[AISWorld] Call for Submissions: HICSS Mini-track on Big Data and Analytics: Pathways to Maturity

[Alberto Espinosa]

Call for Submissions: HICSS Mini-track on Big Data and Analytics: Pathways to Maturity

This mini-track focuses on the use of big data and analytics (BDA) 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, education, usage case studies, innovative applications, and enabling technologies.  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, the governance and management of big data, the evaluation of big data's contribution to business operations, the development of big data analytics are sought. Papers are sought on developing an analytic cadre, including curriculum concepts, skills and training, and metrics and measurement. Prior research identified  four 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 research papers on any of these four 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:

*     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 dataAdvanced analytics emphasizing specific functional domains - business, scientific, and social science, visual analytics and non-numeric analysis models and their implementation
*     Advances in 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.
*     Enhanced explainability in analytics (particularly AI/ML) relative to results and the detection and mitigation of bias and variance in analytics.
*     Text analytics approaches in quantitative and qualitative techniques in natural language processing.
*     Supervised and Unsupervised machine learning approaches in text analytics.

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. If you wish to discuss a paper concept on text analytics before submitting, please contact Derrick Cogburn. Text Analytics researchers may also wish to participate in the linked afternoon workshop on Advanced Text Analytics and HICSS Textathon, Big data analytics practitioners and educators are also encouraged to participate in our linked tutorial on Big Data Analytics Body of Knowledge. We will be happy to discuss your paper concept with you.

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
Derrick L. Cogburn, Ph.D. (dcogburn at american.edu<mailto:dcogburn at american.edu>), School of International Service and Kogod School of Business, American University