Call for Chapters: Intersections of Law and Computational Intelligence in Health Governance

Editors

Komal Vig, Dean and Professor, Sharda School of Law, Sharda University, India, India
Christian Kaunert, Professor of International Security, Dublin City University, Ireland & Professor of Policing and Security, Director, International Centre for Policing and Security, University of South Wales, UK, Ireland
Bhupinder Singh, Professor, Sharda School of Law, Sharda University, India, India

Call for Chapters

Proposals Submission Deadline: April 28, 2024
Full Chapters Due: June 30, 2024
Submission Date: June 30, 2024

Introduction

Computational intelligence (CI) refers to computer capacities that correspond with the intelligence of humans. Artificial intelligence (AI) technologies are used in healthcare to improve services and solutions through the use of machine learning, cognitive computing, data analytics, wireless communication and mobile computing. Artificial intelligence (AI) provides efficient ways to gather, process and use the large amounts of knowledge required by contemporary healthcare through the use of methodologies like fuzzy models, artificial neural networks, evolutionary algorithms and probabilistic approaches. Artificial intelligence (AI) technologies are being used in a variety of legal tasks, including contract analysis, legal research, and case outcome predicting. These technologies include computer vision, natural language processin, and machine learning algorithms. While using AI in law has the potential to increase productivity and reduce costs, there are concerns about privacy violations, biases and the requirement for explicit accountability protocols. This book systematically explores legal considerations within healthcare-related computational intelligence across various relevant disciplines, such as public health, law, nutrition, computer science, dentistry, psychology, engineering, medicine, nursing, pharmacy, social sciences and other healthcare professions.

Objective

This book explains the fundamentals of computational intelligence and related approaches concerning healthcare and governance. It addresses issues with data analysis and storage inside healthcare facilities by covering state-of-the-art Computational intelligence (CI) methodologies and associated techniques used in healthcare systems. Its main goal is to provide academicians and researchers with the most recent research discoveries that are relevant to the healthcare industry. It does this by providing a thorough platform for cutting-edge developments, research techniques and implementation strategies. Its objectives include examining the extent to which these legal aspects are prioritized in different fields, analyzing the breadth and nature of research endeavors across disciplines, synthesizing and disseminating research outcomes to relevant stakeholders, and identifying research gaps within existing literature. These objectives form the cornerstone of a comprehensive review strategy aimed at advancing understanding and practice in this complex intersection.

Target Audience

This book would be of interest to a wide range of readers who are eager to learn about the legal and regulatory landscape and how it affects the incorporation of AI into healthcare governance. The target audience of this book will be composed of legal professionals and researchers working in the field of law, computational intelligence, information and knowledge management in various disciplines. The medical practitioners such as doctors, nurses, pharmacists and other healthcare workers who are interested in learning more about how the laws governing their field are influencing the application of computer intelligence in medicine. Technology experts who focus on data analytics, artificial intelligence, machine learning and related fields who want to know how the law governs the use of these technologies in healthcare. The Government Officials like- Advisors on policy, regulators and government representatives engaged in the creation of laws and rules concerning technology and healthcare. Stakeholders in the industry include leaders and executives in the healthcare sector as well as pharmaceutical, medical device and technology businesses. They are all involved in navigating the legal issues surrounding the use of computational intelligence in healthcare governance. Educational Institutions where Academics and students engaged in interdisciplinary research at the nexus of law, technology and healthcare who are enrolled in computer science departments, public health programs, law schools and medical schools. Members of institutional review boards and ethics committees who assess the moral and legal complications of medical research and innovation.

Submission Procedure

Researchers and practitioners are invited to submit on or before April 28, 2024, 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 May 12, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by June 30, 2024, and 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. 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, Intersections of Law and Computational Intelligence in Health 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.

Publisher

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 https://www.igi-global.com. This publication is anticipated to be released in 2025.

Important Dates

April 28, 2024: Proposal Submission Deadline
May 12, 2024: Notification of Acceptance
June 30, 2024: Full Chapter Submission
August 4, 2024: Review Results Returned
September 1, 2024: Final Acceptance Notification
September 8, 2024: Final Chapter Submission

Inquiries

Komal Vig
Dean and Professor, Sharda School of Law, Sharda University, India
komal.vig@sharda.ac.in

Christian Kaunert
Professor of International Security, Dublin City University, Ireland & Professor of Policing and Security, Director, International Centre for Policing and Security, University of South Wales, UK
christian.kaunert@dcu.ie

Bhupinder Singh
Professor, Sharda School of Law, Sharda University, India
bhupindersinghlaw19@gmail.com

Classifications

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

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