The Mathematical Sciences in Obesity Research

肥胖研究中的数学科学

• 批准号: 10602417
• 负责人: DAVID B ALLISON
• 金额: $ 10.8万
• 依托单位: TRUSTEES OF INDIANA UNIVERSITY
• 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 2025-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10602417
• 关键词: Active Learning; Address; Affect; Applications Grants; Applied Research; Archives; Area; Behavioral Model; Big Data; Bilateral; Biomedical Engineering; Body Weight Changes; Case Study; Collaborations; Communities; Complex; Computer Simulation; Computer software; Consultations; Data; Data Science; Derivation procedure; Development; Diabetes Mellitus; Discipline; Disease; Education; Educational Curriculum; Engineering; Enrollment; Epidemiology; Ethics; Faculty; Fostering; Funding; Genomics; Goals; Grant; Health; Health behavior; Hour; Individual; Informatics; Interdisciplinary Study; Intervention Studies; Language; Laws; Lead; Learning; Mathematics; Measures; Methodology; Methods; Modeling; Monitor; Nutritional Study; Obesity; Outcome; Participant; Peer Review; Persons; Physics; Play; Policies; Population; Postdoctoral Fellow; Prize; Procedures; Process; Productivity; Psychometrics; Publications; Reporting; Research; Research Personnel; Research Proposals; Resources; Role; Scientist; Strategic Planning; System; Techniques; Time; Training; Training Programs; United States National Institutes of Health; Video Recording; Voice; analytical method; behavioral response; career; computer science; design; doctoral student; econometrics; energy balance; experience; interest; investigator training; learning materials; learning strategy; lectures; lens; lifestyle intervention; mathematical methods; mathematical sciences; meeting abstracts; meetings; member; next generation; novel; obesity prevention; patient engagement; predictive modeling; programs; public health relevance; responsible research conduct; role model; senior faculty; sensor; statistics; success; theories; tool; web site

Project Summary/Abstract The mathematical sciences including engineering, statistics, computer science, physics, econometrics, and mathematics qua mathematics are increasingly being applied to advance our understanding of the causes, consequences, and alleviation of obesity. These applications go beyond routine approaches easily implemented in available commercial software. Rather, they increasingly involve computationally demanding tasks, development of novel analytic methods and software, new derivations, and an exceptional degree of interdigitation of two or more existing techniques. Moreover, these methods and applications continue to advance; the techniques and questions today are not identical to those from five years ago and continuing to refresh curricula is essential. Advances at the interface of the mathematical sciences and obesity research require bilateral training for investigators in both disciplines. Yet, our existing proven course is, to our knowledge, the only ongoing resource to provide such training by scientists. Our successful five day short course features some of the world’s finest scientists working at this interface to fill the unmet need by providing multiple, topic- driven modules designed to bridge the disciplines. The demand for and success of the course we offered annually for the last five years is evidenced by the facts that over 100 people have enrolled in our course, that over 1300 users have accessed our course video archives, and that over a dozen collaborations have resulted in successful grant applications or peer-reviewed publications from our course participants and faculty. The first module serves as a common orientation for investigators approaching the interface predominantly from a quantitative or obesity lens, followed by 8 modules with topics such as modeling weight change using energy balance, modeling effects in populations, genomic analysis in obesity, modeling behavioral responses to obesity, sensor and engineering models, and scaling laws and obesity. Lectures are video-recorded and posted to our course website for free viewing, thereby extending the reach of our course. Because individuals learn best in complex tasks when they can interact with the material, we include a number of interactive sessions designed to engage the participants in active learning. These sessions include panel discussion, debates with audience participation, question and answer periods, and discovery-based learning activities. These have been refined by us over the prior funding cycle to be those that best serve and are most highly appreciated by our participants. Senior faculty offer lectures and lead small group and individual consultations with participants on topics such as grant acquisition and navigating an interdisciplinary career. The new Mathematical sciences in Obesity Research Excellence (MORE) Prize will engage participants beyond the course to identify an outstanding publication on quantitative obesity research to be honored at the following years’ course. The NIH and the scientific community at large have voiced the need for more training at the interface of the mathematical sciences and key biomedical domains, and we request the opportunity to continue to be part of the solution.

项目摘要/摘要 数学科学在内，包括工程，统计，计算机科学，物理，经济学和 数学数学越来越多地用于提高我们对原因的理解， 后果和减轻观察。这些应用程序超出了容易实施的常规方法 在可用的商业软件中。相反，它们越来越涉及计算要求的任务， 开发新颖的分析方法和软件，新推导以及特殊程度 两种或多种现有技术的互作。此外，这些方法和应用继续 进步;当今的技术和问题与五年前的技术并不相同，并继续 刷新课程至关重要。在数学科学和肥胖研究的界面上的进步 对两个学科的研究人员需要双边培训。然而，据我们所知，我们现有的经过验证的课程是 唯一提供科学家进行此类培训的持续资源。我们成功的五天短期课程功能 通过提供多个主题 - 旨在弥合学科的驱动模块。我们提供的课程的需求和成功 过去五年来的一种方法可以证明，有100多人参加了我们的课程，即 超过1300位用户访问了我们的课程视频档案，并导致了十几次合作 在我们的课程参与者和教职员工的成功赠款申请或同行评审的出版物中。第一个 模块是研究人员的共同方向，主要是从一个 定量或肥胖镜头，然后是8个模块，具有诸如使用能量改变重量的主题 平衡，人群中的建模效应，肥胖中的基因组分析，对肥胖的行为反应建模， 传感器和工程模型，以及扩展法律和对象性。讲座是视频录制的，并将其发布到我们的 课程网站免费查看，从而扩大了我们课程的范围。因为个人在 复杂的任务可以与材料互动时，我们包括许多设计的交互式会话 吸引参与者积极学习。这些会议包括小组讨论，与观众的辩论 参与，问答期以及基于发现的学习活动。这些已经完善了 在先前的资金周期中，我们是那些最好的服务，并且受到参与者的高度赞赏。 高级教师提供讲座，领导小组以及与参与者就此类主题的个人咨询 作为赠款的收购和跨学科职业。肥胖的新数学科学 研究卓越（更多）奖项将吸引参加课程以外的参与者，以确定杰出的 关于定量肥胖研究的出版物将在接下来的几年课程中得到荣誉。 NIH和 整个科学界都表达了在数学科学界面上进行更多培训的必要性 和关键的生物医学领域，我们要求有机会继续成为解决方案的一部分。