Association for the Advancement of Artificial Intelligence (AAAI)-2017 Doctoral Consortium
Association for the Advancement of Artificial Intelligence (AAAI)-2017 Doctoral Consortium
批准号:
1733465
负责人:
David Aha
金额:
$1.61万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-03-15 至 2017-08-31
中文摘要
为参加第22届AAAI/SIGAI博士联盟(DC)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,它在加利福尼亚州的旧金山举行了年度会议,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。参与像这样的博士导师机会,扩大了那些可能因为缺乏习惯或资源而没有参加人工智能会议的人的参与。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。
英文摘要
Support for student travel for select students participating in the 22nd AAAI/SIGAI Doctoral Consortium (DC). AAAI (Association for the Advancement of Artificial Intelligence) is the major professional association for AI. This year it holds its yearly conference in San Francisco, CA, 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. Participation in a doctoral mentoring opportunity such as this broadens participation to those 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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