Interdisciplinary Training in Systems & Biomolecular Data Science

项目总结/摘要 当代基础研究使用数据密集型方法来解决以下基本问题： 在系统层面出现的生物现象。该应用程序将建立系统& 生物分子数据科学（SBDS）培训计划作为培养定量，计算和 弗吉尼亚大学（UVA）的分析博士预科生。SBDS培训计划汇集了 12个学位授予项目和34名教师导师横跨医学，工程，数据的UVA学校 科学，艺术和科学。UVA在SBDS方面有着丰富的历史，它跨越了数十年的系统生理学 在不同的细胞类型和器官，从而确保每年的博士前申请人的竞争力池。的 共同首席信息官在SBDS领域具有互补的专业知识，并在指导和教育、职业生涯 博士前学生的发展，科学的严谨性和透明度，以及多样性，公平和包容性。 SBDS培训计划的总体目标是为下一代跨学科的 生物医学科学家在定量生物学，系统生物学，机器学习， 信息学.为期一年的SBDS课程将指导10个第二年的博士。学生加一个费用分摊 学生通过课程作业，讨论系列合作的基础，期刊俱乐部，黑客， 在经批准的共同导师的实验室中进行80小时的研究沉浸，该共同导师与 第一导师SBDS校友通过与以下机构的持续关系与培训计划保持联系： 他们的共同导师和杂志俱乐部的灵活性，讨论研究进展和后续奖学金 应用.该培训计划建立在一次性大数据到知识培训的优势之上 在弗吉尼亚大学的赠款，这是由主任办公室赞助，并由国家图书馆协调， 药SBDS具有强大的评估和传播计划，以确保该计划模仿 灵活性和多功能性，将其学员的特点。

PROJECT SUMMARY/ABSTRACT Contemporary basic research uses data-intensive approaches to address fundamental questions about biological phenomena that emerge at the systems level. This application will establish the Systems & Biomolecular Data Science (SBDS) training program as a hub for cultivating quantitative, computational, and analytic predoctoral students at the University of Virginia (UVA). The SBDS training program brings together 12 degree-granting programs and 34 faculty mentors across the UVA Schools of Medicine, Engineering, Data Science, and Arts & Sciences. UVA has a rich history in SBDS, which spans decades of systems physiology in different cell types and organs, thus ensuring a competitive pool of predoctoral applicants each year. The co-PIs have complementary expertise in the SBDS field and track records in mentorship and education, career development of predoctoral students, scientific rigor and transparency, and diversity, equity, and inclusion. The overarching goal of the SBDS training program is to prepare the next generation of transdisciplinary biomedical scientists at the interface of quantitative biology, systems biology, machine learning, and informatics. The one-year SBDS curriculum will guide 10 second-year Ph.D. students plus one cost-shared student through coursework, a discussion series on collaborative foundations, a journal club, a hackathon, and an 80-hour research immersion in the laboratory of an approved co-mentor who is complementary to the primary mentor. SBDS alumni remain connected to the training program through a sustained relationship with their co-mentor and journal-club flexibility for discussions of research in progress and follow-on fellowship applications. The training program builds upon the strengths of a one-time Big Data to Knowledge training grant at UVA, which was sponsored by the Office of the Director and coordinated by the National Library of Medicine. SBDS has robust plans for assessment and dissemination to ensure that the program emulates the agility and versatility that will characterize its trainees.