WORKSHOP: Doctoral Consortium at HCOMP 2016

研讨会：HCOMP 2016 博士联盟

• 批准号: 1636983
• 负责人: Haoqi Zhang
• 金额: $ 2.38万
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-06-01 至 2017-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1636983&HistoricalAwards=false
• 关键词: WORKSHOP; Doctoral; Consortium; HCOMP; 2016

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.

这笔资金将用于支持大约12名有前途的博士生（其中至少8人将来自美国教育机构）沿着杰出的研究人员组成的博士联盟（研讨会），将与HCOMP 2016人类计算众包会议一起举行&，该会议将于10月31日至11月3日在德克萨斯州奥斯汀举行。这是由人工智能促进协会（AAAI）赞助的。 HCOMP是一个跨学科的会议，结合了以人为本的方法和传统的计算机科学，以解决人类计算和众包的基本问题。 它汇集了来自不同领域的研究人员和从业人员，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。 有关会议的更多信息可在http://www.humancomputation.com/2016/上查阅。 博士联盟将是一个以研究为重点的会议，紧接着会议之前，10月30日，并将通过发展一组有前途的年轻研究人员对人类计算和众包感兴趣，加强这一新兴研究领域的科学工作者。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进行互动;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。 博士生联盟主席将选择大约六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。学生将根据一篇论文进行选择，该论文概述了学生的论文研究，解释了为什么学生想要参加博士生联盟，简历和学生顾问的支持信。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族裔，以促进选定学生的多样性。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。 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。