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)
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
中文摘要
在系统生物学中,生物网络是建模和分析复杂现象的重要工具。计算网络生物学是一个涵盖生物学、计算机科学和建模的跨学科领域,近年来取得了长足的发展。第八届计算网络生物学:建模、分析和控制国际研讨会(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8名研究生参加CNB-MAC的会议旅行。通过参加本次研讨会,学生将获得计算网络生物学最新进展的第一手知识,这将对他们的研究生涯产生持久的影响。他们还将有机会展示和讨论自己的研究成果,并从知名研究人员那里获得宝贵的反馈和指导。此外,CNB-MAC将促进与会者之间的网络和协作,在计算网络生物学社区内建立有意义的联系。这项旅行支持奖将为研究生提供宝贵的机会,与CNB-MAC的计算网络生物学社区接触。CNB-MAC 2023将与ACM生物信息学、计算生物学和健康信息学会议同时举行,这是ACM生物信息学特别兴趣小组的旗舰会议。研讨会旨在为展示计算网络生物学的最新进展提供一个国际科学平台,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重复和有意义的科学知识方面的重要性。CNB-MAC邀请未在其他地方发表的新发现的原创研究论文,展示最近期刊出版物进展的重点摘要,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研讨会为计算网络生物学的年轻研究人员提供了一个绝佳的场所,让他们分享想法,进行深入的学术讨论,最终为该领域的进步做出贡献。这个NSF奖支持至少8名研究生前往CNB-MAC的旅行,将为获奖者提供必要的网络和专业发展机会,显著减轻与会议出席相关的经济负担,特别是对于导师无法支付注册和旅行费用的学生。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。
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
CAREER: Towards a Living Neuron Twin for Improving Human Cognitive Health
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批准号:2239782
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项目类别:Standard Grant
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资助金额:$50.13万
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财政年份:2023
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负责人:Minghan Chen
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依托单位:
海外基金