NSF EPSCoR Workshop: Artificial Intelligence (AI) with No-Boundary Thinking (NBT) to Foster Collaborations in Research, Education and Training
NSF EPSCoR 研讨会:人工智能 (AI) 与无边界思维 (NBT) 促进研究、教育和培训方面的合作
基本信息
- 批准号:2054737
- 负责人:
- 金额:$ 5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-04-01 至 2023-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
There are many excellent researchers from numerous scientific fields scattered across the EPSCoR jurisdictions. This workshop aims to bring these scientists together in an environment designed to stimulate and foster competitive research collaborations between artificial intelligence (AI) experts and domain scientists/researchers outside computational science. This workshop will provide invaluable opportunities for researchers from EPSCoR jurisdictions to learn and understand the current research and accomplishments of their peers, and discuss opportunities for establishing cross-jurisdictional, inter-disciplinary collaborations. The workshop planning committee will ensure broad participation of NSF EPSCoR jurisdictions, underserved groups, and HBCUs. The workshop will have sessions for AI in science, technology, engineering and mathematics (STEM), health and medicine, humanities and social science. During the workshop, there will be prestigious keynote speakers from a diversity of research fields, short research presentations, panel discussions and a poster session. The agenda will also include specifically designed training sessions to practice the principles discussed and provide opportunities for training students and researchers from all disciplines.The workshop will bring researchers together to discuss current frontier research as well as potentials and limitations of AI in addressing science challenges from various disciplines. These disciplines include STEM, statistics, business, art, law, journalism, social science, linguistics, history, etc. The workshop focus is defining problems and challenging science questions from varied domains where it is critical to bring AI knowledge together with domain knowledge. “No-Boundary Thinking (NBT) is no-boundary problem defining on time-chain to address real science challenges”. The anticipated workshop outcomes include: (1) Development of collaborative research projects with AI experts and domain scientists; (2) Planning for the development of an EPSCoR National AI-Campus for AI training and education; (3) Building strong collaborations and connections among NSF EPSCoR jurisdictions, continuing to foster research collaborations among NSF EPSCoR jurisdictions (and beyond); (4) Enhancing opportunities for students to develop AI knowledge and technology, as well as to intellectually, technically, and geographically broaden their opportunities for career development. A workshop website will be established to facilitate participation and allow the public to track the resources addressed during the workshop. There will also be contacts and links to the groups of other EPSCoR jurisdictions. All participating faculty will be invited to submit a two-page summary highlighting their research methodology, and both research and educational achievements of their current funded and unfunded research work. These summaries will be published in pre-conference proceedings to be distributed to all conference attendees. Furthermore, all conference presentations will be compiled in a post-conference proceeding. We will gather and compile news, photos and videos of the collaborative research activities at the workshop and to make the information available to the public.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.
有许多优秀的研究人员从众多的科学领域分散在EPSCoR管辖。本次研讨会旨在将这些科学家聚集在一个旨在刺激和促进人工智能(AI)专家与计算科学以外的领域科学家/研究人员之间竞争性研究合作的环境中。本次研讨会将为EPSCoR辖区的研究人员提供宝贵的机会,以学习和了解同行的最新研究和成就,并讨论建立跨辖区、跨学科合作的机会。研讨会计划委员会将确保NSF EPSCoR辖区、服务不足群体和hbcu的广泛参与。研讨会将围绕人工智能在科学、技术、工程和数学(STEM)、健康和医学、人文和社会科学等领域展开。在研讨会期间,将有来自不同研究领域的知名主题演讲者,简短的研究报告,小组讨论和海报会议。议程还将包括专门设计的培训课程,以实践所讨论的原则,并为培训来自所有学科的学生和研究人员提供机会。研讨会将汇集研究人员,讨论当前的前沿研究以及人工智能在应对各学科科学挑战方面的潜力和局限性。这些学科包括STEM、统计学、商业、艺术、法律、新闻、社会科学、语言学、历史等。研讨会的重点是定义来自不同领域的问题和挑战性科学问题,将人工智能知识与领域知识结合起来至关重要。“无边界思维(NBT)是在时间链上定义的无边界问题,以解决真正的科学挑战”。预计研讨会成果包括:(1)与人工智能专家和领域科学家开展合作研究项目;(2)规划建设EPSCoR国家人工智能校园,开展人工智能培训和教育;(3)在NSF EPSCoR辖区之间建立强有力的合作和联系,继续促进NSF EPSCoR辖区(及其他)之间的研究合作;(4)增加学生发展人工智能知识和技术的机会,并在智力上、技术上和地理上拓宽他们的职业发展机会。工作坊将设立一个网站,方便市民参与,并让市民追踪工作坊期间所涉及的资源。还将与其他EPSCoR管辖区的小组建立联系和联系。所有参与的教师将被邀请提交一份两页的摘要,突出他们的研究方法,以及他们目前资助和未资助的研究工作的研究和教育成果。这些摘要将在会前论文集中发表,并分发给所有与会者。此外,所有会议发言都将在会后文集中汇编。我们将收集和整理研讨会上合作研究活动的新闻、照片和视频,并将这些信息提供给公众。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(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Team building without boundaries
团队建设无界限
- DOI:10.1145/3535508.3545596
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Perkins, Andy;Peckham, Joan;Obafemi-Ajayi, Tayo;Huang, Xiuzhen
- 通讯作者:Huang, Xiuzhen
COVID19 Diagnosis Using Chest X-rays and Transfer Learning.
