-------- Forwarded Message --------
CALL FOR PAPERS AMCIS 2021
Virtual Conference, August 9 - 13, 2021
Paper submission deadline: March 1 (5:00pm Eastern Standard Time,
US)
Submission System Link:
<https://new.precisionconference.com/user/login>
https://new.precisionconference.com/user/login
TRACK: AI and Semantic Technologies for Intelligent Information
Systems
Sponsoring SIG: SIGODIS
The purpose of this track is to provide a forum for academics and
practitioners to identify and explore the issues, opportunities,
and
solutions using Artificial Intelligence, computational ontologies,
data
driven IS, and intelligence related to business and systems
including the
social web, intelligent systems design, implementation,
integration and
deployment. An increasing number of artificial intelligence-based
systems
are being developed in different application domains employing a
variety of
tools and technologies. This track is intended to increase
cross-fertilization of ideas from these areas, share lessons
learned and
stimulate areas for further research.
Track Chair:
Don Heath, University of Wisconsin Oshkosh (
drheath2@gmail.com
<mailto:drheath2@gmail.com> )
Mini-track:
Artificial Intelligence and Machine Learning: Antecedents,
Mechanisms, and
Consequences - Social, Ethical, & Practical
Artificial intelligence (AI) and machine learning (ML) have
brought
significant changes to workplaces and our daily lives. However,
there are
many issues that remain unresolved. In this mini-track, we focus
on the
social, ethical, and practical aspects of AI and ML, and
investigate the
antecedents, mechanisms, and consequences of the use of AL and ML.
Issues of
interest include but are not limited to the following: 1) factors
affecting
automation through AI and ML, including both technical and
practical
factors, 2) how to automate work through AI and ML, 3) how AI and
ML are
used in practice, 4) issues related to the use of AI and ML, such
as legal,
ethical, governance, and biased use. 5) consequences and impact of
use of AI
and ML, such as operational efficiency and effectiveness, business
performance, job displacement, and dark side of AI or ML.
Mini-track Chair:
Gang Peng (
gpeng@fullerton.edu <mailto:gpeng@fullerton.edu>
)
Mini-track:
Innovative Technologies for Managing Data-intensive Systems
Evoked by recent trends, such as big data, data science or cloud
computing,
the planning and engineering of IS in today's data-driven world is
getting
progressively a more complex task. In many cases, sophisticated
approaches
are required to overcome the data-intensive nature of such
endeavors. At
this point, established technologies, as they have been used for
many years,
are reaching their limits. However, innovative technologies and
concepts,
such as automation, continuous integration, micro services, domain
specific
ontologies or decision support systems appear to be promising
"enablers" to
meet the current demands. To overcome their realization
shortcomings, a
plethora of facets must be handled. Hence, in this mini-track, we
welcome a
variety of research approaches including, but not limited to,
theoretical
articles, reviews and use case studies that are related to the use
of
innovative technologies for planning, engineering, deploying,
testing and
operating data-intensive systems.
Mini-track co-chairs:
Matthias Volk (
matthias.volk@ovgu.de
<mailto:matthias.volk@ovgu.de> ) Daniel Staegemann
(
daniel.staegemann@ovgu.de
<mailto:daniel.staegemann@ovgu.de> )
Mini-track:
Artificial Intelligence, Machine Learning and Automation in
Business -
Tools, Technologies, and Techniques
Artificial Intelligence (AI) is assuming increasing importance in
business,
specifically in the areas of machine learning, analytics,
statistical
analyses, and a variety of big data-related topics. The purpose of
this
mini-track is to provide a venue for forum for researchers
involved in basic
discovery investigations, applied research investigating business
phenomena,
and tool or platform development associated with large data sets
or other
AI-related areas.
Mini-track co-chairs:
John Erickson (
johnerickson@unomaha.edu
<mailto:johnerickson@unomaha.edu>
) Keng Siau (
siauk@mst.edu <mailto:siauk@mst.edu> )
Mini-track:
Promises and Perils of Artificial Intelligence and Machine
Learning:
Disruption, Adoption, Dehumanisation, Governance, Risk and
Compliance
In the last decade, Artificial Intelligence (AI) and Machine
Learning (ML)
have developed from peripheral technologies to dominant drivers of
innovation. They are routinely used to recognize images; parse
speech;
respond to questions; make decisions; and replace humans.
Given that AI and ML tools are becoming a part of our everyday
lives, it is
critical that researchers and practitioners understand their state
of art,
adoption and influence. Improperly deployed AI and ML tools can
incorporate
biases, violate privacy, threaten safety, and take questionable
decisions
that can affect individuals, organizations and ultimately society.
