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: $ 1万
• 依托单位: Wake Forest University
• 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
• 起止时间: 2023-06-15 至 2024-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2330723&HistoricalAwards=false
• 关键词: NSF; Student; Travel; Grant; 2023

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.

生物网络是系统生物学中复杂现象建模和分析的重要工具。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 8 名研究生参加的会议旅行CNB-MAC。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影响。他们还将有机会展示和讨论自己的研究成果，并受益于知名研究人员的宝贵反馈和指导。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界内有意义的联系。该旅行支持奖将为研究生提供参与 CNB-MAC 计算网络生物学社区的宝贵机会。CNB-MAC 2023 将与 ACM 生物信息学、计算生物学和健康信息学会议（ACM 特别旗舰会议）同时举行生物信息学兴趣小组。该研讨会旨在提供一个国际科学平台，展示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重复且有意义的科学知识方面的重要性。 CNB-MAC 邀请报道尚未在其他地方发表的新发现的原创研究论文、展示近期期刊出版物进展的重点摘要以及用于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领域的年轻研究人员提供了一个绝佳的场所，他们可以分享想法并进行深入的学术讨论，最终为该领域的进步做出贡献。该 NSF 奖项支持至少 8 名研究生前往 CNB-MAC，将为获奖者提供必要的社交和专业发展机会，从而显着减轻与出席会议相关的经济负担，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 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。