneficial based on contributing factors
  • The services that are currently available at the Women's Empowerment Center and otherwise found in the community
  • Assessment of services accessibility, usefulness, and ability for women to locate.  Also included is an assessment of how (women feel) services can be improved.
The last category consists of suggestions for improvement of current services or new services to implement.
Ophthalmologist Craig Blackwell described the
'Dry Eye Cycle' in two excellent videos with graphic descriptions. From his
description it becomes clear that the Dry Eye Cycle really consist of two
self-reinforcing feedback loops. I have constructed these feedback loops here because
they help explain
Ophthalmologist Craig Blackwell described the 'Dry Eye Cycle' in two excellent videos with graphic descriptions. From his description it becomes clear that the Dry Eye Cycle really consist of two self-reinforcing feedback loops. I have constructed these feedback loops here because they help explain the cycle, and understanding it may be very useful for suffers of the often debilitating 'dry eye syndrome '. The process usually starts with one of two deficiencies: the oil secreted from oil glands is too thick and does not adequately cover the aqueous film leading to evaporation and dryness or tear glands do not produce enough tears.  Dr. Blackwell stresses the role of inflammation which can lead to the progressive worsening of the condition and  which should be controlled. He suggests various treatments. I highly recommend watching the videos

https://www.youtube.com/watch?v=ooYcjzNtn58

https://www.youtube.com/watch?v=TwpWKCM31JI

SARS Modelling with SEIR Model. Author: Aulia Nur Fajriyah & Lutfi Andriyanto
SARS Modelling with SEIR Model.
Author: Aulia Nur Fajriyah & Lutfi Andriyanto
This Systems Thinking helped me in what I want to express in my action research paper.
This Systems Thinking helped me in what I want to express in my action research paper.
 This is a simple implementation of the SIR epidemiological model. See  Wikipedia  for a description.        The number of new infections is proportional to the total number of infected people, the fraction of the population that remains susceptible, and the ratio of the total number of infections p
This is a simple implementation of the SIR epidemiological model. See Wikipedia for a description. 

The number of new infections is proportional to the total number of infected people, the fraction of the population that remains susceptible, and the ratio of the total number of infections per case and the typical time to recover from an infection.
Dosage per day, Doses per day, Every ? hours, Medicine in Intestines, Drug absorption, Plasma level, Blood volume, Plasma concentration, ​Toxic level, Medicinal level, Drug excretion, Excretion rate, Half-Life
Dosage per day, Doses per day, Every ? hours, Medicine in Intestines, Drug absorption, Plasma level, Blood volume, Plasma concentration, ​Toxic level, Medicinal level, Drug excretion, Excretion rate, Half-Life
This systems model will help students understand the different systems that make up our body and how choices we make can impact how those systems work. Factors are based on daily choices.
This systems model will help students understand the different systems that make up our body and how choices we make can impact how those systems work.
Factors are based on daily choices.
This is the base stock and flow diagram I will use to develop a larger system of influencing factors, from health, agri-food systems, and environmental models. Data was taken from UNICEF and UNFPA. Time = 0 starts at 1987.
This is the base stock and flow diagram I will use to develop a larger system of influencing factors, from health, agri-food systems, and environmental models. Data was taken from UNICEF and UNFPA. Time = 0 starts at 1987.
This insight is about infection propagation and  population migration influence on this propagation.

For this, we defined a world population size and a percentage of it who’s infected. Then, we created an agent where we simulated possible states of an individual.
So, he can be healthy, infected (wi
This insight is about infection propagation and  population migration influence on this propagation. For this, we defined a world population size and a percentage of it who’s infected. Then, we created an agent where we simulated possible states of an individual. So, he can be healthy, infected (with an infection rate) or immunized ( with a certain rate of immunization). If the individual is infected, he can be alive or dead. Then, we simulated different continents (North-America, Asia and Europe) with a migration between these with a certain rate of migration (we tried to approach reality). Then, thanks to our move action which represents a circular permutation between the different continents with a random probability, the agent will be applied to every individual of the world population.

 How does the program work ?

In order to use this insight, we need to define a size of world population and a probability of every individual to reproduce himself. Every individual of this population can have three different state (healthy, infected or immunized) and infected people can be alive or dead. We need to define a percentage of infection to healthy people and a percentage of death for infected people and also a percentage of immunization.
Finally there is Migration Part of the program, in this one, we need to define three different continents, states or whatever you want. We also need to define a migration probability between each continent to move these person. With this moving people, we can study the influence of migration on the propagation of a disease.

Vincent Cochet, Julien Platel, Jordan Béguet
Sessions at November 2018 Saskatoon Workshop by Nathaniel Osgood on Combining Data Science and Systems Science for Health See also Youtube video  playlist
Sessions at November 2018 Saskatoon Workshop by Nathaniel Osgood on Combining Data Science and Systems Science for Health See also Youtube video playlist