WORKSHOP: Doctoral Consortium at HCOMP 2017

这笔资金将用于支持来自美国教育机构的至少8名有前途的博士生沿着杰出的研究人员一起参加博士联盟（研讨会），该研讨会将与第五届AAAI人类计算众包会议一起举行&（HCOMP 2017），将于10月24日至26日在加拿大魁北克市举行，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。 该领域所借鉴和贡献的各种学科，从以人为本的定性研究和人机交互设计，到计算机科学和人工智能，经济学和社会科学，一直到数字人文，政策和伦理学。 有关会议的更多信息可在http://www.humancomputation.com/2017/上查阅。 博士联盟将是一个以研究为重点的全天会议，紧接着会议之前，10月23日。 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来加强这一新兴研究领域的科学工作者。该奖项还将允许这些年轻的研究人员参加HCOMP 2017会议，从而使他们能够：与其他研究人员和会议活动互动;了解学术界和工业界的潜在职业道路;访问可以支持其专业发展的研究人员的国际网络;并观察人类计算研究的跨学科性质，多样性和相互关系。 博士生联盟主席将选择多达6个额外的杰出研究人员担任教师导师;这个小组也将作为学生申请的审查委员会。学生将被接受的基础上给出了学生的论文研究的概述，为什么学生想参加博士联盟，简历，并从学生的顾问支持信的解释。组织者将优先考虑最需要指导和加入同龄人小组的学生。 此外，组织者将促进选定学生的多样性，从任何一所学校中选择不超过一名或两名学生，并优先选择妇女和代表性不足的少数群体。 根据CISE政策，NSF资金将仅用于支持来自美国的学生-全日制博士生联合会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。 反馈还将解决学生的主题是否充分集中于论文研究项目，他们的方法是否正确选择和应用，以及他们的结果是否得到适当的分析和呈现。 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作品，他们的论文将在研讨会网页上在线发布。这些活动将使参与者受益，为他们提供自己机构以外的研究人员（包括教师和其他学生）对他们工作的新观点和评论;为参与者提供一个支持性的环境，以相互反馈他们目前的研究和指导未来的研究方向;并使参与者能够形成一个新的研究人员群体。

This is funding to support participation of at least 8 promising doctoral students from U.S. educational institutions at a Doctoral Consortium (workshop)along with distinguished research faculty, to be held in conjunction with the 5th AAAI Conference on Human Computation & Crowdsourcing (HCOMP 2017), which will take place October 24-26 in Quebec City, Canada, 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. The diverse disciplines the field draws upon, and contributes to, range from human-centered qualitative studies and HCI design, to computer science and artificial intelligence, economics and the social sciences, all the way to digital humanities, policy, and ethics. More information about the conference is available online at http://www.humancomputation.com/2017/. The Doctoral Consortium will be a research-focused full day meeting that immediately precedes the conference, on October 23. 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. The award will also allow these young researchers to attend the HCOMP 2017 conference, thereby allowing them: to interact with other researchers and conference events; 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 observe the interdisciplinary nature, diversity and interrelationships of research in human computation. The Doctoral Consortium Chairs will select up to 6 additional distinguished researchers to serve as faculty mentors; this group also will serve as the review committee for student applications. Students will be accepted based on a paper giving an overview of the student's dissertation research, an explanation of why the student wants to participate in the Doctoral Consortium, a CV, and a letter of support from the student's advisor. The organizers will give preference to students who are most in need of mentoring and joining a peer group. Moreover, the organizers will promote diversity among the selected students by selecting no more than one or two students from any one school, and by prioritizing the selection of women and underrepresented minorities. In accordance with CISE policy, NSF funds will only be used to support students from U.S.-based educational institutions.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. The feedback will also address whether the students' topics are adequately focused for thesis research projects, whether their methods are correctly chosen and applied, and whether their results are being appropriately analyzed and presented. 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 as posters 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.