Individual decision-making and collective animal behavior
Release Date: 04/21/2025
PNAS Science Sessions
Individual decision-making and collective animal behavior Science Sessions are brief conversations with cutting-edge researchers, National Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in the Proceedings of the National Academy of Sciences (PNAS), plus a broad range of scientific news about discoveries that affect the world around us. In this episode, researchers explore advances in the modeling of collective animal behaviors. In this episode, we cover: •[00:00] Introduction •[00:48]...
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info_outlineIndividual decision-making and collective animal behavior
Science Sessions are brief conversations with cutting-edge researchers, National Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in the Proceedings of the National Academy of Sciences (PNAS), plus a broad range of scientific news about discoveries that affect the world around us.
In this episode, researchers explore advances in the modeling of collective animal behaviors.
In this episode, we cover:
•[00:00] Introduction
•[00:48] Conor Heins incorporated cognitive processes into a model of collective behavior.
•[02:13] Eva Kanso analyzed how confinement influences collective behavior.
•[03:41] Andreu Puy considered the role of speed in the leader-follower dynamics of schooling fish.
•[04:45] Daniel Kronauer explored how a colony of clonal raider ants collectively responds to rising temperatures.
•[06:02] Sonja Friman quantified the energy savings of starlings flying in complex formations.
•[07:27] Daniele Carlesso modeled how weaver ants decide to form chains to explore their environment.
•[08:43] Ashkaan Fahimipour explored how reef fish minimize the spread of misinformation.
•[10:11] Clare Doherty explored the individualism of terrestrial hermit crabs moving in groups.
•[11:44] Final thoughts and conclusion.
About Our Guests:
Conor Heins
Machine Learning Researcher
Verses AI / Max Planck Institute of Animal Behavior
Eva Kanso
Zohrab A. Kaprielian Fellow in Aerospace and Mechanical Engineering
University of Southern California
Andreu Puy
PhD Student
Polytechnic University of Catalonia
Daniel Kronauer
Stanley S. and Sydney R. Shuman Professor
Rockefeller University
Sonja Friman
Postdoctoral Fellow
Lund University
Daniele Carlesso
Postdoctoral Researcher
University of Konstanz
Ashkaan Fahimipour
Assistant Professor
Florida Atlantic University
Clare Doherty
Research Associate
Ulster University
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