NSF Student Travel Grant for the 2019 IEEE North American School of Information Theory (NASIT 2019)

该项目资助美国学生参加第12届IEEE北美信息理论学院（NASIT）。信息理论研究在许多情况下信息的传输，处理和使用;它借鉴并有助于工程，计算机和数学科学中的大量学科。学生在这个暑期学校提出的研究主题类型和讲师讨论的教程领域，将涵盖基础理论，算法设计和实践中的实施。该旅行奖可以帮助参与的学生更全面地了解信息理论的各个方面，帮助建立他们的专业网络，并丰富他们的研究经验。NASIT是IEEE信息理论学会于2008年发起的年度教育活动，定期有来自北美的60至100名研究生参加。该格式包括几个半天的教程，由来自信息理论社区内部和附近的知名研究人员提供。学生们也有机会展示他们正在进行的研究的海报，并从对方以及辅导演讲者和教师组织者那里获得反馈。大约60名学生将获得部分旅费支持，以支付他们参加这一活动的费用。这一奖项反映了NSF的法定使命，并已被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准的支持。

This project funds U.S. student participation at the 12th annual IEEE North American School for Information Theory (NASIT). Information Theory studies the transmission, processing, and use of information in many contexts; it draws from and contributes to a large number of disciplines in the engineering, computer, and mathematical sciences. The types of research topics presented by students at this summer school and the tutorial areas discussed by lecturers, will span foundational theory, algorithmic design, and implementation in practice. This travel award can help the participating students get a fuller understanding of the various facets of information theory, helping build out their professional networks and enrich their research experience overall.NASIT is an annual educational event initiated in 2008 by the IEEE Information Theory Society, and regularly involves between 60 to 100 graduate student participants from across North America. The format consists of several half-day tutorials delivered by high-profile researchers from within and adjacent to the information theory community. Students are also given an opportunity to present posters of their ongoing research and receive feedback from each other as well as tutorial speakers and faculty organizers. Approximately 60 students will receive partial travel support to cover their costs of attending this event.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.