III: Student Travel to Workshop on Intelligent Systems for Supporting Distributed Human Teamwork

III：学生前往支持分布式人类团队合作的智能系统研讨会

• 批准号: 1624673
• 负责人: Barbara Grosz
• 金额: $ 1.5万
• 依托单位: Association for the Advancement of Artificial Intelligence
• 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: 2016-03-15 至 2017-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1624673&HistoricalAwards=false
• 关键词: III; Student; Travel; Workshop; Intelligent

This award will support the travel and housing expenses of students selected to participate in the AAAI Spring Symposium on Intelligent Systems for Supporting Distributed Human Teamwork, which will be held on March 21-23, 2016, in Palo Alto, California. The symposium is part of the annual AAAI Spring Symposia series. The symposium will bring together researchers studying teamwork in different fields, including artificial intelligence, human-computer interaction, and the social sciences. For student participants, this experience will provide a unique opportunity to interact with researchers from multiple disciplines and learn about research in different fields. Students will receive feedback on their own research and will work closely with senior researchers and other students to shape a new research agenda for the development of intelligent systems for supporting human teamwork. The symposium will be a starting point for forming a new cross-disciplinary community of researchers who are interested in the development of intelligent systems for supporting teamwork. New approaches and systems for supporting teamwork are needed for supporting increasingly more complex distributed teamwork in such areas as healthcare, education and disaster relief.

该奖项将支持被选中参加 AAAI 支持分布式人类团队合作智能系统春季研讨会的学生的交通和住宿费用，该研讨会将于 2016 年 3 月 21 日至 23 日在加利福尼亚州帕洛阿尔托举行。该研讨会是年度 AAAI 春季研讨会系列的一部分。该研讨会将汇集人工智能、人机交互和社会科学等不同领域研究团队合作的研究人员。对于学生参与者来说，这种经历将提供一个独特的机会，与来自多个学科的研究人员互动并了解不同领域的研究。学生将收到有关自己研究的反馈，并将与高级研究人员和其他学生密切合作，制定新的研究议程，以开发支持人类团队合作的智能系统。此次研讨会将成为形成一个新的跨学科研究人员社区的起点，这些研究人员对开发支持团队合作的智能系统感兴趣。需要新的方法和系统来支持团队合作，以支持医疗保健、教育和救灾等领域日益复杂的分布式团队合作。