[AISWorld] HICSS-56 Call for papers - Big Data and Analytics: Pathways to Maturity

[Alberto Espinosa]

Big Data and Analytics: Pathways to Maturity
Co-Chairs: Stephen H. Kaisler; Frank Armour; J. Alberto Espinosa

This first and original Big Data and Analytics (BD&A) minitrack at HICSS focuses on research on BD&A as an enabler of businesses and organizations to optimize their operational practices, improve their decision-making, and better understand and provide more effective services to their clients and stakeholders. In our book titled: "Obtaining Value from Big Data for Service Delivery, 2nd Edition" we presented a knowledge framework to serve as a basis for grounding BD&A 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, metrics for the business value of big data and analytics investments, etc.).

We seek papers in all areas of BD&A, particularly papers on the development of strategy for deploying BD&A in distributed organizations, the effects of BD&A on organizational behavior, the governance and management of BD&A, the evaluation of related contributions to business operations, and the development of BD&A capabilities, including curriculum, skills, training and metrics.

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

*      Managerial, governance, lifecycle, strategic and organizational aspects of big data and analytics, 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 specific functional domains - business, scientific, and social science, visual analytics and non-numeric analysis models and their implementation
*      Modeling issues, including computational methods, programming languages and automated machine learning
*      Advances in big data technology - processing, storage, analytics - for the Exabyte/ExaFLOP Age
*      Scalable semantic annotation and reasoning across big data stores
*      Metrics to assess the impact of big data in business, scientific, and government decision-making.
*      Educational and body of knowledge frameworks on big data, analytics and data science.

Papers presenting case studies, infrastructure and technology advances, theoretical perspectives, and emerging concepts at the petascale and beyond, are also sought. An expanded CfP is available from Steve Kaisler. We especially encourage graduate students to submit papers as well. 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.

Key Deadlines:

*      June 15: Paper Submission Deadline (11:59 pm HST)

*      August 17: Notification of Acceptance/Rejection

*      September 4: Deadline for revisions to Conditionally Accepted papers due

*      September 11: Notification of Acceptance/Rejection for revised papers sent (by HICSS) to authors

*      September 22: Deadline for authors to submit final manuscript for publication
Kindly,

Minitrack Co-Chairs:

Stephen H. Kaisler, D.Sc. (Skaisler1 at comcast.net<mailto:Skaisler1 at comcast.net>), SHK & Associates (primary)

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