REU Site: Enabling Analysis and Design of Complex Biological Systems through Data Science

REU 网站：通过数据科学实现复杂生物系统的分析和设计

• 批准号: 1560388
• 负责人: Kyongbum Lee
• 金额: $ 34.88万
• 依托单位: Tufts University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2020-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1560388&HistoricalAwards=false
• 关键词: REU; Site; Enabling; Analysis; Design

This REU Site award to Tufts University, located in Medford, MA, will support the training of 10 students for 10 weeks during the summers of 2017- 2019. This project is supported by the Division of Biological Infrastructure (DBI) in the Directorate for Biological Sciences (BIO), the Division of Advanced Cyberinfrastructure (ACI) in the Directorate of Computer and Information Science and Engineering (CISE), and the Division of Engineering Education and Centers (EEC) in the Directorate for Engineering (ENG). This REU Site will develop data science approaches to analyze and design complex biological systems. Because of the interdisciplinary nature of the program, faculty mentors are drawn from multiple departments across life sciences, engineering, and computing sciences, including Chemical and Biological Engineering, Microbiology, Electrical and Computer engineering, and Computer Science. Research projects deal with the collection, analysis, and modeling of biological data sets to understand or design a system of interest, ranging from microbial communities to bioreactors. The research activities are supported through workshops providing a hands-on introduction to modern data analysis, modeling, and visualization tools. Students will be provided training in responsible conduct of research and ethics through seminars and group discussions led by faculty mentors. Participants will be recruited nationally among rising juniors and seniors majoring in an engineering or life science discipline. Applicants will be selected by a faculty committee of the PI and Co-PI, workshop leaders, and mentors. It is anticipated that a total of 30 students, primarily from schools with limited research opportunities, will be trained in the program. Students will learn how research is conducted, and many will present the results of their work at scientific conferences. The students will learn about different STEM learning styles of K-12 students, and be presented opportunities to engage in K-12 outreach. A common web-based assessment tool used by all REU programs funded by the Division of Biological Infrastructure (Directorate for Biological Sciences) will be used to determine the effectiveness of the training program. Students will be tracked after the program in order to determine their career paths. Students will be asked to respond to an automatic email sent via the NSF reporting system. More information about the program is available by visiting http://engineering.tufts.edu/research/reu.htm, or by contacting the PI (Dr. Kyongbum Lee at [e-mail]) or the co-PI (Dr. Daniel Ryder at [e-mail])

REU 授予位于马萨诸塞州梅德福的塔夫茨大学的场地奖将支持 10 名学生在 2017 年至 2019 年夏季进行为期 10 周的培训。该项目得到了生物理事会生物基础设施部 (DBI) 的支持科学部 (BIO)、计算机与信息科学与工程局 (CISE) 高级网络基础设施部 (ACI) 以及工程教育和中心部(EEC) 隶属于工程理事会 (ENG)。该 REU 站点将开发数据科学方法来分析和设计复杂的生物系统。由于该项目的跨学科性质，教师导师来自生命科学、工程和计算科学的多个系，包括化学和生物工程、微生物学、电气和计算机工程以及计算机科学。研究项目涉及生物数据集的收集、分析和建模，以理解或设计感兴趣的系统，范围从微生物群落到生物反应器。研究活动通过研讨会提供支持，提供现代数据分析、建模和可视化工具的实践介绍。通过由教师导师主持的研讨会和小组讨论，学生将接受负责任的研究行为和道德规范的培训。参与者将在全国范围内招募工程或生命科学专业的大三和大四学生。申请人将由 PI 和 Co-PI、研讨会领导和导师组成的教职委员会选出。预计共有 30 名学生（主要来自研究机会有限的学校）将接受该计划的培训。学生将了解如何进行研究，许多人将在科学会议上展示他们的工作成果。学生将了解 K-12 学生的不同 STEM 学习风格，并有机会参与 K-12 外展活动。 由生物基础设施司（生物科学局）资助的所有 REU 项目均使用基于网络的通用评估工具，用于确定培训项目的有效性。项目结束后将对学生进行跟踪，以确定他们的职业道路。学生将被要求回复通过 NSF 报告系统发送的自动电子邮件。有关该计划的更多信息，请访问 http://engineering.tufts.edu/research/reu.htm，或联系 PI（Kyongbum Lee 博士，[e-mail]）或联合 PI（丹尼尔·莱德博士 ([e-mail])