Human- Centric Integration of Next-Generation Data Science and Blockchain Technology

Advancing Society 5.0 Paradigms
Erscheinungsjahr 2025
ISBN: 978-0-443-33498-6
Verlag: Elsevier Science

Buch, Englisch, 490 Seiten, Format (B × H): 216 mm x 276 mm, Gewicht: 450 g

Human- 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.

Autoren/Hrsg.

Tyagi, Amit Kumar

Tiwari, Shrikant

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften

Inhaltsverzeichnis

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

Über Autor(innen)

Tiwari, Shrikant
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.