International Summer School on Biocomplexity, June 24 - July 1, 2001 in Hanover, New Hampshire

生物复杂性国际暑期学校，2001 年 6 月 24 日至 7 月 1 日，新罕布什尔州汉诺威

• 批准号: 0120792
• 负责人: Metin Akay
• 金额: $ 4.27万
• 依托单位: Dartmouth College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-06-01 至 2002-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0120792&HistoricalAwards=false
• 关键词: International; Summer; Biocomplexity; June; 24

The biological sciences have the potential to become substantially more quantitative because emerging computational and mathematical tools could facilitate collection and analysis of vast amounts of biological data. New methods for computational analysis and mathematical modeling of complex biological processes and signals can be used for characterizing variability and uncertainty of biological data across scales of space and time. For example, such signals or measurements are direct indicators of the biological state of the corresponding cells or organs in an organism. There is an increasing demand for interactions among biologists, engineers, mathematicians, computer scientists and medical researchers in the use of these emerging technologies and methods to be able to develop a new interdisciplinary workforce that is able to understand and facilitate reliable quantitative approaches and answers to the major integrative biological challenges.The main objective of this summer school is to expose undergraduate, graduate, and postdoctoral biological science and bioengineering students to the relatively new approaches of nonlinear dynamical analysis and biosignal interpretation in complex biological systems, and to facilitate rapid diffusion of these mathematical and computational tools in the biological sciences. These methods will be helpful, also, to both students and post-doctoral fellows in computer science and mathematics who are interested in pursuing research in biology and bioengineering, since the summer school provides exceptional insights into the fundamental challenges in biological sciences.The summer school uses lectures, oriented toward biological science students, by expert faculty. The faculty will describe their research areas, and focus on ways to use the mathematical and computational tools to understand the underlying mechanisms of complex biological systems and processes. In addition to these lectures, the summer school will employ a two-hour panel discussion, with active participation of undergraduate, graduate and post-doctoral fellows, focused on future developments in biocomplexity and their potential impacts on biology and medicine. In addition, tutorials and hands-on research projects using computers will allow students to explore real-world biological applications of the new computational and modeling approaches. Students will present the results of their projects in a culminating poster session, which will facilitate discussion of both the biology and computational approaches.The summer school will stimulate further interdisciplinary research and collaborations among engineers, mathematicians, computer scientists, and medical researchers, and will help in identifying new, challenging directions in complex biological science and bioengineering research.

生物科学有可能变得更加定量，因为新兴的计算和数学工具可以促进大量生物数据的收集和分析。复杂生物过程和信号的计算分析和数学建模的新方法可用于表征跨空间和时间尺度的生物数据的可变性和不确定性。例如，这种信号或测量是生物体中相应细胞或器官的生物状态的直接指示器。生物学家、工程师、数学家、计算机科学家和医学研究人员在使用这些新兴技术和方法方面对相互作用的需求日益增加，以便能够发展一支新的跨学科劳动力队伍，能够理解和促进可靠的定量方法，并回答主要的综合生物学挑战。本暑期学校的主要目标是让本科生、研究生和博士后生物科学和生物工程专业的学生接触到复杂生物系统中非线性动态分析和生物信号解释的相对较新的方法，并促进这些数学和计算工具在生物科学中的快速传播。这些方法也将有助于对生物学和生物工程研究感兴趣的计算机科学和数学专业的学生和博士后，因为暑期学校提供了对生物科学基本挑战的独特见解。暑期学校由专家授课，面向生物科学专业的学生。教师将描述他们的研究领域，并着重于如何使用数学和计算工具来理解复杂生物系统和过程的潜在机制。除了这些讲座之外，暑期学校还将采用两小时的小组讨论，本科生、研究生和博士后将积极参与，重点讨论生物复杂性的未来发展及其对生物学和医学的潜在影响。此外，使用计算机的教程和动手研究项目将允许学生探索新的计算和建模方法在现实世界中的生物学应用。学生将在最后的海报会议上展示他们的项目成果，这将促进对生物学和计算方法的讨论。暑期学校将进一步促进工程师、数学家、计算机科学家和医学研究人员之间的跨学科研究和合作，并将有助于在复杂的生物科学和生物工程研究中确定新的、具有挑战性的方向。