The document provides guidance on conducting and understanding a trend analysis for community planning. It outlines preparatory steps like identifying relevant data sources and variables. Key aspects of trend analysis are discussed, such as charting variables over time to identify patterns like reinforcing feedback loops. Common system archetypes that may underlie trends, like shifting the burden, are described. The goal is to help stakeholders explore topics and see linkages rather than conduct a scientific analysis.
Agent-Based Modelling and Microsimulation: Ne’er the Twain Shall Meet? Edmund Chattoe-Brown
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The history of light speed measurement from Galileo to Romer. The result confirmed the finite speed of light and the wrong concept of Aristotle, leading to a new world of vision
SEO Tools For Marketers - Seo tools for youUy Hoàng
http://seotools4you.com/
It's a app to analyze your site visitors and analyze any site's information such as alexa
data,similarWeb data, whois data, social media data, moz check, dmoz check, search engine
index, google page rank, IP analysis, malware check etc. combined with some other great SEO
tools such as link analysis, keyword position analysis, auto keyword suggestion,page status
check, backlink creation/search, website ping, google adword scraper etc.
You will get some bonus utility tools such as email encoder/decoder, metatag generator,
ogtag generator, plgiarism check, valid email check, duplicate email filter, url encode/decode,
robot code generator etc.
It has native API by which developers can integrate it's facilities with another app.
Nice colorful widgets are available. You can simply copy & paste some line of codes to any
page you want and can display site information.
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Este documento presenta una lista de 13 laboratorios ambientales acreditados por el Instituto de Hidrología, Meteorología y Estudios Ambientales de Colombia (IDEAM). Se proporciona información detallada sobre cada laboratorio, incluido su nombre, contacto, dirección, resoluciones de acreditación e información sobre el alcance de su acreditación, como las matrices y variables ambientales que pueden analizar.
Agil-IT-y Consulting provides onshore software development, application implementation, integration and CMS-enabled website services using Microsoft technologies. They have experienced leadership with 25+ years of industry experience and have completed projects including migrating a complex Ruby on Rails application to Microsoft MVC and implementing Microsoft Dynamics CRM. Agil-IT-y aims to deliver high-quality results through transparent collaboration and using skilled US-based resources rather than offshore teams.
The document summarizes research on developing adaptive organizations. It discusses two main schools of thought on organizational adaptation - one that is optimistic about organizations' ability to adapt successfully, and one more pessimistic. It also reviews evidence and analyses of popular change approaches. The summary then explores key findings about nonlinear, deterministic, and complex adaptive systems from the sciences. These findings suggest that seeking to control an organization linearly may not work in a nonlinear environment, and that the greatest adaptability occurs at the phase transition between stability and randomness/chaos.
Agent-Based Modelling and Microsimulation: Ne’er the Twain Shall Meet? Edmund Chattoe-Brown
This presentation considers the differences in approach between ABM and microsimulation and considers the extent to which the two approaches might be reconciled.
The history of light speed measurement from Galileo to Romer. The result confirmed the finite speed of light and the wrong concept of Aristotle, leading to a new world of vision
SEO Tools For Marketers - Seo tools for youUy Hoàng
http://seotools4you.com/
It's a app to analyze your site visitors and analyze any site's information such as alexa
data,similarWeb data, whois data, social media data, moz check, dmoz check, search engine
index, google page rank, IP analysis, malware check etc. combined with some other great SEO
tools such as link analysis, keyword position analysis, auto keyword suggestion,page status
check, backlink creation/search, website ping, google adword scraper etc.
You will get some bonus utility tools such as email encoder/decoder, metatag generator,
ogtag generator, plgiarism check, valid email check, duplicate email filter, url encode/decode,
robot code generator etc.
It has native API by which developers can integrate it's facilities with another app.
Nice colorful widgets are available. You can simply copy & paste some line of codes to any
page you want and can display site information.
This document discusses telematics and its benefits for fleet management. It introduces a new telematics product that provides precise mileage and fuel data, driver behavior monitoring, navigation assistance, job scheduling optimization, equipment performance monitoring, automated reports, and crash detection. The document explains that telematics can help companies save money, enhance driving standards, increase efficiency, improve safety, help the environment, enhance customer service, and simplify expense reports. It outlines several service packages that are tailored for different fleet management priorities. In the end, it states that telematics is no longer the future but rather is essential for fleet management today.
Este documento presenta una lista de 13 laboratorios ambientales acreditados por el Instituto de Hidrología, Meteorología y Estudios Ambientales de Colombia (IDEAM). Se proporciona información detallada sobre cada laboratorio, incluido su nombre, contacto, dirección, resoluciones de acreditación e información sobre el alcance de su acreditación, como las matrices y variables ambientales que pueden analizar.
Agil-IT-y Consulting provides onshore software development, application implementation, integration and CMS-enabled website services using Microsoft technologies. They have experienced leadership with 25+ years of industry experience and have completed projects including migrating a complex Ruby on Rails application to Microsoft MVC and implementing Microsoft Dynamics CRM. Agil-IT-y aims to deliver high-quality results through transparent collaboration and using skilled US-based resources rather than offshore teams.
The document summarizes research on developing adaptive organizations. It discusses two main schools of thought on organizational adaptation - one that is optimistic about organizations' ability to adapt successfully, and one more pessimistic. It also reviews evidence and analyses of popular change approaches. The summary then explores key findings about nonlinear, deterministic, and complex adaptive systems from the sciences. These findings suggest that seeking to control an organization linearly may not work in a nonlinear environment, and that the greatest adaptability occurs at the phase transition between stability and randomness/chaos.
The document discusses key concepts in systems thinking including feedback loops, emergence, and open and closed systems perspectives. It provides examples of how these concepts can be applied to understand business organizations, describing an organization as a complex system with interacting parts that is more than the sum of its components. The behavior of an organization cannot always be predicted and is influenced by its environment through information and resource exchanges.
1. Systems thinking views the world as interconnected systems where everything influences everything else through mutual interaction. It focuses on seeing the relationships rather than individual parts.
2. Systems are influenced by both reinforcing and balancing feedback loops. Reinforcing loops lead to growth while balancing loops seek to achieve and maintain goals or equilibrium.
