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

该基金将支持25名美国研究生参加将于2022年8月14日至18日在华盛顿特区举行的第28届ACM SIGKDD知识发现和数据挖掘会议（KDD 2022）。KDD是一个年度会议，展示了世界上最重要的数据挖掘研究。过去，参加KDD的总人数超过3000人。会议涵盖了数据挖掘生命周期中的主题，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。遴选委员会将根据申请人的优点和需要来挑选受助人，并在遴选过程中特别强调多样性。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实践者，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。它包括一个技术项目，定期以口头和海报展示的形式进行同行评审论文，以及由学术界和工业界的主要专家进行小组讨论和邀请演讲。除了技术项目，会议还包括研讨会、教程、小组讨论、海报、项目展示等活动。这些课程将为各个层次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公布。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识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 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.