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

研讨会:AAAI 人类计算会议博士联盟

基本信息

  • 批准号:
    1832091
  • 负责人:
  • 金额:
    $ 2.4万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-04-01 至 2019-03-31
  • 项目状态:
    已结题

项目摘要

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.
这项资助支持来自美国教育机构的8名有前途的博士生参加一个博士联盟(研讨会),以及大约6名杰出的研究人员,该研究将与第六届AAAI人类计算和众包会议(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主要场所。虽然人工智能(AI)和人机交互(HCI)是这一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,请访问http://www.humancomputation.com/2018/。在7月8日的会议技术计划之后,博士联盟将是一个以研究为重点的全天会议。它将通过培养一群对人类计算和众包感兴趣的有前途的年轻研究人员来增强这个新兴研究领域的科学劳动力,使他们能够参加会议;了解学术界和工业界潜在的职业发展道路;访问国际研究人员网络,支持他们的专业发展;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。教师导师还将担任学生申请的审查委员会。组织者将促进多样性,从每一所学校选拔不超过一到两名学生,并优先选拔女性和代表性不足的少数族裔。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、小组讨论和邀请演讲,与已有的研究人员和其他学生进行互动。每位参与者将对他们的研究做一个简短的介绍,并将从至少一位教师导师和同学那里获得反馈。反馈将有助于学生参与者理解和表达他们的研究相对于其他人类计算和众包工作的定位。由教师领导的活动将包括小组讨论,让学生更多地了解学术界和工业界的研究过程和经验教训。为了进一步将博士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。这些活动将使参与者受益,为他们自己机构以外的研究人员,包括教师和其他学生,提供对他们工作的新鲜观点和评论;为参与者提供一个相互反馈当前研究和指导未来研究方向的支持性环境;并使参与者形成一个新的研究团队。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Carsten Eickhoff其他文献

Retrieval Augmented Zero-Shot Text Classification
检索增强零样本文本分类
  • DOI:
    10.1145/3664190.3672514
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Tassallah Abdullahi;Ritambhara Singh;Carsten Eickhoff
  • 通讯作者:
    Carsten Eickhoff
Generative Adversarial Networks in Precision Oncology
精准肿瘤学中的生成对抗网络
Ranking and Feedback-based Stopping for Recall-Centric Document Retrieval
用于以召回为中心的文档检索的基于排名和反馈的停止
  • DOI:
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Noah Hollmann;Carsten Eickhoff
  • 通讯作者:
    Carsten Eickhoff
DC 3 – A Diagnostic Case Challenge Collection for Clinical Decision Support
DC 3 – 用于临床决策支持的诊断案例挑战集
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Carsten Eickhoff;Brown;H. Fraser
  • 通讯作者:
    H. Fraser
Using machine learning to predict neurologic injury in venovenous extracorporeal membrane oxygenation recipients: An ELSO Registry analysis
  • DOI:
    10.1016/j.xjon.2024.06.013
  • 发表时间:
    2024-10-01
  • 期刊:
  • 影响因子:
  • 作者:
    Andrew Kalra;Preetham Bachina;Benjamin L. Shou;Jaeho Hwang;Meylakh Barshay;Shreyas Kulkarni;Isaac Sears;Carsten Eickhoff;Christian A. Bermudez;Daniel Brodie;Corey E. Ventetuolo;Glenn J.R. Whitman;Adeel Abbasi;Sung-Min Cho;Bo Soo Kim;David Hager;Steven P. Keller;Errol L. Bush;R. Scott Stephens;Shivalika Khanduja
  • 通讯作者:
    Shivalika Khanduja

Carsten Eickhoff的其他文献

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{{ truncateString('Carsten Eickhoff', 18)}}的其他基金

NSF Student Support for the Doctoral Consortium at the 12th Association for Computing Machinery (ACM) International Conference on Web Search and Data Mining (WSDM 2019)
NSF 学生对第十二届计算机协会 (ACM) 网络搜索和数据挖掘国际会议 (WSDM 2019) 博士联盟的支持
  • 批准号:
    1903302
  • 财政年份:
    2018
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Standard Grant

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