-------- Forwarded Message --------
Subject: [AISWorld] HICSS-56 Call for papers - Big Data and Analytics:
Pathways to Maturity
Date: Fri, 13 May 2022 12:43:14 +0000
From: Alberto Espinosa <alberto(a)american.edu>
To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org>
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.
Kindly,
Minitrack Co-Chairs:
Stephen H. Kaisler, D.Sc.
(Skaisler1(a)comcast.net<mailto:Skaisler1@comcast.net>), SHK & Associates
(primary)
Frank Armour, Ph.D. (farmour(a)american.edu<mailto:farmour@american.edu>),
Kogod School of Business, American University
J. Alberto Espinosa, Ph.D.
(alberto(a)american.edu<mailto:alberto@american.edu>), Kogod School of
Business, American University
_______________________________________________
AISWorld mailing list
AISWorld(a)lists.aisnet.org