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We research the mechanisms and evolution of collective movement, integrating empirical data, theory, modelling, and technology through three complementary components:

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  • SWARMatlas – a comparative data platform for collective motion datasets. Curated by PhD student Chris Yates.

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  • swarRmverse – open-source software and computational tools for analysing, modelling, and simulating collective behaviour. Developed by Marina Papadopoulou and Simon Garnier.

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  • SWARM-E – an international research network funded by a ZiF Long-term Group (2027-30) advancing collective behaviour, robotics, and complex systems through collaboration and exchange. Lead by Andrew King, Marina Papadopoulou and Giovanni Reina.​​​

Together, these initiatives provide an integrated framework that connects discovery science, open data, computational methods, and an international research community to accelerate advances in collective behaviour research. Members of the SWARM-E network are below - get in touch if you want to join in!  

SWARM-E leads/convenors

SWARM-E core group members

SWARM-E 2027 fellows

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