19th Annual SIGART/AAAI Doctoral Consortium

为参加第19届年度SIGART/AAAI博士联盟的部分学生提供旅行支持。AAAI(人工智能促进会)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了年度会议，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交他们提出的研究建议，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机会，让他们在研究的关键时刻接触到外界对他们工作的看法，并使他们能够探索自己的职业目标。DC计划包括互动会议，以获得该领域权威人士对论文主题的反馈，协作建设会议，早期职业建议，以及良好的网络机会。今年在几个重要的共址会议的会场举行：第28届AAAI人工智能大会(AAAI-14)，第五届人工智能教育进展研讨会(EAAI-14)，以及认知科学学会第36届会议(CogSCI-14)。参与像这次这样的博士导师机会，可能会带来一些参与者，他们可能因为缺乏习惯或资源而没有参加人工智能会议。对于那些在较小机构工作的人和那些人工智能程序开发程度较低的人来说，情况尤其如此。让这些参与者参与进来，有可能将更多的人才吸引到人工智能研究中，在他们的形成阶段改进研究想法，并在与智能系统相关的广泛学科中产生合作。

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.