Student Support for the 2020 International Conference on Automated Planning and Scheduling

这笔补助金支持参加2020年10月在法国南希举行的国际自动化计划和排程会议(ICAPS)的博士导师联盟(DMC)以及与会议同时举行的相关暑期学校的部分学生的旅费。ICAPS是人工智能研究人员在完全国际化的研究界举行的首屈一指的国际会议。人工智能承诺在可持续发展、智能电网、医疗保健、针对用户的教育、科学发现和机器人等领域产生广泛的积极社会影响。自动化计划和调度研究是在动态环境中改进决策的核心。DMC创造了机会，让那些可能因为缺乏资源而没有参加人工智能会议的学生参与进来。这将吸引更多的人才进入人工智能研究，在形成阶段改进研究想法，并产生跨学科的合作。这一活动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。该联盟面向那些已经确定了自己的博士课题并刚刚开始独立研究的学生，致力于研究和职业发展。DMC的主要活动包括让学生有机会介绍他们的工作并与他们的同行讨论；与一群确定的高级研究人员互动，寻求博士研究方面的建议；一个职业小组，讨论工业和学术界的职业选择；由指定的导师领导的小组活动；以及与国际人工智能研究社区互动的机会，这可能会导致未来的合作活动。此外，DMC提供教程、研讨会和演示，提供该领域领先研究人员对特定子领域的详细概述。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This grant supports travel for select students participating in the Doctoral Mentoring Consortium (DMC) at the International Conference on Automated Planning and Scheduling (ICAPS) that will be held in October 2020 in Nancy, France and the associated summer school held in conjunction with the conference. ICAPS is the premier international conference for researchers in artificial intelligence research across a fully international research community. Artificial intelligence promises broad positive societal impacts in areas ranging from sustainability, smart grids, health care, user-specific education, scientific discovery, and robotics, to name a few. Automated planning and scheduling research is central to improving decision making in dynamic environments. The DMC creates the opportunity to engage students who might not have attended an AI conference due to lack of resources. This will draw more talent into AI research, improve research ideas in their formative stage, and engender collaborations across the breadth of disciplines. This event provides students with invaluable exposure to outside perspectives on their work at a critical time in their research and enables them to explore their career objectives.This consortium is oriented on research and career development for students who have identified their PhD topics and are just embarking on that independent research. The central activities for the DMC include opportunities for students to present and discuss their work with their peers; interaction with an identified group of senior researchers for advice on Ph.D. research; a career panel to discuss career choices in industry and academia; small group activities led by assigned mentors; and opportunity for interactions with the international research community in AI, which might lead to future collaborative activity. In addition, the DMC affords access to tutorial, workshops, and demonstrations that will provide detailed overviews of specific subfields by leading researchers in the field.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.