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Workshop: Frontiers of Multidisciplinary Research: Mathematics, Engineering and Biology

研讨会：多学科研究前沿：数学、工程和生物学

基本信息

批准号：
EP/I007563/1
负责人：
Orkun Soyer
金额：
$ 3.03万
依托单位：
UNIVERSITY OF EXETER
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2010
资助国家：
英国
起止时间：
2010 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FI007563%2F1
关键词：
Workshop Frontiers Multidisciplinary Research Mathematics

项目摘要

Modern scientific inquiry is increasingly blurring traditional discipline boundaries. This is particularly the case in biology. Two important fields emerging from this trend are systems and synthetic biology. The former aims to achieve a system-level understanding of the molecular basis of physiological processes by utilising an iterative research cycle of theory and experiment, whilst the latter aims to utilise such an understanding to engineer biological systems. Together these fields are making significant scientific, social and economic impacts, ranging from increased knowledge in basic science to novel applications in health and biotechnology.Both systems and synthetic biology have emerged from the increased involvement of mathematicians, physicists and engineers in the addressing of biological questions. Today, both mathematical modelling and computational simulations are heavily used in analysing and predicting the dynamics of biological systems. These studies allow a better understanding of biological data, the generation of new hypotheses and experimental designs, and the development of biological engineering applications. More importantly, these mathematical and computational approaches allow the development of ideas and concepts to explain biological phenomena at a universal level rather than at the level of specific organisms. In other words, they form an important component of research that seeks an understanding of biological rules and principles .On the other side, the engagement of mathematics and engineering in studying biological questions drives the advancement of wide-ranging areas of mathematics, engineering and computer science. Examples of latter advancements include the design and development of robust networks based on studies of biological networks and the development of new computer languages and modelling algorithms inspired by or used for biological system analysis. In the field of mathematics, the challenge of addressing biological problems has led to several developments and applications in the areas of coupled stochastic equations, bifurcation analysis and delayed differential equations.In summary, the analysis of biological systems using a combination of experimental observations, mathematical modelling and numerical simulation presents itself as a cutting-edge research field. For this field to sustain and develop its impact in both theoretical and experimental fields, as explained above, the facilitation of interaction among experimental biologists, mathematicians, physicists and engineers is vital. Current disciplinary boundaries do not facilitate interaction among scientists; scientists from different fields usually occupy different buildings at university campuses, publish in journals specific to their field and attend different scientific meetings. Existing scientific meetings usually fall into two categories; small meetings specialising on a specific scientific question, and large meetings covering a wide field. The former target a specific (and small) group of scientists who are already aware of each others work (and potentially collaborating), while the latter target a diverse group of scientists but usually do not allow specific interactions to develop due to their large size and a crowded presentation programme. What is more desirable is to maintain the diversity of larger meetings while not sacrificing the interaction-friendly structure of small meetings. In particular, an un-crowded presentation program, well-embedded discussion sessions and a carefully selected set of speakers from diverse but connected fields can act as a facilitator of discussion and interaction among scientists from theoretical and experimental domains.

现代科学研究正日益模糊传统学科的界限。在生物学中尤其如此。从这一趋势中出现的两个重要领域是系统和合成生物学。前者旨在通过利用理论和实验的迭代研究周期来实现对生理过程分子基础的系统级理解，而后者旨在利用这种理解来设计生物系统。从基础科学知识的增长到卫生和生物技术的新应用，这些领域共同产生了重大的科学、社会和经济影响，系统和合成生物学都是由于数学家、物理学家和工程师越来越多地参与解决生物学问题而产生的。今天，数学建模和计算模拟都被大量用于分析和预测生物系统的动力学。这些研究可以更好地理解生物学数据，产生新的假设和实验设计，以及开发生物工程应用。更重要的是，这些数学和计算方法允许思想和概念的发展，以在普遍的水平上解释生物现象，而不是在特定的有机体水平上。换句话说，它们构成了寻求理解生物学规则和原理的研究的重要组成部分。另一方面，数学和工程学在研究生物学问题中的参与推动了数学、工程学和计算机科学等广泛领域的进步。后者的例子包括基于生物网络研究的鲁棒网络的设计和开发，以及受生物系统分析启发或用于生物系统分析的新计算机语言和建模算法的开发。在数学领域，解决生物问题的挑战导致了耦合随机方程、分支分析和延迟微分方程等领域的发展和应用。总之，结合实验观察、数学建模和数值模拟对生物系统进行分析是一个前沿研究领域。为了使这一领域在理论和实验领域保持和发展其影响力，如上所述，促进实验生物学家、数学家、物理学家和工程师之间的互动至关重要。目前的学科界限不利于科学家之间的互动;来自不同领域的科学家通常在大学校园中占据不同的建筑物，在特定领域的期刊上发表文章，并参加不同的科学会议。现有的科学会议通常分为两类：专门讨论特定科学问题的小型会议和涵盖广泛领域的大型会议。前者针对的是已经了解彼此工作（并可能进行合作）的特定（和小）科学家群体，而后者针对的是不同的科学家群体，但通常不允许开展具体的互动，因为他们的规模很大，演讲方案也很拥挤。更可取的做法是保持大型会议的多样性，同时不牺牲小型会议有利于互动的结构。特别是，一个不拥挤的演讲节目，嵌入式讨论会和精心挑选的一组发言者从不同的，但连接的领域可以作为一个促进者的讨论和互动的科学家从理论和实验领域。