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
- 来源:
- 关键词:
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.
这笔资金用于支持约8名在美国机构就读博士课程的学生的旅行,以展示他们被接受的论文和海报,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,该会议将于7月9日至12日在斯洛伐克布拉迪斯拉发的斯洛伐克理工大学信息与信息技术学院举行,由ACM SIGCHI和SIGWEB赞助。适应可用用户信息(如特殊需要或个人偏好)的用户界面变得越来越重要,以至于适应性已经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不同方面,并在各种情况下增强其有效性、可用性和/或可接受性(例如,减少信息过载,提高信息检索、过滤和注释的质量,并生成有用的信息可视化)。用户建模的应用程序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web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最新的研究成果并交流他们对用户建模问题的互补见解的主要论坛。为了鼓励学生的参与,UMAP设立了两个年度奖项,每个奖项价值1000美元,由活跃的用户建模研究员James Chen的家人捐赠,以奖励最佳学生论文(主要代表学生的研究工作,学生是主要作者的论文)。有关会议的更多信息,请访问http://www.um.org/umap2017/。参加并展示他们在UMAP的工作将对未来一代用户建模、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听众展示他们的工作,并通过热烈的讨论在他们研究的早期阶段获得有用的评论,这将是最有用的。同样重要的是,他们将有机会见到知名的研究人员和其他从事类似工作的研究生,交换意见,建立联系,这对他们在科学事业上取得进步将是非常宝贵的。与年轻研究人员的互动也有利于经验丰富的研究人员,提供新的想法和新的视角。因此,博士联盟对参与的学生来说是一个很好的信心建立者,对资深研究人员来说也是一个很好的激励。UMAP博士联盟的许多过去的参与者已经成为该领域备受尊敬的研究人员和实践者。那些作品被选为博士联合会报告的学生将以许多其他方式从这一经验中受益。他们将被邀请撰写一篇论文,发表在UMAP 2017会议论文集中,该论文将被纳入ACM数字图书馆。他们将有30分钟的时间来展示他们的作品(适当的时候会有一个简短的演示),包括提问和讨论的时间。在提问/讨论期间和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供建设性的意见,并尝试解决学生要求建议的方面。组织者重申了UMAP长期以来对多样性的承诺;为此目的,它们在选择接受财政支助的候选人时将特别努力征聘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
All-sky search for periodic gravitational waves in LIGO S4 data [Phys. Rev. D 77, 022001 (2008)][Publisher's note]
LIGO S4 数据中周期性引力波的全天空搜索 [Phys.
- DOI:
10.1103/physrevd.77.069902 - 发表时间:
2008 - 期刊:
- 影响因子:5
- 作者:
B. Abbott;R. Abbott;R. Adhikari;J. Agresti;P. Ajith;B. Allen;R. Amin;S. Anderson;W. Anderson;M. Arain;M. Araya;H. Armandula;M. Ashley;S. Aston;P. Aufmuth;C. Aulbert;S. Babak;S. Ballmer;H. Bantilan;B. Barish;C. Barker;D. Barker;B. Barr;P. Barriga;M. Barton;K. Bayer;K. Belczynski;J. Betzwieser;P. Beyersdorf;B. Bhawal;I. Bilenko;G. Billingsley;R. Biswas;E. Black;K. Blackburn;L. Blackburn;D. Blair;B. Bland;J. Bogenstahl;L. Bogue;R. Bork;V. Boschi;S. Bose;P. Brady;V. Braginsky;J. Brau;M. Brinkmann;A. Brooks;D. Brown;A. Bullington;A. Bunkowski;A. Buonanno;O. Burmeister;D. Busby;R. Byer;L. Cadonati;G. Cagnoli;J. Camp;J. Cannizzo;K. Cannon;C. Cantley;Junwei Cao;L. Cárdenas;M. M. Casey;G. Castaldi;C. Cepeda;E. Chalkey;P. Charlton;S. Chatterji;S. Chelkowski;Y. Chen;F. Chiadini;David