Call for Book Chapters |
Unleashing User Innovation: Multidisciplinary Perspectives on End-User Development and Generative AI



We are thrilled to announce the launch of our new upcoming book titled "Unleashing User Innovation: Multidisciplinary Perspectives on End-User Development and Generative AI." to be published by Taylor & Francis.

We cordially invite researchers, academics, professionals, and industry experts to contribute their chapter(s) to this book.

This book aims to explore the rapidly evolving landscape of End-User Development (EUD) and its intersection with Generative Artificial Intelligence (Gen AI) technologies. We seek contributions from researchers and practitioners, in the field who can share their valuable insights, research findings, and experiences in this area.

The main goal of this book is to examine new and innovative approaches in the field of EUD and Gen AI. It takes a comprehensive approach to examine various theories, tools, models, and frameworks utilized in different contexts within various application domains/disciplines. The aim is not only to showcase various techniques but also to illuminate how they can be effective in their diverse contexts, e.g., coding, academic writing, summarization, to mention but a few. By delving deeply into these various and diverse experiences, the book is expected to offer a rich collection of insights that can inspire researchers and knowledge seekers in EUD and Gen AI.




We are particularly interested in chapters that explore the latest trends, challenges, and opportunities in EUD and generative AI. Whether you are a seasoned researcher, a practitioner, a Ph.D. scholar, industry expert, or an aspiring researcher, we invite you to share your unique perspectives and insights.

Your contribution can fall under the following topics:


All submissions will be peer-reviewed, and the accepted chapters will be published in the book. This is an excellent opportunity to contribute to the ongoing discourse on EUD and generative AI and showcase your expertise. We look forward to receiving your submissions and thank you in advance for your interest.

Chapters should succinctly capture the essence of your proposed chapter, aligning with one of the listed topics. Please ensure that your work is original, unpublished, and not under consideration elsewhere. Submissions should be well-researched, evidence-based, and contribute to the existing body of knowledge in the field. We welcome both theoretical and empirical contributions, as well as case studies and practical applications.

Full papers can be submitted here.

A chapter template can be found here.

Data availability statement templates can be found here.

Full Chapter guidelines for submission can be found here.



For inquiries, please contact Dr. Kuhail