Call for Papers: Special Journal Issue on Social Cybersecurity

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 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.

See the full Call for Papers below:

We are pleased to announce a special issue of the journal Computational and Mathematical Organization Theory on Social Cyber‐Security. As noted in Carley et al 2018:

“Social Cyber‐security is an emerging scientific area focused on the science to characterize, understand, and forecast cyber‐mediated changes in human behavior, social, cultural and political outcomes, and to build the cyber‐infrastructure needed for society to persist in its essential character in a cyber‐mediated information environment under changing conditions, actual or imminent social cyber‐threats. An example is the technology and theory needed to assess, predict and mitigate instances of individual influence and community manipulation through alterations in, or control of, the cyber‐mediated information environment via bots, cyborgs and humans.

Fundamental to this area is the perspective that we need to maintain and preserve a free and open information environment in which ideas can be exchanged freely, the information source is known, disinformation and false data are identifiable and minimized, and technology is not used to distort public opinion. This relies on the notion that movement of information should not compromise the infrastructure, and that actors should not be able to compromise the cyber‐ environment so as to unduly influence or manipulate individuals, groups and communities. Types of events to be prevented include viral retweeting of messages containing images which if downloaded release malware, or the use of bots to manipulate groups into accepting fake news as real.”

We anticipate that all articles will be computational social science papers and draw on both social science and computer science or computational techniques.

Possible topics of interest include, but are not limited to:

  • Diffusion of disinformation through social
  • Community formation in cyber‐space.
  • Study of a digital democracy
  • Gangs’ or extremist groups use of social media for
  • Social evolution of bot
  • Modeling deviant cyber‐mediated
  • Identification and classification of intent behind deviant social media
  • Viral sharing of messages containing malware in any social

Articles not of interest include those related to privacy, cyber‐security (technical only), pure machine learning papers, and descriptions of, or evaluations of, software tools. If the paper focuses on computational model development, it is required that the authors provide in depth treatment on model explanation.

A letter of intent should be sent to Dr. Kathleen M. Carley at It should list a tentative title, authors and full affiliations, abstract, keywords, and three potential reviewers.

The actual paper should be submitted through the Springer website at:

Make sure to select the special issue on Social Cyber‐Security.


  • Letter of intent due: August 1, 2018
  • Paper due: October 1, 2018
  • Revisions due: December 1, 2018
  • Electronic version, which appears first, will be online by end of January 2019

Kathleen M. Carley, Guido Cervone, Nitin Agarwal, Huan Liu, 2018, “Social Cyber‐Security,” In Proceedings of the International Conference SBP‐BRiMS 2018, Halil Bisgin, Ayaz Hyder, Chris Dancy, and Robert Thomson (Eds.) July 10‐13, 2018 Washington DC, Springer.

South Big Data Hub partners on development of new nationwide data storage network under NSF grant

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

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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

Master of Data Analytics Program at UCF hosts first ever Women in Data Science Conference

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

Reflections on the NIST/IEEE/ORCA Federated Cloud Workshop

Both the South Big Data Hub and West Big Data Hub provided sponsorship for the NIST/IEEE/ORCA Federated Cloud Workshop, held on March 21-22, 2018, in Gaithersburg, MD. The workshop was chaired by:

  • Robert Bohn, Program Manager, NIST Cloud Computing Program (NCCP) Federated Cloud Conceptual Architecture, and Chair IEEE P2302;
  • Craig Lee, Chair, NCCP Federated Cloud Conceptual Architecture, and The Aerospace Corporation; and,
  • Khalil Yazdi, Chair of Open Research Cloud Alliance (ORCA).

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Registration now open for June iRODS User Group Meeting

Screen Shot 2018-03-06 at 2.09.46 PMRegistration discounts through April 1; visit

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

Women to show their data science chops at 2018 WiDS conference

The Women in Data Science (WiDS) Conference returns for a

third year to

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.

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NSF-sponsored workshop to focus on data lifecycle training for grad students and postdocs

Travel and accommodations provided; applications due March 15

For today’s graduate and post-doctoral students, conducting research often starts by trying to make sense of the many tools, technologies, and work environments used in data-intensive research and computing.

Fortunately, there is help in navigating this new research landscape.

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New membership structure launches NCDS into new year


Scene from an NCDS data science career event designed to bring students together with potential employers.

The National Consortium for Data Science (NCDS), a public-private consortium formed in North Carolina to address the challenges and opportunities of big data, has updated its membership structure, making it easier for businesses, government agencies, educational institutions, and nonprofits to join the NCDS community. Continue reading