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TRIPODS+X:EDU: An MBI TGDA+Neuro Program for Undergraduates

TRIPODS X:EDU：面向本科生的 MBI TGDA 神经计划

基本信息

批准号：
1839356
负责人：
Sebastian Kurtek
金额：
$ 20万
依托单位：
Ohio State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1839356&HistoricalAwards=false
关键词：
TRIPODS+X EDU MBI TGDA+Neuro Program

项目摘要

This project develops an educational program for undergraduate students, introducing them to methods at the forefront of modern mathematical and statistical data analysis through application to problems in neuroscience. The program consists of a one-semester interactive online course followed by an in-person research experience held at the Mathematical Bioscience Institute in Columbus, OH. Faculty from Ohio State University (OSU) and Pennsylvania State University (PSU) will lecture in the online course; participating student cohorts will reside at OSU, PSU, and a diverse collection of six additional US institutions - including two liberal arts colleges, two universities in Puerto Rico, an historically black university (HBCU), and a regional university with a primarily commuter student body. The project will introduce a modern area of research -- topological and geometric data analysis, to undergraduate students with different backgrounds and educational experiences, better preparing these students for graduate education and/or entry into the workforce. A flexible and accessible undergraduate curriculum in topological and geometric methods for the analysis of neuroscience data will be developed and made broadly available. A diverse community of educators will be trained to facilitate the delivery of the curriculum at their home institution, and their own research opportunities will be enhanced; an important outcome of the project is the engagement of experimental and mathematical neuroscientists in the emerging field of topological and geometric data analysis.In this project, researchers in topological and geometric data analysis at Ohio State University (OSU) will collaborate with an experimental neuroscientist, director of the Speech, Language, and Music Lab (SLAM Lab) at OSU to develop scientific methods, curricular materials and educational projects. Research in the SLAM lab involves the use of structural and functional MRI data to identify anatomical structures and networks underlying varied abilities in speech processing, as well as the nature of brain plasticity. A flexible and accessible undergraduate curriculum in topological and geometric methods for the analysis of neuroscience data will be developed and made broadly available. An interactive online course, using the broadband facilities of the Mathematical Biosciences Institute (MBI) will be given to undergraduates at eight institutions with participation by local faculty. A following workshop at the MBI will bring together the OSU researchers, the remote faculty and the undergraduates to work on research projects. This project provides the opportunity for two cohorts of undergraduates from eight colleges and universities to participate in a unique education/research experience and for the development of a novel curriculum in topological and geometric methods for neuroscience applications. In addition, it will allow faculty from participating institutions to learn the principles of topological and geometric data analysis, providing the opportunity to broaden their research programs to include this modern area of data science.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.

这个项目为本科生开发了一个教育项目，通过应用于神经科学中的问题，向他们介绍现代数学和统计数据分析的前沿方法。该计划包括一个学期的互动在线课程，然后是在俄亥俄州哥伦布市的数学生物科学研究所举行的面对面研究体验。来自俄亥俄州立大学(OSU)和宾夕法尼亚州立大学(PSU)的教职员工将在在线课程中授课；参与课程的学生将居住在俄亥俄州立大学、PSU以及另外六所美国机构的多样化集合中--包括两所文科学院、两所波多黎各大学、一所历史悠久的黑人大学(HBCU)和一所学生主要通勤的地区性大学。该项目将向具有不同背景和教育经验的本科生介绍一个现代研究领域--拓扑和几何数据分析，使这些学生为研究生教育和/或进入劳动力市场做好更好的准备。一个灵活和可访问的本科生课程，在分析神经科学数据的拓扑学和几何方法，将被开发和广泛使用。在这个项目中，俄亥俄州立大学(OSU)拓扑和几何数据分析领域的研究人员将与俄亥俄州立大学(OSU)的实验神经学家、演讲、语言和音乐实验室(SLAM Lab)主任合作，开发科学方法、课程材料和教育项目。SLAM实验室的研究涉及使用结构和功能MRI数据来识别语音处理中各种能力背后的解剖结构和网络，以及大脑可塑性的本质。一个灵活和可访问的本科生课程，在分析神经科学数据的拓扑学和几何方法，将被开发和广泛使用。利用数学生物科学研究所(MBI)的宽带设施，将向八个机构的本科生提供一个互动的在线课程，当地教师将参与其中。随后在MBI举行的研讨会将把俄亥俄州立大学的研究人员、远程教员和本科生聚集在一起进行研究项目。该项目为来自八所学院和大学的两批本科生提供了参与独特的教育/研究体验的机会，并为神经科学应用开发了一门新的拓扑学和几何学方法课程。此外，它将允许参与机构的教师学习拓扑和几何数据分析的原理，提供机会扩大他们的研究计划，将这一现代数据科学领域包括在内。该奖项反映了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。