Week 5 - Module 4 (Lecture 17)

System Thinking

Understanding the system

Integrating knowledge from different disciplines

Understanding the interactions among the structure and how it influences behaviour

Understand the relationship between system structure and behaviour then find points you can intervene whilst minimising unintended consequences

Examples

Transmission dynamics for Human Leptospirosis

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Levels of System Thinking

Events - Symptoms

Patterns - Behaviour over time

Systemic Structures -what the systems look like

Mental Models - Understanding of how system works

System Structure - Feedback

Dynamics controlled by interactions between components

Dynamics arise from the interaction of just 2 feedback loops - positive (reinforcing) and negative (or balancing)

Dynamics arise from the interaction of multiple loops

Casual Loop Diagrams

Cause increases whilst effect increases = Plus

Cause increases and effect decreases = Minus

Cause decreases and effect decreases = Plus

Cause decreases and effect increases = Minus

Loops

Reinforcing

Have zero or an even number of minus polarities

Balancing

Have an odd number of minus polarities

Common modes of behaviour in dynamic systems

Exponential Growth

Goal seeking

Oscillation

Arises from reinforcing loops

reinforcing loops can also generate exponential decline

Caused by balancing loops

Balancing loops counteract change

Balancing loops, reduces discrepancies and desires the goal

Also caused by balancing loops, but delay means the state of the system overshoots and undershoots the goal

Time delay cause the corrective actions to continue after the goal is reached, adjusts too much

S - shaped growth

There is a reinforcing and balancing loop that controls system behaviour

Balancing loops slows growth

Can be with delays in the balancing loop = overshoot and undershoots the goal

Overshoot and collapse - erosion of carrying capacity creates a second balancing loop that limits growth

Inferring Structure from behaviour

Link between structure and behaviour is important because it allows you to infer the structure of a system from its behaviour

EXAMPLE = system exhibits exponential growth then there must be a dominant reinforcing loop

Key Lessons

When managing any system, understand the relationship between the structure of your system and its behaviour

Be multidisciplinary

Use your understanding to carefully target your interventions

Multiple interventions may be needed