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，统计，计算机科学，物理学，计量经济学，心理学，流行病学和数学数学，越来越多地用于促进我们对肥胖的原因，后果和减轻肥胖的理解。这些应用不仅涉及在广泛可用的商业软件中轻松实施的常规良好方法。相反，它们越来越涉及计算要求的任务，使用，在某些情况下开发了新的分析方法和软件，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互代理。在数学科学和肥胖研究的界面上的这种进步需要双边训练和对两个学科的研究人员的暴露。然而，在大多数机构中，经常可以并且确实遍历这些学科的科学家提供了这种培训和榜样。拟议的每年五天短期课程关于肥胖研究的数学科学课程，其中包括世界上一些在该领域工作的世界上最好的科学家，以通过提供9个主题驱动的模块来满足这种未满足的需求，旨在弥合学科。每个模块将以肥胖研究中应用的数学方法开始。此引言将在该方法的完整应用中进行讲座。直接在完成的应用程序之后，参与者将使用与模块主题有关的软件或分析进行指导性交互式会话。最后，该模块通过有关其余的开放问题的讲座结束。为了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长达两个小时的互动工作会议，这些工作会在建立的高级研究人员建立下一步的指导下。参与者可以选择使用此互动会议来开始在国家一级的肥胖会议上提交摘要，或者计划在田纳西州诺克斯维尔的国家数学与生物综合研究所的跨学科研究人员的申请中提高其思想。根据完成的程度，将选择十名参与者在短期课程的最后一天介绍他们的工作。 NIH和整个科学界都表达了在数学科学和关键生物医学领域的界面上进行更多培训的必要性，我们要求有机会成为解决方案的一部分。