[AISWorld] Call For Book Chapters: BOOK: Driving Socioeconomic Development with Big Data

[Zhaohao Sun]

CALL FOR BOOK CHAPTERS



Book:  *Driving Socioeconomic Development with Big Data**: Theories,
Technologies, and Applications*

Edited by Prof. Dr. Zhaohao Sun

To be published by *IGI Global, USA by the end of 2022 or early 2023*
Introduction

Big data has become one of the most important frontiers for research and
development in academia and industries. Big data has also become the
strategic resource of an organization and a country. Big data technologies
have made significant progress since 2012 with the dramatic progress of
artificial intelligence and data science. As a kind of big data technology,
big data analytics is at the heart of any business, management,
decision-making, and socio-economic development. Big data and its emerging
technologies including big data analytics have been revolutionizing our
work, live styles, economies, and societies. Big data and big data
analytics have increasingly become critical elements for nearly all
industries and keys to a successful digital business and intelligent
business.

Socioeconomic development has drawn increasing attention in academia,
industries, and governments. The relationship between big data and its
technologies and socioeconomic development has drawn certain attention in
academia. The socio-economic development depends not only on big data but
also on big data technologies including big data analytics. However, the
following research challenges have not drawn much attention in academia and
industries. Why does big data matter to socioeconomic development? What is
the relationship between big data and socioeconomic development? How can
big data contribute to socioeconomic development? How can we apply big
data, big data technologies including big data analytics to expedite
socio-economic development? How can we use big data, big data technologies
including big data analytics to enhance digital services?

This book addresses the above-mentioned issues and challenges by exploring
the cutting-edge theories, technologies, and methodologies of big
data-driven socioeconomic development with applications, and highlights the
integration of artificial intelligence, business intelligence, intelligent
business, big data technologies, big data analytics, and analytics
intelligence from a perspective of computing, business, service, and
management. This book also provides an original and innovative
understanding of and insight into how the proposed theories, technologies,
and methodologies of big data can improve socioeconomic development and
sustainable development in terms of e-SMACS (electronic, service, mobile,
analytics, cloud, and social) business and services, healthcare, IoE (the
Internet of Everything), sharing economy, blockchain, 5G/6G technology,
cybersecurity, robotic automation, and Industry 4.0 in the real world. The
proposed approaches will facilitate research and development of big data,
big data technologies, intelligent analytics, big data analytics, data
science, digital transformation, e-business, digital service, service
computing, cloud computing, social computing, and more.


Objective of the book

This book titled “Driving Socioeconomic Development with Big Data:
Theories, Technologies, and Applications” aims to explore novel big data
theories, algorithms, technologies, methodologies, and applications for
driving socioeconomic development and sustainable development. The book
highlights at least two perspectives in terms of theories, technologies,
and applications. The first is from a perspective of big data and its
technologies to explore socio-economic development. The second is from a
perspective of socio-economic development to look at big data and its
technologies.



This is the first book titled “Driving Socioeconomic Development with Big
Data” to reveal the cutting-edge theories, technologies, methodologies, and
applications of big data, big data technologies including big data
analytics for promoting socioeconomic development and sustainable
development. This is also the first book demonstrating that big data and
big data technologies including big data analytics are at the center of
intelligent business, intelligent decision making, intelligent management,
digital transformation, governance, and services in the digital age.
Target audience

This book’s primary aim is to convey the theories, technologies, tools,
apps, thoughts, methods, and applications of driving socioeconomic
development with big data to scientists, engineers, educators and
university students, business, service, and management professionals,
policymakers, decision-makers, and others who have an interest in big data,
big data technologies, intelligent business analytics, AI, digital
transformation, e-SMACS business and intelligence, commerce, digital
service, data science, and socioeconomic development. Primary audiences for
this book are undergraduate, postgraduate students, and a variety of
professionals in the fields of big data, intelligent business analytics,
intelligent business and management, data science, information science and
technology, knowledge technology and engineering, intelligence science,
analytics, AI, ICT, computing, commerce, business, services, management,
and government. The variety of readers in the fields of government,
consulting, marketing, business, and trade, as well as the readers from all
the social strata, can also be benefited from this book to improve
understanding of the cutting-edge theories, technologies, methodologies,
tools, apps, and applications of driving socioeconomic development with big
data in the digital age.



Topics of Interest

We seek book chapters with original research that promotes the cutting-edge
theories, technologies, methodologies, tools, apps, and applications of driving
socioeconomic development with big data. Submissions that cross multiple
disciplines such as management, service, business, AI, intelligent systems,
computer science, data science, optimization, statistics, information
systems, knowledge systems, decision sciences, and industries to develop
theory and provide technologies and applications that could drive
socioeconomic development with big data, are especially encouraged.