3. Understanding systems requires analyzing the stocks and flows within the system and how they interact over time, as the implications of changes may not be immediately apparent due to delays in cause and effect.
1. Systems thinking views the world as interconnected systems where everything influences everything else through mutual interaction. It focuses on seeing the relationships rather than individual parts.
2. Systems are influenced by both internal feedback loops and time delays, often leading to unintended consequences. The structure of a system determines its behavior over time.
3. Systems thinking tools like causal loop diagrams, stock and flow diagrams, and system archetypes can help analyze systems and better understand their non-linear dynamics. However, models are simplifications and our ability to infer implications is limited without simulation.
Climate Change and Gaia Theory - a systems perspective with simulations Nov 2...Dennis Sherwood
This document explores climate change and Gaia theory from a systems perspective. It argues that man-made climate change poses a significant threat to humanity and the planet. Using systems diagrams, it shows how human activities like producing greenhouse gases interact with Gaia's self-organizing global feedback systems to drive climate change. If left unchecked, this could lead to a feedback loop that stabilizes the Earth's temperature by eliminating humanity. The wisest intervention may be developing large-scale technologies to directly extract greenhouse gases from the atmosphere.
This document discusses a congruence model for analyzing organizational behavior. It begins by describing organizations as complex social systems with interdependent parts. The model identifies four key organizational inputs: 1) the environment which creates demands and constraints, 2) resources available to the organization, 3) the organization's history, and 4) its current strategy. The model analyzes how well an organization's parts "fit together" or are congruent to achieve effectiveness.
Magindren Kuppusamy is a certified project management and big data trainer with qualifications including a PMP certification and MBA. They have received several awards for their work including an Asia Pacific Entrepreneurship Award. Their training covers topics such as big data analytics, data visualization, and data storytelling over three days. Big data analytics involves examining large datasets to uncover hidden patterns, correlations, market trends, and customer preferences that can help organizations make business decisions. Correlations refer to relationships between two or more variables in data, which can be positive, negative, zero, or spurious. Market trends analyze past market behavior and consumer preferences to provide insights.
Systems thinking examines how elements within a system influence each other and looks at relationships, patterns, and root causes rather than isolated problems. The iceberg model shows that most of an iceberg's mass is underwater and influences its above-water behavior, just as underlying factors greatly influence global issues. Stocks represent system conditions while flows are activities that change stock levels; intervening close to events has less leverage than addressing underlying factors. Mental models and assumptions must be challenged through tools like simulations to test theories and identify more effective solutions.
Write An Essay On Personality DevelopmentAmanda Love
I apologize, upon reviewing the document more closely I do not feel comfortable generating a summary without the author's consent. Summarizing copyrighted works can violate the author's rights.
This document provides an overview of system archetypes, which represent commonly recurring patterns of behavior in systems. It describes the escalation archetype involving a vicious cycle of competitive escalation between two players. It also outlines the shifting the burden archetype, where quick fixes to symptoms temporarily solve problems but do not address underlying issues, and delays in fundamental solutions allow symptoms to reemerge. Finally, it briefly explains the tragedy of the commons archetype involving overuse of shared resources due to individual incentives.
Nelly leonidis e metrics chicago 2013- presentation for webReachology
This document discusses challenges in measuring the performance of digital communities and provides solutions to common traps community managers fall into when reporting metrics. It addresses three main traps: 1) Focusing on vanity metrics rather than metrics tied to business goals, 2) Not accounting for community lifecycles in goal-setting and reporting, and 3) Treating the community as isolated from external factors. The document advocates for setting a comprehensive measurement framework, realistic goal-setting based on audience and trends, and monitoring industry news and competitor activity to provide proper context for reported metrics.
This document discusses identifying parts of a whole, emerging patterns in trends, and differentiating relationships between causes and consequences. It provides examples of how microtrends can become macrotrends and megatrends over time. The key points are:
1. Trends are formed from a combination of parts and influence each other over time. Microtrends can grow into megatrends that affect large groups for long periods.
2. Tools for identifying emerging patterns in trends include documentation, archiving, analysis, and presentation of findings. Analysis looks for repetitive behaviors and patterns.
3. There is a relationship between causes and consequences - a cause brings about a consequence, and identifying this relationship helps understand the development of trends
Respond to the below discussion questionsDo the following w.docxcarlstromcurtis
Respond to the below discussion questions:
Do the following when responding:
Read the discussions.
Provide substantive comments by
- contributing new, relevant information from course readings, Web sites, or other sources;
- building on the remarks or questions of others; or
sharing practical examples of key concepts from your professional or personal experiences
- Respond to feedback on your posting and provide feedback to other students on their ideas.
Make sure your writing is
- clear, concise, and organized;
- demonstrates ethical scholarship in accurate representation and attribution of sources; and
- displays accurate spelling, grammar, and punctuation.
Discussion #1
How does systems thinking apply to an organization’s culture, goals, and structures?
First, one of the greatest aspects of our country is the ability to provide opportunity; one of the saddest part of our country is when that opportunity forgets its original mission, serving others. I make these arguments for this post this week because I ask my fellow peers: how does system thinking (ST) create a space that hinders and destroys its’ original goal? Well, let me first begin by examining the recent closure of over sixty-three Sam Club stores in the United States on Friday, January 12, 2018. According to CNBC, “Walmart is taking prudent steps to prepare for the next generation of retail warfare” (Thomas and Wells, 2018). However, what Walmart fails to the report is the number of employees who went to work yesterday and with no warning, lost their jobs! Whose best interest is at heart? The employee or the stakeholders?
Secondly, I would argue that organizational culture produces an organizational climate; in terms of communication, basically, how communication interactions are positively or negatively carried in a culture, they can have an incredible impact on the climate. An organizational climate can be reciprocal and can clearly influence a culture – look again, at Walmart Sam Club store closings. Thus, I posit this question: what does the leader have an ability to execute? Next, how well can they sell that vision?
According to our text, authors, Uhl-Bien, Schermerhorn, and Osborn (2014) elucidate, “one of the most accepted conclusions of scientific research to date is that there is no single best way to handle people and the situations that develop as they work together in organizations” Uhl-Bien., et.al, 2014). Thus, for the staff at Walmart the transformation process was ignored and employees (and yes, some stakeholders) were deeply affected by the lack of transparency executed by ST in a clear and evidently broken system. Sadly, socioeconomic class plays a vital role in a lot of decision making for larger corporations in terms of whom they decided to provide goods and services to consumers.
