New paper from Morgane's group: Extracting individual characteristics from population data reveals a negative social effect during honeybee defence

15. September 2022

The interdisciplinary team improved the understanding of how honeybees coordinate their actions during defence by measuring the output behaviour of groups of bees and developing a model that reveals the existence of a negative social effect as group size increases. They also provided new tools to extract individual characteristics from population data, which is a challenging issue in the study of collective behaviour.

Petrov et al. (2022) Extracting individual characteristics from population data reveals a negative social effect during honeybee defence. PLoS Computational Biology, 18(9), e1010305.
https://doi.org/10.1371/journal.pcbi.1010305