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

这个REU网站奖塔夫茨大学，位于马萨诸塞州梅德福，将支持10名学生在2017年至2019年的夏天10周的培训。该项目由生物科学局（BIO）的生物基础设施部（DBI），计算机和信息科学与工程局（CISE）的高级网络基础设施部（ACI）以及工程教育和中心部（EEC）工程局（ENG）支持。该网站将开发数据科学方法来分析和设计复杂的生物系统。由于该计划的跨学科性质，教师导师来自生命科学，工程和计算科学的多个部门，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，从微生物群落到生物反应器。研究活动通过研讨会提供了一个动手介绍现代数据分析，建模和可视化工具的支持。学生将通过由教师导师领导的研讨会和小组讨论，提供负责任的研究和道德行为的培训。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，研讨会领导人和导师的教师委员会选出。预计共有30名学生，主要来自研究机会有限的学校，将在该方案中接受培训。学生将学习如何进行研究，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学生不同的STEM学习风格，并有机会参与K-12推广活动。 由生物基础设施司（生物科学局）资助的所有REU计划使用的共同网络评估工具将用于确定培训计划的有效性。学生将在课程结束后进行跟踪，以确定他们的职业道路。学生将被要求通过NSF报告系统自动发送电子邮件。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，电子邮件：kyongbum. tufts.edu）或联合PI（丹尼尔赖德博士，电子邮件：daniel. tufts.edu）

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)