Understanding animal movement is essential to elucidate how animals interact, survive, and
thrive in a changing world. Recent technological advances in data collection and …

Collective behavior provides a framework for understanding how the actions and properties
of groups emerge from the way individuals generate and share information. In humans …

Quantifying movement and demographic events of free‐ranging animals is fundamental to
studying their ecology, evolution and conservation. Technological advances have led to an …

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

A critical aspect of evolution is the layer of developmental physiology that operates between
the genotype and the anatomical phenotype. While much work has addressed the evolution …

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 …

Methods for collecting animal behaviour data in natural environments, such as direct
observation and biologging, are typically limited in spatiotemporal resolution, the number of …

Null models are an important component of the social network analysis toolbox. However,
their use in hypothesis testing is still not widespread. Furthermore, several different …

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 …

Choosing among spatially distributed options is a central challenge for animals, from
deciding among alternative potential food sources or refuges to choosing with whom to …