Negotiating the Digital and Data Divide Workshop builds momentum for the series “Keeping Data Science Broad.”
Participants of the Negotiating the Digital and Data Divide Workshop, in front of the wall of challenges and visions used to collect ideas on the future of data science education.
This month, participants from universities across the nation, community colleges, tribal colleges, minority-serving institutions, nonprofits, and industry joined forces with the South Big Data Hub and Georgia Tech to confront the challenges of building data science capacity through traditional and alternative educational practices. Organized by Dr. Renata Rawlings-Goss, a co-executive director of the South Big Data Hub, the two-day workshop, sponsored by multiple directorates within the National Science Foundation, brought together a diverse mix of participants to navigate the complex issues of reforming data science education to prepare for the data-driven workforce of the future.
by Wenbin Zhang
As a first-year PhD student in information systems, I have been working on mobile health (mHealth) related research since the start of my PhD program. The growth of mHealth has facilitated better and instantaneous health communication, which was not previously possible. The capabilities of mHealth platforms promise to enhance healthcare quality and assist people in achieving healthy lifestyles at reduced costs. Attending the mHealth workshop organized by the South Big Data Hub and the National Consortium for Data Science (NCDS), located at the Renaissance Computing Institute (RENCI) deepened my understanding of mHealth, simply by having the chance to listen to and participate in intense discussions with an interdisciplinary group of mHealth and technology experts. Continue reading
By Ashley C. Griffin
The South Big Data Innovation Hub and the National Consortium for Data Science (NCDS), in collaboration with the Institute for the Future and 10X Collective, held a workshop that brought together a diverse body of experts to identify and prioritize research challenges in data science and IoT cyberinfrastructure.
The workshop participants thoughtfully assessed a wide array of mobile health (mhealth) applications to address health disparities and their environmental influences within the research, legal, policy, environment, and clinical settings. Within the clinical setting, participants identified shifting the point of care to the patient using mHealth technologies as a key priority. Continue reading
Digital data is ubiquitous and offers unprecedented opportunities for government, business, science and society. However, data is little more than noise if no one can make sense of it.
Data visualization, or presenting data in visual formats that are more easily comprehended by the human brain, help people make sense of data and tell stories with data. It is a tool that is vital to putting data to use to solve problems and make informed decisions. Continue reading
Business professionals, researchers, and students in the South Big Data Hub community should mark their calendars for the South Hub annual All Hands meeting on June 9, 2017 at Microsoft’s Chevy Chase Pavilion in Chevy Chase, MD. Click here to register for the event.
The four Big Data Regional Innovation Hubs announce the Transportation Data Challenge, a series of community problem-solving sessions, data faires, hackathons and demonstrations to be held in collaboration with the U.S. Department of Transportation, Amazon Web Services, Microsoft, Data Science Inc., and a growing community of partners.
In the age of ubiquitous connectivity and social media, information is at our fingertips. Unfortunately, so is misinformation and often it is hard to tell one from the other.
A recent roundtable discussion sponsored by the South Big Data Hub examined the rapidly changing landscape for building online communities, sharing information, and creating what often appears to be a groundswell of support for particular points of view. Continue reading
As many in the South Big Data Hub community know, our Hub is one of four regional Hubs established by the National Science Foundation in 2015 to foster data science collaborations among academia, industry and government, both in the U.S. and internationally. In 2016, the NSF expanded the BD Hubs’ network by supporting multi-sector and multi-institutional collaborations focused on using data to address regional challenges.
That support translated into BD Hub “Spoke” awards for research addressing regional problems, and several Spoke awards were given to researchers within the states that comprise the South Hub (click here for information on those awards).
This week, the NSF issued a Call for Proposals for round two of the BD Hub Spoke Awards to be funded in FY 2018. The solicitation is not meant to fund proposals in which fundamental research is the primary activity. Instead, BD Hub Spoke proposals should be guided by the following broad themes: Continue reading
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. The program is co-sponsored by the National Science Foundation (NSF), the Computing Community Consortium (CCC), UnitedHealthCare Group and McKesson Corporation. Through PEPI, the South Hub provided funding to support data-intensive fellowships with industry for early career faculty, research scientists, and postdocs. Each award provided the recipient with up to $15,000 of travel and salary support to pay for their full-time effort for 2 – 5 weeks working at the company site.
The 2016 PEPI Fellows and companies were: Continue reading
Partnerships called “a major milestone for the data economy”
The four Big Data Regional Innovation Hubs have been selected by the National Technical Information Service (NTIS) of the U.S. Department of Commerce to enter into a Joint Venture Partnership. Once finalized, this partnership will provide opportunities for collaborations between the Big Data Hubs and NTIS to deliver groundbreaking data projects across federal agencies. Continue reading