[AISWorld] HICSS-50 Decision Analytics Track Call for Papers

[Alberto Espinosa]

Title: Big Data Analytics: Concepts, Methods, Techniques and Applications
Co-Chairs: Stephen H. Kaisler; Frank Armour; J. Alberto Espinosa

HICSS is turning 50!!

Big Data Analytics: Concepts, Methods, Techniques, and Applications

This minitrack focuses on the use of big data and analytics to enable 
businesses and organizations to optimize their operational practices, 
improve their decision-making, and better understand and provide more 
effective services to their customers and clients. We seek papers in all 
areas of big data and analytics, including storage, management, usage case 
studies, innovative applications, and enabling technology.  Relevant 
papers on the development of strategy for deploying big data and analytics 
in distributed organizations, the effects of big data and analytics on 
organizational behavior, and the development of big data analytics are 
sought. Papers are sought on developing an analytic cadre, including 
curriculum concepts, in-house training, and skills development and 
measurement.

In our book titled: ?Obtaining Value from Big Data for Service Delivery? 
we presented knowledge framework to serve as a basis for grounding Big 
Data and Business Analytics curricula. The framework is composed of key 
knowledge layers, including: basic foundations (e.g., mathematics, 
statistics, software programming, big data architectures); analytics/big 
data (e.g., descriptive, predictive, prescriptive and visual analytics); 
functional domain of analysis (e.g., marketing, healthcare, accounting 
forensics, etc.); and managerial, strategic and organizational aspects 
(e.g., data governance, security, privacy, human resource management, the 
business value of big data and analytics investments, etc.). In order to 
advance knowledge in big data and analytics, we must develop active 
research agendas in all five layers. We seek research papers on any of 
these five layers and also those that address the structure and evaluation 
of curriculum design, implementation and evaluation for big data and 
analytics.

Papers are solicited in several areas, including, but not limited to the 
following: 

- Challenges in managing big data repositories and projects, including 
data governance
- Graph analytics ? both syntactic and semantic ? that play a big role in 
the exploitation of social media data
- Advanced analytics, ? emphasizing visual analytics and non-numeric 
analysis models and their implementation
- Scalable semantic annotation and reasoning across big data stores
- Metrics for assessing the impact of big data in business, scientific, 
and governmental decision-making.
- Advances in analytics in specific functional domains
- Managerial, strategic and organizational aspects of big data and 
analytics.

Papers presenting case studies, infrastructure and technology advances, 
theoretical perspectives at the petascale and beyond, and emerging 
concepts are also sought.

More information about HICSS-50 may be found at http://www.hicss.org/.

If you wish to discuss a paper concept before submitting a paper, please 
contact Steve Kaisler or Frank Armour. We will be happy to discuss your 
paper concept with you.

Kindly,
Minitrack Co-Chairs
 
Stephen H. Kaisler, D.Sc. (Skaisler1 at comcast.net) 
SHK & Associates 

Frank Armour, Ph.D. (farmour at american.edu) 
J. Alberto Espinosa, Ph.D. (alberto at american.edu)
Kogod School of Business
American University