Gaining Skills and Collaborating Through Interdisciplinary Education

通过跨学科教育获得技能和合作

• 批准号: 8146196
• 负责人: Sarah J Wheelan
• 金额: $ 5.47万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-22 至 2013-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8146196
• 关键词: Behavioral; Behavioral Research; Biological; Biology; Biomedical Research; Clinical; Collaborations; Communities; Competence; Complex; Computational Biology; Computer software; Data; Data Set; Decision Making; Discipline; Education; Educational workshop; Engineering; Faculty; Fostering; Future; Genetic; Genomics; Goals; Head Start Program; Instruction; Interdisciplinary Study; Joints; Knowledge; Language; Learning; Mathematics; Medical; Methods; Nature; Online Systems; Participant; Postdoctoral Fellow; Research; Research Personnel; Science; Scientist; Students; System; Training; Update; Work; analytical method; biological research; biomedical scientist; innovation; interdisciplinary approach; interest; member; model development; multidisciplinary; novel strategies; posters; public health relevance; research and development; skills; statistics

DESCRIPTION (provided by applicant): We propose a weeklong, accessible workshop that offers short courses for both biomedical scientists and analysts. It will give both groups the material and skills that cutting-edge scientists need in order to maintain their level of innovation and relevance. It will also give the groups a chance to interact, which they rarely are able to do. Scientists engaged in multidisciplinary research, systems sciences, model development, and research on large and complex data sets need to understand the assumptions, advantages, and limitations of these approaches. Likewise, many quantitative scientists are interested in applying their skills and knowledge to contemporary biological and behavioral research but may lack formal training in fundamental biological disciplines. These scientists would benefit from instruction in the goals, nature, issues, and language of biological research. PUBLIC HEALTH RELEVANCE: Progress in contemporary biological and behavioral disciplines depends heavily on investigators who are skilled in the use of mathematics, computation, and statistics (collectively referred to as quantitative methods) but who also appreciate biological and medical principles enough to understand the complexity inherent in applying these methods to real biological data. Similarly, their biological counterparts must understand and appreciate analytical methods in order to make decisions about managing the enormous data sets that are produced by modern experimental methods. In our proposal, we outline a simple and effective approach to helping scientists from disciplines as diverse as these gain the competence and perspective they need to maintain their status at the forefront of biomedical research.

描述（由申请人提供）：我们提议举办为期一周的无障碍研讨会，为生物医学科学家和分析师提供短期课程。 它将为这两个群体提供尖端科学家所需的材料和技能，以保持其创新和相关性。 它还将给这些团体一个互动的机会，这是他们很少能够做到的。 从事多学科研究、系统科学、模型开发和大型复杂数据集研究的科学家需要了解这些方法的假设、优势和局限性。 同样，许多定量科学家有兴趣将他们的技能和知识应用于当代生物和行为研究，但可能缺乏基础生物学科的正规培训。 这些科学家将受益于有关生物研究的目标、性质、问题和语言的指导。 公共卫生关系：当代生物学和行为学学科的进步在很大程度上取决于那些熟练使用数学、计算和统计学（统称为定量方法）的研究人员，他们也足够欣赏生物学和医学原理，能够理解将这些方法应用于真实的生物数据时所固有的复杂性。 同样，他们的生物同行必须理解和欣赏分析方法，以便对管理由现代实验方法产生的庞大数据集做出决定。 在我们的提案中，我们概述了一种简单有效的方法，帮助来自不同学科的科学家获得他们所需的能力和观点，以保持他们在生物医学研究前沿的地位。