WORKSHOP: Doctoral Consortium at AAAI Conference on Human Computation & Crowdsourcing (HCOMP 2018)

该补助金支持来自美国的8名有前途的博士生的参与-基于教育机构的博士生联盟（研讨会），沿着约6名杰出的研究人员，将与第六届AAAI人类计算众包会议（HCOMP 2018）一起举行，该会议将于2018年7月5日至8日在瑞士苏黎世举行，由人工智能促进协会赞助。 HCOMP是传播关于众包和人类计算的最新研究成果的首要场所。 虽然人工智能（AI）和人机交互（HCI）代表了这个跨学科会议的传统支柱，但HCOMP坚信邀请，培养和促进广泛的跨学科研究。 有关会议的更多信息可在http://www.humancomputation.com/2018/上查阅。 博士联盟将是一个以研究为重点的全天会议，紧接着7月8日的会议技术计划。 它将通过培养一批对人类计算和众包感兴趣的有前途的年轻研究人员，加强这一新兴研究领域的科学工作者队伍，使他们能够：参加会议;了解学术界和工业界的潜在职业道路;进入能够支持其专业发展的国际研究人员网络;并亲眼目睹人类计算研究的跨学科性质、多样性和相互关系。 教师导师也将担任学生申请的审查委员会。组织者将促进多样性，从任何一所学校选择不超过一两名学生，并优先选择妇女和代表性不足的少数民族。 全天的博士生联盟将包括指导这些有前途的年轻研究人员的研究的活动。该联盟将允许参与者与既定的研究人员和其他学生进行互动，通过演讲，问答环节，小组讨论，并邀请演讲。每位参与者将对他们的研究进行简短的介绍，并将收到至少一位教师导师和同学的反馈。反馈将面向帮助学生参与者理解和阐明他们的研究相对于人类计算和众包的其他工作如何定位。 由教师领导的活动将包括一个小组讨论，让学生更多地了解学术界和工业界的研究和生活的过程和教训。为了进一步将博士生联盟的参与者融入会议本身，学生将有机会在互动海报会议上展示他们的工作，他们的论文将在研讨会网页上在线发布。这些活动将使参加者受益，因为他们可以从自己机构以外的研究人员（包括教师和其他学生）那里获得关于他们工作的新的观点和评论;为参加者提供一个相互反馈目前研究情况和指导未来研究方向的支持性环境;该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的学术价值和更广泛的影响评审标准。

This grant supports participation of 8 promising doctoral students from U.S.-based educational institutions in a Doctoral Consortium (workshop), along with about 6 distinguished research faculty, to be held in conjunction with the 6th AAAI Conference on Human Computation & Crowdsourcing (HCOMP 2018), which will take place July 5-8 2018, in Zurich, Switzerland, and which is sponsored by the Association for the Advancement of Artificial Intelligence. HCOMP is the premier venue for disseminating the latest research findings on crowdsourcing and human computation. While artificial intelligence (AI) and human-computer interaction (HCI) represent traditional mainstays of this cross-disciplinary conference, HCOMP believes strongly in inviting, fostering, and promoting broad, interdisciplinary research. More information about the conference is available online at http://www.humancomputation.com/2018/. The Doctoral Consortium will be a research-focused full-day meeting immediately following the conference technical program on July 8. It will enhance the scientific workforce in this emerging research area by nurturing a group of promising young investigators interested in human computation and crowdsourcing, allowing them: to attend the conference; to learn of potential career paths within academia and industry; to access an international network of researchers who can support their professional development; and to see firsthand the interdisciplinary nature, diversity and interrelationships of research in human computation. The faculty mentors also will serve as the review committee for student applications. The organizers will promote diversity by selecting no more than one or two students from any one school, and by prioritizing the selection of women and underrepresented minorities. The full-day Doctoral Consortium will include activities to guide the research of these promising young researchers. The Consortium will allow participants to interact with established researchers and with other students, through presentations, question-answer sessions, panel discussions, and invited presentations. Each participant will give a short presentation on their research and will receive feedback from at least one faculty mentor and from fellow students. The feedback will be geared toward helping the student participants understand and articulate how their research is positioned relative to other work on human computation and crowdsourcing. Activities led by the faculty will include a panel discussion to give students more information about the process and lessons of research and life in academia and industry. To further integrate the Doctoral Consortium participants into the conference itself, students will have a chance to present their work in an interactive poster session, and their papers will be posted online on the workshop webpage. These activities will benefit the participants by offering each fresh perspectives and comments on their work from researchers outside their own institution, both from faculty and other students; providing a supportive setting for mutual feedback on participants' current research and guidance on future research directions; and enabling participants to form a cohort of new researchers.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.