Interdisciplinary Training in Systems & Biomolecular Data Science

系统跨学科培训

• 批准号: 10411477
• 负责人: Kevin A Janes
• 金额: $ 31.22万
• 依托单位: UNIVERSITY OF VIRGINIA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10411477
• 关键词: Data Science; System; Training

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.

项目摘要/摘要 当代基础研究使用数据密集型方法来解决有关的基本问题 在系统级别出现的生物学现象。该应用程序将建立系统＆ 生物分子数据科学（SBD）培训计划是培养定量，计算和 弗吉尼亚大学（UVA）的分析前学生。 SBD培训计划汇集了 UVA医学，工程，数据的12个学位授予课程和34位教师导师 科学和艺术与科学。 UVA在SBD中拥有悠久的历史，它涵盖了数十年的系统生理学 在不同的细胞类型和器官中，从而确保每年有竞争性申请人的竞争库。这 Co-Pis在SBDS领域具有互补的专业知识和指导和教育的记录，职业 发展前学生的发展，科学严谨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准备下一代的跨学科 定量生物学，系统生物学，机器学习和生物医学科学家 信息学。为期一年的SBDS课程将指导10二年级博士学位。学生加上一个成本共享 通过课程工作，关于协作基金会，期刊俱乐部，黑客马拉松和的讨论系列 一项80小时的研究沉浸在一个批准的院士实验室中，他与 主要导师。 SBDS校友通过与培训计划保持联系 他们的联合和俱乐部俱乐部灵活性，以讨论正在进行的研究和随后的奖学金 申请。培训计划以一次性大数据的优势为基础，以知识培训 UVA的格兰特（Grant）由董事办公室赞助，并由国家图书馆协调 药品。 SBD有强大的评估和传播计划，以确保该计划模仿 敏捷性和多功能性将以受训者为特征。