19th Annual SIGART/AAAI Doctoral Consortium

为参加第 19 届年度 SIGART/AAAI 博士联盟的精选学生提供学生旅行支持。 AAAI（人工智能促进协会）是人工智能领域的主要专业协会。 今年，它在加拿大魁北克市举行了年度会议，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展示他们提出的研究，并从知名研究人员小组以及其他学生参与者那里获得反馈。 这为学生在研究的关键时刻提供了宝贵的接触外部观点的机会，也使他们能够探索自己的职业目标。DC 项目包括互动会议，以获取该领域权威人士对论文主题的反馈、合作建设会议、早期职业建议和良好的社交机会。 今年，多个重要的同地会议在同一地点举行：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) 和第 36 届认知科学学会会议 (CogSCI-14)。 参加像这样的博士指导机会，有可能吸引那些因缺乏习惯或资源而没有参加人工智能会议的参与者。对于规模较小的机构和人工智能项目开发程度较低的机构来说尤其如此。让这些参与者参与进来有可能吸引更多的人才参与人工智能研究，改进形成阶段的研究想法，并在与智能系统相关的各个学科领域建立合作。

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.