Workshop on Effective Engagement and Collaboration of US CISE Researchers with Their Counterparts in China
美国CISE研究人员与中国同行的有效接触与合作研讨会
基本信息
- 批准号:1136500
- 负责人:
- 金额:$ 9.99万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-05-15 至 2012-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project is to hold a two-day workshop in Arlington, Virginia on May 23-24, 2011. The purpose of the workshop is to exchange ideas, methods, success stories, cautionary tales, and future directions regarding academic collaboration between US and China institutions. The goal of the workshop is to foster investigating new avenues to encourage and enable meaningful collaborative research projects in computing to leverage the newly found and expected future growth of research and education capabilities in China. The main participants of the workshop will be US-based academic scholars. The workshop will also invite scholars based in China, as well as officials of NSF and other government agencies. The intellectual merit of this workshop is twofold. First, the workshop, through exchange of experiences, participants will gain further insightful understanding of the Chinese education structures and research programs, and their differences from those of the US. Second, the participants will identify research fields and methods to engage CISE researchers in China. Ultimately, the workshop will lead to more engagement of CISE researchers in China and improve our education and research programs at our home institutions. The broader impacts of the workshop are reflected in the hope that more collaborations between US-based and China-based CISE researchers will benefit the faster advancement of CISE research and education, and benefit the academic communities of both countries. More specifically, the broader impacts of the workshop include potential for strong growth in the number and scale of collaborative projects between US and Chinese researchers. The workshop will also bring together more diverse teams to bear on critical research problems across International borders. Finally, the increase in US-China collaborations will serve as an effective channel for academics to share educational tools and experiences while integrating research results into local curricula.
该项目将于2011年5月23日至24日在弗吉尼亚州阿灵顿举办为期两天的研讨会。研讨会的目的是交流有关中美学术合作的想法、方法、成功案例、警示故事和未来方向机构。研讨会的目标是促进研究新途径,以鼓励和实现有意义的计算合作研究项目,以利用中国新发现的和预期的未来增长的研究和教育能力。研讨会的主要参与者将是美国的学术学者。研讨会还将邀请驻中国的学者以及美国国家科学基金会和其他政府机构的官员。本次研讨会的智力价值是双重的。首先,研讨会通过经验交流,让参与者进一步深入了解中国的教育结构和研究项目以及与美国的差异。其次,参与者将确定与中国 CISE 研究人员合作的研究领域和方法。最终,该研讨会将促进中国 CISE 研究人员的更多参与,并改善我们在国内机构的教育和研究项目。此次研讨会的广泛影响体现在希望美国和中国CISE研究人员之间的更多合作将有利于CISE研究和教育的更快发展,并造福于两国学术界。更具体地说,研讨会的更广泛影响包括美国和中国研究人员之间合作项目的数量和规模强劲增长的潜力。该研讨会还将汇集更多不同的团队来解决跨国界的关键研究问题。最后,美中合作的增加将成为学术界分享教育工具和经验,同时将研究成果融入当地课程的有效渠道。
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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Ben Zhao其他文献
Antitumor immune response is associated with favorable survival in GEP-NEN G3.
抗肿瘤免疫反应与 GEP-NEN G3 的良好生存相关。
- DOI:
10.1530/erc-21-0223 - 发表时间:
2021-09-02 - 期刊:
- 影响因子:3.9
- 作者:
V. Rosery;H. Reis;Konstantinos Savvatakis;B. Kowall;M. Stuschke;A. Paul;A. Dechêne;Jia;Ben Zhao;Arianna Borgers;S. Kasper;M. Schuler;P. F. Cheung;J. Siveke - 通讯作者:
J. Siveke
Deep Unfolded Fractional Programming-Based Beamforming in RIS-Aided MISO Systems
RIS 辅助 MISO 系统中基于深度展开分数编程的波束形成
- DOI:
10.1109/lwc.2023.3334031 - 发表时间:
2024-02-01 - 期刊:
- 影响因子:6.3
- 作者:
Wenchao Xia;Yajing Jiang;Ben Zhao;Haitao Zhao;Hongbo Zhu - 通讯作者:
Hongbo Zhu
High-Gain Single-Stage Boosting Inverter for Photovoltaic Applications
适用于光伏应用的高增益单级升压逆变器
- DOI:
10.1109/tpel.2015.2457454 - 发表时间:
2016-05-01 - 期刊:
- 影响因子:6.7
- 作者:
A. Abramovitz;Ben Zhao;K. Smedley - 通讯作者:
K. Smedley
Depletion of insulin-like growth factor 1 receptor increases radiosensitivity in colorectal cancer.
