Corbetta, A. (Alessandro)
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- A glossary for research on human crowd dynamics(2019) Ronchi, E. (Enrico); Köster, G. (Gerta); Toschi, F. (Federico); Neville, F. (Fergus); Fu, Z. (Zhijian); Wijermans, N. (Nanda); Michalareas, G. (Georgios); Schadschneider, A. (Andreas); Kneidl, A. (Angelika); Adrian, J. (Juliane); Zuriguel-Ballaz, I. (Iker); Beermann, M. (Mira); Corbetta, A. (Alessandro); Spearpoint, M. (Michael); Zanlungo, F. (Francesco); Amos, M. (Martyn); Drury, J. (John); Küpper, M. (Mira); Hunt, A. (Aoife); Seyfried, A. (Armind); Boltes, M. (Maik); Sieben, A. (Anna); Dezecache, G. (Guillaume); Sullivan, G.B. (Gavin Brent); Wal, N. (Natalie) van der; Bode, N. (Nikolai); Reicher, S. (Stephen); Kanters, T. (Tinus); Schadewijk, F. (Frank) van; Krüchten, C. (Cornelia) von; Shipman, A. (Alastair); Templeton, A. (Anne); Hofinger, G. (Gesine); Baratchi, M. (Mitra); Geraerts, R. (Roland); Yücel, Z. (Zeynep); Ntontis, E. (Evangelos); Gwynne, S. (Steve); Konya, K. (Krisztina)This article presents a glossary of terms that are frequently used in research on human crowds. This topic is inherently multidisciplinary as it includes work in and across computer science, engineering, mathematics, physics, psychology and social science, for example. We do not view the glossary presented here as a collection of finalised and formal definitions. Instead, we suggest it is a snapshot of current views and the starting point of an ongoing process that we hope will be useful in providing some guidance on the use of terminology to develop a mutual understanding across disciplines. The glossary was developed collaboratively during a multidisciplinary meeting. We deliberately allow several definitions of terms, to reflect the confluence of disciplines in the field. This also reflects the fact not all contributors necessarily agree with all definitions in this glossary.
- Steering self-organisation through confinement(2023) Dussutour, A. (Audrey); Yeomans, J.M. (Julia M.); Saric, A. (Andela); Dijkstra, M. (Marjolein); Volpe, G. (Giorgio); Royall, C.P. (C. Patrick); Boffetta, G. (Guido); Zuriguel-Ballaz, I. (Iker); Metzler, R. (Ralf); Sykes, C. (Cecile); Golestanian, R. (Ramin); Lowen, H. (Hartmut); Isa, L. (Lucio); Gelderblom, H. (Hanneke); Corbetta, A. (Alessandro); Durham, W.M. (William M.); Araujo, N.A.M. (Nuno A. M.); Garnier, S. (Simon); Sengupta, A. (Anupam); Dauchot, O. (Olivier); Polin, M. (Marco); Janssen, L.M.C. (Liesbeth M. C.); Marin, A. (Alvaro); Tuval, I. (Idan); Barois, T. (Thomas); Vogel, N. (Nicolas); Cohen, I. (Itai); Koenderink, G.H. (Gijsje H.); Trianni, V. (Vito)Self-organisation is the spontaneous emergence of spatio-temporal structures and patterns from the interaction of smaller individual units. Examples are found across many scales in very different systems and scientific disciplines, from physics, materials science and robotics to biology, geophysics and astronomy. Recent research has highlighted how self-organisation can be both mediated and controlled by confinement. Confinement is an action over a system that limits its units' translational and rotational degrees of freedom, thus also influencing the system's phase space probability density; it can function as either a catalyst or inhibitor of self-organisation. Confinement can then become a means to actively steer the emergence or suppression of collective phenomena in space and time. Here, to provide a common framework and perspective for future research, we examine the role of confinement in the self-organisation of soft-matter systems and identify overarching scientific challenges that need to be addressed to harness its full scientific and technological potential in soft matter and related fields. By drawing analogies with other disciplines, this framework will accelerate a common deeper understanding of self-organisation and trigger the development of innovative strategies to steer it using confinement, with impact on, e.g., the design of smarter materials, tissue engineering for biomedicine and in guiding active matter.
- A Glossary for Research on Human Crowd Dynamics(Forschungszentrum Julich, Zentralbibliothek, 2019) Ronchi, E. (Enrico); Köster, G. (Gerta); Toschi, F. (Federico); Neville, F. (Fergus); Fu, Z. (Zhijian); Wijermans, N. (Nanda); Michalareas, G. (Georgios); Schadschneider, A. (Andreas); Kneidl, A. (Angelika); Adrian, J. (Juliane); Zuriguel-Ballaz, I. (Iker); Beermann, M. (Mira); Corbetta, A. (Alessandro); Spearpoint, M. (Michael); Zanlungo, F. (Francesco); Amos, M. (Martyn); Drury, J. (John); Küpper, M. (Mira); Hunt, A. (Aoife); Seyfried, A. (Armind); Boltes, M. (Maik); Sieben, A. (Anna); Dezecache, G. (Guillaume); Sullivan, G.B. (Gavin Brent); Wal, N. (Natalie) van der; Bode, N. (Nikolai); Reicher, S. (Stephen); Kanters, T. (Tinus); Schadewijk, F. (Frank) van; Krüchten, C. (Cornelia) von; Shipman, A. (Alastair); Templeton, A. (Anne); Hofinger, G. (Gesine); Baratchi, M. (Mitra); Geraerts, R. (Roland); Yücel, Z. (Zeynep); Ntontis, E. (Evangelos); Gwynne, S. (Steve); Konya, K. (Krisztina)This article presents a glossary of terms that are frequently used in research on human crowds. This topic is inherently multidisciplinary as it includes work in and across computer science, engineering, mathematics, physics, psychology and social science, for example. We do not view the glossary presented here as a collection of finalised and formal definitions. Instead, we suggest it is a snapshot of current views and the starting point of an ongoing process that we hope will be useful in providing some guidance on the use of terminology to develop a mutual understanding across disciplines. The glossary was developed collaboratively during a multidisciplinary meeting. We deliberately allow several definitions of terms, to reflect the confluence of disciplines in the field. This also reflects the fact not all contributors necessarily agree with all definitions in this glossary.