Complex evolutionary dynamics embodies the study of systems in which a multitude of interacting components undergo non‐linear and non‐equilibrium changes over time. This research area spans ...

Uncovering the relationship between structure (connectivity) and function (neuronal activity) is a fundamental question across many areas of biology. However, investigating this directly in animal ...

The study of epidemic dynamics in complex networks has evolved into a critical field of research that bridges mathematics, physics, epidemiology and data science. Scholars have increasingly focused on ...

This chaotic-looking "double pendulum" follows a large number of rules that govern its motion. Researchers have trained AI to take data from its movements to uncover simple equations that successfully ...

The beliefs we hold develop from a complex dance between our internal and external lives. A recent study uses well-known formalisms in statistical physics to model multiple aspects of belief-network ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern some of the most complex dynamics found in nature and technology. The AI ...

Juniper Lovato, Director of Outreach for Complex Systems, University of VermontLimits of individual consent and models of distributed consent in online social networksPersonal data is not discrete in ...