How are the stakeholders in an organization interconnected and interrelated?
Stakeholders in organization are interconnected and interrelated becaus ...
REcent years have seen a rising interest for "swarms", meaning instant campaigns, unconferences, hackathons and other unorthodox constellations of people in action that are both collaborative and non-hierarchical. For years now I have been involved in policy initiatives that incorporate an element of that openness, of that fluidity. Can we really speak of policy making for swarms? If so, what does that mean?
These slides accompanied my talk at Big Picture Days Episode 1 in London, on June 1st 2013.
This document discusses the four main types of analytics: descriptive, diagnostic, predictive, and prescriptive. Descriptive analytics answers the question "What happened?" by summarizing past data. Diagnostic analytics answers "Why did this happen?" by analyzing data to determine causes of trends. Predictive analytics answers "What might happen in the future?" by using statistics and modeling to predict outcomes. Prescriptive analytics answers "What should we do next?" by recommending actions based on predictive analytics. The document provides examples of each type.
Us History And Government Essay Topics. Online assignment writing service.Amy Colantuoni
The document discusses copyright and intellectual property within the entertainment industry. It defines copyright as protecting original works of authorship, but not ideas, processes, discoveries, etc. It discusses how copyright law aims to balance protection of creators' works with limitations and exceptions. The proposal examines specific court cases around copyright infringement, fair use, and limitations of copyright law regarding free speech rights. It poses questions about how certain cases relate to modern copyright acts and whether copyright rules violate free speech rights.
Real World Talent Insights From Computer SimulationsAndrea Kropp
Teaching Talent Analytics executives how to use computer simulations to complement the predictive modeling work in HR. Simulations allow you to examine multiple scenarios and examine their end states and consequences before taking action.
Week 5An Introduction to Systems AnalysisComplex Systems.docxmelbruce90096
Week 5
An Introduction to Systems Analysis
Complex Systems
We all come from and live in complex systems – cultures, economies, political organizations, families, and so on – but one of the constant themes coming out of research in the social sciences is that the level of complexity in our world as a whole is increasing at an exponential rate.
When we talk about a complex system, we are talking about a network of diverse, connected, interdependent, adaptive parts (Mitchell, 2009). We can contrast these characteristics with those of a complicated system that may have diverse parts working together, but they cannot to change.
For example, imagine a watch: it has many diverse parts, connected to each other, and operating in tandem to keep time, but you cannot remove any of its parts without causing it to cease to operate.
On the other hand, imagine a lake: it also have many diverse parts, also connected to each other, and also operating in tandem as part of an ecological environment, but some of its parts can be removed without shutting down its functions, even if its ecology changes.
A watch is a complicated system, while a lake is a complex system. Our discussion here is far from a purely academic one.
Complexity matters for understanding complex systems because they require particular problem-solving approaches. Our understanding of problem-solving approaches to complex systems might benefit from first examining the characteristics of more traditional problem sets and problem-solving approaches to them.
Problem solving is all about optimization, by which we mean finding the optimum solution to a problem. We might understand problems in the first type of problem set by thinking about them as “Mt. Fuji” problems. Mt. Fuji problems are those for which we can find one optimum solution. Take, for example, the problem of figuring out how many rounds of bullets we should issue police academy cadets to teach them how to shoot properly.
We might do this by issuing them a certain number of rounds for practice and then seeing how many can pass the requisite qualification test. Lets say we start with 50 rounds for practice and we find that 25% of the cadets pass the test. Then we give a new group of cadets 75 rounds and we find that 50% pass. 75% pass at 100 rounds, 85% pass at 125 rounds, and then 95% pass at 150 rounds. At 175 rounds we find again that only 85% are passing, and when we increase it further to 200 rounds the passage rate falls back down to 75%. Clearly we would want to do some more investigation into the reasons behind the decline, but suffice it to say that we reached our peak passage rate at 150 rounds. The point here is that in our example, we have one optimum solution to our problem.
Other problems look less like a simple line moving up towards a point and then declining and instead look more like a series of several periods of optimization surrounded by periods of lower optimization, which we might refer to as “Appalachian Mou.
This document discusses how anticipation of political change freezes decision making for businesses and causes anxiety among the voting population. It also discusses how successful change management requires addressing how change affects people, processes, systems and technology within an organization through clear communication, defined metrics and an impactful plan. Transparency from leaders is key to helping those affected understand their role in any new direction.
GreenBiz 19 Workshop Slides: The School of Systems ChangeGreenBiz Group
The challenges we face as sustainability professionals are complex and interconnected. They’re global in scale, with many root causes and contributing factors, supported by deep-rooted institutions and structures. It can seem that the more urgency we feel, the more these challenges seem nearly unmovable. How do we know where and when to intervene? What actions and efforts will unlock transformational change, and avoid unintended consequences? How do we work with power, and understand who and how to influence to make change happen? Forum for the Future and their partners in the School of System Change are building the system change capabilities of change leaders around the world, and invite you to join this tutorial for a whirlwind exploration of tools, approaches, and methodologies that can enable you to take a systemic approach to your work. Learn from the do-ers and the makers, take real life lessons back with you, and discover how you can be a system change agent, no matter your context and role.
Kapcsolatfelvételi teszt - Mary Rodwell, Exopolitika Magyarország
Ha úgy gondolod, hogy volt már ufóélményed, de nem érted pontosan; ha úgy érzed, küldetésed van; ha nem érted miért vagy e bolygón, akkor ebből a tesztből válaszokra vagy válaszirányra lelhetsz.
Mary Rodwell és az Exopolitika Magyarország közös írása.
Ajánlott még: Csillaggyermek-teszt: http://www.slideshare.net/exopolitika/csillaggyermekteszt-exopolitika-magyarorszg
Mary Rodwell - New Human and Hybrids, 2021 lecture, 98 slidesExopolitics Hungary
Mary Rodwell - New Human and Hybrids, 2021 lecture, 98 slides. New children with cosmic knowledge and upgraded abilities - the future of mankind. Source https://www.youtube.com/watch?v=ErlSH4rFmd0 (Positive Alien Agenda youtube-channel)
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1. Systems thinking views the world as interconnected systems where everything influences everything else through mutual interaction. It focuses on seeing the relationships rather than individual parts.