Chin;E. Chin;J. Chow;N. Christensen;J. Clark;P. Cochrane;T. Cokelaer;C. Colacino;R. Coldwell;R. Conte;D. Cook;T. Corbitt;D. Coward;D. Coyne;J. Creighton;T. Creighton;R. Croce;D. Crooks;A. Cruise;A. Cumming;J. Dalrymple;E. D'ambrosio;K. Danzmann;G. Davies;D. DeBra;J. Degallaix;M. Degree;T. Demma;V. Dergachev;S. Desai;R. DeSalvo;S. Dhurandhar;M. Díaz;J. Dickson;A. Credico;G. Diederichs;A. Dietz;E. Doomes;R. Drever;J. Dumas;R. Dupuis;J. Dwyer;P. Ehrens;E. Espinoza;T. Etzel;M. Evans;T. Evans;S. Fairhurst;Y. Fan;D. Fazi;M. Fejer;L. Finn;V. Fiumara;N. Fotopoulos;A. Franzen;K. Y. Franzén;A. Freise;R. Frey;T. Fricke;P. Fritschel;V. Frolov;M. Fyffe;V. Galdi;J. Garofoli;I. Gholami;J. Giaime;S. Giampanis;K. Giardina;K. Goda;E. Goetz;L. Goggin;G. González;S. Gossler;A. Grant;S. Gras;C. Gray;M. Gray;J. Greenhalgh;A. Gretarsson;R. Grosso;H. Grote;S. Grunewald;M. Guenther;R. Gustafson;B. Hage;D. Hammer;C. Hanna;J. Hanson;J. Harms;G. Harry;E. Harstad;T. Hayler;J. Heefner;I. Heng;A. Heptonstall;M. Heurs;M. Hewitson;S. Hild;E. Hirose;D. Hoak;D. Hosken;J. Hough;E. Howell;D. Hoyland;S. Huttner;D. Ingram;E. Innerhofer;M. Ito;Y. Itoh;A. Ivanov;D. Jackrel;B. Johnson;W. Johnson;Dayton L. Jones;G. Jones;R. Jones;L. Ju;P. Kalmus;V. Kalogera;D. Kasprzyk;E. Katsavounidis;K. Kawabe;S. Kawamura;F. Kawazoe;W. Kells;D. Keppel;F. Khalili;Chonghoon Kim;P. King;J. Kissel;S. Klimenko;K. Kokeyama;V. Kondrashov;R. Kopparapu;D. Kozak;B. Krishnan;P. Kwee;P. Lam;M. Landry;B. Lantz;A. Lazzarini;Bum;M. Lei;J. Leiner;V. Leonhardt;I. Leonor;K. Libbrecht;P. Lindquist;N. Lockerbie;M. Longo;M. Lormand;M. Lubinski;H. Lück;B. Machenschalk;M. Macinnis;M. Mageswaran;K. Mailand;M. Malec;V. Mandic;S. Maranò;S. Márka;J. Markowitz;E. Maros;I. Martin;J. Marx;K. Mason;L. Matone;V. Matta;N. Mavalvala;R. McCarthy;D. McClelland;S. Mcguire;M. McHugh;K. McKenzie;J. Mcnabb;S. McWilliams;T. Meier;A. Melissinos;G. Mendell;R. Mercer;S. Meshkov;E. Messaritaki;C. Messenger;D. Meyers;E. Mikhailov;S. Mitra;V. Mitrofanov;G. Mitselmakher;R. Mittleman;O. Miyakawa;S. Mohanty;G. Moreno;K. Mossavi;C. Mow;A. Moylan;D. Mudge;G. Mueller;S. Mukherjee;H. Müller;J. Munch;P. Murray;E. Myers;J. Myers;T. Nash;G. Newton;A. Nishizawa;K. Numata;B. O'reilly;R. O’Shaughnessy;D. Ottaway;H. Overmier;B. Owen;Y. Pan;M. Papa;V. Parameshwaraiah;P. Patel;M. Pedraza;S. Penn;V. Pierro;I. Pinto;M. Pitkin;H. Pletsch;M. Plissi;F. Postiglione;R. Prix;V. Quetschke;F. Raab;D. Rabeling;H. Radkins;R. Rahkola;N. Rainer;M. Rakhmanov;M. Ramsunder;K. Rawlins;S. Ray;V. Re;H. Rehbein;S. Reid;D. Reitze;L. Ribichini;R. Riesen;K. Riles;B. Rivera;N. Robertson;C. Robinson;E. Robinson;S. Roddy;Á. Rodriguez;A. Rogan;J. Rollins;J. Romano;J. Romie;R. Route;S. Rowan;A. Rüdiger;L. Ruet;P. Russell;K. Ryan;S. Sakata;M. Samidi;L. D. L. Jordana;V. Sandberg;V. Sannibale;S. Saraf;P. Sarin;Bangalore Suryanarayana