Research Overview
I am a theoretical biologist with an expertise in self-organized social systems. My research focuses mainly on the collective behaviour of animals, such as fish schools, bird flocks and baboon troops, aiming to understand how complex spatiotemporal patterns emerge in nature. To identify their underlying mechanisms, I combine the analysis of empirical data and the development of agent-based models based on self-organization. I am particularly interested on the effects of individual variation in collective behaviour, as well as across species comparisons. As side projects, I also work on the science of science and meta-research.
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Keywords: collective behavior; self-organization; computational models; biohybrid systems, collective escape; collective intelligence; collective decision-making; bird flocks; fish schools; baboon troops; sociality; complexity science.
Themes
Spatiotemporal dynamics of animals on the move
Behavioural individuality
Methods & Applications
My research combines the analysis of empirical data, bio-mimetic robots, and computer simulations, to identify the links between individual 'rules' of motion and social interactions ('involved cognition') and emergent collective patterns of animal groups, during collective motion, decision-making, and escape.
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I am particularly interested on the effect that group composition has on the emergent properties of a group, both in terms of across-individual differences in behaviour, as well as in the underlying social network.
I develop quantitative tools and software for the analysis of collective motion and pattern-oriented agent-based modelling. I am further passionate about the application of our theoretical understanding of the dynamics of collective beahviour to swarm robotics and animal conservation.
For details about my current projects see my Research page.
Publications & Manuscripts
See also my Google Scholar profile.
Biohybrid systems in animal behaviour
Papadopoulou M., Ball M., Bartashevich P., Burns A.L.J., Chiara V., Clark M.A., Costelloe B.R., Fele M., French F., Hauert S., Heinrich M.K., Herbert-Read J.E., Hoitt J., Ioannou C.C., Landgraf T., Matchette S.R., Polverino G., Sankey D., Scott M.D., Sridhar V. H., Strömbom D., Trianni V., Vo-Doan T.T., King A. J. (2024)
Under review
swaRmverse: an R package for the comparative analysis of collective motion
Papadopoulou M., Garnier S., King A. J. (2024)
Methods in Ecology and Evolution. doi: 10.1111/2041-210X.14460
Baboon travel progressions as a ‘social spandrel’ in collective animal behaviour
Fele M., Fürtbauer I., Lurgi M., Papadopoulou M., Bracken A. M., Christensen C., O’Riain M. J., King A. J. (2024)
Under review
DaNCES: a framework for data-inspired agent-based models of collective escape
Papadopoulou M., Hildenbrandt H., Hemelrijk C.K. (2024)
In: Brock, O., Krichmar, J. (eds) From Animals to Animats 17. SAB 2024. Lecture Notes in Computer Science, vol 14993, pp 194–207. Springer, Cham. doi: 10.1007/978-3-031-71533-4_15
Linking energy availability, movement, and sociality in a wild primate (Papio ursinus)
Fürtbauer I., Shergold C., Christensen C., Bracken A.M., Heistermann M., Papadopoulou M., O’Riain J., King A.J. (2024)
Philosophical Transactions of the Royal Society B, 379:20220466. doi: 10.1098/rstb.2022.0466
Diffusion during collective turns in bird flocks under predation
Papadopoulou M., Hildenbrandt H., Hemelrijk C.K. (2023)
Frontiers in Ecology and Evolution, 11: 1198248. doi: 10.3389/fevo.2023.1198248
Dynamics of collective motion across time and species
Papadopoulou M., Fürtbauer I., O’Bryan L., Garnier S., Georgopoulou D., Bracken A., Christensen C., King A.J. (2023)
Philosophical Transactions of the Royal Society B, 378:20220068. doi: 10.1098/rstb.2022.0068
Biologically inspired herding of animal groups by robots.
King A.J., Portugal S.J., Strombom D., Mann R.P., Carrillo J.A., Kalise D., de Croon G., Barnett H., Scerri P., Gross R., Chadwick D.R., Papadopoulou M. (2023)
Methods in Ecology and Evolution. doi: 10.1111/2041-210X.14049
Emergence of splits and collective turns in pigeon flocks under predation.
