Collective motion is a fascinating phenomenon naturally observed at all scales from bacteria to birds. When urge to evacuate through a bottleneck, human crowds behave like a granular material leading to clogging and intermittent flow, and in worst cases in casualties. This phenomenon has been observed for humans, sheep or vibrated grains with the claim that this non-optimal evacuation would be universal for active matter passing through a bottleneck. We have recently shown that small fish avoid clogging and can be modeled by deformable frictionless bubbles rather than hard grains. In this project, we aim at exploring the collective behavior of honeybees in the evacuation setting. Open questions are: do bees perform better than humans? If so, what can we learn from bees and adapt to human crowds? Is the bee model relevant to test different strategies in order to optimize human crowd evacuation in stressful situations? Preliminary experiments have been done in which a group of walking bees has been imaged while passing through a bottleneck. This dataset must now be analyzed and numerical tools need to be implemented to track the bees and their orientation, measure the timing of the egress, the movements and density of bees in the waiting room, … The intern will first develop numerical tools and use them to analyze the preliminary dataset. If interested, the intern will be able to perform new live-bee experiments.