REU Site: Computational Biology Summer Research Experience at Rutgers - Camden
REU Site: Computational Biology Summer Research Experience at Rutgers - Camden
批准号:
1559868
负责人:
Benedetto Piccoli
金额:
$36.67万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-05-01 至 2019-04-30
中文摘要
REU Site奖授予位于新泽西州卡姆登的罗格斯大学卡姆登分校,将在2016-18年夏季支持10名学生进行为期10周的培训。该项目得到生物科学局(BIO)生物基础设施处(DBI)和数学和物理科学局(MPS)数学科学处(DMS)的支持。来自生物、化学、计算机科学、数学和物理的参与教员将为本科生提供跨学科的暑期研究体验,重点是将实验和计算方法结合起来研究生物系统。学生将获得数学建模、实验设置和计算生物学方面的技能。该计划将包括旨在加强对科学研究这一广泛主题的知识的丰富课程。该项目采用了兼收并蓄的综合招生方法,包括与社区学院的合作。个别项目说明和在线申请可在http://ccib.camden.rutgers.edu/reu/.上找到项目负责人将根据资格标准进行选择,其中包括一年级、二年级或副学士学位水平、累积GPA为3.0、至少完成一门本科理科课程,以及对研究的兴趣和潜力。过去的群体包括来自代表性不足群体的不同学生、退伍军人和社区大学。共有30名来自研究机会有限的学校的学生将在该项目中接受培训。这些项目将向学生介绍计算生物学研究的综合方法;发展学术、专业和个人技能;培养鼓励发现和创新的合作环境;使学生接触到与科学研究和发展相关的领域,如道德行为和技术转让;最后,使参与者能够在充分了解他们的学术和职业生涯的情况下做出决定。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结果。由生物基础设施部(BIO)资助的所有REU项目都将使用一个通用的基于网络的评估工具来确定培训计划的有效性。该项目完成后,将对学生进行跟踪,以确定学生的职业道路。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://ccib.camden.rutgers.edu/reu/,,或联系PI(皮科利博士,电子邮件:Piccoli@camden.rutgers.edu)或共同国际(Joe Martin博士,电子邮件:joe.martin@camden.rutgers.edu)。
英文摘要
This REU Site award to Rutgers University - Camden, located in Camden, NJ, will support the training of 10 students for 10 weeks during the summers of 2016-18. This project is supported by the Division of Biological Infrastructure (DBI) in the Directorate for Biological Sciences (BIO) and the Division of Mathematical Sciences (DMS) in the Directorate for Mathematics and Physical Sciences (MPS). Participating faculty from Biology, Chemistry, Computer Science, Mathematics and Physics will provide an interdisciplinary summer research experience to undergraduate students with a strong focus on the combination of experimental and computational approaches for the study of biological systems. Students will acquire skills in mathematical modeling, experimental setup and computational biology. The program will include enrichment sessions geared towards strengthening knowledge on the broad theme of scientific research. The program employs an eclectic and comprehensive approach to recruiting, including partnerships with community colleges. Individual project descriptions and an online application can be found at http://ccib.camden.rutgers.edu/reu/. Selection will be made by the project leaders based on eligibility criteria that includes freshman, sophomore or associate's degree level status, a cumulative 3.0 GPA, completion of at least one undergraduate science course as well as interest and potential in research. Past cohorts have included diverse students from underrepresented groups, veterans, and community colleges.A total of 30 students from schools with limited research opportunities will be trained in the program. The projects will introduce students to an integrated approach to research in computational biology; develop academic, professional, and personal skills; foster a collaborative environment encouraging discovery and innovation; expose students to areas of relevance for scientific research and development such as ethical conduct and technology transfer; and finally, equip participants to make well-informed decisions on their academic and professional career. Students will learn how research is conducted, and many will present the results of their work at scientific conferences.A common web-based assessment tool used by all REU programs funded by the Division of Biological Infrastructure (BIO) will be used to determine the effectiveness of the training program. Students will be tracked after the program is completed to determine student 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 at http://ccib.camden.rutgers.edu/reu/, or by contacting the PI (Dr. Benedetto Piccoli at piccoli@camden.rutgers.edu) or Co-PI (Dr. Joe Martin at joe.martin@camden.rutgers.edu).
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