 *Part I.  Theories of driving socioeconomic development with big data*



Topics: fundamental concepts, theories, principles, models/architectures,
frameworks, mechanisms, and foundations for driving socioeconomic
development with big data. The following topics might include, but are not
limited to.



1.          Big data driven socioeconomic development

2.          Big data technologies driven socioeconomic development

3.          Big data driven digital society development

4.          Big data driven smart city development

5.          Big data driven digital services

6.          Driving digital society development with big data analytics

7.          Driving socioeconomic development with AI/Ethic AI/Explainable
AI/ responsible AI

8.          Driving Socioeconomic Development with e-SMACS (electronic,
social, mobile, analytics, cloud, service as a web service) technologies

9.          Metaanalytics, metaintelligence, metaplatform, and metaverse
for driving socioeconomic development

10.      Self-service analytics and socioeconomic development

11.      Convergence of IoT, cloud, and big data and socioeconomic
development

12.      Theoretical foundations of driving socioeconomic development with
big data

13.      Frameworks and mechanisms for driving socioeconomic development
with big data

14.      Relativity principles of big data and small data

15.      Mathematical theory of big data

16.      Big data intelligence

17.      Analytics intelligence and thinking

18.      Business analytics intelligence

19.      Intelligent analytics ecosystems

20.      Big data analytics for automated decision making

21.      Computational foundations of intelligent analytics

22.      Mathematical fundamentals of intelligent analytics

23.      Fuzzy logic approach to intelligent business analytics

24.      ICT fundamentals for analytics

25.      Real-time algorithms for intelligent business analytics

26.      Machine learning and deep learning for intelligent business
analytics

27.      Data and text mining for intelligent business analytics

28.      Intelligent warehouses, intelligent mining, intelligent
statistical modelling

29.      Intelligent visualization of data, models, and insights.





 *Part II. Technologies for driving socioeconomic development with big data*



Technologies of big data-driven socioeconomic development in this book
include big data management, big data technology, intelligent technology,
computational technology, web technology, Internet technology, social
networking technology, cloud technology, intelligent business technology,
management technology, 5G/6G technology, and IoE (the Internet of
Everything)  technology, to name a few. Besides, technologies for driving
socioeconomic development with big data might include the following topics
of interest, but are not limited to.



1.          Intelligent technologies for big data, information, knowledge,
intelligence, and wisdom processing

2.          Demand for socio-economic development and sustainable
development for big data and big data technologies

3.          Digital transformation, innovation and revolution

4.          Platform economy and sharing economy

5.          Intelligent analytics technology

6.          Intelligent analytics systems and services

7.          Intelligent data visualization techniques for business
analytics

8.          Intelligent techniques for enterprise analytics and services
analytics

9.          Business processes flow oriented intelligent analytics

10.      Rule-based systems and expert systems

11.      Neural networks

12.      Fuzzy logic

13.      Intelligent agents and multi-agent systems

14.      Cased-based reasoning

15.      Genetic algorithms

16.      Data mining

17.      Intelligent user interfaces

18.      Intelligent big data/information/knowledge technologies

19.      Digital service technologies

20.      Social networking technologies

21.      Intelligent decision technologies

22.      Cloud computing, IoT, and IoE

23.      Big data technologies for micro, small & medium enterprises (MSMEs)

24.      Optimization techniques for intelligent business analytics

25.      Self-service analytics and self-service tools

26.      DIKIW (data, information, knowledge, intelligence, and wisdom) as
a digital service

27.      Optimization for big data, information, knowledge, intelligence,
and wisdom

28.      Machine-to-machine communication

29.      Big data driven small data technology and methodology.



*Part III. Applications of driving socioeconomic development with big data*

Applications of big data-driven socioeconomic development in this book
cover all the applications and case studies of big data, big data
technologies including intelligent analytics in business and management,
e-commerce, social networking, big data, digital transformation, eSMACS
business and services, IoT, 5G/6G systems, intelligent drones, healthcare,
smart cities, and other real-world problem-solving. Besides, real world
applications and case studies for driving socioeconomic development with
big data might include the following topics, but are not limited to.

