WIP Clone of IM-435 for Research (IM-345 was https://insightmaker.com/insight/435/Technology-and-Healthcare-Costs-and-Outcomes-2A simplified dynamic model, adapted from Engineering perspectives on healthcare delivery: Can we afford technological innovation in healthcare? Rouse, William B Systems Research and Behavioral Science 2009 Vol 26 (5) p573-582 abstract  Developed by Mark Heffernan See also IM-614 for learning effects.

POPULATION CONTROL BASED ON THE 2017 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

This expanded 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.

From Adomavicius G et al (2007) Information Technology and Management 8 (2) p185-202

Planning for a long development period doesn't always solve acquisition scheduling problems. Sometimes it makes them worse. From William E. Novak and  Linda Levine CMU SEI Sept 2010 Success in Acquisition: Using Archetypes to Beat the Odds paper and see webpage

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.

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 System Dynamics Review 26 (1) p 73-87

WIP Clone of IM-435 for Research (IM-345 was https://insightmaker.com/insight/435/Technology-and-Healthcare-Costs-and-Outcomes-2A simplified dynamic model, adapted from Engineering perspectives on healthcare delivery: Can we afford technological innovation in healthcare? Rouse, William B Systems Research and Behavioral Science 2009 Vol 26 (5) p573-582 abstract  Developed by Mark Heffernan See also IM-614 for learning effects.

Simple Bass diffusion modified from Sterman Business Dynamics Ch9. Compare with the SI infectious disease model Insight 584, to which we added churn and duplicated it to model a 2 sided marketplace..

In this 2-sided market model -- take etsy for example --  the adoption rate of end users is also a factor of how many vendors the company has on-boarded.  You can control the impact on end user adoption via the Choice Impact Factor.

Conversely,  the rate at which vendors will be on-boarded is a factor of the perceived opportunity they have to sell their wares.  You can control the rate at which suppliers are on-boarded via the Opportunity Impact Factor.

Copyright 2016 Whatifics Pte Ltd

Simple Bass diffusion modified from Sterman Business Dynamics Ch9. Compare with the SI infectious disease model Insight 584.

Clone of model: https://insightmaker.com/insight/610/Diffusion-of-Innovation-Bass-Model

Simple Bass diffusion modified from Sterman Business Dynamics Ch9. Compare with the SI infectious disease model Insight 584.

https://en.wikipedia.org/wiki/System_dynamics

https://pt.wikipedia.org/wiki/Din%C3%A2mica_de_sistemas

https://youtu.be/LRlkwN_cFnQ

Karim Chichakly's ithink Baby Health Care System Model with more general non-US terms. Needs review of forecast trend and calibration

The concept of bidding on a government contract is deceptively simple. Underbidding is a tactic that complicates all aspects of the process. From William E. Novak and  Linda Levine CMU SEI Sept 2010 Success in Acquisition: Using Archetypes to Beat the Odds paper and see webpage

There is a general belief that wind and solar will enable us to get fossil-fuels-use to net-zero. This is, unfortunately, impossible as an examination of only some limitations and constraints associated with solar and wind energy will show. Solar panels and wind turbines have now been used for many years, but until now they represent only a tiny fraction of total energy use (not just electricity but all forms of energy).  In 2020, wind accounted for 3% of the world’s total energy consumption and solar amounted to 1% of total energy. Thus, the combination of wind and solar produced only 4% of world energy in 2020. How long will we have to wait before they can generate enough energy to power the world? The climate emergency will not wait.  Solar panels and wind turbines have average lifespans of around 15 to 30 years, then they need to be replaced. However, the manufacture of the replacements will require fossil fuels since one cannot use wind or solar to build wind and solar. Further, solar panels do not supply enough energy. The net-energy gained from solar panels is only about 3.9:1. This net-energy ratio is known as ‘energy return on energy invested’ (EROI) and is critically important.  Unfortunately, the EROI of solar is far too low to power a modern industrial society, which requires an EROI of about 12:1. There is also the question of space. Renewable energy sources can take up 1000 times more space than fossil fuel – that is bad news for agriculture and food production in a world that is already experiencing food shortages because of global warming. If you take these limitations into consideration, then it becomes clear that solar and wind cannot solve our energy problem – they are a fix that will inevitably fail. 

Diagrams from Chen2011 IEEE Computer Article 

From Data Analysis and Visualization to Causality Discovery

A simplified dynamic model, adapted from Engineering perspectives on healthcare delivery: Can we afford technological innovation in healthcare? Rouse, William B Systems Research and Behavioral Science 2009 Vol 26 (5) p573-582 abstract  Developed by Mark Heffernan See also IM-614 for learning effects.

Impact of technology on business

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.

Análise comparativa e econômica de diferentes tipos de biomassa e óleos vegetais brasileiros para produção  de  alimento, ração animal e  de biocombustível e Agroenergia com o estudo de sua Rota Química. 

 

Simple Bass diffusion modified from Sterman Business Dynamics Ch9. Compare with the SI infectious disease model Insight 584.

Con la implementación del enfoque STEM (Science, Technology, Engineering and Mathematics), se busca formar jóvenes más curiosos, críticos y propositivos, que busquen dar solución a problemas reales de su entorno, región o país. De igual forma se puede explorar la orientación vocacional de los estudiantes, exponiendolos a situaciones problemáticas y retos que a través de preguntas orientadoras y acceso a diversas herramientas tecnológicas, les permita llegar a una propuesta para dar solución al problema planteado.

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

When projects attempt to please too many customers, complexity mounts, schedules slip, costs expand ... and no one is happy. From William E. Novak and  Linda Levine CMU SEI Sept 2010 Success in Acquisition: Using Archetypes to Beat the Odds paper and see webpage