Collaborative proposal: Faculty and Undergraduate Research Student Teams (FURST)
合作提案:教师和本科生研究生团队(FURST)
基本信息
- 批准号:1620196
- 负责人:
- 金额:$ 2.2万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-01-01 至 2019-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The Faculty and Undergraduate Research Student Teams (FURST) program brings together small research groups comprised of undergraduate students and faculty from primarily undergraduate institutions (PUI) in order to provide them with a year-long research experience. The program also provides a one month long intensive summer immersion for its participants at an established summer REU site at Fresno State. FURST students get an opportunity to participate in professional workshops, presentations and academic discussions along with the REU students, whereas FURST faculty can take advantage of an on-site, in-person research collaboration with their peers within the FURST program. The program's main goal is to foster both student and faculty research at PUIs, with the specific goal of producing student and faculty authored publications, as well as presentations. The program is designed to be inclusive and accessible to teams from institutions with varying research focus and support, in order to mitigate cultural changes at institutions which may not consider research a quintessential component of higher education.FURST students will be working on open problems in mathematics under the guidance of their faculty mentors. Research topics include community detection problems in networks, expanding the framework and analysis of the cop and robber game, the use of coarse Ricci curvature in data analysis and interpolation problems, the study and solution of the non-linear Riccati-Ermakov equation, as well as other non-linear dispersive partial differential equations. Strengthening their background in the selected research topic through readings and lecture at their home institutions will prepare FURST students to engage in research at the same speed as the REU students during the immersion phase. Students will be expected to submit the end product of their research for publication in a peer reviewed journal. FURST faculty will engage in solving open problems in their area of research while building collaborations with faculty at other institutions. Faculty are also expected to produce publishable work as a result of participating in the program. In accordance with the stated goals, the program will improve access to research for students at PUIs, where such opportunities are typically limited. It will also (re)-energize faculty at PUIs so that they remain active in research. By doing so, FURST will help transform the research culture at the participating institutions, especially since the bulk of the research activities will take place at FURST teams' home institutions. While FURST student participants will learn skills through the program that are invaluable in graduate school and in the scientific workplace, the program will broadly impact the students at the involved PUIs by demonstrating to them (through student talks and presentations) that research can be part of the undergraduate educational experience. Finally, through the immersion in an active REU site, FURST students will gain exposure to the workings of an REU program, and will be able to make better informed choices about applying to REU as a potential next step in their academic development.
教师和本科生研究学生团队 (FURST) 计划汇集了由本科生和主要来自本科院校 (PUI) 的教师组成的小型研究小组,以便为他们提供为期一年的研究经验。该计划还为参与者在弗雷斯诺州的一个已建立的夏季 REU 地点提供为期一个月的强化夏季沉浸式体验。 FURST 学生有机会与 REU 学生一起参加专业研讨会、演讲和学术讨论,而 FURST 教师则可以在 FURST 项目中与同行进行现场、面对面的研究合作。该项目的主要目标是促进 PUI 的学生和教师研究,具体目标是制作学生和教师撰写的出版物以及演示文稿。该项目旨在具有包容性,可供来自不同研究重点和支持的机构的团队使用,以减轻那些可能不认为研究是高等教育的典型组成部分的机构的文化变化。FURST 学生将致力于解决数学中的开放问题在他们的导师的指导下。研究课题包括网络中的社区发现问题、警察与强盗博弈的扩展框架和分析、粗里奇曲率在数据分析和插值问题中的使用、非线性Riccati-Ermakov方程的研究和求解,以及与其他非线性色散偏微分方程一样。通过在本国机构的阅读和讲座来加强他们对所选研究主题的背景,将使 FURST 学生做好准备,在沉浸阶段以与 REU 学生相同的速度从事研究。学生应提交其研究的最终成果,以便在同行评审的期刊上发表。 FURST 教师将致力于解决其研究领域的开放性问题,同时与其他机构的教师建立合作。教师还有望通过参与该计划来创作可发表的作品。根据既定目标,该计划将改善 PUI 学生进行研究的机会,而这些机会通常是有限的。它还将为 PUI 的教职人员注入(重新)活力,使他们继续积极从事研究。通过这样做,FURST 将有助于改变参与机构的研究文化,特别是因为大部分研究活动将在 FURST 团队的所在机构进行。虽然 FURST 学生参与者将通过该计划学习在研究生院和科学工作场所非常宝贵的技能,但该计划将通过向相关 PUI 的学生展示(通过学生演讲和演示)研究可以成为研究的一部分,从而对他们产生广泛影响。本科教育经历。最后,通过沉浸在活跃的 REU 网站中,FURST 学生将接触到 REU 项目的运作,并将能够就申请 REU 作为其学术发展的潜在下一步做出更明智的选择。
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)
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Erwin Suazo其他文献
Regularization by deep learning in signal processing
信号处理中深度学习的正则化
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Carlos Ramirez Villamarin;Erwin Suazo;T. Oraby - 通讯作者:
T. Oraby
Exact Solutions of Stochastic Burgers-KdV Equation with variable coefficients
变系数随机Burgers-KdV方程的精确解
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Kolade Adjibi;Allan Martinez;Miguel Mascorro;Carlos Montes;T. Oraby;Rita Sandoval;Erwin Suazo - 通讯作者:
Erwin Suazo
Erwin Suazo的其他文献
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{{ truncateString('Erwin Suazo', 18)}}的其他基金
REU Site: The University of Texas Rio Grande Valley REU Program on Applied Mathematics and Computational and Data Science
REU 网站:德克萨斯大学里奥格兰德河谷 REU 应用数学、计算和数据科学项目
- 批准号:
2150478 - 财政年份:2022
- 资助金额:
$ 2.2万 - 项目类别:
Standard Grant
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