Second Annual Data Science Workshop: Emerging Data Science Methods for Complex Biomedical and Cyber Data
第二届年度数据科学研讨会:复杂生物医学和网络数据的新兴数据科学方法
基本信息
- 批准号:2000420
- 负责人:
- 金额:$ 1.39万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-02-01 至 2022-01-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The Second Annual Data Science Workshop entitled "Emerging Data Science Methods for Complex Biomedical and Cyber Data" will be held on Augusta University (AU) Riverfront campus, March 26-27, 2020. The workshop aims to foster collaborative research among data science, statistics and other related disciplines for the purpose of addressing the very hardest and most important data- and model-driven scientific challenges, and for developing the much-needed skills for the next generation STEM workforce. The Workshop participants will learn statistical and data science methods to handle the enormously complex biomedical and cyber science data, and help them develop analytical thinking, statistical reasoning, communication skills and creativity. Participants will be strongly encouraged to submit abstracts for poster sessions held during the entire workshop. This award will support the invited speakers, around fifteen undergraduate and graduate students to attend the event and to present research posters closely related to the theme of the workshop. The topics of the workshop include deep learning, statistical machine learning, differential privacy, Bayesian data integration and cybersecurity data modeling, among others, building on AU's unique strength and focus in medical and cyber science research. The workshop will be in the form of specific research overviews and lectures provided by leading experts who have done prominent work in the respective topic areas. At the end of each of the two days, a panel discussion will be held, led by an expert panelist and all speakers of the day, for encapsulating the various topics presented on the day and for addressing questions and comments from the audience.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.
第二届年度数据科学研讨会题为“复杂生物医学和网络数据的新兴数据科学方法”将于2020年3月26日至27日在奥古斯塔大学(Au)河滨校区举行。该研讨会旨在促进数据科学,统计学和其他相关学科之间的合作研究,以应对最困难和最重要的数据和模型驱动的科学挑战,并为下一代STEM劳动力开发急需的技能。参加者将学习统计和数据科学方法,以处理极其复杂的生物医学和网络科学数据,并帮助他们发展分析思维,统计推理,沟通技巧和创造力。将大力鼓励与会者为整个研讨会期间举行的海报会议提交摘要。该奖项将支持受邀演讲者,约15名本科生和研究生参加活动,并提出与研讨会主题密切相关的研究海报。 研讨会的主题包括深度学习,统计机器学习,差分隐私,贝叶斯数据集成和网络安全数据建模等,建立在Au在医学和网络科学研究方面的独特优势和重点之上。讲习班将采取具体研究概述和讲座的形式,由在各自专题领域中做过杰出工作的主要专家主讲。在这两天的每一天结束时,将举行一次小组讨论,由一位专家顾问和当天的所有发言者主持,以概括当天提出的各种主题,并回答听众的问题和评论。该奖项反映了NSF的法定使命,并被认为值得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来支持。
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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Jie Chen其他文献
{111} Orientation Induced Anisotropy of Shape Memory Effect in NiTiNb Pipe Joints
{111} NiTiNb 管接头中形状记忆效应的方向诱导各向异性
- DOI:
10.3390/met10060776 - 发表时间:
2020-06 - 期刊:
- 影响因子:2.9
- 作者:
Mingyan Sun;Qichao Fan;Yingying Wang;Qin Yang;Jie Chen;Shuke Huang;Yonghao Zhang - 通讯作者:
Yonghao Zhang
Spatial-temporal Invariant Contrastive Learning for Remote Sensing Scene Classification
遥感场景分类的时空不变对比学习
- DOI:
10.1109/lgrs.2022.3173419 - 发表时间:
2022 - 期刊:
- 影响因子:4.8
- 作者:
Haozhe Huang;Zhongfeng Mou;Yunying Li;Qiujun Li;Jie Chen;Haifeng Li - 通讯作者:
Haifeng Li
Circ_0008928 Promotes HBV-Positive Hepatocellular Carcinoma Progression Through the miR-873-3p/PAN3 Axis
Circ_0008928 通过 miR-873-3p/PAN3 轴促进 HBV 阳性肝细胞癌进展
- DOI:
- 发表时间:
- 期刊:
- 影响因子:3.5
- 作者:
Chang Zhao;Hua-ze Lu Mr.;Xiao-bo Wang;Meng-qi Zhang;Gu-chuan Qin;Tao Luo;Dan-ke Su;Jie Chen - 通讯作者:
Jie Chen
A Tradeoff-Based Interactive Multi-Objective Optimization Method Driven by Evolutionary Algorithms
进化算法驱动的基于权衡的交互式多目标优化方法
- DOI:
10.20965/jaciii.2017.p0284 - 发表时间:
2017-03 - 期刊:
- 影响因子:0.7
- 作者:
Lu Chen;Bin Xin;Jie Chen - 通讯作者:
Jie Chen
Proceedings of the 7th Asia-Pacific Conference on Control & Measurement (APCCM2006). (Chunlin Shen Ed.)(Design of Electric Cart with Function of Maintaining/ Improving the Physical Strength of the Elderly, (ISBN7-80183-737-1))
第七届亚太控制会议论文集
- DOI:
- 发表时间:
2006 - 期刊:
- 影响因子:0
- 作者:
Jie Chen;Zhi-Hong Peng;Jin-Hua She;and Min Wu Ed.;Jin-Hua She and Yasuhiro Ohyama - 通讯作者:
Jin-Hua She and Yasuhiro Ohyama
Jie Chen的其他文献
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{{ truncateString('Jie Chen', 18)}}的其他基金
Conference: Third Annual Data Science Workshop: Emerging Data Science Methods for Complex Biomedical and Cyber Data
会议:第三届年度数据科学研讨会:复杂生物医学和网络数据的新兴数据科学方法
- 批准号:
2241293 - 财政年份:2023
- 资助金额:
$ 1.39万 - 项目类别:
Standard Grant
Fundamental Performance Limitations of Networked Control Systems
网络控制系统的基本性能限制
- 批准号:
0801874 - 财政年份:2008
- 资助金额:
$ 1.39万 - 项目类别:
Standard Grant
Collaborative Research: Private Entrepreneurs as Agents of Political Change in China
合作研究:私营企业家作为中国政治变革的推动者
- 批准号:
0550518 - 财政年份:2006
- 资助金额:
$ 1.39万 - 项目类别:
Standard Grant
Statistical Approaches to the Analysis of Genome-wide Measurements: Significance of Periodic Gene Expression and Correlations of Gene Content in Completely Sequenced Genomes
全基因组测量分析的统计方法:完全测序的基因组中周期性基因表达的意义和基因内容的相关性
- 批准号:
0426148 - 财政年份:2004
- 资助金额:
$ 1.39万 - 项目类别:
Standard Grant
Linear and Nonlinear Indentification of Low Complexity Uncertain Models
低复杂度不确定模型的线性和非线性识别
- 批准号:
9912533 - 财政年份:2000
- 资助金额:
$ 1.39万 - 项目类别:
Standard Grant
CAREER: Robust Control-Oriented Identification: Theoretical Development and Experimental Validation
职业:稳健的面向控制的识别:理论发展和实验验证
- 批准号:
9623228 - 财政年份:1996
- 资助金额:
$ 1.39万 - 项目类别:
Standard Grant
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NSF Student Travel Grant for 33rd Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy 2019 (DBSec'19)
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Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin
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10551089 - 财政年份:2019
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$ 1.39万 - 项目类别:
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin
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Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin
任务领域 A 应包括队列成员的年度随访、临床事件调查、研究操作以及数据分析和稿件撰写。
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