REU Site: Interdisciplinary Program in Multi-scale Biological Networks

这个REU网站奖威廉马什赖斯大学，位于德克萨斯州休斯顿，将支持10名学生每年10周的培训期间，2023年至2025年的夏天。预计共有30名学生将接受该方案的培训，这些学生主要来自研究机会有限的学校和/或代表性不足的群体的成员，重点是在附近为少数群体服务的机构，包括社区学院和四年制机构就读的学生。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。学生将进行跨学科项目的研究，由来自各个科学和工程学科的导师指导。在课程结束时，学生将更好地了解生物网络如何工作。该计划的评估将通过在线SALG URSSA工具完成。学生将在课程结束后进行跟踪，以监控他们的职业道路。NSF ETAP系统将用于注册参与者（https：//www.nsfetap.gov/）。该REU计划将使学生了解不同科学，技术，工程和数学（STEM）学科对详细了解生命系统作为集成网络所做的贡献。学生将在实验室工作，从一系列的方法-从经典的生物化学和遗传学到复杂的理论建模。研究领域包括：（i）生物分子结构、功能和进化，（ii）自然发生的遗传网络，（iii）合成生物学和代谢网络，以及（iv）生态网络。参与教师导师将来自一系列部门，包括生物科学，生物工程，化学生物分子工程，化学和计算机科学。学生还将参加研讨会，重点是道德和负责任的研究行为，专业沟通，研究生院申请过程，等等。申请该计划将需要成绩单，简历，研究声明和两封推荐信。参与者将由一个教师委员会选出，该委员会将根据STEM课程的卓越表现和对研究的兴趣来评估学生与该计划的一致性。有关该计划的更多信息，请访问https://ibb.rice.edu/nsf-reu-bionetworks或联系PI（Kirienko博士，kirienko@rice.edu）或co-PI（Silberg博士，joff@rice.edu）。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This REU Site award to William Marsh Rice University, located in Houston, TX, will support the training of 10 students each year for 10 weeks during the summers of 2023-2025. It is anticipated that a total of 30 students, primarily from schools with limited research opportunities and/or members of under-represented groups, with an emphasis on students enrolled at proximal minority-serving institutions, including community colleges and four-year institutions, 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. Students will conduct research in interdisciplinary projects, guided by mentors from various science and engineering disciplines. At the end of the program, students will have a better understanding of how biological networks work. Assessment of the program will be done thru the online SALG URSSA tool. Students will be tracked after the program to monitor their career paths. NSF ETAP system will be used to register participants (https://www.nsfetap.gov/).This REU program will expose students to the contributions made by different science, technology, engineering, and math (STEM) disciplines toward the detailed understanding of living systems as integrated networks. Students will work in laboratories that draw from an array of approaches - from classical biochemistry and genetics to complex theoretical modeling. Research areas include: (i) biomolecular structure, function, and evolution, (ii) naturally-occurring genetic networks, (iii) synthetic biology and metabolic networks, and (iv) ecological networks. Participating faculty mentors will be from a range of departments including the Biosciences, Bioengineering, Chemical & Biomolecular Engineering, Chemistry, and Computer Science. Students will also participate in workshops focusing on ethics and the responsible conduct of research, professional communication, the graduate school application process, and more. Application to the program will require a transcript, resume, research statement, and two letters of recommendation. Participants will be selected by a faculty committee, which will assess student alignment with the program based on demonstrated excellence in STEM coursework and interest in research. More information about the program is available by visiting https://ibb.rice.edu/nsf-reu-bionetworks or by contacting the PI (Dr. Kirienko at kirienko@rice.edu) or the co-PI (Dr. Silberg at joff@rice.edu).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.