胰岛素样生长因子 1 受体的耗竭会增加结直肠癌的放射敏感性。
- DOI:
10.21037/jgo-20-210 - 发表时间:
2020-12-01 - 期刊:
- 影响因子:0
- 作者:
Yi Li;Kui Lu;Ben Zhao;Xiaokui Zeng;Shan Xu;Xin Ma;Yunqing Zhi - 通讯作者:
Yunqing Zhi
Determination of critical nitrogen concentration and dilution curve based on leaf area index for summer maize
基于叶面积指数的夏玉米临界氮浓度及稀释曲线的确定
- DOI:
10.1016/j.sbi.2019.05.018 - 发表时间:
2018 - 期刊:
- 影响因子:5.8
- 作者:
Ben Zhao;Syed Tahir Ata-Ul-Karim;Aiwang Duan;Zh;ong Liu;Xiaolong Wang;Junfu Xiao;Zugui Liu;Anzhen Qin;Dongfeng Ning;Weiqiang Zhang;Yanhao Lian - 通讯作者:
Yanhao Lian
Ben Zhao的其他文献
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{{ truncateString('Ben Zhao', 18)}}的其他基金
SaTC: CORE: Medium: Digital Forensics for Deep Neural Networks
SaTC:核心:媒介:深度神经网络的数字取证
- 批准号:
2241303 - 财政年份:2023
- 资助金额:
$ 9.99万 - 项目类别:
Standard Grant
SaTC: CORE: Medium: Hidden Rules in Neural Networks as Attacks and Adversarial Defenses
SaTC:核心:中:神经网络中作为攻击和对抗性防御的隐藏规则
- 批准号:
1949650 - 财政年份:2020
- 资助金额:
$ 9.99万 - 项目类别:
Standard Grant
SaTC: CORE: Medium: Collaborative: Defending against Compromise and Manipulation of Mobile Communities
SaTC:核心:媒介:协作:防御移动社区的妥协和操纵
- 批准号:
1834523 - 财政年份:2017
- 资助金额:
$ 9.99万 - 项目类别:
Standard Grant
SaTC: CORE: Medium: Collaborative: Defending against Compromise and Manipulation of Mobile Communities
SaTC:核心:媒介:协作:防御移动社区的妥协和操纵
- 批准号:
1705042 - 财政年份:2017
- 资助金额:
$ 9.99万 - 项目类别:
Standard Grant
SaTC: CORE: Medium: Collaborative: Defending against Compromise and Manipulation of Mobile Communities
SaTC:核心:媒介:协作:防御移动社区的妥协和操纵
- 批准号:
1834523 - 财政年份:2017
- 资助金额:
$ 9.99万 - 项目类别:
Standard Grant
TWC: Small: User Behavior Modeling and Prediction in Anonymous Social Networks
TWC:小:匿名社交网络中的用户行为建模和预测
- 批准号:
1833642 - 财政年份:2017
- 资助金额:
$ 9.99万 - 项目类别:
Standard Grant
TWC: Small: User Behavior Modeling and Prediction in Anonymous Social Networks
TWC:小:匿名社交网络中的用户行为建模和预测
- 批准号:
1833642 - 财政年份:2017
- 资助金额:
$ 9.99万 - 项目类别:
Standard Grant
TWC: Small: User Behavior Modeling and Prediction in Anonymous Social Networks
TWC:小:匿名社交网络中的用户行为建模和预测
- 批准号:
1527939 - 财政年份:2015
- 资助金额:
$ 9.99万 - 项目类别:
Standard Grant
Student Travel Support for the COSN 2013 Conference
COSN 2013 会议的学生旅行支持
- 批准号:
1343637 - 财政年份:2013
- 资助金额:
$ 9.99万 - 项目类别:
Standard Grant
III: Small: Analysis and Models of Social Network Structure, Growth and Dynamics
III:小:社交网络结构、增长和动态的分析和模型
- 批准号:
1321083 - 财政年份:2013
- 资助金额:
$ 9.99万 - 项目类别:
Continuing Grant
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