WORKSHOP: Doctoral Consortium at the 2017 ACM User Modeling, Adaptation and Personalization Conference (UMAP 2017)

研讨会:2017 年 ACM 用户建模、适应和个性化会议上的博士联盟 (UMAP 2017)

基本信息

  • 批准号:
    1738024
  • 负责人:
  • 金额:
    $ 1.43万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-04-01 至 2018-03-31
  • 项目状态:
    已结题

项目摘要

This is funding to support travel for about 8 students enrolled in PhD programs in U.S. institutions, to present their accepted papers and posters and/or to attend the Doctoral Consortium associated with the 25th International Conference on User Modeling, Adaptation and Personalization (UMAP 2017), to be held July 9-12 at the Faculty of Informatics and Information Technologies of the Slovak University of Technology in Bratislava, Slovakia, and which is sponsored by ACM SIGCHI and SIGWEB. User interfaces that adapt themselves to available user information (such as special needs or individual preferences) are becoming increasingly important, so much so that adaptability has become a selling point for software products. A system with the ability to construct and consult a user model (an explicit representation of properties of a particular user or group of users) can adapt diverse aspects of its performance and enhance its effectiveness, usability and/or acceptance in a variety of situations (e.g., to reduce information overload, to improve the quality of information retrieval, filtering and annotation, and to generate useful information visualizations). Applications for user modeling range from electronic commerce and intelligent learning environments to health care and assistive technologies. Relevant platforms for user modeling include mobile and wearable systems and smart environments, as well as individual desktop systems, groupware, adaptive hypermedia, and other web-based systems. The annual UMAP conference is the premier forum at which academic and industrial researchers from all these fields gather to present their latest research and to exchange their complementary insights on user modeling issues. To encourage student participation, UMAP has established two annual awards valued at $1,000 each endowed by the family of the late James Chen, an active User Modeling researcher, for best student papers (papers that represent primarily student research work and where students are lead authors). More information about the conference is available online at http://www.um.org/umap2017/. Attending and presenting their work at UMAP will have a significant impact on the careers of the future generation of user modeling, adaptation, and personalization researchers. First, they will have the opportunity to present their work to a knowledgeable audience and through lively discussions get useful comments at an early stage of their research when it will be most useful. Just as importantly, they will have a chance to meet established researchers and other graduate students doing similar work, to exchange ideas and to make contacts that will be invaluable to them as they progress in their scientific careers. Interacting with young researchers is also beneficial to experienced investigators, by providing fresh ideas and new perspectives. Thus, the Doctoral Consortium is a great confidence builder for the students involved, and highly stimulating to the senior researchers as well. Many past participants in the UMAP Doctoral Consortium have gone on to become well-regarded researchers and practitioners in the field. Students whose work has been selected for presentation at the Doctoral Consortium will benefit from that experience in a number of additional ways. They will be invited to write a paper that will be published in the UMAP 2017 conference proceedings, which will be included in the ACM Digital Library. And they will have a 30-minute window in which to present their work (with a short demonstration where appropriate), including time for questions and discussion. During the question/discussion period and in subsequent informal interactions, organizing committee members and other participants will provide constructive comments on each student's work and attempt to address aspects on which the student has requested advice. The organizers have reaffirmed the long-standing and demonstrated UMAP commitment to diversity; to this end, they will make special efforts to recruit women and members of under-represented groups when selecting the candidates to receive financial support.
这笔资金用于支持大约 8 名在美国机构攻读博士学位课程的学生的旅行,以展示他们已接受的论文和海报和/或参加与第 25 届用户建模、适应和个性化国际会议 (UMAP 2017) 相关的博士联盟,将于 7 月 9 日至 12 日在斯洛伐克布拉迪斯拉发斯洛伐克科技大学信息学和信息技术学院举行,由 ACM 赞助SIGCHI 和 SIGWEB。 适应可用用户信息(例如特殊需求或个人偏好)的用户界面变得越来越重要,以至于适应性已成为软件产品的卖点。 具有构建和咨询用户模型(特定用户或用户组属性的显式表示)能力的系统可以适应其性能的各个方面,并增强其在各种情况下的有效性、可用性和/或接受度(例如,减少信息过载,提高信息检索、过滤和注释的质量,以及生成有用的信息可视化)。 用户建模的应用范围从电子商务和智能学习环境到医疗保健和辅助技术。 用户建模的相关平台包括移动和可穿戴系统和智能环境,以及个人桌面系统、群件、自适应超媒体和其他基于网络的系统。 一年一度的 UMAP 会议是来自所有这些领域的学术和工业研究人员聚集在一起展示他们的最新研究并交流他们对用户建模问题的补充见解的首要论坛。为了鼓励学生参与,UMAP 设立了两项年度奖项,每项价值 1,000 美元,由已故活跃用户建模研究员 James Chen 的家人捐赠,奖励最佳学生论文(主要代表学生研究工作且学生为主要作者的论文) 。 有关会议的更多信息,请访问 http://www.um.org/umap2017/。 参加 UMAP 并展示他们的工作将对下一代用户建模、适应和个性化研究人员的职业生涯产生重大影响。 首先,他们将有机会向知识渊博的观众展示他们的工作,并通过活跃的讨论在研究的早期阶段获得最有用的评论。 同样重要的是,他们将有机会见到知名研究人员和其他从事类似工作的研究生,交流想法并建立联系,这对他们在科学职业生涯中取得的进步来说是无价的。 与年轻研究人员的互动也有利于经验丰富的研究人员,因为他们可以提供新鲜的想法和新的视角。 因此,博士联盟对于参与其中的学生来说是一个巨大的信心增强者,对于高级研究人员来说也具有很大的激励作用。 UMAP 博士联盟的许多过去的参与者后来都成为该领域备受推崇的研究人员和实践者。 作品被选中在博士联盟展示的学生将在许多其他方面从这一经历中受益。 他们将受邀撰写一篇论文,发表在 UMAP 2017 会议论文集上,该论文集将收录在 ACM 数字图书馆中。 他们将有 30 分钟的时间来展示他们的作品(在适当的情况下进行简短的演示),包括提问和讨论的时间。 在提问/讨论期间以及随后的非正式互动中,组委会成员和其他参与者将对每个学生的工作提出建设性意见,并尝试解决学生提出的建议。 组织者重申了 UMAP 对多元化的长期承诺;为此,他们在选择接受财政支持的候选人时将特别努力招募妇女和代表性不足群体的成员。