Papadopoulou M., Hildenbrandt H., Sankey D.W.E., Portugal S.J., Hemelrijk C.K. (2022)
Royal Society Open Science, 9:211898. doi: 10.1098/rsos.211898
Self-organization of collective escape in pigeon flocks.
Papadopoulou M., Hildenbrandt H., Sankey D.W.E., Portugal S.J., Hemelrijk C.K. (2022)
PLoS Computational Biology, 18(1): e1009772. doi: 10.1371/journal.pcbi.1009772
Relationship between conservation biology and ecology shown through machine reading of 32,000 articles.
Hintzen R., Papadopoulou M., Mounce R., Banks-Leite C., Holt R., Mills M., Knight A., Leroi A., Rosindell J. (2020)
Conservation Biology, 34 (3), 721-732. doi: 10.1111/cobi.13435
On Revolutions.
Leroi A., Lambert B., Mauch M., Papadopoulou M., Ananiadou S., Lindberg S., Lindenfors P. (2020)
Palgrave Communications, 6 (1), 1-11. doi: 10.1057/s41599-019-0371-1
Download accepted version here
About
Marina Papadopoulou, PhD
I am a postdoctoral researcher based in Florence (Italy), working in the PRIN project: 'FALCOROBOT: Collective and individual responses of avian flocks to robotic predators', at the University of Tuscia (UNITUS) with Dr Claudio Carere and the University of Pisa with Dr Dimitri Giunchi. From 2022-2024, I have been a member of the group of Dr Andrew King at Swansea University, and the 2023 Outgoing FSBI Visiting Postdoctoral Fellow at Humboldt University of Berlin, in the group of Prof Dr Jens Krause. In Swansea, I was leading the 2G-SWARM project on developing data-inspired models of collective behaviour with applications in swarm robotics. I completed my PhD at the group of Prof Dr Charlotte Hemelrijk on self-organization of social systems, studying the emergence of complex collective patterns in bird flocks under predation using computational models. I have a BSc in Biology from Aristotle University of Thessaloniki and a MSc in Computational Methods in Ecology and Evolution from Imperial College London. My day to day work includes data analysis, algorithm development, and agent-based modelling (more details here). I have experience in teaching animal behavior, self-organization and agent-based modelling, supervising BSc, MSc and PhD students, and organizing conferences.
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I am also the creator of BiasWatchEvol (gender bias in publications of ecology and evolutionary biology, www.biaswatchevol.com), have been a member of the Equality Diversity & Inclusion Committee at Swansea University, an ally of the LGBTQ+ community, a founding member of SEMF (a society for multidisciplinary research), a co-producer of a documentary on sustainable agriculture (Bananageddon) and a fencing athlete and coach.
Event organization
I have chaired the organization of international events for up to 700 participants, supervising organizing teams of up to 25 members.
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I have recently co-organized an ASAB Interdisciplinary workshop on 'Biohybrid systems in animal behavior' at Swansea University (September 2023). For more information see below:
Interested in organizing a conference together?
Get in touch!
Methods
I perform data analysis using mostly R and Python, and agent-based modelling using C++ (and NetLogo for student projects). I have experience in machine learning techniques, algorithm development, natural language processing, high-performance computing, metaprogramming, graphic libraries and R package development.
Teaching & Supervision
I have taught and organized bachelor and master courses on self-organization, animal behaviour and agent-based modelling, working with students of diverse educational backgrounds (e.g., biology, physics, computer science, artificial intelligence, engineering and phsycology). I have supervised many student projects on collective behavior at BSc, MSc and PhD level.​ I have also delivered programming workshops for girls and women through several non-profit organizations such as Django Girls. As part of the postgraduate development program of Swansea University, I provide workshops on Data Visualization for students and staff. I have given science communication talks to kids, teenagers and adults on animal collective behaviour and the use of models to understand complex phenomena.
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I am always happy to (co-) supervise students on various projects, especially on agent-based modeling.