Call for Chapters: AI, IoT, and Blockchain Breakthroughs in E-Governance


Kavita Saini, Galgotias University, India
Gowri Ganesh N.S., Malla Reddy college of Engineering and Technology, Hyderabad, India
Mummoorthy A, Malla Reddy college of Engineering and Technology, Hyderabad, India

Call for Chapters

Proposals Submission Deadline: September 28, 2022
Full Chapters Due: December 11, 2022
Submission Date: December 11, 2022


In the daily lives of citizens, the access of government services through the internet and digital technologies have become crucial. ICT (Information and Communication Technology) simplifies the implementation of government schemes using e-governance in order to demonstrate good governance. There are numerous benefits to having good governance in a country. It establishes an effective political framework conducive to private economic action in order to maintain stable regimes. Good governance also ensures the well-being of citizens. The primary goal of good governance is also to be citizen-centered, result-oriented, and market-oriented. The stages of good governance maturity are represented as presence, interaction, transaction, and transformation. Previously, the government used available technologies such as websites and web applications with databases to implement e-governance. Governments are interested in adapting the new technologies for smart governance due to advancements in the technology space with promising contributions in the fields of Artificial intelligence (AI), Machine learning, Deep learning, Block chain Technology, IoT, cloud computing, and Edge computing. There are now a plethora of IoT devices on the market that can connect to the internet and the desired environment to produce sufficient and reliable data that is required by the government administration for a variety of purposes. On the other hand, the potential benefits of incorporating AI and machine learning into governance are numerous. Governments can use AI and machine learning to enforce the law, detect fraud, and monitor urban areas by identifying risks before they occur. The government can use AI to easily automate processes and replace mundane and repetitive tasks. One well-known depiction of industry automation is the use of robots and other devices with the assistance of AI. AI is used in smart cities for smart parking, smart factories, smart urban administration, and many other applications. When open data is a requirement for good governance, data security is also important to avoid data loss. Blockchain technology has proven to be secure in a decentralized environment. Though it is highly regarded in the financial sector, such as the banking sector, it has also demonstrated its concept in non-financial domains such as supply chain management and digital identities. This book vividly describes all of the promising AI and machine learning algorithms in the context of IoT devices and Block chain technology. This is demonstrated by the use of open data and information technology for smart governance in government-to-citizen (G2C),Government to Government (G2G), and Government to Employee (G2E) sectors (G2E) and government-to-business (G2B) interactions. Smart governance boosts democracy, welfare, and public participation. This also improves the government's and the general public's system transparency. In terms of the simplicity with which e-governance may be implemented, the widespread usage of digital devices in everyday life is a big benefit. Smart governance will help education, security, transportation, resource management, and economic infrastructure.


The goal of this book is to clearly define and emphasize various AI algorithms, as well as new IoT and blockchain breakthroughs in the field of e-governance. The discipline of data analytics, security is on the verge of reaching new heights, thanks to the introduction of AI capabilities. Every chapter will cover blockchain technology, ML and DL algorithms, their origins, problems and benefits and various government use cases, to clearly explain the growing power of AI and security algorithms for the development and operation of e-governance applications. A thorough in-depth understanding of AI algorithms through real use case application can help to kindle interest in research. Students, scholars, bureaucrats, industrialists in and scientists interested in AI , cybersecurity and blockchain can greatly benefit from this book.

Target Audience

• The Graduate and Post-graduate Students • The Academic Professors IT Professionals (Application Architects, Software Engineers, Data Scientists, cybersecurity) • Government decision makers Industrialists • The book will be useful for the Academicians, bureaucrats, industrialists and scientists in the field of AI, cybersecurity and blockchain focusing in the development of e-Govenance applications

Recommended Topics

1.Introduction to Digital governance and its progress towards smart governance 2.Transition from standalone systems to distributed applications and its types in e-governance 3.Foundation of Blockchain technology for the growth of smart governance 4.Introduction to AI, Machine learning and IoT architecture to support smart governance 5.Smart contracts to implement Regulations and standards for secured digital governance 6.Automation of e-governance using AI 7.AI based big data algorithms and machine learning techniques for managing data in e-governance 8.Security in smart governance 9.Block chain technology in supply chain, registration of vehicles and document management system 10.Security in Cloud computing and Edge computing for secured smart applications 11.Impact of 5G technologies in smart governance 12.Application of Machine learning and Blockchain technology for smart healthcare applications 13.Promises and potential benefits, Risks and challenges of AI use in government 14.Identification of AI techniques towards the aid of the agriculture 15.Smart cities and e-Governance

Submission Procedure

Researchers and practitioners are invited to submit on or before September 28, 2022, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by October 12, 2022 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by December 11, 2022, and all interested authors must consult the guidelines for manuscript submissions at prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, AI, IoT, and Blockchain Breakthroughs in E-Governance. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.


This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit This publication is anticipated to be released in 2023.

Important Dates

September 28, 2022: Proposal Submission Deadline
October 12, 2022: Notification of Acceptance
December 11, 2022: Full Chapter Submission
January 24, 2023: Review Results Returned
March 7, 2023: Final Acceptance Notification
March 21, 2023: Final Chapter Submission


Kavita Saini
Galgotias University

Gowri Ganesh N.S.
Saveetha College of Engineering, Chennai, India

Mummoorthy A
Malla Reddy college of Engineering and Technology, Hyderabad

Malla Reddy college of Engineering and Technology, Hyderabad


Business and Management; Computer Science and Information Technology; Environmental, Agricultural, and Physical Sciences; Medical, Healthcare, and Life Sciences; Security and Forensics; Government and Law; Science and Engineering
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