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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David Chin其他文献

Exploratory studies in a search for continuous-wave gravitational radiation in early LIGO data.
在早期 LIGO 数据中寻找连续波引力辐射的探索性研究。
  • DOI:
  • 发表时间:
    2005
  • 期刊:
  • 影响因子:
    0
  • 作者:
    David Chin
  • 通讯作者:
    David Chin
Setting upper limits on the strength of periodic gravitational waves from PSR J1939+2134 using the first science data from the GEO 600 and LIGO detectors
使用来自 GEO 600 和 LIGO 探测器的第一批科学数据设置 PSR J1939 2134 周期性引力波强度的上限
  • DOI:
    10.1103/physrevd.69.082004
  • 发表时间:
    2004-04-15
  • 期刊:
  • 影响因子:
    5
  • 作者:
    B. Abbott;R. Abbott;R. Adhikari;A. Ageev;B. Allen;R. Amin;S. Anderson;W. Anderson;M. Araya;H. Arm;ula;ula;F. Asiri;P. Aufmuth;C. Aulbert;S. Babak;R. Balasubramanian;S. Ballmer;B. Barish;D. Barker;C. Barker;M. Barnes;B. Barr;M. Barton;K. Bayer;R. Beausoleil;K. Belczynski;R. Bennett;S. Berukoff;J. Betzwieser;B. Bhawal;I. Bilenko;G. Billingsley;E. Black;K. Blackburn;B. Bl;B. Bochner;L. Bogue;R. Bork;S. Bose;P. Brady;V. Braginsky;J. Brau;D. Brown;S. Brożek;A. Bullington;A. Buonanno;R. Burgess;D. Busby;W. Butler;R. Byer;L. Cadonati;G. Cagnoli;J. Camp;C. Cantley;L. Cárdenas;K. Carter;M. M. Casey;J. Castiglione;A. Ch;ler;ler;J. Chapsky;P. Charlton;S. Chatterji;Y. Chen;V. Chickarmane;David Chin;N. Christensen;D. Churches;C. Colacino;R. Coldwell;M. Coles;D. Cook;T. Corbitt;D. Coyne;J. Creighton;T. Creighton;D. Crooks;P. Csatorday;B. Cusack;C. Cutler;E. D'ambrosio;K. Danzmann;R. Davies;E. Daw;D. DeBra;T. Delker;R. DeSalvo;S. Dhur;har;har;M. Díaz;H. Ding;R. Drever;R. Dupuis;C. Ebeling;J. Edlund;P. Ehrens;E. Elliffe;T. Etzel;M. Evans;T. Evans;C. Fallnich;D. Farnham;M. Fejer;M. Fine;L. Finn;E. Flanagan;A. Freise;R. Frey;P. Fritschel;V. Frolov;M. Fyffe;K. Ganezer;J. Giaime;A. Gillespie;K. Goda;G. González;S. Gossler;P. Gr;clément;clément;A. Grant;C. Gray;A. Gretarsson;D. Grimmett;H. Grote;S. Grunewald;M. Guenther;E. Gustafson;R. Gustafson;W. Hamilton;M. Hammond;J. Hanson;C. Hardham;G. Harry;A. Hartunian;J. Heefner;Y. Hefetz;G. Heinzel;I. Heng;M. Hennessy;N. Hepler;A. Heptonstall;M. Heurs;M. Hewitson;N. Hindman;P. Hoang;J. Hough;M. Hrynevych;W. Hua;R. Ingley;M. Ito;Y. Itoh;A. Ivanov;O. Jennrich;W. Johnson;W. Johnston;L. Jones;D. Jungwirth;V. Kalogera;E. Katsavounidis;K. Kawabe;S. Kawamura;W. Kells;J. Kern;A. Khan;S. Killbourn;C. Killow;Chunglee Kim;C. King;P. King;S. Klimenko;P. Kloevekorn;S. Kor;a;a;K. Kötter;J. Kovalik;D. Kozak;B. Krishnan;M. L;ry;ry;J. Langdale;B. Lantz;R. Lawrence;A. Lazzarini;M. Lei;V. Leonhardt;I. Leonor;K. Libbrecht;P. Lindquist;S. Liu;J. Logan;M. Lorm;M. Lubinski;H. Lück;T. T. Lyons;B. Machenschalk;M. Macinnis;M. Mageswaran;K. Mail;W. Majid;M. Malec;F. Mann;A. Marín;S. Márka;E. Maros;J. Mason;K. Mason;O. Matherny;L. Matone;N. Mavalvala;R. McCarthy;D. McClell;M. McHugh;P. Mcnamara;G. Mendell;S. Meshkov;C. Messenger;V. Mitrofanov;G. Mitselmakher;R. Mittleman;O. Miyakawa;S. Miyoki;S. Mohanty;G. Moreno;K. Mossavi;B. Mours;G. Mueller;S. Mukherjee;J. Myers;S. Nagano;T. Nash;H. Naundorf;R. Nayak;G. Newton;F. Nocera;P. Nutzman;T. Olson;B. O'reilly;D. Ottaway;A. Ottewill;D. Ouimette;H. Overmier;B. Owen;M. Papa;C. Parameswariah;V. Parameswariah;M. Pedraza;S. Penn;M. Pitkin;M. Plissi;M. Pratt;V. Quetschke;F. Raab;H. Radkins;R. Rahkola;M. Rakhmanov;S. Rao;D. Redding;M. Regehr;T. Regimbau;K. Reilly;K. Reithmaier;D. Reitze;S. Richman;R. Riesen;K. Riles;A. Rizzi;D. Robertson;N. Robertson;L. Robison;S. Roddy;J. Rollins;J. Romano;J. Romie;H. Rong;D. Rose;E. Rotthoff;S. Rowan;A. Rüdiger;P. Russell;K. Ryan;I. Salzman;G. S;ers;ers;V. Sannibale;B. Sathyaprakash;P. Saulson;R. Savage;A. Sazonov;R. Schilling;K. Schlaufman;V. Schmidt;R. Schofield;M. Schrempel;B. Schutz;P. Schwinberg;S. Scott;A. Searle;B. Sears;S. Seel;A. Sengupta;C. A. Shapiro;P. Shawhan;D. Shoemaker;Q. Shu;A. Sibley;X. Siemens;L. Sievers;D. Sigg;A. Sintes;K. Skeldon;J. R. Smith;M. Smith;M. Smith;P. Sneddon;Robert Eliot Spero;G. Stapfer;K. Strain;D. Strom;A. Stuver;T. Summerscales;M. Sumner;P. Sutton;J. Sylvestre;A. Takamori;D. Tanner;H. Tariq;I. Taylor;Robert W. Taylor;K. Thorne;M. Tibbits;S. Tilav;M. Tinto;K. Tokmakov;C. Torres;C. Torrie;S. Traeger;G. Traylor;W. Tyler;D. Ugolini;M. Vallisneri;M. Putten;S. Vass;A. Vecchio;C. Vorvick;S. Vyachanin;L. Wallace;H. Walther;H. Ward;B. Ware;K. Watts;D. Webber;A. Weidner;U. Weil;A. Weinstein;R. Weiss;H. Welling;L. Wen;S. Wen;J. Whelan;S. Whitcomb;B. Whiting;P. Willems;P. Williams;Rik J. Williams;B. Willke;A. Wilson;B. Winjum;W. Winkler;S. Wise;A. Wiseman;G. Woan;R. Wooley;J. Worden;I. Yakushin;H. Yamamoto;S. Yoshida;I. Zawischa;Lei Zhang;N. Zotov;M. Zucker;J. Zweizig
  • 通讯作者:
    J. Zweizig
Visual cycle suppression via patching in central serous chorioretinopathy.
通过修补中心性浆液性脉络膜视网膜病变来抑制视觉周期。
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    James B. Earl;Cecilia S. Lee;Cecilia S. Lee;Victoria H. Yom;G. P. Stavern;Mouhammed Abuattieh;David Chin;P. Rao;R. Apte
  • 通讯作者:
    R. Apte
Insurance payment for artificial intelligence technology: Methods used by a stroke artificial intelligence system and strategies to qualify for the new technology add-on payment
人工智能技术保险支付:中风人工智能系统使用的方法和获得新技术附加支付资格的策略
  • DOI:
    10.1177/19714009211067408
  • 发表时间:
    2022-01-06
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Nick M. Murray;Phillip Phan;Gregory Hager;Andrew Menard;David Chin;Alvin Liu;F. Hui
  • 通讯作者:
    F. Hui
Dynamic IMRT Treatments of Sinus Region Tumors: Comparison of Monte Carlo Calculations with Treatment Planning System Calculations and Ion Chamber Measurements
窦区肿瘤的动态 IMRT 治疗:蒙特卡罗计算与治疗计划系统计算和电离室测量的比较
  • DOI:
    10.1177/153303460600500505
  • 发表时间:
    2006-10-01
  • 期刊:
  • 影响因子:
    2.8
  • 作者:
    L. Court;L. Jahnke;David Chin;Jun S. Song;R. Cormack;P. Zygmanski;R. Tishler;L. Chin
  • 通讯作者:
    L. Chin

