Joint Applied Mathematics and Statistics Scholarships

应用数学和统计学联合奖学金

基本信息

  • 批准号:
    2221491
  • 负责人:
  • 金额:
    $ 150万
  • 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:
    2023-01-01 至 2028-12-31
  • 项目状态:
    未结题

项目摘要

This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by supporting the retention and graduation of high-achieving, low-income students with demonstrated financial need at Florida International University (FIU). FIU is an R1 public research university located in Miami and is one of the largest universities in the country with over 54,000 students. FIU is also a Hispanic-Serving Institution (HSI) and awards over 60% of bachelor and master degrees to Hispanic students. Over its 6-year duration, this project will fund renewable scholarships to about 80 unique full time students who are pursuing bachelor and graduate degrees in Mathematics and Statistics. Beyond monetary support for financially needy, academically talented students, the project aims to ensure their timely and successful degree completion and advancement to the next degree or successful career placement in STEM fields. To that end, cohorts of students ranging from undergraduate freshmen to first- and second-year graduate students will be invited to participate in a variety of academic and social activities, with a specific focus on vertical integration and future career skills and opportunities. The significance of this project is that it will offer a unique opportunity to increase the success of historically underrepresented groups in mathematics and statistics, and to develop deeper understanding of practices that support these groups. Educating the next generation of mathematical and statistical problem-solvers as well as disseminating novel educational and research ideas and results obtained from this project will be the outcomes of this project. The student cohorts will be integrated into an academic community by a novel approach that consists of undergraduate and graduate student teams continuously working or studying on the same research project or in the same area. This approach will promote camaraderie and cohesiveness that will make students own the success of a team endeavor. As a spark for this engine, scholars will be encouraged to participate in seminars, which will include vertical integration of students in cohorts and will consist of several high-impact educational and research practices organized and lead by the project team. Complementing their academic program will be a series of social engagements as well as guidance and participation in research summer programs, such as the local REU or other summer schools, all of which would further integrate them into the learning community.The overall goal of this project is to increase STEM degree completion of low-income, high-achieving undergraduates with demonstrated financial need. Students’ academic and social integration into the institution is vital to student retention, particularly, for first generation and low-income students. The success of educational programming is linked to university