
Map a system as a set of interrelated elements to reveal its underlying structure and relationships, then build a shared visual representation through group sense-making.
Learn when to build a systems map to co-create a shared understanding of a complex system, identify leverage points, and guide collective action while mitigating unintended consequences.
Construct your first systems map by defining a boundary, selecting key elements such as farmers, retailers, regulators, climate, and consumers, and charting relationships to reveal the system’s structure.
Explore software to design, develop, and build systems maps and systems dynamics models, from simple tools like mirror to more advanced options, with CSV or Excel data importing.
Learn how causal loop diagrams differ from general maps by modeling how changes in product quality affect customer satisfaction and demand through causal relationships and variables.
Build foundational skills in causal diagrams by distinguishing variables from map elements, interpreting directional arrows, and using simple examples like rain and snails to illustrate causal relationships and feedback loops.
Identify two types of causal relations—positive and negative—that show whether variables move in the same or opposite directions, forming the building blocks for causal loop diagrams.
Build a causal loop diagram by linking a key variable, such as student achievement, with factors like native ability, family stress, and school resources, noting positive and negative relations.
Explore real world causal maps, from Mumbai waste management to student smoking, showing how variables like waste, land, air pollution, health, and income interrelate to form complex systems.
Build systems maps bit by bit, starting with the central element, then add causal links and pluses and minuses while checking dynamics. Tell a coherent story that makes sense.
Explore feedback loops in the systems map, showing positive, self-reinforcing amplification and negative, balancing effects that stabilize ecosystems, society, and human relations through examples like predator-prey and crime and punishment.
Explore how negative feedback loops balance systems, showing how product quality, customer satisfaction, and demand interact across multiple pathways to return to equilibrium.
Explore how positive feedback loops amplify trends, from population growth and bacteria to a virtuous cycle in tourism infrastructure, revenue, and prices.
Explore behavior over time in systems mapping by examining positive and negative feedback loops, virtuous and vicious cycles, and how exponential growth or oscillations lead to equilibrium or crash.
Explore how system archetypes reveal positive feedback loops that drive observable outcomes, from arms races to poverty traps, through causal maps, systems thinking, and dynamic interrelationships.
Explore the shifting burden archetype in systems mapping, contrasting quick fixes with fundamental responses. See how time delays and side effects emerge in obesity, finance, waste, and relationships.
Illustrate how allocating resources to the successful creates a positive feedback loop that makes the rich get richer, while the unsuccessful lose ground and resources.
Systems mapping is a type of modeling that is designed to reveal the underlying interrelationships and structure of a complex system. System maps are powerful visualization tools that can help change agents describe and diagnose the current state of a given system; understand how system structure creates the observable outcomes; create a shared vision of the system; gain consensus about the problems and identify opportunities.
This video course will walk you through the tools needed to start to build your own systems maps. Four main sections include:
Maps
A high-level overview of what systems maps are, their value and relevance of mapping. We start to construct the basic of a map along with looking at some examples.
Causal Maps
We start by laying down the basic language of causal links, before going on to look at some examples of causal maps, a map of the dynamics to deforestation in the Amazon, landfill waste in Mumbai, the Covid pandemic, among others.
Feedback loops
In the third section we will be learning about feedback loops, positive and negative feedback loops and how to build a causal loop diagram with feedback loops.
Systems Archetypes
System archetypes represent commonly seen system dynamics patterns, in this model we will learn some basics types and how they are represented as causal maps.