The Mathematical Sciences in Obesity Research

肥胖研究中的数学科学

• 批准号: 8853277
• 负责人: DAVID B ALLISON
• 金额: $ 10.89万
• 依托单位: UNIVERSITY OF ALABAMA AT BIRMINGHAM
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-01 至 2016-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8853277
• 关键词: Address; Affect; Area; Bilateral; Biological; Biology; Case Study; Collaborations; Communities; Computer Simulation; Computer software; Data Analyses; Degree Completion; Derivation procedure; Development; Discipline; Engineering; Epidemiology; Fostering; Goals; Health; Hour; Institutes; Institution; Interdisciplinary Study; Language; Mathematics; Measures; Methodology; Methods; Obesity; Outcome; Participant; Patient Monitoring; Physics; Play; Policies; Population; Postdoctoral Fellow; Procedures; Process; Psychometrics; Research; Research Personnel; Resources; Role; Scientist; Solutions; Strategic Planning; System; Techniques; Training; United States National Institutes of Health; Voice; Work; abstracting; base; career; computer science; design; doctoral student; graduate student; interest; lectures; lifestyle intervention; mathematical methods; mathematical sciences; meetings; next generation; novel; novel strategies; obesity prevention; predictive modeling; programs; role model; statistics; symposium; tool

DESCRIPTION (provided by applicant): The mathematical sciences including engineering, statistics, computer science, physics, econometrics, psychometrics, epidemiology, and mathematics qua mathematics are increasingly being applied to advance our understanding of the causes, consequences, and alleviation of obesity. These applications do not merely involve routine well-established approaches easily implemented in widely available commercial software. Rather, they increasingly involve computationally demanding tasks, use and in some cases development of novel analytic methods and software, new derivations, computer simulations, and unprecedented interdigitation of two or more existing techniques. Such advances at the interface of the mathematical sciences and obesity research require bilateral training and exposure for investigators in both disciplines. Yet, no ongoing resource exists to provide such training and role models of scientists who regularly can and do traverse these disciplines are in short supply at most institutions. The proposed annual five day short course on the mathematical sciences in obesity research features some of the world's finest scientists working in this domain to fill this unmet need by providing nine topic driven modules designed to bridge the disciplines. Each module will begin with a mathematical method applied in obesity research. This introduction will be followed by a lecture on a completed application of the method. Directly after the completed application, participants will be engaged in a guided interactive session performing calculations using software or analysis pertaining to the module topic. Finally, the module closes with a lecture on remaining open questions. In recognition of the challenges in successfully managing an interdisciplinary career, each day of the short course will contain a two hour long interactive working session guided by established senior researchers in building the next step. Participants may choose to use this interactive session to begin develop an abstract for submission at national level obesity conferences or plan an application for a small interdisciplinary group of researchers to advance their ideas at the National Institute of Mathematical and Biological Synthesis in Knoxville, TN. Based on the degree of completion, ten participants will be selected to present their work on the last day of the short course. The NIH and the scientific community at large has voiced the need for more training at the interface of the mathematical science and key biomedical domains, and we request the opportunity to be part of the solution.

描述（由申请人提供）：数学科学，包括工程学、统计学、计算机科学、物理学、计量经济学、心理测量学、流行病学和作为数学的数学，越来越多地被应用于增进我们对肥胖的原因、后果和缓解的理解。这些应用程序不仅仅涉及在广泛使用的商业软件中轻松实现的常规成熟方法。相反，它们越来越多地涉及计算要求较高的任务、新颖分析方法和软件的使用和在某些情况下的开发、新的推导、计算机模拟以及两种或多种现有技术的前所未有的交叉。数学科学和肥胖研究交叉领域的此类进展需要对这两个学科的研究人员进行双边培训和接触。然而，目前没有持续的资源来提供此类培训，而大多数机构都缺乏经常能够并且确实跨越这些学科的科学家的榜样。拟议的每年为期五天的肥胖研究数学科学短期课程邀请了一些在该领域工作的世界上最优秀的科学家，通过提供旨在连接学科的九个主题驱动模块来满足这一未满足的需求。每个模块都将从肥胖研究中应用的数学方法开始。本介绍之后将是有关该方法的完整应用的讲座。完成申请后，参与者将立即参与指导互动会话，使用与模块主题相关的软件或分析进行计算。最后，该模块以关于剩余悬而未决问题的讲座结束。认识到成功管理跨学科职业的挑战，短期课程的每一天都将包含一个两小时长的互动工作会议，由资深研究人员指导，以构建下一步。参与者可以选择使用此互动会议开始编写摘要以在国家级肥胖会议上提交，或计划向一个小型跨学科研究小组申请，以在田纳西州诺克斯维尔的国家数学和生物合成研究所推进他们的想法。根据完成程度，将选择十名参与者在短期课程的最后一天展示他们的作品。美国国立卫生研究院和整个科学界表示需要在数学科学和关键生物医学领域的接口上进行更多培训，我们请求有机会成为解决方案的一部分。