- DOI:pii: 2022.10.09.22280877. doi: 10.1101/2022.10.09.22280877
- 发表时间:2022-10-12
- 期刊:
- 影响因子:0
- 作者:Stubblefield J;Causey J;Dale D;Qualls J;Bellis E;Fowler J;Walker K;Huang X
- 通讯作者:Huang X
Study the combination of brain MRI imaging and other datatypes to improve Alzheimer's disease diagnosis
研究脑部 MRI 成像与其他数据类型的结合,以改善阿尔茨海默病的诊断
- DOI:10.1101/2022.10.30.22281735
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:J. Stubblefield;A. Kronberger;J. Causey;J. Qualls;J. Fowler;K. Zeng;K. Walker;X. Huang
- 通讯作者:X. Huang
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Xiuzhen Huang其他文献
Advancing LGBTQ+ inclusion in STEM education and AI research
推动 LGBTQ 融入 STEM 教育和人工智能研究
- DOI:
10.1016/j.patter.2024.101010 - 发表时间:
2024 - 期刊:
- 影响因子:6.5
- 作者:
Emily Wong;R. Urbanowicz;T. Bright;Nicholas P. Tatonetti;Yi;Xiuzhen Huang;Jason H. Moore;Pei - 通讯作者:
Pei
Fixed-Parameter Approximation: Conceptual Framework and Approximability Results
固定参数逼近:概念框架和逼近性结果
- DOI:
- 发表时间:
2010 - 期刊:
- 影响因子:1.1
- 作者:
Liming Cai;Xiuzhen Huang - 通讯作者:
Xiuzhen Huang
On PTAS for Planar Graph Problems
平面图问题的 PTAS
- DOI:
10.1007/978-0-387-34735-6_24 - 发表时间:
2006 - 期刊:
- 影响因子:0
- 作者:
Xiuzhen Huang;Jianer Chen - 通讯作者:
Jianer Chen
Arterial Sca1+ vascular stem cells generate de novo smooth muscle for artery repair and regeneration
- DOI:
http://doi.org/10.1016/j.stem.2019.11.010 - 发表时间:
2019 - 期刊:
- 影响因子:23.9
- 作者:
Juan Tang;Haixiao Wang;Xiuzhen Huang;Fei Li;Huan Zhu;Yan Li;Lingjuan He;Hui Zhang;Wenjuan Pu;Kuo Liu;Huan Zhao;Jacob Fog Bentzon;Ying Yu;Yong Ji;Yu Nie;Xueying Tian;Li Zhang;Dong Gao;Bin Zhou - 通讯作者:
Bin Zhou
The antibacterial effect of bacteriophage-like gold nanoparticles
类噬菌体金纳米颗粒的抗菌作用
- DOI:
10.1142/s1793292021500752 - 发表时间:
2021 - 期刊:
- 影响因子:1.2
- 作者:
Xiuzhen Huang;Benben Lu;Yingxian Zhao;Zhiqiang Wang;Hongwei Wang;Lin Yuan - 通讯作者:
Lin Yuan
Xiuzhen Huang的其他文献
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{{ truncateString('Xiuzhen Huang', 18)}}的其他基金
SCH: EAGER: New Approach: Early Diagnosis of Alzheimer's Disease Based on Magnetic Resonance Imaging (MRI) via High-Dimensional Image Feature Identification
SCH:EAGER:新方法:通过高维图像特征识别基于磁共振成像 (MRI) 的阿尔茨海默病早期诊断
- 批准号:
1723529 - 财政年份:2017
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
III: EAGER: Novel algorithms for de novo transcriptome assembly using RNA-seq data and for metagenome assembly
III:EAGER:使用 RNA-seq 数据从头转录组组装和宏基因组组装的新算法
- 批准号:
1553680 - 财政年份:2015
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
EAGER: Building a Starting Core for No-Boundary Education and Research Network
EAGER:构建无边界教育研究网络的起始核心
- 批准号:
1452211 - 财政年份:2014
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
NSF EPSCoR Workshop in Bioinformatics to Foster Collaborative Research, March 3-5, 2013.
NSF EPSCoR 生物信息学促进合作研究研讨会,2013 年 3 月 3-5 日。
- 批准号:
1239812 - 财政年份:2012
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
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