Human- Centric Integration of Next-Generation Data Science and Blockchain Technology
Advancing Society 5.0 Paradigms
- 1st Edition - March 17, 2025
- Imprint: Academic Press
- Editors: Amit Kumar Tyagi, Shrikant Tiwari
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 4 9 8 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 4 9 9 - 3
Human- Centric Integration of Next Generation Data Science and Blockchain Technology: Advancing Society 5.0 Paradigms focuses on the current technological landscape, addres… Read more
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Request a sales quoteHuman- Centric Integration of Next Generation Data Science and Blockchain Technology: Advancing Society 5.0 Paradigms focuses on the current technological landscape, addressing the evolving integration of data science and blockchain within the context of Society 5.0. This comprehensive resource explains the convergences between data science, blockchain, and the human-centric vision of Society 5.0, while also filling the gap in understanding and navigating this transformative intersection with recent shifts towards more decentralized and data-driven paradigms.
The book introduces the concept of Society 5.0, examining the historical context, and outlines the evolving technological landscape shaping our interconnected future. It discusses the fundamental principles of data science, from data collection and preprocessing to exploratory data analysis and explains the transformative impact of data science and blockchain across industries such as healthcare, finance, education, and transportation. This book is essential to understanding and shaping the future of technology and society from decentralized solutions to predictive analytics/ emerging technologies.
The book introduces the concept of Society 5.0, examining the historical context, and outlines the evolving technological landscape shaping our interconnected future. It discusses the fundamental principles of data science, from data collection and preprocessing to exploratory data analysis and explains the transformative impact of data science and blockchain across industries such as healthcare, finance, education, and transportation. This book is essential to understanding and shaping the future of technology and society from decentralized solutions to predictive analytics/ emerging technologies.
- Addresses the evolving integration of data science and blockchain within the context of Society 5.0
- Introduces the basic architecture and taxonomy of blockchain technology
- Explores the future urban lives under the concept of “Society 5.0”, characterized by the key phrases of data-driven society and knowledge-intensive society
- Offers a firm foundation and understanding of recent advancements in various domains such as data analytics, neural networks, computer vision, and robotics, along with practical solutions to existing problems in fields such as healthcare, manufacturing industries, security, and infrastructure management
Researchers, scientists, and academics in the field of information technologies, frontier research and medicine as well as policymakers
1. Introduction to Society 5.0 and the Technological Landscape
2. Emerging Technologies Shaping the Future
3. Foundations of Data Science
4. Fundamentals of Blockchain Technology
5. Decentralization and Consensus Mechanisms
6. Smart Contracts and Decentralized Applications (DApps)
7. Convergence of Data Science and Blockchain
8. Data Privacy and Security issues in Society 5.0
9. Ethical Issues in Data Science
10. Blockchain for Secure and Private Transactions
11. Predictive Analytics in a Decentralized World
12. Machine Learning for Predictive Modeling
13. Decentralized Systems Implementation
14. Tokenization and Its Applications
15. Human-Centric Design in Technology
16. User-Centered Design Principles
17. Industry Applications of Data Science and Blockchain in Society 5.0
18. Regulatory Landscape and Governance
19. Legal and Regulatory Issues
20. Real-world Examples of Data Science and Blockchain Synergies
21. Future Trends and Innovations in this Modern Era
22. Emerging Technologies on the Horizon of Modern Society
23. Anticipating the Next Wave of Developments
24. Educational Perspectives: Integrating Concepts into Courses
25. Conclusion
2. Emerging Technologies Shaping the Future
3. Foundations of Data Science
4. Fundamentals of Blockchain Technology
5. Decentralization and Consensus Mechanisms
6. Smart Contracts and Decentralized Applications (DApps)
7. Convergence of Data Science and Blockchain
8. Data Privacy and Security issues in Society 5.0
9. Ethical Issues in Data Science
10. Blockchain for Secure and Private Transactions
11. Predictive Analytics in a Decentralized World
12. Machine Learning for Predictive Modeling
13. Decentralized Systems Implementation
14. Tokenization and Its Applications
15. Human-Centric Design in Technology
16. User-Centered Design Principles
17. Industry Applications of Data Science and Blockchain in Society 5.0
18. Regulatory Landscape and Governance
19. Legal and Regulatory Issues
20. Real-world Examples of Data Science and Blockchain Synergies
21. Future Trends and Innovations in this Modern Era
22. Emerging Technologies on the Horizon of Modern Society
23. Anticipating the Next Wave of Developments
24. Educational Perspectives: Integrating Concepts into Courses
25. Conclusion
- Edition: 1
- Published: March 17, 2025
- Imprint: Academic Press
- No. of pages: 490
- Language: English
- Paperback ISBN: 9780443334986
- eBook ISBN: 9780443334993
AT
Amit Kumar Tyagi
Dr. Amit Kumar Tyagi is Assistant Professor and Senior Researcher at Vellore Institute of Technology (VIT), Chennai, India. His current research focuses on Machine Learning with Big Data, Blockchain Technology, Data Science, Cyber Physical Systems, Smart and Secure Computing and Privacy. He has contributed to several projects such as “AARIN” and “P3-Block” to address some of the open issues related to the privacy breaches in Vehicular Applications (such as Parking) and Medical Cyber Physical Systems. He received his Ph.D. Degree from Pondicherry Central University, India. He is a member of IEEE.
Affiliations and expertise
Assistant Professor, at National Institute of Fashion Technology, New Delhi, IndiaST
Shrikant Tiwari
Dr. Tiwari received his Ph.D. in the Department of Computer Science & Engineering (CSE) from the Indian Institute of Technology (Banaras Hindu University), Varanasi (India) in 2012 and M. Tech. in Computer Science and Technology from the University of Mysore (India) in 2009. Currently. He is working as an Associate Professor in the School of Computing Science and Engineering (SCSE), Galgotias University, Greater Noida, Gautam Budha Nagar, Uttar Pradesh (India). He has authored and co-author more than 50 national and international journal publications, book chapters, and conference articles. He has five patents filed to his credit. His research interests include machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. Dr. Tiwari is a FIETE and member of ACM, IET, CSI, ISTE, IAENG, SCIEI. He is also a guest editorial board member and a reviewer for many international journals of repute.
Affiliations and expertise
Associate Professor in the School of Computing Science and Engineering (SCSE), Galgotias University, Greater Noida, Uttar Pradesh, India.Read Human- Centric Integration of Next-Generation Data Science and Blockchain Technology on ScienceDirect