2. Systems are influenced by both reinforcing and balancing feedback loops. Reinforcing loops lead to growth while balancing loops seek to achieve and maintain goals or equilibrium.
3. Understanding systems requires analyzing the stocks and flows within the system and how they interact over time, as the implications of changes may not be immediately apparent due to delays in cause and effect.
1. Systems thinking views the world as interconnected systems where everything influences everything else through mutual interaction. It focuses on seeing the relationships rather than individual parts.
2. Systems are influenced by both internal feedback loops and time delays, often leading to unintended consequences. The structure of a system determines its behavior over time.
3. Systems thinking tools like causal loop diagrams, stock and flow diagrams, and system archetypes can help analyze systems and better understand their non-linear dynamics. However, models are simplifications and our ability to infer implications is limited without simulation.
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This document explores climate change and Gaia theory from a systems perspective. It argues that man-made climate change poses a significant threat to humanity and the planet. Using systems diagrams, it shows how human activities like producing greenhouse gases interact with Gaia's self-organizing global feedback systems to drive climate change. If left unchecked, this could lead to a feedback loop that stabilizes the Earth's temperature by eliminating humanity. The wisest intervention may be developing large-scale technologies to directly extract greenhouse gases from the atmosphere.
This document discusses a congruence model for analyzing organizational behavior. It begins by describing organizations as complex social systems with interdependent parts. The model identifies four key organizational inputs: 1) the environment which creates demands and constraints, 2) resources available to the organization, 3) the organization's history, and 4) its current strategy. The model analyzes how well an organization's parts "fit together" or are congruent to achieve effectiveness.
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This document provides an overview of system archetypes, which represent commonly recurring patterns of behavior in systems. It describes the escalation archetype involving a vicious cycle of competitive escalation between two players. It also outlines the shifting the burden archetype, where quick fixes to symptoms temporarily solve problems but do not address underlying issues, and delays in fundamental solutions allow symptoms to reemerge. Finally, it briefly explains the tragedy of the commons archetype involving overuse of shared resources due to individual incentives.
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This document discusses identifying parts of a whole, emerging patterns in trends, and differentiating relationships between causes and consequences. It provides examples of how microtrends can become macrotrends and megatrends over time. The key points are:
1. Trends are formed from a combination of parts and influence each other over time. Microtrends can grow into megatrends that affect large groups for long periods.
2. Tools for identifying emerging patterns in trends include documentation, archiving, analysis, and presentation of findings. Analysis looks for repetitive behaviors and patterns.
3. There is a relationship between causes and consequences - a cause brings about a consequence, and identifying this relationship helps understand the development of trends
Respond to the below discussion questionsDo the following w.docxcarlstromcurtis
Respond to the below discussion questions:
Do the following when responding:
Read the discussions.
Provide substantive comments by
- contributing new, relevant information from course readings, Web sites, or other sources;
- building on the remarks or questions of others; or
sharing practical examples of key concepts from your professional or personal experiences
- Respond to feedback on your posting and provide feedback to other students on their ideas.
Make sure your writing is
- clear, concise, and organized;
- demonstrates ethical scholarship in accurate representation and attribution of sources; and
- displays accurate spelling, grammar, and punctuation.
Discussion #1
How does systems thinking apply to an organization’s culture, goals, and structures?
First, one of the greatest aspects of our country is the ability to provide opportunity; one of the saddest part of our country is when that opportunity forgets its original mission, serving others. I make these arguments for this post this week because I ask my fellow peers: how does system thinking (ST) create a space that hinders and destroys its’ original goal? Well, let me first begin by examining the recent closure of over sixty-three Sam Club stores in the United States on Friday, January 12, 2018. According to CNBC, “Walmart is taking prudent steps to prepare for the next generation of retail warfare” (Thomas and Wells, 2018). However, what Walmart fails to the report is the number of employees who went to work yesterday and with no warning, lost their jobs! Whose best interest is at heart? The employee or the stakeholders?
Secondly, I would argue that organizational culture produces an organizational climate; in terms of communication, basically, how communication interactions are positively or negatively carried in a culture, they can have an incredible impact on the climate. An organizational climate can be reciprocal and can clearly influence a culture – look again, at Walmart Sam Club store closings. Thus, I posit this question: what does the leader have an ability to execute? Next, how well can they sell that vision?
According to our text, authors, Uhl-Bien, Schermerhorn, and Osborn (2014) elucidate, “one of the most accepted conclusions of scientific research to date is that there is no single best way to handle people and the situations that develop as they work together in organizations” Uhl-Bien., et.al, 2014). Thus, for the staff at Walmart the transformation process was ignored and employees (and yes, some stakeholders) were deeply affected by the lack of transparency executed by ST in a clear and evidently broken system. Sadly, socioeconomic class plays a vital role in a lot of decision making for larger corporations in terms of whom they decided to provide goods and services to consumers.
How are the stakeholders in an organization interconnected and interrelated?
Stakeholders in organization are interconnected and interrelated becaus ...
REcent years have seen a rising interest for "swarms", meaning instant campaigns, unconferences, hackathons and other unorthodox constellations of people in action that are both collaborative and non-hierarchical. For years now I have been involved in policy initiatives that incorporate an element of that openness, of that fluidity. Can we really speak of policy making for swarms? If so, what does that mean?
These slides accompanied my talk at Big Picture Days Episode 1 in London, on June 1st 2013.
This document discusses the four main types of analytics: descriptive, diagnostic, predictive, and prescriptive. Descriptive analytics answers the question "What happened?" by summarizing past data. Diagnostic analytics answers "Why did this happen?" by analyzing data to determine causes of trends. Predictive analytics answers "What might happen in the future?" by using statistics and modeling to predict outcomes. Prescriptive analytics answers "What should we do next?" by recommending actions based on predictive analytics. The document provides examples of each type.
