REU Site: Big Data Science and Science Communication

该REU SITE奖授予华盛顿州西雅图的华盛顿大学基因组科学系，将支持2020-2022年夏季为期10周的10名学生的培训。预计总共将有30名学生参加，他们来自全美各地研究机会有限的学生和/或来自代表性较低的少数群体。学生们将学习研究是如何进行的，并将在威斯康星大学的海报会议上展示他们的发现。此外，许多学生将在科学会议上展示他们的研究成果。学生毕业后将获得与生物科学相关的编程方法的经验，增强的科学交流技能，并更好地意识到如何在科学中驾驭自己的职业生涯。该计划将通过在线SALG Urssa工具进行评估，并在计划结束后对学生进行跟踪，以确定他们的职业道路。暑期研究计划通过与华盛顿大学基因组和蛋白质组领域的领先研究人员合作，提供获得杰出研究经验的机会。该项目将介绍通过大数据分析和计算生物学获得的广泛的研究问题、应用和职业机会。研究项目涵盖人类和模式生物遗传学、基因组学、计算生物学和蛋白质组学。该项目将培养学生成为更有效的沟通者。他们将学习如何与其他科学家分享他们的研究成果，讲述他们作为科学家在博士申请中的个人旅程，并发展如何与公众交流科学原理的技能。竞争激烈的申请者将拥有一些大学水平的理科课程。鼓励来自以本科为主的院校的申请者申请。之前的编程经验不是必需的，因为所有的学生都将在离开课程时学习到与生物数据集相关的入门编程概念。对计算生物学实验室感兴趣的申请者应该学习过大学水平的微积分，并具有基本的编程技能。有关该计划的更多信息，请访问https://www.gs.washington.edu/academics/summer/gssummer/index.htm，，或联系国际和平组织(Dr.Queitsch，Queitsch@u.washington.edu)或联合国际组织(Dr.Lesiak，alesiak@uw.edu)。该奖项反映了美国国家科学基金会的法定使命，并已通过使用基金会的智力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 the Genome Sciences Department at the University of Washington, located in Seattle, WA, will support the training of 10 students for 10 weeks during the summers of 2020-2022. It is anticipated that a total of 30 students, from across the United States with limited research opportunities and/or from an underrepresented minority group will participate. Students will learn how research is conducted and will present their findings at a poster session at UW. In addition, many students will present their research at scientific conferences. Students will leave the program with experience in programming methods related to biological sciences, enhanced science communication skills, and greater awareness of how to navigate their careers in science. Assessment of the program will be done thru the online SALG URSSA tool, and students will be tracked after the program in order to determine their career paths.The summer research program provides opportunities to gain outstanding research experience by working with leading researchers in the field of genomics and proteomics at the University of Washington. The program will introduce a wide range of research questions, applications, and career opportunities accessible through big data analysis and computational biology. Research projects span human and model organism genetics, genomics, computational biology, and proteomics. This program will train students to be more effective communicators. They will learn how to share their research findings with other scientists, tell their personal journeys as scientists in PhD applications, and develop skills on how to communicate science principles with the general public. Competitive applicants will have had some college-level science coursework. Applicants from predominantly undergraduate institutions are encouraged to apply. Prior experience with programming is not required, as all students will leave the program having learned introductory programming concepts related to biological datasets. Applicants interested in computational biology labs will be expected to have taken college-level calculus and have basic programming skills. More information about the program is available by visiting https://www.gs.washington.edu/academics/summer/gssummer/index.htm, or by contacting the PI (Dr. Queitsch, queitsch@u.washington.edu), or the co-PI (Dr. Lesiak, alesiak@uw.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.