Thursday, October 15, 2026, 14:45 Eastern Time, Lecture Hall 9, Binghamton University, and online. A CCS 2026 satellite with talks and a panel on women in complex systems, co-organized by Womplexity a...

Teaching Engineering, Math, and Science through Pop Culture and Current Events

The ability to switch between tasks is a core component of human intelligence, yet a mechanistic understanding of this capacity has remained elusive. Long-standing debates over how task switching is i...

YouTube video by Santa Fe Institute

Signed networks provide a principled framework for representing systems in which interactions are not merely present or absent but qualitatively distinct: friendly or antagonistic, supportive or confl...

Research group on inverse problems in complex systems and network science.

Your one-stop shop and full archive of figure skating practice notes from 2026 Olympic Winter Games

The population doctrine—the view that populations, not individual neurons, constitute the fundamental unit of computation—has been gaining ground for years.

RNA velocity is an important model that combines cellular spliced and unspliced RNA counts to infer dynamical properties of various regulatory functions. Despite its wide applicability and many varian...

Identifying central entities and interactions is a fundamental problem in network science. While well-studied for graphs (pairwise relations), many biological and social systems exhibit higher-order i...

Recent advances in neuroscience have revealed how neural population activity underlying behavior can be well described by topological objects called neural manifolds. Understanding how nature, nurture...

Most behaviors involve neural dynamics in high-dimensional activity spaces. A common approach is to extract dimensions that capture task-related variability, such as those separating stimuli or choice...

Oby, Degenhart, Grigsby and colleagues used a brain–computer interface to challenge monkeys to override their natural time courses of neural activity. They found the time courses to be highly robust, ...