Chaos, or exponential sensitivity to small perturbations, appears everywhere in nature.
Moreover, chaos is predicted to play diverse functional roles in living systems. A method for
detecting chaos from empirical measurements should therefore be a key component of the
biologist's toolkit. But, classic chaos-detection tools are highly sensitive to measurement
noise and break down for common edge cases, making it difficult to detect chaos in
domains, like biology, where measurements are noisy. However, newer tools promise to …