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

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.
来自EPSCOR司法管辖区的许多科学领域中有许多优秀的研究人员。该研讨会旨在将这些科学家融合在一起,旨在刺激和促进人工智能(AI)专家与域科学家/研究人员/研究人员在计算科学之外的竞争性研究合作。该研讨会将为来自EPSCOR司法管辖区的研究人员提供无价的机会,以学习和了解同龄人的当前研究和成就,并讨论建立跨犹太人的跨学科合作的机会。研讨会计划委员会将确保NSF EPSCOR司法管辖区,服务不足的团体和HBCU的广泛参与。该研讨会将在科学,技术,工程和数学(STEM),健康与医学,人类和社会科学方面举办AI会议。在研讨会期间,将有来自各种研究领域,简短的研究演示,小组讨论和海报会议的著名主题演讲者。该议程还将包括专门设计的培训课程,以练习讨论的原则并为来自所有学科的培训学生和研究人员提供机会。该研讨会将使研究人员聚集在一起讨论当前的边境研究以及AI在解决各个学科的科学挑战方面的潜在和局限性。学科包括STEM,统计,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问题,并从各个领域的科学问题挑战,在各种领域中,将AI知识与领域知识结合在一起至关重要。 “没有边界思维(NBT)是定义在解决真正科学挑战时定义的无限问题”。预期的研讨会包括:(1)与AI专家和领域科学家开发合作研究项目; (2)计划为AI培训和教育的EPSCOR国家AI-Campus开发; (3)在NSF EPSCOR管辖区之间建立牢固的合作和联系,继续促进NSF EPSCOR管辖区(及以后)之间的研究合作; (4)增强学生发展AI知识和技术的机会,以及在智力,技术上和地理上扩大其职业发展的机会。将建立一个研讨会网站,以促进参与,并允许公众跟踪研讨会期间所涉及的资源。还将建立与其他EPSCOR管辖区组的联系和链接。所有参与的教师都将被邀请提交一份两页的摘要,重点介绍了他们的研究方法,以及他们当前资助和无资助的研究工作的研究和教育成就。这些摘要将在会议前诉讼中发表,并将其分发给所有会议参与者。此外,所有会议演讲都将在会议后诉讼中汇编。我们将收集和编译研讨会上合作研究活动的新闻,照片和视频,并向公众提供信息。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子和更广泛影响的评估审查标准来通过评估来获得支持的。

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)
Editorial
社论
  • DOI:
    10.1017/s135577181400003x
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0.6
  • 作者:
    Blackburn M
  • 通讯作者:
    Blackburn M
NBT (No-Boundary Thinking): Needed to Attend to Ethical Implications of Data and AI
Team building without boundaries
团队建设无界限
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Xiuzhen Huang其他文献

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
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
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
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
Stochastic k-Tree Grammar and Its Application in Biomolecular Structure Modeling
随机k树语法及其在生物分子结构建模中的应用
  • DOI:
    10.1007/978-3-319-04921-2_25
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Liang Ding;Abdul Samad;Xingran Xue;Xiuzhen Huang;R. Malmberg;Liming Cai
  • 通讯作者:
    Liming Cai

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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