resources but more importantly the educational environment. The goal is to create an optimal learning environment for students with a hybrid approach that integrates more personalized mentoring with vertical integration that challenges students and provides the educational resources and opportunities of a large state university. By comparing the results of this project with approaches that are more traditional or approaches that require less engagement, the knowledge and understanding of how various factors and activities contribute to retention and student success will gauge project effectiveness. The effectiveness of project procedures and activities will be externally evaluated. Comparison of groups in longitudinal studies will be done with non-scholarship cohort Mathematics and Statistics majors matching similar characteristics to scholar cohort students (e.g., GPA prior to the S-STEM participation). Assessment measures will include graduation rates, time and credits to degree, upper division GPA, graduate school acceptance or employment within three months of graduation for both groups. Measurement of possible determining factors such as sense of community, project engagement, mentor rapport, relief from financial burden & time constraints will be explored for degree of influence. Results from this project will be disseminated across the university and at national academic conferences. Results will be submitted to appropriate journals and preprint servers when appropriate. This project is funded by NSF’s Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers, and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students.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.
该项目将有助于对受过良好教育的科学家,数学家,工程师和技术人员的国家需求,通过支持高成就,低收入学生的保留和毕业,证明在佛罗里达国际大学(FIU)的经济需要。FIU是一所位于迈阿密的R1公立研究型大学,是美国最大的大学之一,拥有超过54,000名学生。FIU也是一个西班牙裔服务机构(HSI),并授予超过60%的学士和硕士学位给西班牙裔学生。在6年的时间里,该项目将为大约80名正在攻读数学和统计学学士和研究生学位的全日制学生提供可再生奖学金。除了为经济上有需要的,学术上有才华的学生提供资金支持外,该项目还旨在确保他们及时,成功地完成学位并晋升到下一个学位或在STEM领域成功就业。为此,从本科新生到一年级和二年级研究生的学生将被邀请参加各种学术和社会活动,特别关注垂直整合和未来的职业技能和机会。该项目的意义在于,它将提供一个独特的机会,以提高历史上代表性不足的群体在数学和统计方面的成功,并加深对支持这些群体的做法的理解。教育下一代的数学和统计问题解决者,以及传播新的教育和研究的想法和从这个项目中获得的结果将是这个项目的成果。学生群体将通过一种新颖的方法融入学术社区,该方法由本科生和研究生团队组成,他们在同一研究项目或同一领域持续工作或学习。这种方法将促进同志情谊和凝聚力,使学生拥有团队奋进的成功。作为这一引擎的火花,将鼓励学者参加研讨会,其中将包括纵向整合学生的队列,并将包括由项目团队组织和领导的几个高影响力的教育和研究实践。除了学术课程之外,他们还将参与一系列的社会活动以及指导和参与研究暑期项目,例如当地的REU或其他暑期学校,所有这些都将进一步将他们融入学习社区。该项目的总体目标是提高低收入,高成就的本科生的STEM学位完成率。学生的学术和社会融入机构是至关重要的学生保留,特别是对第一代和低收入家庭的学生。教育规划的成功与大学资源有关,但更重要的是教育环境。目标是为学生创造一个最佳的学习环境,采用混合方法,将更具个性化的指导与垂直整合相结合,挑战学生,并提供大型州立大学的教育资源和机会。通过比较这个项目的结果与更传统的方法或需要较少参与的方法,对各种因素和活动如何有助于保留和学生成功的知识和理解将衡量项目的有效性。项目程序和活动的有效性将由外部评估。纵向研究中的群体比较将与非奖学金队列数学和统计学专业的学生进行比较,这些学生与奖学金队列学生具有相似的特征(例如,在参加S-STEM之前的GPA)。评估措施将包括毕业率,时间和学分学位,上师GPA,研究生院录取或就业三个月内毕业的两组。测量可能的决定性因素,如社区意识,项目参与,导师关系,减轻经济负担的时间限制,将探讨影响程度。该项目的成果将在整个大学和全国学术会议上传播。结果将提交给适当的期刊和预印本服务器在适当的时候。该项目由NSF的科学,技术,工程和数学奖学金计划资助,该计划旨在增加低收入学术人才的数量,这些学生表现出经济需求,并获得STEM领域的学位。它还旨在改善未来STEM工作者的教育,并产生关于低收入学生的学术成功,保留,转移,毕业和学术/职业道路的知识。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。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Svetlana Roudenko其他文献

