System Dynamics
From Systems Thinking, to System Dynamics
Systems Thinking helps us describe and understand the causal relationships and interactions between variables within a system. System Dynamics takes this further by quantifying those interactions and their impacts over time.
Systems Thinking is a holistic approach that focuses on understanding the relationships between components within a system, as well as the external influences that impact it. It draws on insights from fields like philosophy, sociology, organizational theory, and feedback loops to explain how different elements interact and shape the overall system.
System Dynamics builds on Systems Thinking by quantifying interactions and creating a time-based view of how a system behaves. This approach involves developing computer models that simulate complex problems and changing behaviors. These models reveal hidden relationships, dynamic complexities, delays, and the unintended consequences of interactions.
The System Dynamics Approach
System Dynamics is a computer-based method used for developing strategies and policies in complex situations. By using differential equations to model and analyze systems, it offers data-driven insights that can be communicated clearly, helping everyone involved grasp how ‘the system’ works. This approach relies on simulation modeling rooted in feedback systems theory, working hand-in-hand with Systems Thinking. It’s particularly useful for addressing dynamic issues in complex social, managerial, economic, and ecological contexts, as well as in physiological systems.
Feedback Thinking
Recognizing interrelations in a system
Stocks and Flows
Building blocks for change and delays over time
Story Structure
The path from cause-and-effect to behaviour
Modeling & Simulation
Uses computation to show outcomes
Policy Design
Decision-making based on data-driven holistic analysis
System Archetypes Concept Cards
Exemplary for system structures are the frequent appearances of archetypes.
Here are 4 stories that illustrate the importance of a systemic view.
Building Re-useable Interfaces
With System Dynamics, LOOP creates interfaces by first building a model with stakeholders, using this systems map as the backbone of the interface. Then, relevant data and differential equations are added to capture the system’s dynamics – resulting in a beautiful and insightful data-driven interface. A well-designed interface allows users to interact with the model, adjust various inputs and see the effects these changes have on the system’s behavior, all without needing to understand the complex equations that control how the system operates. The interface allows both technical and non-technical users to interact directly with the model, providing them with real-time feedback and predictive analytics in a user-friendly environment, which enhances their ability to make informed decisions.