What is Complexity Science?
Key themes
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Systems of many inter-linked variables/components
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Emergent behaviour: not just an obvious scale up of individuals
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Robustness (under perturbation, damage)
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Fluctuations and Noise
Common issues
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Understanding system response
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Forecasting behaviour
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Optimising design (cost, performance, robustness ..)
Other angles
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Large datasets, hidden info (secondary analysis)
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The cost-benefit of [high degrees of] choice
Boundaries
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Complicated is not necessarily complex!
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Problems should need inspiration from outside their field, with prospect to return it.