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What is complexity science and why should you care about it?
Simplifying Complexity
Complex Causality in Systems
In complex systems, a singular factor rarely explains outcomes. Embracing complex causality involves recognizing the multitude of factors that interact to create desired effects and relinquishing the pursuit of a single dominant cause. Complexity science emphasizes the importance of considering various factors collectively, rather than relying on one-dimensional interventions. Methods like network theory and complex simulations aim to tackle the complexity by acknowledging the multiplicity of influencing factors, contrary to the simplistic approach of seeking a single solution. By understanding and embracing complexity, new methodologies can be developed to address the intricate nature of systems.
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