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

这项授予位于马萨诸塞州梅德福德的塔夫茨大学的REU Site奖将支持2017-2019年夏季为期10周的10名学生的培训。该项目得到了生物科学局(BIO)的生物基础设施处(DBI)、计算机和信息科学与工程局(CEISE)的高级数字基础设施处(ACI)和工程局(ENG)的工程教育和中心处(EEC)的支持。这个REU网站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，以了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得到支持，研讨会提供现代数据分析、建模和可视化工具的实践介绍。学生将通过由教师导师领导的研讨会和小组讨论，在负责任的研究和道德方面进行培训。参与者将在全国范围内从工程或生命科学专业的大三和大四学生中招募。申请者将由PI和Co-PI组成的教职员工委员会、研讨会负责人和导师选出。预计共有30名学生将在该计划中接受培训，这些学生主要来自研究机会有限的学校。学生将学习研究是如何进行的，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学生不同的STEM学习风格，并获得参与K-12外展的机会。将使用生物基础设施司(生物科学局)资助的所有REU项目使用的通用网络评估工具来确定培训方案的有效性。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。欲了解更多有关该计划的信息，请访问http://engineering.tufts.edu/research/reu.htm，，或联系公社(kyongum.lee@tufts.edu)或共同公社(daniel.ryder@tufts.edu丹尼尔·莱德博士)

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 kyongbum.lee@tufts.edu) or the co-PI (Dr. Daniel Ryder at daniel.ryder@tufts.edu)