Conference review: the 2000 SIGART/AAAI doctoral consortium

M. Bienkowski
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Abstract

T he fifth annual SIGART/AAAI Doctoral Consortium was held in August 2000 during the 17th National Conference on Artificial Intelligence, sponsored by the American Association for Artificial Intelligence (AAAI). At the consortium, doctoral students in artificial intelligence (AI) presented their proposed research and received feedback from a panel of researchers and other students. This provided the students with exposure to outside perspectives on their work at a critical time in their research and allowed them to explore their career objectives. Free-ranging discussion sessions were also held, covering topics such as the relative benefits of academic versus industry careers; proposal writing; balancing research and teaching; and resisting pressure to leave school without finishing their doctorates. The students also participated in the student poster session, held during the AAAI-2000 /IAAI-2000 Technical Paper Poster Session, and attended social events with the panelists. Altogether, the intensive, 2-day event and continuing contact during the AAAI conference afforded great opportunities for networking and getting to know peers. Twelve students—four women and eight men—presented their work (gender was not considered by the review committee). Nine attend universities in the United States, one in Taiwan, and two in Canada. Their research represents a variety of subfields of AI, ranging from machine learning techniques to knowledge representation. In keeping with the move to integrate AI basic research and applications (highlighted by the merging of AAAI and IAAI), two students presented research focused on applications. Panelists Six distinguished panelists participated in the consortium. Feedback from the students showed that they found the panelists' comments and discussion to be valuable and constructive. The panelists were Marie Reviewing The 12 participants were chosen from 14 submissions. Students were selected who had settled on their thesis focus but who still had significant research remaining. Students were selected on the basis of the clarity and completeness of their submission, their advisor's letter, and other evidence of promise such as published papers and technical reports. Although unusually low in number, the quality of the submissions was very high. The review committee consisted of
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会议回顾:2000年SIGART/AAAI博士联盟
第五届SIGART/AAAI博士联盟于2000年8月在第17届全国人工智能会议期间举行,由美国人工智能协会(AAAI)主办。在该联盟中,人工智能(AI)的博士生展示了他们的研究计划,并收到了研究人员和其他学生的反馈。这让学生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。会议还举行了自由的讨论环节,讨论的主题包括学术与行业职业的相对优势;建议写作;平衡研究与教学;并且顶住不完成博士学位就离开学校的压力。学生们还参加了在AAAI-2000 /IAAI-2000技术论文海报会议期间举行的学生海报会议,并与小组成员一起参加了社会活动。总之,为期两天的密集活动和AAAI会议期间的持续接触为建立网络和了解同行提供了很好的机会。12名学生——4名女性和8名男性——展示了他们的作品(审查委员会不考虑性别)。其中9人在美国上大学,1人在台湾,2人在加拿大。他们的研究代表了人工智能的各个子领域,从机器学习技术到知识表示。为了与人工智能基础研究和应用的整合保持一致(以AAAI和IAAI的合并为重点),两名学生介绍了专注于应用的研究。六名杰出的专家参加了该联盟。学生的反馈显示,他们认为小组成员的评论和讨论是有价值和建设性的。12名参与者是从14份参赛作品中选出的。学生被挑选出来,他们已经确定了他们的论文重点,但仍然有重要的研究剩余。学生的选择是基于他们提交的清晰和完整,他们的导师的信,以及其他有希望的证据,如发表的论文和技术报告。虽然提交的作品数量少得异乎寻常,但质量却非常高。审查委员会由
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