Travel: Student Support for the 2023 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)

旅行：2023 年 ACM SIGKDD 知识发现和数据挖掘会议 (KDD 2023) 的学生支持

• 批准号: 2323492
• 负责人: Agoritsa Polyzou
• 金额: $ 2.5万
• 依托单位: Florida International University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2024-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2323492&HistoricalAwards=false
• 关键词: Travel; Student; Support; 2023; ACM

This project provides support for 25 U.S.-based graduate students to participate in the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), to be held in Long Beach, California, August 6-10, 2023. KDD is one of the premier conference in data mining, data science, and knowledge discovery in the world. It is a prestigious interdisciplinary conference that brings together researchers and practitioners every year, over 3,000 in recent years. KDD covers topics in the data mining lifecycle (including algorithms, software, systems, and applications), as well as artificial intelligence, machine learning, data management, and information retrieval. Students participating in the conference are exposed to the latest research developments and can attend hands-on workshops, tutorials, eye-opening keynotes, and presentations. A strong representation of U.S. students and researchers is essential in maintaining U.S. competitiveness in these important areas today and into the future. As in various STEM fields, increasing the diversity of participants in KDD research areas is an important goal. Since 2013, the KDD conference includes a Broadening Participation in Data Mining workshop. The selection committee will select recipients of the support based on merit and need while striving for diversity in the selection process. As an interdisciplinary conference, KDD attracts researchers and practitioners from academia, industry, and governments who work on all aspects of data mining and data science problems. It includes a highly competitive 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. The conference places special emphasis on supporting students through training and mentoring by offering both undergraduate and doctoral student consortiums. These will provide a comprehensive multi-facet learning experience for students at all levels. This grant aims to help U.S.-based students overcome financial barriers that may prevent them from attending the conference. The award will be advertised on different sites and social media platforms, and the results will be announced on the KDD 2023 website (https://www.kdd.org/kdd2023/).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.

该项目为25名美国研究生提供了支持，他们参加了第29届ACM SIGKDD知识发现与数据挖掘会议（KDD 2023），该会议将于8月6日至10日在加利福尼亚州长滩举行，2023年8月6日至10日。KDD是数据挖掘，数据科学和知识发现的主要会议之一。这是一次享有声望的跨学科会议，近年来每年将研究人员和从业人员汇集在一起​​。 KDD涵盖了数据挖掘生命周期（包括算法，软件，系统和应用程序）的主题，以及人工智能，机器学习，数据管理和信息检索。参加会议的学生接触了最新的研究发展，可以参加动手的讲习班，教程，开眼界的主题演讲和演讲。美国学生和研究人员的强有力代表对于在当今和未来保持美国的竞争力至关重要。与各种茎领域一样，增加KDD研究领域参与者的多样性是一个重要目标。自2013年以来，KDD会议包括扩大参与数据挖掘研讨会的参与。选拔委员会将根据优点和需求选择支持者，同时在选择过程中争取多样性。作为跨学科会议，KDD吸引了从事数据挖掘和数据科学问题各个方面的学术界，行业和政府的研究人员和从业人员。它包括一项竞争激烈的技术计划，并定期以口头和海报演示的形式进行同行评审的论文，以及小组讨论和学术界和行业领先专家的邀请演讲。会议特别强调通过提供本科和博士生联盟来通过培训和指导来支持学生。这些将为各级学生提供全面的多面学习经验。该赠款旨在帮助美国的学生克服可能阻止他们参加会议的财务障碍。该奖项将在不同的网站和社交媒体平台上进行宣传，结果将在KDD 2023网站（https://www.kdd.org/kdd2023/)..this奖中宣布，这反映了NSF的法规使命，并认为通过基金会的知识优点和广泛的critia criters criter critia criter critia criteria criteria criteria criteria criteria criteria criteria criteria criteria criteria criteria criteria criteria均值得一提。