Sathyarprakash;S. Sato;P. Saulson;R. Savage;P. Savov;S. Schediwy;R. Schilling;R. Schnabel;R. Schofield;B. Schutz;P. Schwinberg;S. Scott;A. Searle;B. Sears;F. Seifert;D. Sellers;A. Sengupta;P. Shawhan;D. Shoemaker;A. Sibley;J. Sidles;X. Siemens;D. Sigg;S. Sinha;A. Sintes;B. Slagmolen;J. Slutsky;J. R. Smith;M. Smith;K. Somiya;K. Strain;D. Strom;A. Stuver;T. Summerscales;K. Sun;M. Sung;P. Sutton;H. Takahashi;D. Tanner;M. Tarallo;Robert W. Taylor;J. Thacker;K. Thorne;A. Thüring;K. Tokmakov;C. Torres;C. Torrie;G. Traylor;M. Trias;W. Tyler;D. Ugolini;C. Ungarelli;K. Urbanek;H. Vahlbruch;M. Vallisneri;C. Broeck;M. Varvella;S. Vass;A. Vecchio;J. Veitch;P. Veitch;A. Villar;C. Vorvick;S. Vyachanin;S. Waldman;L. Wallace;H. Ward;R. Ward;K. Watts;D. Webber;A. Weidner;M. Weinert;A. Weinstein;R. Weiss;S. Wen;K. Wette;J. Whelan;D. M. Whitbeck;S. Whitcomb;B. Whiting;C. Wilkinson;P. Willems;L. Williams;B. Willke;I. Wilmut;W. Winkler;C. Wipf;S. Wise;A. Wiseman;G. Woan;D. Woods;R. Wooley;J. Worden;Wei Wu;I. Yakushin;H. Yamamoto;Zewu Yan;S. Yoshida;N. Yunes;M. Zanolin;J. Zhang;Lihong Zhang;Chunnong Zhao;N. Zotov;M. Zucker;H. Z. Mühlen;J. Zweizig - 通讯作者:
J. Zweizig
Searching for a Stochastic Background of Gravitational Waves with the Laser Interferometer Gravitational-Wave Observatory
用激光干涉仪引力波天文台寻找引力波的随机背景
- DOI:
10.1086/511329 - 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
B. Abbott;R. Abbott;R. Adhikari;J. Agresti;P. Ajith;B. Allen;R. Amin;S. Anderson;W. Anderson;M. Araya;H. Armandula;M. Ashley;S. Aston;C. Aulbert;S. Babak;S. Ballmer;B. Barish;C. Barker;D. Barker;B. Barr;P. Barriga;M. Barton;K. Bayer;K. Belczynski;J. Betzwieser;P. Beyersdorf;B. Bhawal;I. Bilenko;G. Billingsley;E. Black;K. Blackburn;L. Blackburn;D. Blair;B. Bland;L. Bogue;R. Bork;S. Bose;P. Brady;V. Braginsky;J. Brau;A. Brooks;D. Brown;A. Bullington;A. Bunkowski;A. Buonanno;R. Burman;D. Busby;R. Byer;L. Cadonati;G. Cagnoli;J. Camp;J. Cannizzo;K. Cannon;C. Cantley;J. Cao;L. Cárdenas;M. M. Casey;C. Cepeda;P. Charlton;S. Chatterji;S. Chelkowski;Yanmei Chen;David Chin;E. Chin;J. Chow;N. Christensen;T. Cokelaer;C. Colacino;R. Coldwell;D. Cook;T. Corbitt;D. Coward;D. Coyne;J. Creighton;T. Creighton;D. Crooks;A. Cruise;A. Cumming;C. Cutler;J. Dalrymple;E. D'ambrosio;K. Danzmann;G. Davies;G. D. Vine;D. DeBra;J. Degallaix;V. Dergachev;S. Desai;R. DeSalvo;S. Dhurandar;A. Credico;M. Díaz;J. Dickson;G. Diederichs;A. Dietz;E. Doomes;R. Drever;J. Dumas;R. Dupuis;P. Ehrens;E. Elliffe;T. Etzel;M. Evans;T. Evans;S. Fairhurst;Yaohui