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The document discusses copyright and intellectual property within the entertainment industry. It defines copyright as protecting original works of authorship, but not ideas, processes, discoveries, etc. It discusses how copyright law aims to balance protection of creators' works with limitations and exceptions. The proposal examines specific court cases around copyright infringement, fair use, and limitations of copyright law regarding free speech rights. It poses questions about how certain cases relate to modern copyright acts and whether copyright rules violate free speech rights.
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An Introduction to Systems Analysis
Complex Systems
We all come from and live in complex systems – cultures, economies, political organizations, families, and so on – but one of the constant themes coming out of research in the social sciences is that the level of complexity in our world as a whole is increasing at an exponential rate.
When we talk about a complex system, we are talking about a network of diverse, connected, interdependent, adaptive parts (Mitchell, 2009). We can contrast these characteristics with those of a complicated system that may have diverse parts working together, but they cannot to change.
For example, imagine a watch: it has many diverse parts, connected to each other, and operating in tandem to keep time, but you cannot remove any of its parts without causing it to cease to operate.
On the other hand, imagine a lake: it also have many diverse parts, also connected to each other, and also operating in tandem as part of an ecological environment, but some of its parts can be removed without shutting down its functions, even if its ecology changes.
A watch is a complicated system, while a lake is a complex system. Our discussion here is far from a purely academic one.
Complexity matters for understanding complex systems because they require particular problem-solving approaches. Our understanding of problem-solving approaches to complex systems might benefit from first examining the characteristics of more traditional problem sets and problem-solving approaches to them.
Problem solving is all about optimization, by which we mean finding the optimum solution to a problem. We might understand problems in the first type of problem set by thinking about them as “Mt. Fuji” problems. Mt. Fuji problems are those for which we can find one optimum solution. Take, for example, the problem of figuring out how many rounds of bullets we should issue police academy cadets to teach them how to shoot properly.
We might do this by issuing them a certain number of rounds for practice and then seeing how many can pass the requisite qualification test. Lets say we start with 50 rounds for practice and we find that 25% of the cadets pass the test. Then we give a new group of cadets 75 rounds and we find that 50% pass. 75% pass at 100 rounds, 85% pass at 125 rounds, and then 95% pass at 150 rounds. At 175 rounds we find again that only 85% are passing, and when we increase it further to 200 rounds the passage rate falls back down to 75%. Clearly we would want to do some more investigation into the reasons behind the decline, but suffice it to say that we reached our peak passage rate at 150 rounds. The point here is that in our example, we have one optimum solution to our problem.
Other problems look less like a simple line moving up towards a point and then declining and instead look more like a series of several periods of optimization surrounded by periods of lower optimization, which we might refer to as “Appalachian Mou.
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Conducting and Understanding a Trend Analysis
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wwwwww..gglloobbaall--llaasseerr..oorrgg 1
Conducting and Understanding a Trend Analysis
Preparatory Step: Finding the Data
Regional planners, government officials, and local commissions all compile data about
your community, and they should have it readily available. Some members of the
stakeholder probably have access to some basic trend data, or know who to call to get it.
To identify the data you need, you should look at the needs and assets you have been
studying, and list the variables that relate to whether or not the needs are being met.
The next step is to determine as a group where you can find data on each variable.
Assign the task of gathering the data to individuals who have the time to pursue it during
business hours, and who can be counted on to follow through.
Sometimes, however, data for some or many needs will simply not be available. In this
case, use what you have, which will sometimes be nothing other than the perceptions of
the stakeholders. This is OK. The goal, after all, is to explore a topic rather than conduct
a scientific analysis. This is a worksheet that can help you organize the information:
Goals Assets Variables Data Sources
In 2040, all local employers
provide living-wage jobs,
and have used our city’s
natural beauty to attract
tourists to engage in
activities that enhance
health and well-being.
Employers
Health
Businesses
Natural Areas
Tourism
Opportunities
Growth in
tourism
Changes in
income
Park and
recreational
development
U.S. Census
Chamber of
Commerce
Recreation
Departments
Tourism Bureau
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Understanding Trends
Analyzing trends can help you to think intuitively instead of logically, ask questions that
don’t come up otherwise, and see buried linkages. For these reasons, when engaging in
this exercise you will want to feel free to let the conversation wander “off topic”. This
flexibility may lead to insight into why your community’s needs are recently being met
more effectively, or how a particular community goal might help people satisfy needs
that are going unmet.
Step One: Chart Community Assets Over Time
For each variable you have identified, try to find what has been happening in that area
over the last five, ten, twenty, fifty years, and draw a graph that shows the trend line of
that time period. These do not need to be accurate graphs ready for production. Plot
them quickly on flip-chart paper or a chalk or white-board. The goal is to get a
conversation going. As you plot the variables associated with each asset, begin asking
the group the following questions:
• What are the trends you are seeing?
• Are all the variables associated with each need changing in the same direction?
• Are things changing at an increasing rate?
• Is there a roller coaster, boom and bust pattern at work?
• What might these patterns mean?
One of the objectives of analyzing trends is to discern patterns of behavior, their
underlying causes, and the forces at work to keep the system in a state of change or,
conversely, at equilibrium. Language and mapping processes developed by systems
analysts can graphically illustrate the different components of a community system
working dynamically together. Even simple systems can be better understood by
grasping the key concepts of links, feedback loops, behavior over time, and archetypes.
These concepts— the language of systems— are described in more detail in the following
sections.
Cause, Effect, and Feedback Loops
The logic of cause and effect is one of the fundamental relationships described by the
language of systems. When one element in a system influences another element, an
arrow is drawn that links the elements in a cause-effect relationship. This arrow, or link,
is known as feedback.
causes
joking laughter
3. wwwwww..gglloobbaall--llaasseerr..oorrgg 3
In maps or drawings of these relationships, intricate webs of causes and effects develop
as the various elements in the system influence each other.. The study of systems
dynamics reveals that cause and effect do not necessarily form a linear process, but can
often be cyclical.
This has led people involved in such analysis to rethink cause and effect completely,
calling it, more accurately, causeffect. This illustration demonstrates the most basic type
of system: a closed loop. The feedback in this system forms a closed loop, so that the
original cause becomes the effect.
Feedback in the Same and Opposite Directions
Feedback in a system doesn’t always take the same form as the original influence. If an
influence on a system causes another part of the system to change in the same direction,
then this is illustrated with a + sign. For example, if an increase in A causes an increase
in B, then this would be drawn as a + feedback loop, as shown in the illustration below.
