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19th Annual SIGART/AAAI Doctoral Consortium

19th Annual SIGART/AAAI Doctoral Consortium
第 19 届年度 SIGART/AAAI 博士联盟
批准号:
1444754
负责人:
Matthew Taylor
金额:
$1.76万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-05-15 至 2015-04-30

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中文摘要
翻译
为参加第19届SIGART/AAAI博士生联盟的部分学生提供学生旅行支持。 AAAI(Association for the Advancement of Artificial Intelligence,人工智能促进协会)是人工智能的主要专业协会。 今年,它在加拿大魁北克市举行年度会议,该DC也将在那里举行。 在博士联盟(DC),正在从事人工智能相关主题工作的博士生提出他们的研究建议,并从一个由知名研究人员组成的小组以及其他学生参与者那里获得反馈。 这为学生提供了宝贵的接触到外部的观点对他们的工作在他们的研究的关键时刻,也使他们能够探索自己的职业目标。DC程序包括互动会议的反馈论文主题从当局在该领域,合作建设会议,早期的职业建议,以及良好的网络机会。 它是今年举行的几个重要的地点,共同举办的会议:第28届AAAI人工智能会议(AAAI-14),第五届人工智能教育进展研讨会(EAAI-14),和认知科学学会(CogSCI-14)的第36次会议。 参与这样的博士指导机会,可以提高吸引那些由于缺乏习惯或资源而可能没有参加人工智能会议的参与者的潜力。对于那些在较小的机构和那些人工智能程序不太发达的机构来说,尤其如此。吸引这些参与者有可能吸引更多的人才进入人工智能研究,在形成阶段改进研究思路,并在与智能系统相关的学科范围内开展合作。
英文摘要
Support to student travel for select students participating in the 19th Annual SIGART/AAAI Doctoral Consortium. AAAI (Association for the Advancement of Artificial Intelligence) is the major professional association for AI. This year it holds its yearly conference in Quebec City, Canada, where this DC will also take place. At the Doctoral Consortium (DC), PhD students who are pursuing work on AI-related topics present their proposed research and receive feedback from a panel of established researchers, as well as from other student participants. This provides the students with invaluable exposure to outside perspectives on their work at a critical time in their research and also enables them to explore their career objectives.The DC program includes interactive sessions for feedback on dissertation topics from authorities in the field, collaboration-building sessions, early career advice, and well-placed networking opportunities. It is held this year in the venue of several important, co-located conferences: 28th AAAI Conference on Artificial Intelligence (AAAI-14), the 5th Symposium on Educational Advances in Artificial Intelligence (EAAI-14), and the 36th meeting of the Cognitive Science Society (CogSCI-14). Participation in a doctoral mentoring opportunity such as this one raises the potential to bring in participants who might not have attended an AI conference out of lack of habit or resources. This is especially true for those at smaller institutions and those which have less developed AI programs. Engaging such participants has the potential to draw more talent into AI research, improve research ideas in their formative stage, and engender collaborations across the breadth of disciplines associated with intelligent systems.
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