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）： 我们建议开发一个跨学科的NIDDK教育计划，在糖尿病和内分泌学的计算应用，整合定量和计算策略与糖尿病和内分泌研究在本科，研究生和研究生课程在弗吉尼亚大学（UVA）。开发和实施本科生暑期研究经验将由三名顾问协助-甜石楠学院（SBC;一个小型的，技术导向的本科女子学院附近的UVA）的本科数学和生物学教师与谁的程序主任有一个富有成效的，长期的关系re：教育发展活动。我们的目标是一个独特的，创新的，受欢迎的计划，创造教育机会，吸引学生和研究员在生物医学糖尿病/内分泌研究的职业生涯，特别强调定量应用。通过这种方式，我们希望将目标锁定在糖尿病和内分泌学的生物医学研究中历史上代表性不足的学科（数学，统计学，工程学，复合科学等）。 UVA糖尿病/内分泌研究中的一系列独立资助项目[跨越组织的层次结构：（i）亚细胞/细胞;（ii）神经模式;（iii）内分泌网络;（iv）人类，宏观;和（v）生物行为]将作为该计划中开发的教育模块的内容基础。学生将从尝试复制当代研究所提出的挑战中获得独特的好处，从而提供从本科课堂过渡到研究生教育到职业生涯及以后所需的技能。 教学格式将是模块化的，基于个人糖尿病/内分泌研究项目/问题。我们建议开发的可交付成果：（i）本科生研究经验模块，包括问题集、实验室和项目活动以及教师教案;（ii）高级研究生水平教科书，“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;及（iv）提供课本/光碟内容与研究项目之间的连结的互动网站，以及最新的辅导材料。最终，我们计划提供生物数学（BS/MS）和计算糖尿病和内分泌学（MS/PhD）的正式学位亚专业