Call for Participants: NSF fundedMultidisciplinary Online Training Program with Stipend Support in Spring 2019on Big Data + High-Performance Computing + Atmospheric Sciences
Funded as an NSF grant to train graduate students, post-docs, and junior faculty on “Big Data + High-Performance Computing + Atmospheric Sciences”, our training program is a new NSF-funded initiative in big data applied to atmospheric sciences and using high-performance computing as a vital tool. The training consists of instruction in the areas of data, computing, and atmospheric sciences supported by teaching assistants, followed by faculty-guided project research in a multidisciplinary team of participants from each area. Participants around the nation will be exposed to multidisciplinary research experiences and have the opportunity for significant career growth.
This training is funded by the NSF under OAC-1730250 “CyberTraining: DSE: Cross-Training of Researchers in Computing, Applied Mathematics and Atmospheric Sciences using Advanced Cyberinfrastructure Resources” under the solicitation Training-based Workforce Development for Advanced Cyberinfrastructure (CyberTraining).
Faculty teams from the DataUp program during the Instructor Training Workshop on Nov 6 & 7, 2018.
Society is increasingly becoming more data-driven and data-literate. It is vital every institution has the capabilities and infrastructure to engage and develop learners prepared to interact and succeed in such a society. Numerous studies have identified the expanding data divide between institution types and the need to develop successful bridge initiatives. The South Hub begin to address this need by creating a 3-part program, DataUp. Through this program, the South Hub is directly impacting each participating institution’s data science education capacities.
The first component of the program is a hosted 2-day data or software workshop presented by the Carpentries. This provided an opportunity for each participating institution to engage in a workshop that specifically addressed their data knowledge gaps (for more information on these workshops, Click Here). Exposing students to these intensive workshops, students are able to gain hands-on training and exposure to principles and tools, such as shell and JupyterHub. Removing the associated ‘fear factors’ empowers learners to employ and address challenges with data. The second component of the DataUp program is a 2-day pedagogy intensive instructor training.
The DataUp program visited Old Dominion University on Oct 25-26 to introduce shell, git, R, and the JupyterHub. The workshop included students, faculty and staff eager to engage with the analytical tools. This workshop brought together a ‘melting pot’ of faculty, staff, and students from various corners of the university to engage in a 2-day workshop. The concepts were chosen by ODU as Unix Shell & R are utilized in their High-Performance Computing Center. Even though intensive, one student noted, ‘it’s like drinking from an 8-hour firehouse, but the information is great. I knew nothing before Day 1 and [now I feel] more confident [after the first day]’. The 2-person instructor team led the traditional Carpentries curriculum, but their instruction was magnified by multiple ‘workshop helpers’. In training workshops such as these, learners have various expertise levels and learning styles. Multiple ‘workshop helpers’ and instructors reinforced the concepts as the diverse point of views benefited the wide range of learning styles. This was especially beneficial to a professor who noted that she learned to code about 15 years ago and was very nervous to retool herself but, ‘this workshop helped [her] to remove her fear [of coding]’. Continue reading →
Oftentimes, learning and education are discussed from the perspective of students. Unintentionally, excluding the fact that faculty have a natural interest in and curiosity for lifelong learning. Johnson C. Smith University’s DataUp institutional workshop attracted faculty and staff from diverse departments, including Psychology, Mathematics, and Library Services and IT. Over a two-day workshop, attendees discussed shell, git, and the interactive notebook JupyterHub. One learner noted that ‘it is [always] great to attend new workshops…it reminds you how students feel when learning new topics’. Many learners were new to the concepts but were eager to ask questions and find points of connectivity for their respective departments. By the middle of the first day, laughter and collaboration erupted throughout the session as individuals became more open to the concepts and asking questions. Continue reading →
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. Arriving on the first day, a sense of eagerness buzzed throughout the classroom. Not only from the learners but also from the hosting faculty members. Faculty member, Dr. Min Zhoung, Assistant Professor of Environmental Engineering, noted that oftentimes learners tend to stray away from analytical or data science opportunities because of a ‘math or computational’ fear. The Carpentries instructors provided engaging and supportive hands-on Python & SQL tutorials and exercises utilizing the shared notebook, JupyterHub. Although there were learners of varying stages of coding knowledge and expertise, numerous students stated their excitement and gratitude for the workshop. One young woman who works in the TAMUK’s President’s office noted that her “projects took considerable time to set up and run, but with the tips from the workshop she can cut her project time down significantly”. The DataUp program’s mission, in part, is to increase capacities for and usage of data science tools. Learners noted that similar workshops moved either too fast or too slow, but this workshop provided the opportunity for all learners to ask questions and learn subtleties to maximize Python and JupyterHub. This workshop was timely for a young man attending a job interview the following week providing him the opportunity to ‘brush up on his verbiage and techniques’. Continue reading →
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! Continue reading →
The South Big Data Hub Security, Network Analysis, and Social Media Working Group organized a workshop in March and recommended a special issue on social cybersecurity as a deliverable. From that recommendation, Computational and Mathematical Organization Theory has announced a special journal issue on social cybersecurity with the working group co-chairs as editors.
Kathleen Carley, PhD, of Carnegie Mellon University, Nitin Agarwal, PhD, of the University of Arkansas at Little Rock, and Lea Shanley, PhD, of the South Big Data Hub invite submissions for consideration. A letter of intent should be sent to Dr. Carley at email@example.com by August 1, 2018 for consideration.
If you are interested in joining the South Hub Security Working Group, please email Nitin Agarwal or Karl Gustafson, and be sure to indicate why you are interested in membership in your request to join.
The Open Storage Network will enable researchers to manage data more efficiently than ever before.
The South Big Data Hub is one of four regional big data hub partners awarded a $1.8 million grant from the National Science Foundation (NSF) for the initial development of a data storage network over the next two years. A collaborative team will combine their expertise, facilities, and research challenges to develop the Open Storage Network (OSN). The OSN will enable academic researchers across the nation to work with and share their data more efficiently than ever before, according to the NSF announcement. Continue reading →
RTI’s Kristina Brunelle (left) moderates a panel discussion with Amy Roussel, RTI (center); Gracie Johnson-Lopez, Diversity and HR Solutions (right); and Sackeena Gordon-Jones, Transformation Edge and NC State University (on screen).
Data science is hot. That’s good news for workers with data science skills. It also means organizations competing to hire data scientists need to understand how to recruit talent that will solve their data science challenges and contribute to creating a productive and diverse workforce. Continue reading →
Dan Eilen, associate director of the UCF MS Data Analytics Program, and Shafaq Chaudhry, assistant director of Research Information Systems, at the recent Women in Data Science conference
ORLANDO, FLA – The University of Central Florida Master of Science in Data Analytics program hosted its first ever Women in Data Science Conference on March 5, 2018. This technology conference was held on the university campus and afterwards talks from Stanford were live streamed at over 100 satellite locations. The panel discussed data science research, career opportunities, as well as tips, tools and knowledge in hopes of educating and encouraging other women in data analytics. Continue reading →