WORKSHOP: Doctoral Consortium at HCOMP 2016

这笔资金将用于支持一个由大约12名有前途的博士生(其中至少8人将来自美国教育机构)以及杰出的研究人员组成的博士生联盟(研讨会)，该联盟将与HCOMP 2016人类计算与众包大会(HCOMP 2016 Conference on Human Computation&Amd；Crowdourging)一起举行，该会议将于10月31日至11月3日在得克萨斯州奥斯汀举行，由人工智能促进会(AAAI)赞助。HCOMP是一个跨学科的会议，它结合了以人为中心的方法和传统的计算机科学，以解决人类计算和众包中的基本问题。它汇集了来自不同领域的研究人员和从业者，如人机交互、心理学、经济学、社会计算、机器学习、信息检索、数据库和系统。欲了解更多有关这次会议的信息，请访问http://www.humancomputation.com/2016/.。博士联盟将在10月30日的会议之前举行一次以研究为重点的会议，并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队伍。该奖项还将使这些年轻的研究人员能够参加HCOMP 2016会议，从而使他们能够与其他研究人员和会议活动互动；了解学术界和行业内潜在的职业道路；访问能够支持其专业发展的国际研究人员网络；并观察人类计算研究的跨学科性质、多样性和相互关系。博士联盟主席将另外挑选约六名杰出的研究人员担任教师导师；该小组还将担任学生申请的审查委员会。学生的选择将基于一篇论文，其中概述了学生的论文研究，解释了学生为什么想参加博士联盟，一份简历，以及一封学生导师的支持信。主办方将优先考虑最需要辅导和加入同龄人小组的学生。此外，组织者将通过从任何一所学校选择不超过两名学生，并优先选择女性和代表性不足的少数群体，促进入选学生的多样性。全天的博士联盟将包括指导这些有前途的年轻研究人员的研究活动。该联盟将允许参与者通过演讲、问答环节、小组讨论和特邀演讲与知名研究人员和其他学生互动。每个参与者将就他们的研究做一个简短的陈述，并将从至少一位教师导师和同学那里得到反馈。反馈将帮助学生参与者理解并阐明他们的研究相对于人类计算和众包方面的其他工作是如何定位的。反馈还将涉及学生的主题是否足够集中于论文研究项目，他们的方法是否被正确地选择和应用，以及他们的结果是否得到适当的分析和展示。由教师领导的活动将包括小组讨论，为学生提供更多关于学术界和工业界研究和生活的过程和课程的信息。为了进一步将博士联盟的参与者融入会议本身，学生们将有机会以海报的形式在互动海报会议中展示他们的工作，他们的论文将发布在研讨会的网页上。这些活动将使参与者受益，因为他们将向每个参与者提供来自本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；为参与者对当前研究的相互反馈和对未来研究方向的指导提供一个支持性的环境；并使参与者能够形成一个新的研究人员队列。

This is funding to support a Doctoral Consortium (workshop) of approximately 12 promising doctoral students (at least 8 of whom will be from U.S. educational institutions) along with distinguished research faculty, to be held in conjunction with the HCOMP 2016 Conference on Human Computation & Crowdsourcing, which will take place October 31-November 3 in Austin, Texas, and which is sponsored by the Association for the Advancement of Artificial Intelligence (AAAI). HCOMP is a cross-disciplinary conference that combines human-centered methods and traditional computer science to address fundamental issues in human computation and crowdsourcing. It brings together researchers and practitioners from diverse areas such as human-computer interaction, psychology, economics, social computing, machine learning, information retrieval, databases and systems. More information about the conference is available online at http://www.humancomputation.com/2016/. The Doctoral Consortium will be a research-focused meeting that immediately precedes the conference, on October 30, and will enhance the scientific workforce in this emerging research area by developing a group of promising young researchers interested in human computation and crowdsourcing. The award will also enable these young researchers to attend the HCOMP 2016 conference, thus 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 about six additional distinguished researchers to serve as faculty mentors; this group also will serve as the review committee for student applications. Students will be selected 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 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. 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.