Biocomplexity---Incubation Activity: Multiscale Representations

摘要：近年来，从物理到气象学，从化学到生物学，甚至从心理学到经济学和政治学的系统和领域都被认为具有共同的特征，这些特征将它们识别为复杂系统。复杂系统在多个时间和空间尺度上具有结构和行为。然而，复杂系统方法缺乏一种形式化的多尺度方法。这个将复杂系统的多尺度描述形式化的项目是发展统一方法的一个阶段，这将有助于解决重要问题。在这个孵化活动中，研究人员将开展合作和核心研究，以实现飓风预测问题的形式主义，稳健的计算机网络的迹象，以及生物学中高通量数据生成的分析。这个孵化活动将为包括布兰代斯大学、波士顿大学、哈佛大学、麻省理工学院、塔夫茨大学、马萨诸塞大学、耶鲁大学和其他学术机构的选定教员在内的社区追求这一普遍有用的方法奠定基础。跨学科监督将通过开发多尺度方法的核心计划来整合。

Bar-Yam, YaneerDMS-0083885Abstract:Recently, systems and fields ranging from physics to Meteorology, from chemistry to biology, and even from psychology to economics and political science have been recognized as having common features which identify them as complex systems. Complex systems have structure and behavior on multiple scales of time and space. However, complex systems methods are lacking a formal multiscale methodology,. This project of formalizing multiscale descriptions of complex systems is a stage in the development of a unifying approach, which will be useful to solve important problems. In this incubation activity the researchers will develop collaborations and core research that will enable implementing this formalism for problems of hurricane prediction, the sign of robust computer networks, and the analysis of high throughput data generation in biology.This incubation activity will lay the groundwork for this generally useful methodology to be pursued by a community that includes selected members of the faculty of Brandeis University, Boston University, Harvard University, MIT, Tufts University, University of Massachusetts, Yale University, and other academic institutions. Interdisciplinary supervision will be integrated through a core program developing the multiscale methodologies.