-------- Forwarded Message --------
*Journal of Data, Information, and Management*
*Call for Paper for Special Issue on*
*Big Data Analytics and Artificial Intelligence to Combat a
Pandemic*
COVID-19 has become a global public health pandemics, causing
hundreds of
thousands of deaths and trillions of dollars of economic damage.
Scientists, researchers, doctors and healthcare experts around the
world are studying this pandemic and its impacts on individuals,
organizations and societies. While there is no cure yet for the
virus,
contact tracing has become an important part of the response to
the
covid-19 pandemic. This has led to calls for new technologies such
as
machine learning and artificial intelligence, capable of
detecting,
tracking, and isolating Covid-19 cases, to slow the spread of the
coronavirus. This also includes performing predictive analytics on
relational, temporal and/or spatial data (medical encounter data,
hospital
admission data, social media data, mobile apps data and others)
and use the
insights from it to understand and monitor the epidemic. Further,
the
impact of Covid-19 is not limited just to the healthcare sector as
all
other sectors of any economy of the world are affected as well.
Therefore, due to the Covid-19 pandemic, the need to understand
different
things in a new way has also created pressure to develop
analytical tools.
In particular, research has been done on how the virus spreads
among the
population and what health problems are caused by viral
infections, as well
as how different treatment measures affect the disease. Recently,
however,
other problems caused by the Covid-19 virus, such as economic and
social
problems, have also arisen. These various problems are constantly
accumulating a considerable amount of data, which can be either a
well-defined or fragmented news stream.
In this special issue of the *Journal of Data, Information and
Management*
on the theme of “Big Data Analytics and Artificial Intelligence
(including
machine learning) to combat Covid-19” is intended to obtain
insights and
viewpoints from scholars and practitioners on the use of new
technologies
such as artificial intelligence and machine learning for the
prevention or
reduction of the negative impact of COVID-19. We seek for articles
that
apply artificial intelligence, machine learning and data science
concepts
and techniques to study the pandemic and its effects on
individuals,
organizations or the supply chain at large.
Topics of interests include, but are not limited to:
· The behavioral, temporal, societal, and organizational aspects
of
the pandemic
· Predictive modeling of COVID-19 spread based on hospital data
· Location-based human mobility data (e.g. social media, mobile)
to
track COVID-19
· Use of AI and machine learning enabled devices to detect
COVID-19
· Analysis of disease transmissions and interventions
· Data analysis of the impact of various
(non)government intervention policies (e.g. stay-at-home, mask
mandate) on
the COVID-19 transmission
· How enterprise systems (i.e. ERP, SCM, CRM) complement, the ever
increasing need to work from home.
· Urban logistics
· Sustainability issues
· Supply Chain Flexibility
· Food Supply Chains
· Distant work (productivity and social impact)
· Innovation in the supply chain
· Globalization of supply chains
· Supply Chain Risk
· Innovative strategies to limit risk of epidemic disease
propagation
· Simulation of outbreak events
· Big data-driven health system response to epidemic outbreaks on
operations risk identification
· AI-based epidemic network analysis
· MCDM models in field of healthcare risk management
· IoT application in healthcare
· Humanitarian logistics dealing with uncertainties
· Other topics related this special issue
*Important Dates:*
December 15, 2020: Submission deadline for paper submission
January 31, 2021: First round of reviews to the authors
March 31, 2021: Submission of the revised papers
May 15, 2021: Notification of the acceptance decision
August 1, 2021: Publication of the special issue
*Guest Editor-in-Chief:*
Jatinder N. D. Gupta, University of Alabama in Huntsville,
*guptaj@uah.edu
<guptaj@uah.edu>*
*Guest Editors*:
Markku Kuula, *markku.kuula@aalto.fi
<markku.kuula@aalto.fi>*
Yanfei Lan, Tianjin University, *lanyf@tju.edu.cn
<lanyf@tju.edu.cn>*
Amir Zadeh, Wright State University, *amir.zadeh@wright.edu
<amir.zadeh@wright.edu>*
*Submission Instructions**:* Inquiries about this special issue
should be
directed to guest editors. All papers must be submitted through
the
official online submission system at
*
https://www.editorialmanager.com/dima/default.aspx
<https://www.editorialmanager.com/dima/default.aspx>*, and
select the
special issue from the menu. Please follow the instructions to
authors
*
https://www.springer.com/journal/42488/submission-guidelines
<https://www.springer.com/journal/42488/submission-guidelines>*.
All papers
will undergo the journal’s standard initial screening processes.
For questions about this special issue, please contact the guest
editor-in-chief, Jatinder Gupta via e-mail at *guptaj@uah.edu
<guptaj@uah.edu>* or telephone at +1 256 824-6593.
Best regards,
Jatinder (Jeet) N. D. Gupta, PhD, CFPIM
Director, Integrated Enterprise Lab
Eminent Scholar and Professor
College of Business
The University of Alabama in Huntsville
301 Sparkman Drive
Huntsville, AL 35899
Phone: 256-824-6593 (office)
256-520-0175 (cell)
FAX: 256-824-6328
E-mail:
guptaj@uah.edu