[AISWorld] Call for Chapters: Encyclopedia of Data Science and Machine Learning

[John Wang]

Call for Chapters

*June 18, 2021:  *2nd proposal submission deadline
*July 17, 2021*:  Notification of Acceptance
*September 16, 2021*:  Full Chapter Submission



I would like to cordially invite you to consider contributing your
expertise to an extremely important book entitled *Encyclopedia of Data
Science and Machine Learning* for the 4th Industrial Revolution. As Editor,
I am actively searching for quality material that would be of interest to
our audience. This is a wonderful opportunity since contributing authors
are generally viewed by others as experts in the sub-field(s) of their
chapter content. You can revise, update, and expand your previous
contribution(s) because the new encyclopedia covers almost everything.  In
addition, you are more than welcome to forward this message to your
coauthors, colleagues, research community, Ph.D. students, as well as any
scholar(s) who might be interested in participating in this project because
we need many contributors from different subareas/perspectives covering its
huge topics. More proposals/chapters from an individual or a group are
still fine. Please read the following details regarding this forthcoming
volume. Thanks.



Sincerely,

John Wang, Professor

Montclair State University, USA



Introduction

Big Data and Machine Learning (BD&ML) are driving the Fourth Industrial
Revolution, also referred to as Industry 4.0. With the age of Big Data upon
us, we risk drowning in a flood of digital data. Big Data has now become a
critical part of the business world and daily life, as the synthesis and
synergy of Machine Learning and Big Data has enormous potential. BD&ML will
not only maximize the citizens’ wealth, but also promote all society’s
health. The *Encyclopedia of Data Science and Machine Learning* examines
current, state-of-the-art research in the areas of data science, machine
learning, data mining, optimization, artificial intelligence, statistics,
and the interactions, linkages, and applications of knowledge-based
business with information systems. It provides an international forum for
practitioners, educators, and researchers to advance the knowledge and
practice of all facets of BD&ML, emphasizing emerging theories, principles,
models, processes, and applications to inspire and circulate cutting-edge
findings into research, business, and communities.

Objective

Data Scientist was labeled by Harvard Business Review as the sexiest job of
the 21st century (http://www.hbs.edu/faculty/Pages/item.aspx?num=43110) and
has been chosen as the best job in America, three years in a row according
to Glassdoor. In such a new Age of Big Data and ever-evolving environment;
managers, executives, researchers, teachers, and professionals of the
discipline need access to the most current information about the concepts,
issues, trends and technologies in a brand-new interdisciplinary area.
The *Encyclopedia
of Data Science and Machine Learning* will provide a collection of short
chapters (3,000-5,000 words each), authored by leading experts, offering an
in-depth description of concepts, issues, challenges, innovations, and
opportunities in the field of Big Data and Machine Learning and their
impact on all aspects of modern organizations and society in general.

Target Audience

This comprehensive volume is a critical resource for Big Data and Machine
Learning practitioners and scientists, including industry professionals,
technical managers, and corporate executives. In addition, educators,
scholars, graduate students, and government officers will also find this
book to be useful. Among the perspectives examined include historical
underpinnings, strategic planning and policy, hot job prospects, and future
directions, all of which are focused on the unique benefits and
capabilities found in Industry 4.0.

Recommended Topics

https://www.igi-global.com/publish/call-for-papers/call-details/5266



Submission Procedure

Researchers and practitioners are invited to submit on or before *June 18,
2021*, a chapter proposal of 1,000 to 2,000 words clearly explaining the
mission and concerns of his or her proposed chapter via *Propose Chapter >* at
the bottom of
https://www.igi-global.com/publish/call-for-papers/call-details/5266.
Authors will be notified by *July 17, 2021* about the status of their
proposals and sent chapter guidelines. Full chapters are expected to be
submitted by *September 16, 2021*, and all interested authors must consult
the guidelines for manuscript submissions at
https://www.igi-global.com/publish/contributor-resources/before-you-write/
<https://www.igi-global.com/publish/contributor-resources/before-you-write/>prior
to submission. All submitted chapters will be reviewed on a double-blind
review basis. Contributors may also be requested to serve as reviewers for
this project.

Note: There are no submission or acceptance fees for manuscripts submitted
to this book publication, *Encyclopedia of Data Science and Machine
Learning*. All manuscripts are accepted based on a double-blind peer review
editorial process.

All proposals should be submitted through the eEditorial Discovery® online
submission manager.


Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group
Inc.), an international academic publisher of the "Information Science
Reference" (formerly Idea Group Reference), "Medical Information Science
Reference," "Business Science Reference," and "Engineering Science
Reference" imprints. IGI Global specializes in publishing reference books,
scholarly journals, and electronic databases featuring academic research on
a variety of innovative topic areas including, but not limited to,
education, social science, medicine and healthcare, business and
management, information science and technology, engineering, public
administration, library and information science, media and communication
studies, and environmental science. For additional information regarding
the publisher, please visit https://www.igi-global.com. This publication is
anticipated to be released in 2022.


Important Dates

*June 18, 2021: *2nd proposal submission deadline
*July 17, 2021*: Notification of Acceptance
*September 16, 2021*: Full Chapter Submission
*December 6, 2021*: Review Results Returned
*February 14, 2022*: Final Acceptance Notification
*February 28, 2022*: Final Chapter Submission



Inquiries

For inquiries please contact the editor: prof.johnwang at gmail.com

John Wang, Professor

Montclair State University, USA