NSF EPSCoR Workshop: Artificial Intelligence (AI) with No-Boundary Thinking (NBT) to Foster Collaborations in Research, Education and Training
NSF EPSCoR Workshop: Artificial Intelligence (AI) with No-Boundary Thinking (NBT) to Foster Collaborations in Research, Education and Training
批准号:
2054737
负责人:
Xiuzhen Huang
金额:
$5.0万
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
项目状态:
已结题
起止时间:
2021-04-01 至 2023-03-31
中文摘要
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英文摘要
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.
期刊论文(6)
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Editorial
社论
DOI:
10.1017/s135577181400003x
发表时间:
2014
期刊:
Organised Sound
影响因子:
0.6
作者:
[Blackburn M]
通讯作者:
Blackburn M
Team building without boundaries
团队建设无界限
DOI:
10.1145/3535508.3545596
发表时间:
2022
期刊:
Computational Biology and Health Informatics
影响因子:
--
作者:
[Perkins, Andy, Peckham, Joan, Obafemi-Ajayi, Tayo, Huang, Xiuzhen]
通讯作者:
Huang, Xiuzhen
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:
medRxiv
影响因子:
--
作者:
[J. Stubblefield, A. Kronberger, J. Causey, J. Qualls, J. Fowler, K. Zeng, K. Walker, X. Huang]
通讯作者:
X. Huang
DOI:
10.1101/2022.10.09.22280877
发表时间:
2022-10-12
期刊:
medRxiv : the preprint server for health sciences
影响因子:
--
作者:
[Stubblefield J, Causey J, Dale D, Qualls J, Bellis E, Fowler J, Walker K, Huang X]
通讯作者:
Huang X
SCH: EAGER: New Approach: Early Diagnosis of Alzheimer's Disease Based on Magnetic Resonance Imaging (MRI) via High-Dimensional Image Feature Identification
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批准号:1723529
-
项目类别:Standard Grant
-
资助金额:$24.18万
-
财政年份:2017
-
负责人:Xiuzhen Huang
-
依托单位:
III: EAGER: Novel algorithms for de novo transcriptome assembly using RNA-seq data and for metagenome assembly
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批准号:1553680
-
项目类别:Standard Grant
-
资助金额:$9.93万
-
财政年份:2015
-
负责人:Xiuzhen Huang
-
依托单位:
EAGER: Building a Starting Core for No-Boundary Education and Research Network
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批准号:1452211
-
项目类别:Standard Grant
-
资助金额:$30.0万
-
财政年份:2014
-
负责人:Xiuzhen Huang
-
依托单位:
NSF EPSCoR Workshop in Bioinformatics to Foster Collaborative Research, March 3-5, 2013.
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批准号:1239812
-
项目类别:Standard Grant
-
资助金额:$10.0万
-
财政年份:2012
-
负责人:Xiuzhen Huang
-
依托单位:
海外基金