Collaborative Research: Internship Network in the Mathematical Sciences

合作研究:数学科学实习网络

基本信息

项目摘要

This project addresses a key challenge in graduate education in the mathematical sciences. While employment opportunities in academia are decreasing or constant in number, the annual number of PhDs awarded in the mathematical sciences has increased significantly in the past two decades. Most mathematical sciences PhD recipients now pursue careers in business, industry, or government (BIG) jobs. Opportunities for students to learn about potential BIG careers during graduate study rather than afterward would facilitate much more efficient deployment of the nation’s scientific and intellectual capital. The need is great to provide training and career experiences to graduate students that intentionally prepare them for mathematically meaningful career paths in business, industry, and government. This project aims squarely at this unmet need, while simultaneously aiming to strengthen the competitiveness of participating BIG organizations by providing them access to highly knowledgeable people able to apply advanced techniques from the mathematical sciences. To accomplish these goals, hub-and-spoke internship networks will be created in two geographic regions. The spokes connect the hub universities to nodes, which are nearby institutions having sizable mathematical sciences graduate programs. The hubs will organize systematic training programs on technical and professional skills, to prepare students for productive internships in BIG. Students will be carefully matched with internship projects created through the efforts of specialist Project Developers based at the hubs. The impact of the project will be substantial for the participating BIG organizations. Interns will create new R&D tools that lead to greater efficiency, productivity, and profitability. Conversely, questions arising from industry can initiate new academic research directions in mathematics and statistics. Educational and life impacts will be felt as internship experiences empower graduates to pursue wider ranges of employment opportunities. Engagement of students from under-represented groups will increase diversity in BIG and open doors for the students toward high-ranking positions, where they can serve as role models. Further, BIG employers will come to appreciate the talents offered by graduate programs in the mathematical sciences. The network structure enables sharing of resources and best practices and lays the groundwork for scaling up in future. Anticipated lasting impacts include (i) the establishment of enduring industry-university collaborations with ongoing internship placements and (ii) the creation of a new departmental culture in the mathematical sciences in which graduate career paths to industry and government are visible, valued, and viable.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.
该项目解决了数学科学研究生教育中的一个关键挑战。虽然学术界的就业机会在数量上减少或保持不变,但在过去二十年中,数学科学领域每年授予的博士学位数量显着增加。大多数数学科学博士学位获得者现在从事商业,工业或政府(BIG)工作。让学生在研究生学习期间而不是之后有机会了解潜在的大职业,将有助于更有效地部署国家的科学和智力资本。需要是伟大的,以提供培训和职业生涯的经验,有意准备他们在商业,工业和政府的数学有意义的职业道路的研究生。该项目的目的是直接在这一未满足的需求,同时旨在加强参与大组织的竞争力,为他们提供能够应用先进的技术,从数学科学知识渊博的人。为了实现这些目标,将在两个地理区域建立中心辐射实习网络。辐条将中心大学与节点连接起来,节点是附近拥有大量数学科学研究生课程的机构。这些中心将组织系统的技术和专业技能培训方案,为学生在BIG的生产实习做好准备。学生将与通过中心的专业项目开发人员的努力创建的实习项目仔细匹配。该项目将对参与的BIG组织产生重大影响。实习生将创造新的研发工具,从而提高效率,生产力和盈利能力。相反,来自工业的问题可以启动数学和统计学的新学术研究方向。教育和生活的影响将感受到实习经验授权毕业生追求更广泛的就业机会。 来自代表性不足群体的学生的参与将增加BIG的多样性,并为学生打开通往高级职位的大门,在那里他们可以作为榜样。此外,大雇主将开始欣赏数学科学研究生课程所提供的人才。网络结构使资源和最佳做法得以共享,并为今后扩大规模奠定基础。预期的持久影响包括:(一)建立持久的产学合作,并持续进行实习;(二)在数学科学领域建立一种新的部门文化,在这种文化中,毕业生通往行业和政府的职业道路是可见的,有价值的,该奖项反映了NSF的法定使命,并被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准。

项目成果

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Richard Laugesen其他文献

Richard Laugesen的其他文献

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{{ truncateString('Richard Laugesen', 18)}}的其他基金

Spectral Shape Optimization: Extremality and Curvature
谱形优化:极值和曲率
  • 批准号:
    2246537
  • 财政年份:
    2023
  • 资助金额:
    $ 198.65万
  • 项目类别:
    Standard Grant
Special Meeting: Illinois/Missouri Applied Harmonic Analysis Seminars
特别会议:伊利诺伊州/密苏里州应用谐波分析研讨会
  • 批准号:
    0751046
  • 财政年份:
    2008
  • 资助金额:
    $ 198.65万
  • 项目类别:
    Standard Grant
Wavelet Frames and Bases, and Fourth Order "thin film" Eigenproblems
小波框架和基,以及四阶“薄膜”本征问题
  • 批准号:
    0140481
  • 财政年份:
    2002
  • 资助金额:
    $ 198.65万
  • 项目类别:
    Continuing Grant
Eigenvalues for Vibrating Plates and for Thin Film Equations
振动板和薄膜方程的特征值
  • 批准号:
    9970228
  • 财政年份:
    1999
  • 资助金额:
    $ 198.65万
  • 项目类别:
    Standard Grant
Mathematical Sciences: Extremal Problems for Eigenvalues, Heat Kernels and Energies
数学科学:特征值、热核和能量的极值问题
  • 批准号:
    9896042
  • 财政年份:
    1997
  • 资助金额:
    $ 198.65万
  • 项目类别:
    Standard Grant
Mathematical Sciences: Extremal Problems for Eigenvalues, Heat Kernels and Energies
数学科学:特征值、热核和能量的极值问题
  • 批准号:
    9622837
  • 财政年份:
    1996
  • 资助金额:
    $ 198.65万
  • 项目类别:
    Standard Grant
Mathematical Sciences: Isoperimetric and Symmetrization Problems
数学科学:等周和对称化问题
  • 批准号:
    9414149
  • 财政年份:
    1994
  • 资助金额:
    $ 198.65万
  • 项目类别:
    Standard Grant

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Iowa Research Administration Internship Student Experience (I-RAISE)
爱荷华州研究管理实习生体验(I-RAISE)
  • 批准号:
    2341945
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Enhancing Access to STEM Careers by Facilitating Transitions from Course-based to Internship-based Undergraduate Research Experiences
通过促进从基于课程的本科研究经验向基于实习的本科研究经验的转变,增加获得 STEM 职业的机会
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