REU Site: Big Data Science and Science Communication

REU 网站：大数据科学与科学传播

• 批准号: 1950024
• 负责人: Christine Queitsch
• 金额: $ 40.51万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1950024&HistoricalAwards=false
• 关键词: REU; Site; Big; Data; Science

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, [e-mail]), or the co-PI (Dr. Lesiak, [e-mail]).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.

这个REU网站奖给位于华盛顿州西雅图的华盛顿大学基因组科学系，将支持10名学生在2020-2022年夏季进行为期10周的培训。预计共有30名学生，来自美国各地的研究机会有限和/或来自代表性不足的少数群体将参加。学生将学习如何进行研究，并将在UW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。学生将离开程序与相关的生物科学编程方法的经验，增强科学沟通技巧，以及如何在科学导航自己的职业生涯的更大的意识。该项目的评估将通过在线SALG URSSA工具完成，学生将在项目结束后进行跟踪，以确定他们的职业道路。夏季研究项目提供了机会，通过与华盛顿大学基因组学和蛋白质组学领域的领先研究人员合作，获得杰出的研究经验。该计划将通过大数据分析和计算生物学引入广泛的研究问题，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。该计划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，讲述他们作为博士申请科学家的个人旅程，并培养如何与公众交流科学原理的技能。有竞争力的申请人将有一些大学水平的科学课程。鼓励以本科院校为主的申请人申请。不需要以前的编程经验，因为所有学生都将在学习了与生物数据集相关的入门编程概念后离开该课程。对计算生物学实验室感兴趣的申请人将被要求已经采取了大学水平的微积分，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PI（Queitsch博士，[e-mail]）或co-PI（Lesiak博士，[e-mail]）。该奖项反映了NSF的法定使命，并被认为值得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来支持。