SODA 2016 Travel Grant

SODA 2016 旅行补助金

• 批准号: 1564184
• 负责人: Clifford Stein
• 金额: $ 1.5万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-02-01 至 2017-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1564184&HistoricalAwards=false
• 关键词: SODA; 2016; Travel; Grant

This award will help support student and postdoctoral attendance at the Annual ACM/SIAM Symposium on Discrete Algorithms Science (SODA) 2016, in Arlington, VA on January 10 to 12, 2016. SODA is co-sponsored by the Association for Computing Machinery (ACM) and the Society for Industrial and Applied Mathematics (SIAM) . SODA is the premier annual research conference in the field of discrete algorithms and one of the three premier conferences in theoretical computer science. SODA has been meeting annually since 1990 and in a typical year has over 300 attendees. It is co-located with two smaller workshops, ALENEX (Meeting on Algorithm Engineering and Experimentation) and ANALCO (Meeting on Analysis of Algorithms). SODA is attended by researchers from all over the world. The field of algorithms is a vibrant one, with high participation rates from young researchers, and many papers with student authors. For these student authors and student attendees, the conference serves as a valuable educational experience, both for the technical content of the talks and for the opportunities for networking that it provides.The award will provide partial support to approximately twenty students, partly defraying the cost of travel and lodging. Efforts will be made to support students from under-represented groups.

该奖项将有助于支持学生和博士后出席2016年1月10日至12日在弗吉尼亚州阿灵顿举行的2016年离散算法科学年度ACM/SIAM研讨会（SODA）。 SODA由计算机协会（ACM）和工业与应用数学学会（SIAM）共同赞助。 SODA是离散算法领域最重要的年度研究会议，也是理论计算机科学领域三大重要会议之一。自1990年以来，SODA每年举行一次会议，通常每年有300多名与会者。 它与两个较小的研讨会位于同一地点，ALENEX（算法工程和实验会议）和ANALCO（算法分析会议）。 SODA由来自世界各地的研究人员参加。 算法领域是一个充满活力的领域，年轻研究人员的参与率很高，许多论文都是学生作者。对于这些学生作者和学生与会者来说，会议是一个宝贵的教育经验，无论是演讲的技术内容还是它提供的网络机会。该奖项将为大约20名学生提供部分支持，部分支付旅行和住宿费用。将努力支持代表性不足群体的学生。