Dynamical systems theory provides a unifying mathematical framework for understanding how complex phenomena evolve over time. By employing differential and difference equations, researchers can ...

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 ...

Simple models of contagions tend to assume random mixing of elements (e.g. people), but real interactions are not random pairwise encounters: they occur within clearly defined higher-order structures ...

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 ...

Scientists from Huazhong University of Science and Technology have used finite-time stability theory to achieve swift and accurate topology identification in networks that exhibit time delays and ...

The University of Washington will lead a new artificial intelligence research institute that will focus on fundamental AI and machine learning theory, algorithms and applications for real-time ...