Data Science Education and Workforce
The South Hub fosters data literacy and build up the capacity of academic institutions to teach data science. Broaden the base of workforce trained in data science.
Integrating Biological Big Data Research into Student Training and Education
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. PEPI Builds Bridges Between Industry and Researchers
The South Big Data Hub’s Program to Empower Partnerships with Industry (PEPI) pairs early-career faculty and researchers throughout the South with Industry Partners and support their travel to make collaboration possible. Data Education--Inclusivity is the Word
As organizational and societal decisions become more data-driven academic institutions, industry, and government officials continuously identify data literacy as an important skillset for individuals currently in and entering the workforce. Unfortunately, a dearth of qualified data literate employees exists producing a need for effective data science education and training for undergraduates. The National Academies of Sciences (NAS) formed a study committee to consider the core principles and skills undergraduates should learn and the pedagogical issues that must be addressed to build effective data science education programs. The South Big Data Hub brings missing voices to the conversation on data science education
Keeping Data Science Broad in-person workshop explored the Data Divide by convening stakeholders from teaching institutions, community colleges, tribal colleges, and minority-serving institutions to discuss challenges related to capacity building and capability. Specific issues discussed included access to data, critical thinking, designing curriculum and assessment, data literacy, diversity, ethics, resources and staffing, building collaborations, and the pipeline to higher education from K-12. Recent education-enabling projects were showcased at the event.
Data science education in traditional contexts: Reflections on a recent webinar
Report says data science education pays off in rewarding careers
Earning a college degree takes more than time and effort—it requires a significant financial investment. According to a report from Thrivent Mutual Funds highlighted in a recent edition of Forbes magazine, choosing a major that can translate into a data science career is one way to ensure that your career earning power will allow you to pay off those student loans quickly. Is an understanding of data, how to use it, manage it, and act on it, the newest foundational skill essential for career success in the 21st century? Probably so. It can also help you with very practical concerns, for example interpreting the automatic diagnostics that are done daily on your new car so you can figure out a better route to work and improve your gas mileage. How to afford that fancy data-driven car? A data science education that opens up many well-paying career opportunities is a good place to start. View post for the full report. Highlighting Big Data at HBCUs
The Center of excellence in Research and Education for big military Data InTelligence otherwise known as the C.R.E.D.I.T Center is Prairie View A&M University’s premiere graduate level program for the processing and effective sorting of complex data. Funded by the Department of Defense, the C.R.E.D.I.T Center is one of three centers funded by the DoD at Historically Black Colleges and Universities. It is a one-stop-shop for engaging students in Big Data education, analytics and solving complex real-time problems for the military. Dr. Renata Rawlings-Goss the Executive Director of the South Hub gave a keynote speech at the C.R.E.D.I.T Center’s First Workshop of Mission-Critical Big Data Analytics (MCBDA 2016) held at Prairie View A&M University (Prairie View, TX). Click to learn more. Learning the nuts and bolts of data integration: A Data Start Fellow’s perspective
DataStart participant fellowship recap of experience at Black Oak Analytics, a Little Rock data startup. Fellowship mainly focused on data integration of unstructured entity references. The primary goal of my work was to develop and test a more general approach to the problem of resolving entity references in free text format. South Big Data Hub DataStart fellow reflects on lessons learned
Program participant describes their summer semester as a data.world intern apart of the DataStart program. Participants fellowship specifically focuses on U.S. Census data democratization and accessibility. South Big Data Hub links talented students with tech startups through DataStart program
DataStart provides real-world experiences for students while helping entrepreneurial companies
Graduate students from six universities in the southern U.S. will spend the summer working on data challenges important to the success of new and growing technology companies thanks to a program called the Southern Startup Internship Program in Data Science (DataStart).
DataStart interns will address a wide range of data-related business problems, including spotting trends in the diversity of people included in clinical trials, developing methods for using sensor data to detect loads on wind turbines, and the challenges of cleansing and standardizing data to extract more knowledge from it.