-------- Forwarded Message -------- Subject: [AISWorld] Final CALL FOR BOOK CHAPTERS to book: Driving Socioeconomic Development with Big Data Date: Wed, 1 Jun 2022 15:30:08 +1000 From: Zhaohao Sun zhaohao.sun@gmail.com To: aisworld@lists.aisnet.org CC: Rowan Rumbaugh rrumbaugh@igi-global.com
Final 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* 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 the 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 June 30, 2022.
Authors of the accepted proposals will be notified by July 10, 2022, and provided with detailed guidelines for developing the chapter manuscript. Full chapters are to be submitted online by July 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
· June 30, 2022, chapter proposal submission deadline to the editor.
· July 10, 2022, the authors of the accepted proposals will be notified.
· July 30, 2022, Submission deadline of the full chapters.
· September 30, 2022: Review results due to authors.
· October 20, 2022: Revisions are due from authors.
· November 20, 2022: Final acceptance/rejection notification due to authors.
· Dec 20, 2022: All final accepted materials 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@gmail.com _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org