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

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.

• 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

Amit Kumar Tyagi is an Assistant Professor at the National Forensic Sciences University, Gandhinagar, India. He previously held academic and research positions, including at Vellore Institute of Technology (2019–2022), and earned his PhD from Pondicherry Central University in 2018.

He has supervised doctoral and master’s students and contributed to research projects on privacy and security in vehicular applications and medical cyber-physical systems. He has published over 200 peer-reviewed papers and holds more than 25 patents in areas such as deep learning, the Internet of Things, cyber-physical systems, and computer vision.

He has edited over 25 books and authored four books in related fields, and has received multiple research awards. His interests include machine-based communications, blockchain, and secure, privacy-preserving computing. He is a member of ACM and IEEE.

Dr. Tiwari is Associate Professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, India. He received his Ph.D. in Computer Science and Engineering from the Indian Institute of Technology (Banaras Hindu University), Varanasi, in 2012. His research focuses on machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. He has contributed to the scholarly literature through journal articles, conference papers, and book chapters, and he is associated with several patent applications. Dr. Tiwari is a Fellow of IETE and a member of professional organizations including ACM, IET, CSI, ISTE, IAENG, and SCIEI. He also serves the research community as a guest editorial board member and reviewer for international scholarly journals.