Fan;M. Fejer;L. Finn;N. Fotopoulos;A. Franzen;K. Y. Franzén;R. Frey;T. Fricke;P. Fritschel;V. Frolov;M. Fyffe;J. Garofoli;I. Gholami;J. Giaime;S. Giampanis;K. Goda;E. Goetz;L. Goggin;G. González;S. Gossler;A. Grant;S. Gras;C. Gray;M. Gray;J. Greenhalgh;A. Gretarsson;D. Grimmett;R. Grosso;H. Grote;S. Grunewald;M. Guenther;R. Gustafson;B. Hage;C. Hanna;J. Hanson;C. Hardham;J. Harms;G. Harry;E. Harstad;T. Hayler;J. Heefner;I. Heng;A. Heptonstall;M. Heurs;M. Hewitson;S. Hild;N. Hindman;E. Hirose;D. Hoak;P. Hoang;D. Hosken;J. Hough;E. Howell;D. Hoyland;W. Hua;S. Huttner;D. Ingram;M. Ito;Y. Itoh;A. Ivanov;D. Jackrel;B. Johnson;W. Johnson;D. Jones;G. Jones;Russell Jones;L. Ju;P. Kalmus;V. Kalogera;D. Kasprzyk;E. Katsavounidis;K. Kawabe;S. Kawamura;F. Kawazoe;W. Kells;F. Khalili;A. Khan;Chunglee Kim;P. King;S. Klimenko;K. Kokeyama;V. Kondrashov;S. Koranda;D. Kozak;B. Krishnan;P. Kwee;P. Lam;M. Landry;B. Lantz;A. Lazzarini;B. Lee;M. Lei;V. Leonhardt;I. Leonor;K. Libbrecht;P. Lindquist;N. Lockerbie;M. Lormand;M. Lubinski;H. Lück;B. Machenschalk;M. Macinnis;M. Mageswaran;K. Mailand;M. Malec;V. Mandic;S. Márka;J. Markowitz;E. Maros;I. Martin;J. Marx;K. Mason;L. Matone;N. Mavalvala;R. McCarthy;D. McClelland;S. Mcguire;M. McHugh;K. McKenzie;J. Mcnabb;T. Meier;A. Melissinos;G. Mendell;R. Mercer;S. Meshkov;E. Messaritaki;C. Messenger;D. Meyers;E. Mikhailov;S. Mitra;V. Mitrofanov;G. Mitselmakher;R. Mittleman;O. Miyakawa;S. Mohanty;G. Moreno;K. Mossavi;C. Mow;A. Moylan;D. Mudge;G. Mueller;H. Müller;S. Mukherjee;J. Munch;P. Murray;E. Myers;J. Myers;G. Newton;K. Numata;B. O'reilly;R. O’Shaughnessy;D. Ottaway;H. Overmier;B. Owen;Yi Pan;M. Papa;V. Parameshwaraiah;M. Pedraza;S. Penn;M. Pitkin;M. Plissi;R. Prix;V. Quetschke;F. Raab;D. Rabeling;H. Radkins;R. Rahkola;M. Rakhmanov;K. Rawlins;S. Ray;V. Re;H. Rehbein;S. Reid;D. Reitze;L. Ribichini;R. Riesen;K. Riles;B. Rivera;D. Robertson;N. Robertson;C. Robinson;S. Roddy;Á. Rodriguez;A. Rogan;J. Rollins;J. Romano;J. Romie;R. Route;S. Rowan;A. Rüdiger;L. Ruet;P. Russell;K. Ryan;S. Sakata;M. Samidi;L. D. L. Jordana;V. Sandberg;V. Sannibale;S. Saraf;P. Sarin;B. Sathyaprakash;S. Sato;P. Saulson;R. Savage;S. Schediwy;R. Schilling;R. Schnabel;R. Schofield;B. Schutz;P. Schwinberg;S. Scott;S. Seader;A. Searle;B. Sears;F. Seifert;D. Sellers;A. Sengupta;P. Shawhan;B. Sheard;D. Shoemaker;A. Sibley;X. Siemens;D. Sigg;A. Sintes;B. Slagmolen;J. Slutsky;J. R. Smith;M. Smith;P. Sneddon;K. Somiya;C. Speake;O. Spjeld;K. Strain;D. Strom;A. Stuver;T. Summerscales;K. Sun;M. Sung;P. Sutton;D. Tanner;M. Tarallo;R. Taylor;J. Thacker;K. Thorne;K. Thorne;A. Thüring;K. Tokmakov;C. Torres;C. Torrie;G. Traylor;M. Trias;W. Tyler;D. Ugolini;C. Ungarelli;H. Vahlbruch;M. Vallisneri;M. Varvella;S. Vass;A. Vecchio;J. Veitch;P. Veitch;S. Vigeland;A. Villar;C. Vorvick;S. Vyachanin;S. Waldman;L. Wallace;H. Ward;R. Ward;K. Watts;D. Webber;A. Weidner;A. Weinstein;R. Weiss;S. Wen;K. Wette;J. Whelan;D. M. Whitbeck;S. Whitcomb;B. Whiting;C. Wilkinson;P. Willems;B. Willke;I. Wilmut;W. Winkler;C. Wipf;S. Wise;A. Wiseman;G. Woan;D. Woods;R. Wooley;J. Worden;W. Wu;I. Yakushin;H. Yamamoto;Z. Yan;S. Yoshida;N. Yunes;M. Zanolin;L. Zhang;Chunnong Zhao;N. Zotov;M. Zucker;H. Z. Mühlen;J. Zweizig - 通讯作者:
J. Zweizig
Nasal peak inspiratory flow (NPIF) as a diagnostic tool for differentiating decongestable from structural nasal obstruction*
鼻吸气峰值流量 (NPIF) 作为区分减充血性鼻塞和结构性鼻塞的诊断工具*
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
David Chin;G. Marcells;J. Malek;E. Pratt;Raymond Sacks;K. Snidvongs;Richard Harvey - 通讯作者:
Richard Harvey
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
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
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
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 - 财政年份:2024
- 资助金额:
$ 1.43万 - 项目类别:
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 - 财政年份:2023
- 资助金额:
$ 1.43万 - 项目类别:
Standard Grant
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 - 财政年份:2023
- 资助金额:
$ 1.43万 - 项目类别:
Standard Grant
WORKSHOP: Doctoral Consortium at the Academy of Management Annual Meeting 2023
研讨会:管理学院 2023 年年会博士联盟
- 批准号:
2329636 - 财政年份:2023
- 资助金额:
$ 1.43万 - 项目类别:
Standard Grant
WORKSHOP: ThinkTank (Doctoral Consortium) at ICAD 2023
研讨会:ICAD 2023 上的 ThinkTank(博士联盟)
- 批准号:
2324432 - 财政年份:2023
- 资助金额:
$ 1.43万 - 项目类别:
Standard Grant
WORKSHOP: Doctoral Consortium at ACM DIS 2023
研讨会:ACM DIS 2023 博士联盟
- 批准号:
2327585 - 财政年份:2023
- 资助金额:
$ 1.43万 - 项目类别:
Standard Grant
WORKSHOP: Doctoral Consortium at the 2023 International Conference on Pervasive Technologies Related to Assistive Environments (PETRA'23).
研讨会:2023 年辅助环境相关普及技术国际会议 (PETRA23) 博士联盟。
- 批准号:
2325232 - 财政年份:2023
- 资助金额:
$ 1.43万 - 项目类别:
Standard Grant
WORKSHOP: Virtual Student Doctoral Consortium ("Think Tank") at the ICAD 2022 Conference
研讨会:ICAD 2022 会议上的虚拟学生博士联盟(“智囊团”)
- 批准号:
2230504 - 财政年份:2022
- 资助金额:
$ 1.43万 - 项目类别:
Standard Grant
WORKSHOP: Doctoral consortium at the ASSETS 2022 conference
研讨会:ASSETS 2022 会议上的博士联盟
- 批准号:
2228013 - 财政年份:2022
- 资助金额:
$ 1.43万 - 项目类别:
Standard Grant
WORKSHOP: Doctoral Consortium at PETRA 2022, The 15th International Conference on Pervasive Technologies Related to Assistive Environments
研讨会:第 15 届辅助环境相关普及技术国际会议 PETRA 2022 博士联盟
- 批准号:
2219802 - 财政年份:2022
- 资助金额:
$ 1.43万 - 项目类别:
Standard Grant














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