Saving Human Lives : What Complexity Science and Information Systems can Contribute
| Autor: | Sebastian Schutte, Jens Krause, Dirk Brockmann, Anders Johansson, Dirk Helbing, Ulf Blanke, Mehdi Moussaïd, Thomas Chadefaux, Olivia Woolley-Meza, Karsten Donnay, Matjaz Perc |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
FOS: Computer and information sciences
Physics - Physics and Society Computer science FOS: Physical sciences Physics and Society (physics.soc-ph) Article Disease spreading Information system Deterrence theory Mathematical Physics Social and Information Networks (cs.SI) Crowd disasters Crime Terrorism War Complexity science Computer Science - Social and Information Networks Statistical and Nonlinear Physics 16. Peace & justice Nonlinear Sciences - Adaptation and Self-Organizing Systems Risk analysis (engineering) Social system ddc:320 Systems design Adaptation and Self-Organizing Systems (nlin.AO) |
| Zdroj: | Journal of Statistical Physics Journal of Statistical Physics, 158 (3) |
| Popis: | We discuss models and data of crowd disasters, crime, terrorism, war and disease spreading to show that conventional recipes, such as deterrence strategies, are often not effective and sufficient to contain them. Many common approaches do not provide a good picture of the actual system behavior, because they neglect feedback loops, instabilities and cascade effects. The complex and often counter-intuitive behavior of social systems and their macro-level collective dynamics can be better understood by means of complexity science. We highlight that a suitable system design and management can help to stop undesirable cascade effects and to enable favorable kinds of self-organization in the system. In such a way, complexity science can help to save human lives. 67 pages, 25 figures; accepted for publication in Journal of Statistical Physics [for related work see http://www.futurict.eu/] |
| Databáze: | OpenAIRE |
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