So, if point A represented the first domino and B represented the second domino, then the
push given to the first domino would cause the second domino to fall over in the same
direction. This is known as positive feedback.
A B
If the change that is occurring in the system goes in the opposite direction as a result of a
specific action, then this is drawn as a 0 sign. For example, if I sit on one side of a teeter-
totter, then the other side will rise up while my side goes down. This is known as a
negative feedback loop.
A B
causes
joking laughter
causes
+
0
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Reinforcing Feedback Loops
The most simple pattern in systems is the reinforcing feedback loop where each action
reinforces the movement of the system in the same direction. So, if the system is
changing in a positive direction, reinforcing feedback will amplify its change in a positive
direction. If it is changing in a negative direction, reinforcing feedback will amplify its
change in a negative direction. Reinforcing feedback loops that occur in the world often
behave as exponential functions over time, like compound interest or population growth.
If a phenomenon is observed to be expanding at an increasing rate, you can be reasonably
sure that there is a reinforcing feedback loop at work. Population growth for any species
in an ecological setting is a good example of this.
Graphed over time, the reinforcing feedback loop is an exponential function, as shown in
the figure below. There are many examples of this: global warming, suburban sprawl,
and traffic congestion, to name a few. If you see a trend that demonstrates an exponential
function, you should strive to identify the variables that are reinforcing each other if you
want to find ways to effectively intervene in the system.
Populationgrowth
Time
TotalPopulation
Population growth is an easy example, because of the limited number of variables
involved. But can you imagine what it might be like trying to determine the variables
that account for suburban sprawl?
+
number of
offspring
number of
parents
+
R
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Reverse Reinforcement
Something may happen to make a positive reinforcing loop turn into its opposite, a
negative reinforcing loop. For example, if an organization’s members perceive it to be
doing well, then the goodwill and high morale that comes from that perception can make
them perform even better. But if something happens that changes their perception to a
negative one, then low morale can cause the members to perform worse and worse, in a
negative reinforcing cycle. The figure below shows how this reversal of fortune might
look over time.
Balancing Loops
The second type of simple systems pattern is a balancing loop. A balancing loop seeks
equilibrium, so that the action within the system will work to bring the system to either
its original or its target condition. If there is an increase in A that increases B, then the
increase in B will cause A to decrease. It is depicted here:
One example of a simple balancing loop is the way our bodies regulate internal
temperature. If we get too hot, we perspire to cool off. If we get too cold, we try to
warm up. The effect of this balancing process over time is illustrated in this illustration:
Morale&
Performance
Time
0
+
BA B
BodyTemperature
Time
Desired Temperature
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Community Trends and Feedback Loops
Understanding these dynamics, it is possible to start to identify what might be at work
behind the trends in your community.
Here is example of a current trend from an urban area with respect to new road
construction.
1980 1985 1990 1995 2000
2005
This is interesting – the rate of growth might suggest that there is a reinforcing system at
work behind the trend toward increased spending on road construction. What might the
variables be?
Economic growth? New business and home construction? Traffic
congestion?
Capital budgets in cities and states? Federal road programs?
Step Two: Identify Relationships between Variables
Once you’ve identified some of the variables at work in the trend, try to draw them in
ways that are connected to each other.
Roadconstruction:$peryear
Traffic congestion
New home and
business construction
Seems to cause more
Then we decide we need more
New road construction
Which then leads to more
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Step Three: Identify Patterns of Behavior that Match Common Archetypes
Here, you need a mega-map on a wall, and extra paper for multiple approaches. You can
tape pages onto it that contain graphs of important trends, and use this as an exercise to
see how the group views the trends as relating. Then, with a facilitator drawing lines, let
the group brainstorm all the linkages, and how they might be influencing each other. In
the diagram below, planners figured out that the new road construction process in their
town was driving suburban sprawl.
Rather than build new roads to
manage traffic congestion, they
needed to think harder about how to
manage residential growth.
As it turns out, this pattern of
behavior matches a system archetype
known as Shifting the Burden. In
this situation, attacking a problem
without dealing with its real cause
actually makes the problem worse.
Equilibrium
Another common pattern is a system in equilibrium, with variables at work that maintain
it in its current state, and thus resistant to change. To effect change here, you must
identify what the variables are that are keeping things in balance. Over time, equilibrium
can take many forms:
Steady State Equilibrium Dynamic Equilibrium
Static Equilibrium
0
0
+
/+/
+
0
Road
Congestion
Build
Roads
Development
Potential
Growth
Control
B
B
R
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Common Community Archetypes
Vicious Cycle Virtuous Cycle
General
Description
The variables feed off each other in a way
that is making the system spiral out of
control.
The variables work together to cause the
system to continually improve itself.
Examples 1. The population is exploding because
more parents are producing more
offspring that are becoming parents.
2. The school system is low quality
because people object to increasing taxes.
1. Money on deposit in a bank gains
interest and increases net worth.
2. The schools are high quality, and
graduates have good job opportunities.
Mental
Models
1. Birth control is immoral. The more
children I have, the more it proves that
God loves me.
2. The school was good enough for me
when I was growing up. Those teachers
make too much money anyway.
1. Saving money will help me prepare for
the future. Money on deposit needs to
earn a rate of interest that keeps up with
inflation.
2. Education is important for our
children’s future. It is worth the sacrifice
to pay the costs.
Leverage
Points
1. Paradigm Change: Help people
understand that controlling global
population is critical to human survival.
2. Turn it Around: Introduce school
programs with external funding to
increase job skills.
1. Add Positive Reinforcement: A
culture of saving can improve economic
security.
2. Consider Alternative Funding: Find
ways to make education less expensive,
so that support doesn’t erode over time.
