REU Site: Big Data Analytics at Oklahoma State University

该项目将支持俄克拉荷马州立大学（OSU）一个为期三年的本科生研究经验（REU）网站。该项目是一个为期十周的暑期学院，为俄克拉荷马州和邻近州的两年制学院和四年制大学的十名大三或大四本科生提供服务。在暑期研修期间，学员将从事大数据分析方面的研究；包括数据收集，数据清理，数据分析，数据解释和数据可视化，在首席研究员和其他教师导师的指导和指导下。拟议中的REU网站将通过扩大计算机研究的参与，使少数民族学生接触研究过程，影响他们的职业决策和增加该领域的多样性，从而影响21世纪劳动力的培训。暑期研修结束后，将通过虚拟社区网站与学员保持联系；这将鼓励整个队列中的社区建设，并支持参与者努力建立他们作为研究人员的身份。参与者还将通过实地考察和外部演讲者的演讲，接触到行业中的研究活动。招收的目标院校有很高比例的未被充分代表的少数民族本科生，如非洲裔美国人和印第安人。该项目每年将资助10名从事大数据分析研究的学生。他们将学习如何使用机器学习算法，如神经网络，可视化技术，如等距特征映射，以及统计技术，如回归和高斯过程。期望参加者不仅获得编程等技术技能，还能发展抽象和计算思维的广泛能力。他们将在现实世界的项目中学习大数据分析的各个方面，比如收集和分析社交媒体数据。参与者将作为一个群体工作，并将作为共同作者纳入其工作成果的出版物中。学生将在小组中工作，同时与其他小组和研究生互动，相互协助收集，示意图，结构，可视化并从大规模数据源中学习。拟议的REU网站将有助于培养21世纪的劳动力，并扩大参与计算研究，特别是在大数据分析，这是一个重要的和快速增长的研究领域。

This project will support a three-year Research Experience for Undergraduates (REU) site at Oklahoma State University (OSU). The project is a ten-week summer institute for ten undergraduate students who are rising juniors or seniors in two-year colleges and four-year universities in Oklahoma and neighboring states. During the summer institute, the participants will engage in research in big data analytics; including, data collection, data cleansing, data analysis, data interpretation, and data visualization, under the mentorship and guidance of the Principal Investigator and other faculty mentors. The proposed REU site will impact the training of the 21st century workforce by broadening participation in computing research, exposing minority students to the research process, influencing their career decisions and increasing diversity with-in the field. Contact will be maintained with the participants after the summer institute through a virtual community site; this will encourage community-building within the whole cohort and support the participants' efforts to build their identity as researchers. The participants will also be exposed to research activities in industry through field trips and presentations from external speakers. The targeted institutions for recruitment have a high percentage of underrepresented minority undergraduate students, such as African Americans and Native Americans.This project will support ten students each year as they engage in research in big data analytics. They will learn how to use machine learning algorithms such as neural networks, visualization techniques, such as isometric feature mapping, and statistical techniques such as regression and Gaussian processes. It is expected that participants will not only gain technical skills such as programming, but also develop broad abilities in abstraction and computational thinking. They will be introduced to all aspects of big data analytics in real-world projects, such as collecting and analyzing social media data. The participants will work as a cohort and will be included as co-authors in publications stemming from their work. The students will work in small groups while interacting with other groups and with graduate students, assisting each other to collect, schematize, structure, visualize, and learn from large-scale data sources. The proposed REU site will contribute towards the training of the 21st century workforce and broaden participation in computing research, especially in big data analytics, which is an important and swiftly-growing area for research.