1.      Big data driven digital innovation and entrepreneurship

2.      Intelligent analytics in business ecosystems

3.      IoT and IoE

4.      blockchain

5.      Big data driven business decision making

6.      Intelligent healthcare analytics

7.      Analytic flow-oriented business solutions

8.      Smart airport management

9.      Big data analytics for business innovation

10.  Big data analytics economy and platform economy

11.  Intelligent analytics for location intelligence

12.  Big data management and intelligent analytics

13.  Marketing analytics, healthcare analytics, management analytics and HR
analytics

14.  Big data analytics in banking industry

15.  Intelligent analytics in social networking services

16.  Intelligent analytics for big data, information, knowledge, and wisdom

17.  Cybersecurity and privacy in the big data age.

18.  Intelligent analytics for management

19.  Organization analytics

20.  Driving decision making with big data

21.  Analytics centric business and enterprise innovations

22.  SME oriented analytics intelligence

23.  Academic analytics, teaching analytics, and learning analytics

24.  Smart AI, intelligent business analytics adoption studies

25.  Ethical issues related to big data technologies

26.  Risks in adoption and deployment of business analytics and enterprise
analytics.

27.  Automated analytics process integration.

*Part IV. Emerging technologies and applications for driving socioeconomic
development with big data*

Topics:  Emerging cutting-edge theories, technologies, methodologies, and
applications for driving socioeconomic development with big data. The
following topics of interest might also include, but are not limited to.



1.      Big data analytics 2.0, 3.0, and 4.0

2.      Next generation of intelligent business analytics

3.      Intelligent business analytics for enhancing organization
intelligence and market intelligence.

4.      Challenges and opportunities for big data driven socioeconomic
development

5.      Ethic AI and responsible AI for driving socioeconomic development
with big data

6.      Challenges, opportunities, and implications for sustainable
development with big data

7.      Emergent big data technologies and tools

8.      Emergent small data technologies and tools

9.      Emergent technologies for analytics intelligence

10.  Challenges and opportunities for data mining, machine learning, IoT,
cloud computing, and data science

11.  Challenges and opportunities for intelligent analytics tools,
platforms, and systems

12.  Challenges, and trends of intelligent analytics and business analytics.
Submission Procedure

For detail, also see
http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=156300

or

https://www.igi-global.com/publish/call-for-papers/call-details/5830



All interested authors must submit a chapter proposal (abstract) consisting
of title, authors and affiliation information and about 150 words for the
proposed chapter identifying the main objectives of your contribution
online at https://www.igi-global.com/publish/call-for-papers/submit/5830,
by May 30, 2022.

Authors of the accepted proposals will be notified by June 10, 2022, and
provided with detailed guidelines for developing the chapter manuscript.
Full chapters are to be submitted online by June 30, 2022.
Submission Format and Evaluation

All interested authors must consult the guidelines for manuscript
submissions at
https://www.igi-global.com/publish/contributor-resources/before-you-write/
prior to submission.

Every book chapter submission consisting of 8,000-12,000 words is original.
Only ORIGINAL manuscripts will be accepted for publication by IGI-Global.
Upon acceptance of your book chapter, you will be required to sign a
warranty that your book chapter is original and has NOT been submitted for
publication or published elsewhere.

There are no submission or acceptance fees for manuscripts submitted to
this book publication, Driving Socioeconomic Development with Big Data:
Theories, Technologies, and Applications. All manuscripts are accepted
based on a double-blind peer review editorial process using the eEditorial
Discovery™ online submission manager. Conditioned accepted chapters will
have an additional opportunity for being improved and evaluated. In the
second evaluation, a definitive editorial decision among: accepted or
rejected will be reported. All of the accepted chapters must be submitted
according to the Editorial publishing format rules timely. Instructions for
authors can be downloaded at:

http://www.igi-global.com/Files/AuthorEditor/guidelinessubmission.pdf.

Contributors may also be requested to serve as reviewers for this project.

The final chapters are copy edited/proofed by the authors prior to
submission, following the IGI Global chapter formatting and submission
guidelines, which will be accessible for the contributor of book proposals.
Important Dates

·         May 30, 2022, chapter proposal submission deadline to the editor.

·         June 10, 2022, the Authors of the accepted proposals will be
notified.

·         June 30, 2022, Submission deadline for the full chapters.

·         September 30, 2022:  Review results due to authors.

·         October 20, 2022: Revisions due from authors.

·         November 20, 2022: Final acceptance/rejection notification due to
authors.

·         Dec 20, 2022: All final accepted materials are due from authors
to the publisher.
Editors’ Information

Prof. Dr. Zhaohao Sun, Ph.D.

Editor of the Book titled “Driving Socioeconomic Development with Big Data:
Theories, Technologies, and Applications”, to be released by IGI-Global

Department of Business Studies

PNG University of Technology

Lae 411, Morobe, Papua New Guinea

zhaohao.sun at gmail.com

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