Computational Applications in Diabetes and Endocrinology

描述(由申请人提供)： 我们建议开发一个跨学科的NIDDK糖尿病和内分泌学计算应用教育计划，将量化和计算策略与糖尿病和内分泌研究相结合，在弗吉尼亚大学(UVA)的本科生、研究生和研究生课程中进行研究。本科生暑期研究体验的开发和实施将得到三名顾问的协助--斯威特·布莱尔学院(SBC；一所位于弗吉尼亚州附近的一所小型、以技术为导向的本科生女子学院)的本科生数学和生物系教员，项目主任与他们建立了富有成效的长期合作关系：教育发展活动。目标是一个独特的、创新的、以课程为导向的计划，创造教育机会，吸引学生和研究员从事生物医学糖尿病/内分泌研究，特别强调量化应用。通过这种方式，我们希望在糖尿病和内分泌学(数学、统计学、工程学、COMP SCI等)的生物医学研究中瞄准历史上未被充分代表的学科。 威斯康星大学在糖尿病/内分泌研究方面的一系列独立资助的项目[涉及一系列层级组织：(I)亚细胞/细胞；(Ii)荷尔蒙模式；(Iii)内分泌网络；(Iv)人类、宏观和(V)生物行为]将作为本计划开发的教育模块的内容基础。学生将从复制当代研究带来的挑战的尝试中获得独特的好处，从而提供从本科生课堂过渡到研究生教育、职业生涯和以后所需的技能。 教学形式将是模块化的，基于个别糖尿病/内分泌研究项目/问题。我们建议开发的具体交付成果：(I)带有习题集、实验室和项目活动以及教师教学计划的本科生研究经验模块；(Ii)研究生水平的高级教科书“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)相应的互动CD；以及(Iv)互动网站，提供教科书/CD内容与研究项目和更新的教程材料之间的链接。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)的正规学位细分专业

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)