Doctoral Consortium Support for ICAPS 2013

博士联盟对 ICAPS 2013 的支持

• 批准号: 1343507
• 负责人: Mark Boddy
• 金额: $ 1.6万
• 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: 2013
• 资助国家: 美国
• 起止时间: 2013-07-01 至 2014-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1343507&HistoricalAwards=false
• 关键词: Doctoral; Consortium; Support; ICAPS; 2013

This grant supports student participation in a doctoral mentoring consortium at the International Conference on Automated Planning and Scheduling (ICAPS). The ICAPS Doctoral Consortium (DC) is a primary method for broadening participation and improving retention of doctoral researchers in the field of automated planning and scheduling. This DC at ICAPS 2013, June 2013 in Rome, Italy, is the eleventh occurrence of the event.This symposium is carrying on a multiyear tradition of holding DCs and summer schools, providing an important venue to encourage students and junior researchers in automated planning and scheduling. Activities include research panel discussions, lunch with mentors, and poster session held as part of the main conference. The DC brings together a broader community of researchers in planning and scheduling, promoting integration with other areas of AI and computer science, and encouraging junior researchers with a more focused attention to this area than is otherwise possible in other venues. Of particular note is the potential to involve participants who might not have attended an AI conference before. This is especially true for those outside of the usual AI research community: those at smaller institutions who use AI in teaching but not in research; those from smaller/liberal arts institutions; and those from institutions that are poorly represented in STEM disciplines.

该基金支持学生参加国际自动化计划与调度会议（ICAPS）的博士指导联盟。ICAPS博士联盟（DC）是在自动化规划和调度领域扩大博士研究人员的参与和提高其保留率的主要方法。2013年6月在意大利罗马举行的ICAPS 2013 DC是该活动的第11届。本次研讨会延续了多年来举办dc和暑期学校的传统，为鼓励学生和初级研究人员进行自动化计划和调度提供了一个重要的场所。活动包括研究小组讨论，与导师共进午餐，以及作为主要会议一部分的海报会议。DC汇集了更广泛的研究人员社区，以规划和调度，促进与其他人工智能和计算机科学领域的整合，并鼓励初级研究人员更专注于该领域，而不是其他场所。特别值得注意的是，可能会有以前没有参加过人工智能会议的参与者参与其中。对于那些通常的人工智能研究社区之外的人来说尤其如此：那些在教学中使用人工智能而不是在研究中使用人工智能的小型机构；来自小型/文科院校的学生；以及那些来自STEM学科代表性不足的机构的学生。