Data Science Education and Workforce

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DATA SCIENCE EDUCATION & WORKFORCE OVERVIEW

The ability to utilize and understand data is an increasingly critical skill for the evolving 21st century workforce, as espoused in studies and reports by National Academies and Federal Agencies. Because data literacy at multiple levels is now needed in almost every technical and business sector, there is a severe shortage in skilled workforce to meet current and emerging demands. To combat this shortfall, an all hands on deck approach is needed. K-12 systems, colleges and universities, including community colleges, underrepresented groups, and women must be engaged in data science training for the modern workplace.

 

IMPACT

  • $280,000+ in funding for students to gain real-world data-related career experience
  • Data science training workshops at 7 minority-led, -serving, primarily teaching institutions, community colleges and four-year liberal arts colleges
  • 100+ direct and indirect learners who benefited from workshops/bootcamps, modules, and courses taught by DataUp trained faculty members

 

VIEW ABOUT OUR WORK IN DATA SCIENCE EDUCATION AND WORKFORCE DEVELOPMENT

As part of the DataUp program, University of Puerto Rico- Rio Piedras (UPRRP) held 35 learners on August 18. Learners gained valuable skills beneficial to the development of their current and future research while UPRRP witnessed the institutional interest regarding data science and genomics.
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On September 28 – 29, the DataUp program hosted a 2-day workshop at Texas A&M University – Kingsville, a historically Hispanic serving institution in Southern Texas. No matter the level of coding expertise, each learner noted how the workshop and the utilization of JupyterHub will benefit their future research and project opportunities.
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As part of the DataUp program,Johnson C. Smith University held a workshop on Oct 18-19, 2018 to introduce shell, git, R, Matlab and the JupyterHub. The learners from both the humanities and natural sciences began to think about how an interactive notebook could benefit their disciplines and create collaborative projects on their campus.
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DataUp Workshop
As part of the DataUp program, Old Dominion University held a workshop on Oct 25-26 to introduce shell, git, R, and the JupyterHub. More than 20 students and faculty joined to engage in this 2-day workshop.
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The Program to Empower Partnerships with Industry and Government (PEPI-G) supports data faculty members, research scientists, postdocs, and graduate and undergraduate students (rising juniors and seniors) from across the country in working on high level problems for the federal government. The overarching goals of the program are three-fold to (1) support academics in developing relationships with industry and government for research collaboration and career success; (2) increase the capacity of students to enter the workforce landscape in data science, computing, and Big Data; (3) provide real-world impact through hands-on experience in data science.
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This project was an awardee of the 2020 South Big Data Hub SEEDS Program - Southern Engagement and Enrichment in Data Science. It is one of three awards funded in the Seed Grant's small-range category of <$10,000. The PIs seek to
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An open monthly professional working group for data science educators and program leaders to discuss education and training in data science, curriculum development, training collaborations, and workforce development.
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The South Hub created the DataUp program to enable researchers and educators to teach data science students and prepare them for future data-intensive and data-enabled environments.  On August 18, 35 learners packed the room, at the University of Puerto Rico- Rio Piedras (UPRRP), to participate in a hands-on workshop focused on data management and analysis for genomics research.  Students learned best practices for the organization of bioinformatics projects and data, use of command line utilities, use of command line tools to analyze sequence quality and perform variant calling, and connecting to and using cloud computing.   This workshop, taught in English and Spanish, created such a buzz that a waitlist was created.  The waitlist included 13 individuals!
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The project is a collaborative effort among the University of Tennessee Chattanooga, Tuskegee University, Spelman College, and West Virginia University to integrate and automate biological big data into student training and education. The project will offer training workshops, engage faculty and students in developing a protocol to automate field data collection, and will prototype automated methods to enhance plant digitization.
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In the week of July 29-Aug 2, 2019, more than 50 faculty and students from more 21 institutions participated in two R bootcamps at the University of Tennessee at Chattanooga (UTC). The iCompBio REU is supported by NSF Award 1852042, REU Site: ICompBio – Engaging Undergraduates in Interdisciplinary Computing for Biological Research. The first bootcamp on data wrangling using R was taught by Hong Qin, a computational biologist at UTC. Materials for this R Data Wrangling bootcamp is available at a public GitHub repository https://tinyurl.com/UTC-R-camps2019. The second bootcamp, Electronic Health Records, was taught by Elvena Fong and Zhuqi Miao from the Center for Health Systems Innovation at the Oklahoma State University.
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