COVID-19 continues to spread across the country and around the world. The current strategy for managing the spread of COVID-19 is social distancing, and a new white paper from Georgia Tech applies the use of an interactive Artificial Intelligence (AI) tool to conceptualize the impact of social distancing on the spread of COVID-19.
Funded with a South Big Data Hub SPOKE grant, the Virtual Ecological Research Assistant (VERA) is web application that enables users to construct conceptual models of ecological systems, and run interactive simulations of these models. This allows users to explore ecological systems and perform “what if” experiments to either explain an existing ecological system or attempt to predict the outcome of future changes to one.
Researchers using VERA have now documented utilizing the tool to develop develop a SIR model for the spread of COVID-19 and its relationship with healthcare capacity.
NSF Invests $4 Million in Big Data for Southern United States
Precision medicine and understanding health disparities, innovation to power competitive manufacturing, technology for smarter communities, and addressing coastal hazards such as hurricanes are among the challenges facing the Southern United States. A $4 million award from the National Science Foundation (NSF) will help apply data science and engineering to address those challenges.
The funding will continue support for the South Big Data Innovation Hub, an organization that helps 16 Southern States and the District of Columbia identify and utilize data science and engineering to address critical societal needs. One of four NSF-supported regional data hubs in the U.S., the South Big Data Hub is managed by the Georgia Institute of Technology and the University of North Carolina at Chapel Hill.
“The Big Data Hubs provide a connective tissue for the data science ecosystem across sectors and domains,” said Renata Rawlings-Goss, the Hub’s executive director. “I am deeply pleased by NSF’s recommitment to the growth of the South Hub and our community. Over the last three years, we have made great strides within our priority areas and are looking to broaden that reach in the next four years.”
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 →
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 →
Last week, The South Big Data Innovation Hub announced the recipients of the 2018 DataUp: Keeping Data Science Broad Series. The recipients represent Historically Black Colleges and Universities (HBCUs), Hispanic-Serving Institutions (HSIs), and other minority-serving institutions (MSIs), community colleges, and primarily teaching-focused institutions. Each of the recipients will receive a 2-day data science workshop on their respective campuses and travel funding for an in-person ‘train-the-trainers’ workshop in Atlanta, GA to prepare teams to teach regional data science workshops. Continue reading →
Registration discounts through April 1; visit irods.org
DURHAM, NC – Users of the integrated Rule Oriented Data System (iRODS) will come to Durham, NC from points around the globe to attend the 2018 iRODS User Group Meeting (UGM) June 5 – 7.
The meeting gives iRODS users and those interested in using iRODS the chance to learn about the latest updates to iRODS software, hear about iRODS implementations from users in different research domains and business sectors, discuss iRODS-enabled applications and discoveries, and glimpse the future of iRODS and the iRODS Consortium. Continue reading →
Stanford University on March 5. This one-day, technical conference features world-class speakers discussing a wide array of data science, machine learning, and artificial intelligence research and applications, from computational finance, to astrophysics, tocybersecurity, and much more. All genders are invited to participate in the conference, which features exclusively female speakers.