The availability of large datasets has boosted the application of machine learning in many
fields and is now starting to shape active-matter research as well. Machine learning …

The behavior of individuals determines the strength and outcome of ecological interactions,
which drive population, community, and ecosystem organization. Bio-logging, such as …

Quantitative behavioral measurements are important for answering questions across
scientific disciplines—from neuroscience to ecology. State-of-the-art deep-learning methods …

Automated visual tracking of animals is rapidly becoming an indispensable tool for the study
of behavior. It offers a quantitative methodology by which organisms' sensing and decision …

Animal social networks are descriptions of social structure which, aside from their intrinsic
interest for understanding sociality, can have significant bearing across many fields of …

Animals in groups touch each other, move in paths that cross, and interact in complex ways.
Current video tracking methods sometimes switch identities of unmarked individuals during …

Social organisation in animals takes many forms. It includes assemblages of territorial
animals, dominance hierarchies and social groups, among other things. The basic tenet that …

Classical models of aerial swarms often describe global coordinated motion as the
combination of local interactions that happen at the individual level. Mathematically, these …

Coordination among social animals requires rapid and efficient transfer of information
among individuals, which may depend crucially on the underlying structure of the …

Flocking behaviour is often presented as an example of a self-organized process, where
individuals continuously negotiate on the direction of travel and compromise by moving …