Collective dynamics in physics, biology and social sciences
- Vladimir Lobaskin (University College Dublin, Ireland)
- Thomas Ihle (Greifswald University, Germany)
It should be noted that significant progress in computational social sciences has been achieved in the past 15 years after introduction of agent-based models and networks from physics and applied mathematics. The later development of the research in biology and physics and, in particular, the appearance of active matter in the more recent years lead to unfortunate situation when these fields continue to grow and mature in parallel without much interaction. It is therefore timely to reset the common grounds and share the ideas developed in different communities.
The discussion topics for the meeting are:
- methodological issues related to modelling open systems: fixed vs. variable environment, conservation laws, local equilibria, energy, material and information exchange with the environment;
- phase behavior of active systems: type of dynamic phase transition, definition and detection of phases, finite size effects;
- the general principles governing the existence and nature of the steady states, extreme events or instabilities;
- ordering and disordering effects on the active groups: external fields, type of noise, symmetry and selectivity of interactions;
- computational aspects: simulation efficiency, parallel algorithms.
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