Special Issue on Mathematical Methods in Medical Imaging
  • DOI:
    10.1007/s10915-012-9576-9
  • 发表时间:
    2012-01-18
  • 期刊:
  • 影响因子:
    3.300
  • 作者:
    Anne Gelb;Rosemary Renaut;Svetlana Roudenko;Douglas Cochran
  • 通讯作者:
    Douglas Cochran
Littlewood–Paley theory for matrix-weighted function spaces
  • DOI:
    10.1007/s00208-020-02088-0
  • 发表时间:
    2021-01-16
  • 期刊:
  • 影响因子:
    1.400
  • 作者:
    Michael Frazier;Svetlana Roudenko
  • 通讯作者:
    Svetlana Roudenko

Svetlana Roudenko的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Svetlana Roudenko', 18)}}的其他基金

Fifth Workshop on Nonlinear Dispersive Equations
第五届非线性色散方程研讨会
  • 批准号:
    2231021
  • 财政年份:
    2022
  • 资助金额:
    $ 150万
  • 项目类别:
    Standard Grant
Collaborative Research: Nonlinear Dynamics and Spectral Analysis in Dispersive Partial Differential Equations
合作研究:色散偏微分方程中的非线性动力学和谱分析
  • 批准号:
    2055130
  • 财政年份:
    2021
  • 资助金额:
    $ 150万
  • 项目类别:
    Standard Grant
REU Site: Applied Mathematics Research Program for Undergraduates
REU 网站:本科生应用数学研究计划
  • 批准号:
    2050971
  • 财政年份:
    2021
  • 资助金额:
    $ 150万
  • 项目类别:
    Continuing Grant
Nonlinear Partial Differential Equations and Many Particle Systems
非线性偏微分方程和许多粒子系统
  • 批准号:
    1838371
  • 财政年份:
    2018
  • 资助金额:
    $ 150万
  • 项目类别:
    Standard Grant
Nonlinear Phenomena in Stochastic and Deterministic Dispersive Partial Differential Equations
随机和确定性色散偏微分方程中的非线性现象
  • 批准号:
    1927258
  • 财政年份:
    2018
  • 资助金额:
    $ 150万
  • 项目类别:
    Continuing Grant
Nonlinear Phenomena in Stochastic and Deterministic Dispersive Partial Differential Equations
随机和确定性色散偏微分方程中的非线性现象
  • 批准号:
    1815873
  • 财政年份:
    2018
  • 资助金额:
    $ 150万
  • 项目类别:
    Continuing Grant
CAREER: Nonlinear phenomena in evolution PDE
职业:演化偏微分方程中的非线性现象
  • 批准号:
    1929029
  • 财政年份:
    2018
  • 资助金额:
    $ 150万
  • 项目类别:
    Continuing Grant
Nonlinear Partial Differential Equations and Many Particle Systems
非线性偏微分方程和许多粒子系统
  • 批准号:
    1904139
  • 财政年份:
    2018
  • 资助金额:
    $ 150万
  • 项目类别:
    Standard Grant
International Conference on Partial Differential Equations (COPDE-2015)
国际偏微分方程会议(COPDE-2015)
  • 批准号:
    1535822
  • 财政年份:
    2015
  • 资助金额:
    $ 150万
  • 项目类别:
    Standard Grant
CAREER: Nonlinear phenomena in evolution PDE
职业:演化偏微分方程中的非线性现象
  • 批准号:
    1151618
  • 财政年份:
    2012
  • 资助金额:
    $ 150万
  • 项目类别:
    Continuing Grant

相似国自然基金

普林斯顿应用数学指南(The Princeton Companion to Applied Mathematics )的翻译与出版
  • 批准号:
    12226506
  • 批准年份:
    2022
  • 资助金额:
    10.0 万元
  • 项目类别:
    数学天元基金项目

相似海外基金

REU Site: Applied Mathematics in Real World Problems
REU 网站:现实世界问题中的应用数学
  • 批准号:
    2349382
  • 财政年份:
    2024
  • 资助金额:
    $ 150万
  • 项目类别:
    Continuing Grant
REU Site: Computational and Applied Mathematics Program
REU 网站:计算和应用数学项目
  • 批准号:
    2348984
  • 财政年份:
    2024
  • 资助金额:
    $ 150万
  • 项目类别:
    Continuing Grant
Unpacking the immune system with applied mathematics
用应用数学解开免疫系统的面纱
  • 批准号:
    DP230100485
  • 财政年份:
    2023
  • 资助金额:
    $ 150万
  • 项目类别:
    Discovery Projects
Statistical Applied Mathematics
统计应用数学
  • 批准号:
    2889697
  • 财政年份:
    2023
  • 资助金额:
    $ 150万
  • 项目类别:
    Studentship
Statistical Applied Mathematics
统计应用数学
  • 批准号:
    2886733
  • 财政年份:
    2023
  • 资助金额:
    $ 150万
  • 项目类别:
    Studentship
Statistical Applied Mathematics
统计应用数学
  • 批准号:
    2886847
  • 财政年份:
    2023
  • 资助金额:
    $ 150万
  • 项目类别:
    Studentship
Statistical Applied Mathematics
统计应用数学
  • 批准号:
    2886875
  • 财政年份:
    2023
  • 资助金额:
    $ 150万
  • 项目类别:
    Studentship
Toward Analyses of Mathematics Classroom Discourse at Scale Using Tools from Applied Mathematics
使用应用数学工具对数学课堂话语进行大规模分析
  • 批准号:
    2218770
  • 财政年份:
    2023
  • 资助金额:
    $ 150万
  • 项目类别:
    Standard Grant
Statistical Applied Mathematics
统计应用数学
  • 批准号:
    2886804
  • 财政年份:
    2023
  • 资助金额:
    $ 150万
  • 项目类别:
    Studentship
REU Site: Research Experience for Undergraduates in Applied and Computational Mathematics
REU 网站:应用与计算数学本科生的研究经验
  • 批准号:
    2243772
  • 财政年份:
    2023
  • 资助金额:
    $ 150万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了