David Chin的其他文献

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{{ truncateString('David Chin', 18)}}的其他基金

Supporting Students Attending the User Modeling, Adaptation and Personalization 2010 Conference
支持学生参加 2010 年用户建模、适应和个性化会议
  • 批准号:
    1016237
  • 财政年份:
    2010
  • 资助金额:
    $ 1.43万
  • 项目类别:
    Standard Grant
A Study of the Application of Ocean Surface Current Radar Systems to the Identification of Outfall Mixing Zones
海面海流雷达系统在排污口混合区识别中的应用研究
  • 批准号:
    9320253
  • 财政年份:
    1995
  • 资助金额:
    $ 1.43万
  • 项目类别:
    Standard Grant

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基于IPOD模型的“医+X”博士生跨学科培养模式及其成效研究
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    20 万元
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我国博士生学术成长路径的实证研究:内涵测量、作用机制与优化策略
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    2021
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    30 万元
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基于海量数据的博士生科研网络对学术生产力影响的混合研究
  • 批准号:
    71904100
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    2019
  • 资助金额:
    19.5 万元
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    青年科学基金项目
博士生学术社会化过程研究
  • 批准号:
    71673005
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    46.0 万元
  • 项目类别:
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相似海外基金

Conference: Doctoral Consortium at Student Research Workshop at the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
会议:计算语言学协会 (NAACL) 北美分会年会学生研究研讨会上的博士联盟
  • 批准号:
    2415059
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    $ 1.43万
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    Standard Grant
WORKSHOP: Doctoral Consortium at the ACM Computer-Human Interaction (CHI 2023) Conference
研讨会:ACM 人机交互 (CHI 2023) 会议上的博士联盟
  • 批准号:
    2317080
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WORKSHOP: Doctoral Consortium at ACM DIS 2023
研讨会:ACM DIS 2023 博士联盟
  • 批准号:
    2327585
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    $ 1.43万
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Conference: Doctoral Consortium at Student Research Workshop at the Annual Meeting of the Association for Computational Linguistics
会议:计算语言学协会年会学生研究研讨会上的博士联盟
  • 批准号:
    2307288
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    2023
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WORKSHOP: Doctoral Consortium at ACM DIS 2023
研讨会:ACM DIS 2023 博士联盟
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