NSF Student Travel Grant for the 2022 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022)

NSF 学生旅费资助 2022 年 ACM SIGKDD 知识发现和数据挖掘会议 (KDD 2022)

• 批准号: 2223561
• 负责人: Yue Ning
• 金额: $ 2.5万
• 依托单位: Stevens Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-15 至 2024-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2223561&HistoricalAwards=false
• 关键词: NSF; Student; Travel; Grant; 2022

This grant provides support for 25 U.S.-based graduate students to participate in the 28th ACM SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2022), which will be held in Washington D.C. from August 14 -18, 2022. KDD is an annual conference that presents the world's premier research in data mining. In the past, the total number of KDD participants has been in excess of 3000. The conference covers topics in the data mining lifecycle, including algorithms, software and systems, and applications. The conference will also focus on related areas such as artificial intelligence, machine learning, data management, and information retrieval. The selection committee will select recipients of the support based on merit and need and place particular emphasis on diversity in the selection process.As an interdisciplinary conference, KDD brings together researchers and practitioners from academia, industry, and governments who work on all aspects of data mining and data science problems. The conference is highly competitive and focuses on training and mentoring students. It includes a technical program with regular peer-reviewed papers in the form of oral and poster presentations, as well as panel discussions and invited talks by leading experts in academia and industry. Besides the technical program, the conference features activities such as workshops, tutorials, panels, posters, project showcases. These will provide a comprehensive multi-facet learning experience to students at all levels. The award will be advertised and the results will be announced at the KDD 2022 website (https://www.kdd.org/kdd2022/) as well as various data mining mailing lists.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.

这笔赠款为 25 名美国研究生提供支持，以参加第 28 届 ACM SIGKDD 知识发现和数据挖掘会议 (KDD 2022)，该会议将于 2022 年 8 月 14 日至 18 日在华盛顿特区举行。KDD 是展示世界顶级数据挖掘研究的年度会议。过去，KDD参与者总数已超过3000人。会议涵盖了数据挖掘生命周期的主题，包括算法、软件和系统以及应用程序。会议还将重点讨论人工智能、机器学习、数据管理和信息检索等相关领域。评选委员会将根据优点和需求来选择支持的接受者，并特别强调选择过程的多样性。作为一个跨学科会议，KDD 汇集了来自学术界、工业界和政府的研究人员和从业者，他们致力于数据挖掘和数据科学问题的各个方面。该会议竞争激烈，重点是培训和指导学生。它包括一个技术计划，定期以口头和海报展示的形式发表同行评审论文，以及学术界和工业界领先专家的小组讨论和邀请演讲。除了技术议程外，会议还举办研讨会、教程、小组讨论、海报、项目展示等活动。这些将为各个级别的学生提供全面的多方面学习体验。该奖项将在 KDD 2022 网站 (https://www.kdd.org/kdd2022/) 以及各种数据挖掘邮件列表上进行广告宣传和结果公布。该奖项反映了 NSF 的法定使命，并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。