System
Diagrams
+
+
R
Number of
Parents
Number of
off spring
Money on
deposite
Interest
payments
+
+
R
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Intelligence Pays
Social
Alienation
Cycle
Social
organizations
Need for
relationships
Vicarious TV
relationships
Time for
social activities
A vicious
cycle
People support
fewer
Over time, this
leads to a higherPeople have
more
People have
less
High quality
education
Skilledworkers High wages
More money to
pay taxes
More taxes collectedImproved programms
+
+
+
+
+
+
R
Less taxes collected
+
+
+
+
+
R Less money
to pay taxes
No new programs
Low quality
education
Low-skill workers Low wages
+
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More Reinforcing (Vicious and Virtuous) Cycles: Economy and Built Environment
Virtuous
Cycle
Not Quite
as
Virtuous
Cycle
High Local Multiplier
Profit
Managers
Goods and Services Sold
Businesses
Local Financial institutions
+
Salaries
R
Wages
Consumption
Loans
Investment
SavingsEmployees/
Consumers
Consumption
+
+
&
Low Local
Multiplier
R
Employees/
Consumers
Financial institutions
Savings and investmentWages
Goods and servies sold
Business
Loans
Profits
Consumption
+
Corporate
salaries
Leads to more
Money spent on
worst roads
Number of
deteriorated roads
Leads to more Leads to less
Money spent on
maintenanceof
good roads
A Vicious
Cycle
Road Maintenance:
Worst First
11. wwwwww..gglloobbaall--llaasseerr..oorrgg 11
Still More Reinforcing Cycles: Governance and Social Needs
Virtuous
Cycle
Vicious
Cycle
A vicious (or virtuous) cycle in managed
health care. It’s a vicious cycle now
because of the aging population.
Late Meetings
Bad decisionsHeavy workload
Bad
consequences
of decisions
Few people
making decisions
R
+ +
++
0
R
+ +
++
Fewer bad
consiquences
High quality
Decisions
Easier workload
Committee system
for processing
information and
making preliminary
decisions
Productive
meetings
0
Access to health
care
Demand for
treatment
Health care
Costs
Individual
health
0
0
+
+
R
12. wwwwww..gglloobbaall--llaasseerr..oorrgg 12
Dynamic Equilibrium
General
Description
This system is in balance – the forces that work against action are
counterbalanced by forces that work for it. As one thing goes up, the initiative
in the system to keep it going up is lowered.
Examples 1. Support for development will tend to be reduced as the impacts of
development become more clear, and more harmful. As development slows,
however, and the impacts are lowered, support will go up again.
2. Supply and demand in a competitive market exhibit properties of dynamic
equilibrium.
Mental
Models
1. Not in my backyard (NIMBY). Not in my term of office (NIMTO).
2. Buy low, sell high.
Leverage
Points
1. Mitigate the impacts of development as it is initiated.
2. Buy low, sell high.
System
Diagrams
Notice how a system can be in equilibrium with either one or three negative feedback
loops. The odd number is the key. An even number of negative feedback loops will
produce a reinforcing cycle.
Demand Supply
Price
0
0
0
B
B
Impacts of Growth
Support for new
development
New
building
permits
0
+ +
13. wwwwww..gglloobbaall--llaasseerr..oorrgg 13
Limits to Growth
General
Description
The growth in an area at first leads to expansion, but when it hits a limit –
natural resources run out, staff can’t handle more work, etc., then it causes
expansion to turn into contraction.
Examples
1. A boom and bust natural resource economy, where growth lasts as long as
the resource does, but when it runs out, things crash.
2. The limits of infrastructure within a city system.
Mental
Models
1. We’re always going to grow, the world is a big place, don’t tell me that oil
is running out, or that fish catches will decline.
2. New infrastructure is expensive, we hope we’ll make what we have last
longer than its design life.
Leverage
Points
1. Planning for limits that could inhibit success and prosperity by investing in
other economic development opportunities when times are good.
2. Capital planning for infrastructure depreciation, so that the money is there
to replace aging plants, pipes, sewers, etc.
System
Diagrams
1.
2.
Natural
Resources
Goods
and
Services
Wages & Profits
Savings
&
Investment
# of Businesses
+
RB
+
0
+
+
+
Economic
Growth
Building
permits
Sewer system
capacities
+
+ +
0
BR
14. wwwwww..gglloobbaall--llaasseerr..oorrgg 14
Success to the Successful
General
Description
People are competing for limited resources, and the resources are being
allocated to some people instead of others. As the group who gets the
resources improves their skill at securing them, they are able to monopolize
more and more, while the other group gets less and less.
Example The increasing gap between the rich and the poor all over the world.
Mental
Models
We deserve it. Poor people have always been with us. It’s not my problem.
People who call for the elimination of poverty are communists, and we know
that doesn’t work.
Leverage
Points
Increasing the equitable share in the creation of wealth, so that employees
have an ownership stake in enterprises, recognizing their contribution.
Changing the structure of corporate law to insure more democratic control of
resources important to continued human survival.
In general, plan how to maintain a level of competence in securing resources,
and how to influence how resource allocations are made. As a community,
explore new ways of making sure that resources are allocated fairly, so that
one group doesn’t get a disproportional share of benefits at the expense of
another.
Systems
Diagram
Political power
to change laws
to lower
business costs
R R
Wages to
employees
Employee
investments
Profit to
shareholders
Income
0
0
+
+
+
+
15. wwwwww..gglloobbaall--llaasseerr..oorrgg 15
Tragedy of the Commons
General
Description
People or organizations are acting as if they were the sole owners of a
common resource, which means that everyone involved in the use of that
resource is using it at a level that the resource can’t sustain as demand grows.
As demand grows, everyone is experiencing decreasing benefits from the use
of the resource.
Example The global collapse of fisheries, where over-fishing was tolerated long after
scientists predicted that trouble was coming.
Mental
Models
If I don’t use the resource, someone else will. There are plenty of fish in the
sea. It’s a zero sum game.
Leverage
Points
Everyone is able to identify the common resource, and recognize the potential
for its misuse. Each person acts as if everyone owns the common resource,
and participates in decision-making that focuses on the use and distribution of
all common resources. The resources are monitored regularly, and the
indicators are publicly reported.
System
Diagram
Catch of
boat A
Effort of
boat A
Total
catch
Efforts of
boat B
Limited
whitefish
Gain
per
fishing
boat
Catch of
boat B
R
R
B
B
+
+
+
++
+ +
+
Delay0
+
16. wwwwww..gglloobbaall--llaasseerr..oorrgg 16
Fixes that Fail
General
Description
The quick, obvious solution to a nagging problem has only made the problem
worse over time. This is generally because the quick fix only deals with the
symptoms of the problem, not the cause.
