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The Mathematics of Complexity Science and Systems Biology

复杂性科学和系统生物学的数学

基本信息

批准号：
EP/G021163/1
负责人：
Robert MacKay
金额：
$ 31.08万
依托单位：
University of Warwick
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2009
资助国家：
英国
起止时间：
2009 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FG021163%2F1
关键词：
Mathematics Complexity Science Systems Biology

项目摘要

Complexity Science is the study of systems with many interdependent components. Its remit spans a wide range of areas, from physical and technological to biological and social systems. One large and important such area is Systems Biology, the study of living organisms from the point of view of systems rather than individual components. We believe that these subjects depend heavily on Mathematics for their healthy development, and that conversely, they provide rich sources of stimulation for new Mathematics.We will run an intensive year of research workshop and visitor activity as the Warwick Mathematics Research Centre Symposium topic for the academic year 2009/10, to summarise the state of play, expose the main challenges and develop key ideas in a range of topics in these areas. The main workshop subjects will be Networks: dynamics and flows, Information extraction from complex data sets, From molecules to bodies: spanning levels of biological organization in medicine, Space-time Gibbs phases for spatially extended systems, Non-equilibrium dynamics of spatially-extended interacting particle systems, Ecology, epidemiology and evolution: biological processes and artificial analogues, Game theory for finance, social and biological sciences, Dendrites, neurones and networks: space and stochasticity in the brain, Clocks, switches and signals, and Spatio-temporal dynamics challenges from fluorescence data. The Symposium year will be followed by focussed workshops in a subsequent year to capitalise on promising themes that emerge.

复杂性科学是对具有许多相互依赖的组成部分的系统的研究。它的职权范围广泛，从物理和技术到生物和社会系统。一个大而重要的领域是系统生物学，从系统而不是单个组成部分的角度来研究生物体。我们认为，这些学科的健康发展在很大程度上依赖于数学，反过来，它们也为新的数学提供了丰富的刺激来源。作为华威数学研究中心2009/10学年研讨会的主题，我们将开展一年密集的研究研讨会和访客活动，以总结游戏状态，揭示主要挑战，并在这些领域的一系列主题中发展关键思想。研讨会主题包括：网络：动态与流动、复杂数据集的信息提取、从分子到身体：医学生物组织的跨越层次、空间扩展系统的时空吉布斯相、空间扩展相互作用粒子系统的非平衡动力学、生态学、流行病学和进化。生物过程和人工模拟物，金融博弈论，社会和生物科学，树突，神经元和网络：大脑中的空间和随机性，时钟，开关和信号，荧光数据的时空动态挑战。研讨会一年之后，将在随后的一年举办重点讲习班，以利用出现的有希望的主题。