Call for Chapters: AI-Driven Decentralized Finance and the Future of Finance

Editors

Mohammad Irfan, NSB Academy Business School, India
Mohammed Elmogy, Mansoura University, Egypt
Swati Gupta, Universal Ai University, India
Fahmi Khalifa, Morgan State University, United States
Rui Dias, Polytechnic Institute of Setúbal, School of Business Sciences, Portugal

Call for Chapters

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

Introduction

In the ever-evolving landscape of finance, the amalgamation of Artificial Intelligence (AI) and Decentralized Finance (DeFi) is proving to be a seismic shift, reshaping the traditional paradigms of the financial industry. As financial ecosystems increasingly embrace the transformative power of technology, "AI-Driven DeFi: Transforming Finance in the Digital Age" emerges not just as a book but as a guiding beacon through the complexities of this revolutionary convergence. In recent years, we have witnessed the rise of DeFi platforms, decentralized lending protocols, and smart contracts, all fueled by the power of blockchain. Simultaneously, advancements in AI have pushed the boundaries of what is possible in data analysis, prediction modeling, and algorithmic decision-making. The synergy between these two technological powerhouses has given birth to a new era in finance—one that demands exploration, understanding, and a roadmap for navigating the uncharted territories ahead. Comprehensive Exploration: "AI-Driven DeFi" contributes by offering a comprehensive exploration of the multifaceted integration of AI within the decentralized financial landscape. From the optimization of smart contracts to the personalization of financial experiences, the book leaves no stone unturned in dissecting the key components of this revolutionary transformation. Practical Insights: The book provides practical insights for professionals seeking to leverage the potential of AI in their DeFi strategies. Real-world examples and use cases illustrate how AI is not merely a theoretical concept but a tangible force shaping the landscape of decentralized finance. Navigational Guide: By addressing regulatory challenges, ethical considerations, and emerging trends, the book serves as a navigational guide for readers—empowering them to navigate the complexities of AI-driven DeFi with clarity and confidence. Future Perspectives: "AI-Driven DeFi" doesn't just focus on the present; it looks to the future. The book contributes to the ongoing conversation about the evolution of AI and DeFi, offering insights into potential future developments, challenges, and opportunities on the horizon.

Objective

 Demystify the Intersection of AI and DeFi: The primary goal of the book is to demystify the intricate interplay between Artificial Intelligence (AI) and Decentralized Finance (DeFi). By providing a clear and accessible explanation of how these two transformative forces converge, the book aims to break down complex concepts into digestible insights for a diverse audience. Readers, regardless of their background, will gain a foundational understanding of how AI technologies are integrated into decentralized financial systems. This objective seeks to empower individuals to navigate and contribute to discussions surrounding the transformative potential of AI-driven DeFi.  Provide Actionable Insights for Professionals: Another key objective is to offer practical, actionable insights for finance professionals, technologists, and entrepreneurs looking to leverage AI in the context of decentralized finance. Real-world case studies, industry best practices, and examples of successful implementations will be included to guide professionals in applying AI strategies to their DeFi endeavors. Professionals within the financial industry will gain actionable knowledge, enabling them to harness the power of AI for optimizing smart contracts, enhancing security, and creating personalized financial experiences within decentralized ecosystems. This objective aims to bridge the gap between theoretical understanding and practical application.  Facilitate Informed Decision-Making and Future Planning: The book seeks to empower its readers with the knowledge required for informed decision-making in the rapidly evolving landscape of AI-driven DeFi. By analyzing regulatory challenges, ethical considerations, and emerging trends, the objective is to provide a holistic view that aids individuals and organizations in making strategic decisions and planning for the future. Readers will be equipped with insights to navigate the complex regulatory landscape, address ethical considerations associated with AI in finance, and stay ahead of emerging trends. This objective contributes to shaping a cohort of informed decision-makers who can actively participate in and influence the future direction of AI-driven DeFi.

Target Audience

Marketing considerations for the proposed book on green finance and sustainability could involve highlighting the expertise of the editor, who has a diverse profile that includes extensive experience in finance, DeFi, environmental economics and ML/AI. The editor's background in both academia and industry could be leveraged to showcase the book's relevance to a broad range of readers, from researchers and policymakers to business experts and industry professionals. This book will be compiled by five editors who are associated with famous universities across the globe. Dr. Mohammad Irfan, affiliated with NSB Academy, Business School, Bangalore, India. Dr. Irfan has connected with an expert in DeFi, green finance, alternative finance, fintech, AI & ML, and IT with 256+. Prof. Dr. Mohammed Elmogy, Faculty of Computers and Information, Mansoura University, Egypt along with 4042+ citations, He worked as a Visiting Researcher with the Bioengineering Department, University of Louisville, Louisville, USA, from July 2016 to August 2019. He has authored or coauthored over 230 research publications, and experts in Data Mining, Artificial Neural Network, Computer Engineering, and Artificial Intelligence. Dr. Fahim Khalifa, Clarence Mitchell School of Engineering, Morgan State University, USA, his area of specialization Computer Security and Reliability, Artificial Intelligence, Sociocybernetics, Communication and Media, Social Policy, Risk Management and Insurance, Macroeconomics, Financial Economics with 5817+ citations. Dr. Rui Dias, Professor, Polytechnic Institute of Setúbal, School of Business Sciences, Setúbal, Portugal with 1614+. The editorial board team will connect the faculty and scholar from India, Egypt, US, and Portugal. The contribution of the paper diversifies the authors of chapters.

Recommended Topics

 Foundations and Future of AI in DeFi  Advancements in AI Technologies  The Future of Smart Contracts  Practical Applications and Future Scenarios of AI in DeFi  Next-Gen Algorithmic Asset Management  AI-Driven Predictive Analytics Reimagined  Futuristic Credit Scoring and Lending Platforms  Security, Risk Management, and Ethical AI in the Future of DeFi  The Next Wave of Fraud Detection Solutions  Ethical AI in Future DeFi Security  Personalization, User Experiences, and Advanced NLP in Future DeFi  Hyper-Personalization in Future Financial Experiences  Advanced NLP for Future DeFi Analytics  Regulatory Anticipation, Long-Term Perspectives, and Interdisciplinary Collaboration  Long-Term Trends and Enduring Innovations  Interoperability, Cross-Platform Integration, and AI-Enhanced Governance Models  Sustainable and Green Finance, AI and Inclusive Finance in Emerging Economies

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, AI-Driven Decentralized Finance and the Future of Finance. 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

Mohammad Irfan
NSB Academy Business School, Bangalore, India
drmohdirfan31@gmail.com

Mohammed Elmogy
Mansoura University
melmogy@mans.edu.eg

Swati Gupta
Universal Ai University
prof.swatigdeb@gmail.com

Fahmi Khalifa
Morgan State University
fahmi.khalifa@morgan.edu

Rui Dias
ISG - Business & Economics School – CIGEST, Lisboa, Portugal rui.dias@isg.pt
ESCAD – Instituto Politécnico da Lusofonia, Lisboa, Portugal



Classifications


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