Workshop on Advances in Mathematical and Theoretical Biology

数学和理论生物学进展研讨会

基本信息

  • 批准号:
    2234176
  • 负责人:
  • 金额:
    $ 2.7万
  • 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
  • 起止时间:
    2023-03-01 至 2024-02-29
  • 项目状态:
    已结题

项目摘要

This award supports participation in the workshop "Advances in Mathematical and Theoretical Biology" held at Vanderbilt University, Nashville, March 17-19, 2023. The focus will be on modeling and analysis of mathematical models with different aspects of biological applications, such as infectious diseases, cancer and treatment, and population dynamics. The workshop will highlight significant recent developments in these areas and provide a forum for the participants to meet and communicate their recent work. The goals of the workshop are to: (1) to bring together leading researchers from different areas and backgrounds of mathematical and theoretical biology to communicate and exchange ideas; (2) study challenging health problems, such as the COVID-19 pandemic, cancer modeling and treatment, emerging diseases, etc.; (3) expose younger researchers (undergraduate/graduate students and postdocs) to the latest developments in these areas; and (4) broaden and stimulate the education and research of young, female, and underrepresented researchers. Mathematical and theoretical biology is an interdisciplinary field that uses tools from analytical and numerical mathematics to address questions related to biology. The recent two decades have witnessed tremendous growth in this area, and emerging questions from biology have brought forward new and exciting mathematical questions. This workshop will bring together researchers from different mathematical areas at several academic career stages, facilitating the initiation of collaborative research among the attendees. The workshop will feature six plenary speakers from the USA, Canada, France, and Mexico and forty invited speakers ranging from senior level researchers to early-career researchers and students. A poster session will promote undergraduate and graduate research. By bringing together a new generation of researchers along with established experts, the workshop aims to cultivate new collaborations and networks that can help junior researchers as they advance their careers.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.
该奖项支持参加2023年3月17日至19日在纳什维尔范德比尔特大学举行的“数学与理论生物学进展”研讨会。重点将放在数学模型的建模和分析上,这些模型涉及生物应用的不同方面,如传染病、癌症和治疗,以及种群动态。讲习班将突出这些领域最近的重大事态发展,并为与会者提供一个论坛,让他们见面并交流他们最近的工作。工作坊的目标是:(1)汇聚来自不同领域和不同数学和理论生物学背景的顶尖研究人员,交流思想;(2)研究具有挑战性的健康问题,如新冠肺炎大流行、癌症建模和治疗、新出现的疾病等;(3)使年轻研究人员(本科生/研究生和博士后)接触到这些领域的最新发展;以及(4)扩大和刺激年轻、女性和代表性不足的研究人员的教育和研究。数学和理论生物学是一个跨学科的领域,它使用分析和数值数学的工具来解决与生物学有关的问题。近二十年来,这一领域取得了巨大的发展,来自生物学的新问题提出了新的令人兴奋的数学问题。这次工作坊将汇集来自不同数学领域、处于不同学术生涯阶段的研究人员,促进与会者之间的合作研究。研讨会将有来自美国、加拿大、法国和墨西哥的6名全体演讲者和40名特邀演讲者,从高级研究人员到职业生涯早期的研究人员和学生。海报会议将促进本科生和研究生的研究。通过将新一代研究人员与知名专家聚集在一起,研讨会旨在培养新的合作和网络,以帮助初级研究人员在他们的职业生涯中取得进步。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Xinyue Zhao其他文献

Activatable Near-Infrared Fluorescent Organic Nanoprobe for Hypochlorous Acid Detection in the Early Diagnosis of Rheumatoid Arthritis
可激活近红外荧光有机纳米探针用于类风湿关节炎早期诊断中的次氯酸检测
  • DOI:
    10.1021/acs.analchem.1c05184
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    7.4
  • 作者:
    Suya Zhang;Lulu Ning;Zhihui Song;Xinyue Zhao;Feng Guan;Xiao-Feng Yang;Jianjian Zhang
  • 通讯作者:
    Jianjian Zhang
A novel vision-based mold monitoring system in an environment of intense vibration
一种新型的强振动环境下基于视觉的模具监控系统
  • DOI:
    10.1088/1361-6501/aa8537
  • 发表时间:
    2017-09
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Fen Hu;Zaixing He;Xinyue Zhao;Shuyou Zhang
  • 通讯作者:
    Shuyou Zhang
Improving the processability and cycling stability of nano-LiFePO4 cathode by using PVDF/TX binary binder
使用PVDF/TX二元粘合剂提高纳米LiFePO4正极的加工性能和循环稳定性
  • DOI:
    10.1080/09276440.2019.1578574
  • 发表时间:
    2019-03
  • 期刊:
  • 影响因子:
    2.6
  • 作者:
    Shuling Liu;Haoxiang Zhong;Congcong Zhang;Xiaodan Yan;Xinyue Zhao;Lingzhi Zhang
  • 通讯作者:
    Lingzhi Zhang
A novel short‐term load forecasting approach based on kernel extreme learning machine: A provincial case in China
一种基于核极限学习机的新型短期负荷预测方法:中国省级案例
  • DOI:
    10.1049/rpg2.12373
  • 发表时间:
    2022-03
  • 期刊:
  • 影响因子:
    2.6
  • 作者:
    Xinyue Zhao;Jianxiao Wang;Tiance Zhang;Da Cui;Gengyin Li;Ming Zhou
  • 通讯作者:
    Ming Zhou
Eco-Efficiency of End-of-Pipe Systems: An Extended Environmental Cost Efficiency Framework for Wastewater Treatment
末端系统的生态效率:废水处理的扩展环境成本效率框架
  • DOI:
    10.3390/w12020454
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Xinyue Zhao;Chaofan Zhang;Shunwen Bai
  • 通讯作者:
    Shunwen Bai

Xinyue Zhao的其他文献

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