Computational Applications in Diabetes and Endocrinology

糖尿病和内分泌学中的计算应用

• 批准号: 7052034
• 负责人: MICHAEL Linn JOHNSON
• 金额: $ 10.19万
• 依托单位: UNIVERSITY OF VIRGINIA
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-05-01 至 2008-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7052034
• 关键词: clinical research; computer assisted instruction; curriculum; diabetes education; education evaluation /planning; educational resource design /development; endocrinology; health science research potential; mathematics

DESCRIPTION (provided by applicant): We propose to develop a cross-disciplinary NIDDK educational program in Computational Applications in Diabetes and Endocrinology that integrates quantitative and computational strategies with diabetes and endocrine research in undergraduate, graduate, and postgraduate curricula at the University of Virginia (UVA). Development and implementation of an undergraduate summer research experience will be assisted by three consultants - undergraduate math and biology faculty at Sweet Briar College (SBC; a small, technologically-oriented undergraduate women's college near UVA) with whom the program directors have a productive, long-standing relationship re: educational development activities. The goal is a unique, innovative, curriculum-driven program that creates educational opportunities to attract students and fellows to careers in biomedical diabetes/endocrine research, with particular emphasis on quantitative applications. In this way, we hope to target historically under-represented disciplines in biomedical research in diabetes and endocrinology (math, stats, engr, comp sci, etc.). A broad array of independently-funded projects in diabetes/endocrine research at UVA [spanning a range of hierarchical levels of organization: (i) sub-cellular/cellular; (ii) hormonal-patterning; (iii) endocrine-network; (iv) human, macroscopic; and (v) biobehavioral] will serve as content basis for the educational modules developed in this program. Students will derive unique benefit from attempts to replicate challenges presented by contemporary research, thereby providing skills needed to transition from undergraduate classroom to graduate education to professional career and beyond. The instructional format will be modular, based on individual diabetes/endocrine research projects/questions. Tangible deliverables we propose to develop: (i) undergraduate research experience modules with problems sets, laboratory and project activities, and instructor lesson plans; (ii) advanced, graduate-level textbook, "Quantifying Diabetes: Data Analysis and Modeling Methods for Diabetes Research and Clinical Practice;" (iii) corresponding interactive CDs; and (iv) interactive web site providing links between textbook/CD content and research projects, and updated tutorial materials. Eventually, we plan to offer formal degree subspecializations in Biomathematics (BS/MS) and Computational Diabetes and Endocrinology (MS/PhD)

描述（由申请人提供）： 我们建议在糖尿病和内分泌学的计算应用中开发跨学科的NIDDK教育计划，该计划将定量和计算策略与弗吉尼亚大学（UVA）的本科，研究生和研究生课程的糖尿病和内分泌研究相结合。三名顾问将在Sweet Briar College（SBC； UVA附近的小型，技术上的小型本科女性学院）的三名顾问来协助和实施本科夏季研究经验的开发和实施。该计划主管与该计划主管与该计划主管有一项富有成效的，长期以来的关系：教育发展活动：教育发展活动。该目标是一个独特的，创新的，课程驱动的计划，它创造了教育机会，以吸引学生和研究员从事生物医学糖尿病/内分泌研究的职业，并特别强调定量应用。通过这种方式，我们希望针对历史上代表性不足的糖尿病和内分泌学（数学，统计，工程师，Comp SCI等）的代表性不足的学科。 UVA的糖尿病/内分泌研究中的一系列独立资助的项目[跨越一系列组织级别：（i）亚细胞/细胞； （ii）荷尔蒙模式； （iii）内分泌网络； （iv）人类，宏观； （v）Biobehavioral]将作为该计划中开发的教育模块的内容基础。学生将通过尝试复制当代研究提出的挑战而获得独特的好处，从而提供从本科教育到研究生教育到职业职业及其他领域所需的技能。 教学格式将基于单个糖尿病/内分泌研究项目/问题模块化。我们建议开发的有形可交付成果：（i）具有问题集，实验室和项目活动以及讲师课程计划的本科研究经验模块； （ii）高级研究生教科书，“量化糖尿病：糖尿病研究和临床实践的数据分析和建模方法；” （iii）相应的交互式CD； （iv）交互式网站提供教科书/CD内容和研究项目之间的链接，以及更新的教程材料。最终，我们计划在生物学（BS/MS）和计算糖尿病和内分泌学（MS/PHD）中提供正式的学位子专业化