-------- Forwarded Message --------
Dear Colleague,
This is a call for book chapter proposals for the book
*"Leveraging
Artificial Intelligence in Global Epidemics*" to be published by
*Elsevier.*
Deadline for submitting the Extended Summary: Sep 30, 2020
The individual chapters should provide a comprehensive overview of
the
chosen topic covering advances in the area and should be tutorial
in nature
and presentation, to appeal to a broad range of readers who may
NOT be
researchers on the topic. Hence, they shouldn't be like a research
paper.
You are hereby invited to submit first, a 2-3 page extended
summary
including (a) an abstract, (b) an outline / TOC / list of headings
and
sub-headings along with a summary of each heading, (c) short
biographies of
the authors, and (d) a statement why you are experts for the
proposed
chapter. Following a review of your summary, we'll offer our
feedback and
suggestions for improvement and better synergy with the rest of
the
chapters and cohesive coverage.
*Chapter Submission Link*:
https://easychair.org/conferences/?conf=aige2021
*Structure of the Book:*
The book is planned to have 11-12 chapters divided into two
sections. Part
I consists of 3 chapters providing a holistic overview of global
epidemics,
a motivation for the book and challenges. Part II consists of
emerging
technologies that help fight against epidemics. Part II has 6
chapters as
listed below. This makes 9 chapters. The rest 2-3 chapters are to
be added
dynamically based on the availability of authors (These chapters
may be on
The Use of Social Media for Tracking Public Behavior, Does AI help
in
Genome Sequencing, AI-assisted Testing, Computational Drug
Repurposing, or
any other trending and suitable topic in line with the title and
the theme
of the book).
*Part I: Controlling Epidemics: A Perspective*
This part provides an overview and study of Global Epidemic
situations. It
starts with assessing the countries' readiness for coping with
epidemics,
goes through the challenges in battling with epidemic, and then
closes with
a survey of existing approaches, techniques and tools available or
developed by academicians or industry professionals for
controlling the
epidemics.
1 Setting the Scene (A Chapter by the Editors)
This chapter provides an overview and summary of the complete book
as a
whole. It acts as glue between the chapters written by different
authors
and brings in synergy to all the chapters in both the parts of the
book. In
effect, it sets the scene for the reader and acts as an
introductory and a
must read before proceeding for the further chapters.
2 An Overview of Global Epidemics and the Challenges Faced
(a) Assessing Countries' Readiness for Coping with Epidemics:
There is a
need of retrospective evaluation of each country's readiness for
coping
with epidemics. An automated data collection followed by
evaluation will
help in knowing if the human kind is well-equipped to deal with
it.
(b) A Study related to Ebola, Corona viruses, Zika, influenza,
Dengue,
Chikungunya, Malaria like infectious diseases will be presented in
this
chapter. A discussion on the most fatal pandemics recorded in the
history
(like the Plague, Spanish Flu, HIV/AIDS, COVID-19) and their
economic
consequences. What is common in these? All these have jumped to
humans
after being originated in animals somehow.
(c) Challenges in Battling with Epidemics
(d) ...
3 A Survey of Existing Approaches and Tools to fight against
epidemic and
the lessons learnt
(a) Survey of tools/techniques/methodologies/software already
available at
the time of writing of this book to predict/detect/recommend
actions during
an epidemic situation.
(b) Lessons learnt by every epidemic that has struck this world
(including
COVID-19)
*Part II: Emerging Technologies Fight Against Epidemics*
Having gone through the background of controlling global epidemic
situation, this part of the book covers the emerging techniques to
fight
against epidemic. At the time of writing this book, COVID-19
pandemic was
caused by coronavirus and was widespread with deadly results. The
case
study of COVID-19 has been presented to better exploit the study
presented
in each chapter.
4 AI Technologies specialized to the need in the fight against
epidemic
All current technologies under the umbrella of AI or surrounding
AI should
be covered like Data Science, Big Data, Machine Learning, Semantic
Technologies, Data Analytics, cyber security.
5 Does AI help in Forecasting?
This chapter will speak about WHO statistics on pathogens. AI can
help
predicting everything about spillovers, hence allowing the
governments to
plan ahead. AI can predict what, when, why, and where of the
epidemic. We
define AI and discuss the various machine learning models to
predict the
same.
Case Study of Covid-19 for Predictions will be presented.
6 AI and Detection / Improved Diagnosis
In case of outbreak of a disease; after detection, we need to
publicize the
threat. AI makes possible quick detection in order to enable
possible
vaccination and treatment; and alerts for the public. Diagnosis
and
Monitoring of cases is of paramount importance.
Case Study of Covid-19 for Early Detection will be presented.
7 Generating Recommendations
A global, AI-enabled data system can provide advices and issue
warnings in
real time. Help manage socio-economic impacts.
8 Role of AI in Contact Tracing
The architecture of so called "Corona apps" and their backends is
described
in this chapter. The role of AI is clarified for these approaches
and also
other aspects like privacy and security. Furthermore, other
approaches to
contact tracing are introduced in this chapter.
9 Situation Awareness
In any disaster, it is essential that the citizens get the correct
information and organizations get the correct data. This chapter
describes
AI approaches to detect fake news or scams.
10-12 Open Topics dynamically picked by the authors
Any other trending and suitable topic in line with the title and
the theme
of the book can be incorporated.
Editors:
- Le Gruenwald, The University of Oklahoma, USA,
ggruenwald@ou.edu
- Sarika Jain, National Institute of Technology, Kurukshetra,
Haryana,
India,
jasarika@nitkkr.ac.in.
- Sven Groppe, University of Lübeck, Germany,
groppe@ifis.uni-luebeck.de
*Deadlines:*
Extended Summary: Sep 30, 2020
Notification of Proposal Approval: Oct 20, 2020
Full Chapter Submission: Jan 10, 2020
Best Regards
Dr. Sarika Jain
Assistant Professor at the Department of Computer Applications
National Institute of Technology Kurukshetra, India
https://sites.google.com/view/nitkkrsarikajain/
########################################
Consider contributing to the
International Semantic Intelligence Conference ISIC2021
<https://www.ifis.uni-luebeck.de/~groppe/isic/>
Delhi India Feb 25-27, 2021
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