This mini-track will focus on the promises and perils of AI and ML
with a
particular focus on (a) adoption, (b) disruption, (c) potential
dehumanisation, and (c) governance, risk and compliance mechanisms
required
to protect and enhance human wellbeing. We welcome wide-ranging
papers with
qualitative and quantitative orientations; with theoretical and
practical
contributions; from personal, organizational and societal
perspectives.
Mini-track co-chairs:
Valeria Sadovykh (
valeriasadovykh@gmail.com
<mailto:valeriasadovykh@gmail.com> ) David Sundaram
(
d.sundaram@auckland.ac.nz
<mailto:d.sundaram@auckland.ac.nz> ) Kevin Craig
(
kac0117@auburn.edu <mailto:kac0117@auburn.edu> )
Mini-track:
Artificial Intelligence and its Role in Intelligent Systems
Artificial Intelligence and Intelligent Systems are experiencing a
resurgence. Significant progress has been made over the last few
years in
the development of machine learning, and computational
intelligence
techniques such as bio/nature-inspired computing, deep learning,
and
cognitive computing. Similarly, there is an upsurge in the
application of AI
technologies and multi-agent systems in a variety of fields such
as
electronic commerce, internet of things, computer vision, natural
language
processing, speech and voice recognition, and healthcare. While
research on
various aspects of artificial intelligence is progressing at a
very fast
pace, there are still a number of issues that have to be explored
in terms
of the design, implementation and deployment of AI applications
and
multi-agent systems. This mini-track provides a forum for sharing
cutting
edge research in AI applications and their implications on
organizations.
Best papers from this mini-track will be fast tracked for
publication in a
special issue of International Journal of Intelligent Information
Technologies (
http://www.idea-group.com/IJIIT).
Mini-track co-chairs:
Vijayan Sugumaran (
sugumara@oakland.edu
<mailto:sugumara@oakland.edu> ) Stefan Kirn
(
stefan.kirn@uni-hohenheim.de
<mailto:stefan.kirn@uni-hohenheim.de> )
Mini-track:
Customer Experience and Organizational Intelligence
Increasingly, organizations are interacting with current and
potential
customers across a plenitude of IT-mediated "touch points".
Consequently,
coordinating strategies will likely dominate management thought in
the near
and intermediate term as the number and variety of these "touch
points"
continues to expand. Effective strategies will rely on quality
practitioner
and academic research on a variety of issues, such as how to:
differentiate
user experience across points of interaction, increase reach to
the
consumer, improve conversion rates, sustain consumer loyalty,
manage the
global and the local experience, etc. The end customer is at the
focus, with
various technologies, devices and networks facilitating seamless
computing,
communication, collaboration as well as commerce related
functionalities to
the end users. This is made possible by embedding data, sensors,
controllers, and other devices into the physical and virtual
spaces of human
beings thereby facilitating seamless interactions and
co-engagement between
the end customer and the organization.
Mini-track co-chairs:
John Muraski (
muraskij@uwosh.edu <mailto:muraskij@uwosh.edu>
) Ivor Addo (
addoid@uwosh.edu <mailto:addoid@uwosh.edu> )
Michael Patton (
pattonm@uwosh.edu <mailto:pattonm@uwosh.edu>
) Kathleen Lynch (
lynchk@uwosh.edu <mailto:lynchk@uwosh.edu>
)
Submission Information:
URL for submission:
<https://new.precisionconference.com/user/login>
https://new.precisionconference.com/user/login
URL for Info on types of submission:
<https://amcis2021.aisconferences.org/submissions/types-of-submissions/>
https://amcis2021.aisconferences.org/submissions/types-of-submissions/
Important dates:
* March 1 (5:00 pm Eastern Standard Time, US) - Paper submission
deadline for research papers and Emergent Research Forum (ERF)
papers
* April 21 (5:00 pm EST) - Workshops, panels, TREO (Technology
Research,
Education, and Opinion), and PDS (Professional Development
Workshops)
submission deadline
* May 7, 2021 - Program Chair decisions are sent to authors
(TREOs, PDS,
Panels and Workshops)
* August 9-13 - AMCIS (Virtual) Conference
================================================
Vijayan Sugumaran, Ph.D.
Distinguished Professor, Management Information Systems
Chair, Department of Decision and Information Sciences
Co-Director, Center for Data Science and Big Data Analytics
School of Business Administration
Oakland University
Rochester, MI 48309
Phone: 248-370-4649
Fax: 248-370-4275
Email:
<mailto:sugumara@oakland.edu> sugumara@oakland.edu
================================================
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