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NSF Student Travel Grant for the 2023 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)

NSF Student Travel Grant for the 2023 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)
NSF 学生旅费资助 2023 年计算网络生物学国际研讨会:建模、分析和控制 (CNB-MAC)
批准号:
2330723
负责人:
Minghan Chen
金额:
$1.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-06-15 至 2024-05-31

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中文摘要
翻译
生物网络是系统生物学中建模和分析复杂现象的重要工具。计算网络生物学,一个跨学科的领域,包括生物学,计算机科学和建模,近年来已经见证了实质性的增长。第八届计算网络生物学国际研讨会:建模,分析和控制(CNB-MAC 2023)将于2023年9月3日在德克萨斯州休斯顿举行。该奖项将支持至少八名研究生参加CNB-MAC的会议旅行。通过参加这个研讨会,学生将获得计算网络生物学最新进展的第一手资料,这将对他们的研究生涯产生持久的影响。他们也将有机会介绍和讨论自己的研究成果,从建立研究人员的宝贵反馈和指导中受益。此外,CNB-MAC将促进与会者之间的网络和协作,促进计算网络生物学社区内有意义的联系。该旅行支持奖将为研究生提供宝贵的机会,让他们参与CNB-MAC的计算网络生物学社区。CNB-MAC 2023将与ACM的生物信息学,计算生物学和健康信息学会议一起举行,这是ACM生物信息学特别兴趣小组的旗舰会议。该研讨会旨在提供一个国际科学平台,介绍计算网络生物学的最新进展,同时强调严格的数学建模在将大型生物医学数据转化为可复制和有意义的科学知识方面的重要性。CNB-MAC邀请报告未在其他地方发表的新发现的原创研究论文,突出展示最近期刊出版物进展的摘要,以及快速传播计算网络生物学最新研究成果的海报摘要。CNB-MAC研讨会是计算网络生物学年轻研究人员分享想法和进行深入学术讨论的绝佳场所,最终有助于该领域的进步。该NSF奖项支持至少八名研究生前往CNB-MAC,将为获奖者提供必要的网络和专业发展机会,大大减轻与出席会议相关的经济负担,特别是对于那些导师无法支付注册和旅行费用的学生。该奖项反映了NSF的法定使命,并通过使用基金会的学术价值和更广泛的影响审查标准。
英文摘要
Biological networks are vital tools for modeling and analyzing complex phenomena in systems biology. Computational network biology, an interdisciplinary field encompassing biology, computer science, and modeling, has witnessed substantial growth in recent years. The Eighth International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC 2023) will take place in Houston, Texas, on September 3, 2023. This award will support conference travel for a minimum of eight graduate students to attend CNB-MAC. By participating in this workshop, students will gain firsthand knowledge of recent advancements in computational network biology, which will have a lasting impact on their research careers. They will also have the opportunity to present and discuss their own research findings, benefiting from valuable feedback and mentorship from established researchers. Furthermore, CNB-MAC will facilitate networking and collaboration among attendees, fostering meaningful connections within the computational network biology community. This travel support award will offer graduate students valuable opportunities to engage with the computational network biology community at CNB-MAC.CNB-MAC 2023 will be held alongside ACM's Conference on Bioinformatics, Computational Biology, and Health Informatics, the flagship conference of the ACM Special Interest Group in Bioinformatics. The workshop aims to provide an international scientific platform for presenting recent advances in computational network biology while emphasizing the importance of rigorous mathematical modeling in transforming large biomedical data into reproducible and meaningful scientific knowledge. CNB-MAC invites original research papers reporting new findings that have not been published elsewhere, highlights abstracts showcasing recent journal publications' advancements, and poster abstracts for rapid dissemination of the latest research results in computational network biology. CNB-MAC workshops serve as an excellent venue for young researchers in computational network biology to share ideas and engage in deep scholarly discussions, ultimately contributing to the field's advancement. This NSF award supporting travel to CNB-MAC for a minimum of eight graduate students will provide essential networking and professional development opportunities for the awardees, significantly alleviating the financial burden associated with conference attendance, particularly for students whose mentors are unable to cover registration and travel expenses.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.
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CAREER: Towards a Living Neuron Twin for Improving Human Cognitive Health
  • 批准号:
    2239782
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.13万
  • 财政年份:
    2023
  • 负责人:
    Minghan Chen
  • 依托单位:
海外基金