REU Site: REU Research Experiences and Mentoring in Data-Driven Discovery

REU 网站：REU 在数据驱动发现方面的研究经验和指导

• 批准号: 1559894
• 负责人: David Kaeli
• 金额: $ 35.96万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-04-01 至 2020-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1559894&HistoricalAwards=false
• 关键词: REU; Site; Research; Experiences; Mentoring

Non-Technical:This REU site will help support NSF's mission to promote the progress of science by providing multi-disciplinary research experience for undergraduates with exciting 10-week summer-based experiences in computer science/engineering laboratories, enabling work on both fundamental and applied data-driven problems, focused on applying machine learning techniques, data analytics, and parallel computing technologies, and preparing them for future scientific career. The REU students will have the opportunity to utilize state-of-the-art high performance computing resources to tackle big data problems present in a number of problem domains, including Bioengineering, Environmental Engineering and Biomedical Engineering. PI's will leverage the Massachusetts Green High Performance Computing Center located in Holyoke, MA to provide a backdrop for this multi-disciplinary REU Site. The program will provide students with extensive cyber-infrastructure training, equipping program participants with the skillsets to explore the boundaries between math, science, engineering and parallel computing that are truly multi-disciplinary. The REU Site is located at Northeastern University in the heart of Boston. Technical:The REU projects span a wide range of technical fields in Computer Science and Engineering. Example projects include: applying machine learning to cluster Chronic Obstructive Pulmonary Disease (COPD) data, data mining Twitter feeds to identify trends in climate change, utilizing hardware accelerators to detect cancerous tumors in 4-D Computed Tomography images, and utilizing regression analysis on gene expressions to understand patterns in retina regeneration. One novelty of this site is its focus on recruiting efforts, tailoring their research experiences for students that have only completed their freshmen year of their undergraduate education, engaging them early in research on their academic pathway. The REU site works to create a mentoring eco-system at both Northeastern University and the partnering institutions, developing a model that is transferrable to other institutions. The program builds relationships with six urban community colleges/universities to build a pipeline of students, creating a diverse pool of REU candidates, showing students potential pathways to graduate education and research. The program leverages the CISE REU Toolkit for pre- and post-program surveys, as well as for recruiting. The REU-D3 Site is focused on effecting changes in mentoring attitudes and practices at the host and partnering academic institutions.

非技术性：这个REU网站将通过为本科生提供多学科研究经验，在计算机科学/工程实验室提供为期10周的令人兴奋的夏季经验，帮助支持NSF促进科学进步的使命，支持基础和应用数据驱动问题的工作，重点关注应用机器学习技术、数据分析和并行计算技术，并为未来的科学生涯做好准备。 REU学生将有机会利用最先进的高性能计算资源来解决生物工程，环境工程和生物医学工程等许多问题领域中存在的大数据问题。PI将利用位于马萨诸塞州霍利奥克的马萨诸塞州绿色高性能计算中心为该多学科REU研究中心提供背景。该计划将为学生提供广泛的网络基础设施培训，为计划参与者提供技能，以探索真正多学科的数学，科学，工程和并行计算之间的界限。REU网站位于波士顿市中心的东北大学。 技术：REU项目涵盖计算机科学与工程的广泛技术领域。 示例项目包括：将机器学习应用于慢性阻塞性肺疾病（COPD）数据的聚类，数据挖掘Twitter提要以确定气候变化的趋势，利用硬件加速器检测四维计算机断层扫描图像中的癌性肿瘤，并利用基因表达的回归分析来了解视网膜再生的模式。 这个网站的一个新奇之处是它专注于招聘工作，为那些只完成了本科教育大一的学生量身定制他们的研究经验，让他们尽早参与学术途径的研究。REU网站致力于在东北大学和合作机构创建一个指导生态系统，开发一个可转移到其他机构的模型。 该计划与六所城市社区学院/大学建立关系，以建立学生管道，创建REU候选人的多元化池，向学生展示研究生教育和研究的潜在途径。该计划利用CISE REU工具包进行计划前和计划后的调查，以及招聘。REU-D3网站的重点是在东道国和合作学术机构的指导态度和做法的影响变化。