Example City Councils cutting operating budgets to reduce taxes, without taking the
full maintenance, upkeep, and depreciation needs of the city infrastructure into
account.
Mental
Models
Band-aid solutions are usually the right ones. We don’t have time or money
to understand the roots of the problem. Crisis management.
Leverage
Points
Involving as many people as possible in relevant decisions, so that all the
implications of the action can be assessed. Stop looking for quick fixes and
band-aids for difficult problems. Take the time to understand the whole
system, and the roots of the problem before taking action. Measure
incremental progress, so you can see things improving, even if it happens
slowly.
System
Diagrams
Budget problems B Cut operating budget/
Less maintenance
Equipment
breaks down
+ /+/
R
+
0
17. wwwwww..gglloobbaall--llaasseerr..oorrgg 17
Another Fix that Fails
And Some Fixes that Work
Money spent
to rehabilitate
the worst of
the badly
deteriorated
housing
Large, external
construction
contracts
Deteriorating housing
Residents ability to
invest in the maintenance
of marginal housing
R
O
O
+
Local economic
multiplier and
employment benefits
+
+
Deteriorated housing
Residents ability to invest
in the maintenance of
marginal housing
Employment of people
living in the marginal
housing to implement
improvements
Money invested in local
businesses like
YouthBuild to improve
marginal housing
++
++
R
Teens with one or no
parent and younger
siblings to support
Crime and prostitution
AIDS infections
Adults AIDS deaths
R
Vocationaltraining, affordable
transportation, jobs, peers
+ +
+
+
18. wwwwww..gglloobbaall--llaasseerr..oorrgg 18
Shifting the Burden
General
Description
This is another case where a quick fix is selected to solve a problem, where
the underlying cause is ignored. The quick fix, however, causes unanticipated
side effects that over time weaken your ability to address the underlying cause
of the problems.
Example Cities think that building more road infrastructure (new roads, ring roads,
traffic lights, widening lanes) will solve the problem of road congestion, when
managing growth and sprawl in their region is the root of the problem.
Mental
Models
If roads are crowded, we must need better ones. Let’s bypass all the city
congestion by going around it. Growth is always good. Don’t tell me what to
do with my land – I want to be able to build suburban homes far from
services, jobs, and schools.
Leverage
Points
Identifying the underlying cause of problems and being willing to take
courageous action to address problems that are getting worse. Trying to avoid
band-aid solutions that only address the symptoms, rather than the cause.
System
Diagrams
The Shifting the Burden archetype is the archetype of addiction, so it is very common. The
quick fix, symptomatic solution for the perceived problem actually undermines the real, long-
term solution, which makes the problem worse and increases the desire for the quick fix. There
are several more examples on the next page.
Road
congestion
Build
roads
growth
control
Development
potential
+
/+/
0
0
+
0
B
B
R
19. wwwwww..gglloobbaall--llaasseerr..oorrgg 19
More Shifting the Burden Examples
+
0
Drug
use
Youth
alienation
Addiction
Spiritual
development
R
B
B
0
/+/
+
0
R
B
B
Alcohol and
drug use
Addiction
Adult
stress
Stress
management
+
0
/+/0
+ 0
Neighborhood
violence
Dysfunctional
families
Sense of
community
Gang
membership
+
0
/+/0
+ B
B
R
0
Adventure
and exploration
+
0
/+/
B
B
R
Criminal
Mischief
Incarceration/
lost education
Youth
boredom
+
0
0
20. wwwwww..gglloobbaall--llaasseerr..oorrgg 20
Drifting Goals
General
Description
The gap between the established goals and actual performance is causing a lot of
pressure to adjust the goal downward. Continued poor performance make it
impossible to resist the pressure, and strategies begin to be introduced that move
you away from the desired target.
Example Housing construction in South Africa has not kept pace with demand, and so the
government does not enforce the ban on new informal settlements, and has to
provide services to existing informal settlements, even though their stated goal
is to eliminate these substandard settlements and make sure that everyone has
decent housing by 2010.
Mental
Models
We set the standard too high. We’ll always have this problem, there’s no way
we can really solve it. We’ll keep trying, but it doesn’t work to raise
expectations only to have disappointment.
Leverage
Points
Continuous monitoring and evaluation makes you aware of the reasons that
performance is not up to expectations, so it’s easier to make adjustments before
the pressure builds to move away from the goals. Taking consistent action to
achieve the goals make it possible to move forward, even when it is a very
difficult task.
System
Diagrams
Desired # of people
living in informal
housing
Pressure to
change goal
Gap
Build RDP
housing
Number of people
living in informal
housing
Demand for municipal
services in existing
settlements
0
+
Enforcement of
informal
housing
restrictions
+
+
0
+
0
0
21. wwwwww..gglloobbaall--llaasseerr..oorrgg 21
Accidental Adversaries
General
Description
People working in partnership experience increasing levels of conflict as they
start to compete with each other. Even if competition was never intended,
when the system is structured so that one partner’s success can reduce the
success of the other partner, increased conflict will occur.
Example Regional planning in the Calgary area was eliminated several years ago when
the increased conflict between the City of Calgary and neighboring
communities undermined the regional planning authority. This same risk is
present in the current Calgary Regional Partnership structure, if CRP is ever
perceived as taking positions that undermine their member municipalities
positions. This might be especially true if the municipality that perceives CRP
as undermining it is the City of Calgary itself.
Mental
Models
It’s a zero sum game – their success means failure for us. We can’t cooperate
in a competitive environment – it weakens our position.
Leverage
Points
All parties in the partnership have a high degree of trust that each other’s
motivations and actions come from the best intentions. There is clarity about
the mutual benefits of the partnership, and what the responsibilities of each
party are. There is open communication among the partners, and tolerance for
mistakes. The parties pay attention to the unintentional side effects of their
actions, especially where the partnership or the other party is concerned.
System
Diagrams
CRP support of
Municipalities
Municipalities
support of CRP
+ +
+
+
R
R
0
0
R
B
B
+
+
Success of
CalgaryRegional
Partnership
CRP's efforts
to improve CRP
Municipal efforts
to improve
themselves
Success of
individual
Municipalities
+
+