REU Site: Multi-Scale Systems Bioengineering and Biomedical Data Sciences

REU 网站：多尺度系统生物工程和生物医学数据科学

• 批准号: 1950374
• 负责人: Timothy Allen
• 金额: $ 40.68万
• 依托单位: University of Virginia Main Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-04-01 至 2025-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1950374&HistoricalAwards=false
• 关键词: REU; Site; Multi; Scale; Systems

The employment of biomedical engineers is projected to grow 23% over the period from 2019-2024, creating a critical need for those who can support the design, development and production of new devices, systems, and software used in healthcare. Advances in the biomedical sciences and medicine will increasingly depend upon the application of rigorous and quantitative engineering-based approaches to characterize and interrogate biological systems, as well as tools of data science for mining and analyzing the massive amounts of clinical and biological data needed to diagnose and treat disease going forward. To meet the growing need for workforce pipeline development specifically in the areas of systems bioengineering and biomedical data sciences, the REU Site in Multi-Scale Systems Bioengineering and Biomedical Data Sciences at the University of Virginia will recruit and train ten undergraduate participants per summer in state-of-the-art systems bioengineering and biomedical data sciences research. While open to a broad national pool of top students in STEM, the REU Site will specifically target talented undergraduates majoring in STEM fields at institutions with limited research opportunities in the field, with an emphasis on recruiting students from underrepresented groups. The research experience and mentorship will help prepare these REU students for work in this fast-growing and pioneering field that would otherwise be unavailable to them at their home institutions. Faculty mentors will maintain continuing relationships with the participants after completing the program, helping to improve the likelihood that the students will remain in STEM.The overarching goal of the REU is to train a diverse corps of young engineers and scientists from a variety of STEM backgrounds and provide them with the skills, confidence, and mentorship necessary for successful careers in the exciting—and growing—area of systems bioengineering and biomedical data sciences. Students will be matched with faculty mentors for a 10-week summer research project, culminating in an abstract and public symposium, and with most students also having the opportunity to present at a national conference. The students will participate in collaborative, hands-on, and closely mentored projects that will immerse them in a combination of experimentation, computation, and data science. Students will acquire the practical skills, knowledge, ethical grounding, and communication skills necessary to be productive in advanced graduate study and be successfully employed in the modern biotechnology industry. The program will also provide students with career advising, grounding in research ethics, training in scientific communication, and ongoing mentorship after completion of the program.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

预计 2019 年至 2024 年期间，生物医学工程师的就业人数将增长 23%，这对能够支持生物医学领域新设备、系统和软件的设计、开发和生产的人员产生了迫切需求。科学和医学将越来越依赖于应用严格的、基于定量工程的方法来表征和询问生物系统，以及数据科学工具来挖掘和分析诊断和治疗疾病所需的大量临床和生物数据。向前。为了满足系统生物工程和生物医学数据科学领域对劳动力管道开发不断增长的需求，弗吉尼亚大学多尺度系统生物工程和生物医学数据科学 REU 站点将每年夏天在该州招募和培训 10 名本科生最先进的系统生物工程和生物医学数据科学研究在向全国范围内 STEM 领域的顶尖学生开放的同时，REU 站点还将专门针对该领域研究机会有限的机构中主修 STEM 领域的优秀本科生。重点从代表性不足的群体中招募学生，研究经验和指导将有助于这些 REU 学生为这一快速发展和开拓性领域的工作做好准备，否则他们在本国机构将无法获得这些工作机会。 REU 的总体目标是培训来自不同 STEM 背景的多元化年轻工程师和科学家，并为他们提供技能和信心， 和学生将与教师导师进行为期 10 周的夏季研究项目，最终以抽象和公开研讨会结束，大多数学生导师还有机会在全国会议上发表演讲。学生将参与协作、实践活动。以及密切指导的项目，使他们沉浸在实验、计算和数据科学的结合中，学生将获得实践技能、知识、该项目还将为学生提供职业建议、研究伦理基础、科学交流培训以及完成学业后的持续指导。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。