LASI 2025 – Call for extended abstracts

Introduction 

This edited volume emerges from the LASI Research Summit and brings together cutting-edge research across five thematic domains: sustainable and innovative industries; smart cities, energy, and mobility; health and well-being; infrastructure and connectivity; and public administration and governance. Collectively, these chapters illustrate how artificial intelligence (AI), data science, and intelligent systems are being leveraged to design and implement impactful solutions across a range of sectors, including education, healthcare, urban planning, and policymaking. More than a technical exploration, this book is a call to reimagine the role of digital innovation in advancing the public good. Through real-world case studies, methodological insights, and cross-sectoral collaborations, the volume amplifies the work of LASI researchers and highlights the transformative potential of technology when guided by principles of equity, sustainability, and social responsibility. By fostering cross-disciplinary dialogue and practical knowledge-sharing, this volume aims to support the responsible adoption of AI-powered systems, encourage policy innovation, and strengthen ties between academia, industry, and public institutions. We invite contributions that advance this mission, research that not only pushes technological boundaries but also addresses the complex social and environmental dimensions of the digital age.

Objective

This book aims to serve as a comprehensive, interdisciplinary resource that explores how digital transformation, driven by AI, data science, and intelligent systems, can be harnessed to promote sustainability and social impact. It seeks to bridge technological innovation with societal needs by showcasing applied research, real-world implementations, and conceptual frameworks that inform the development of responsible, scalable, and inclusive digital solutions. While much of the existing literature focuses on the technical capabilities of AI and data-driven systems, this volume emphasizes their application within broader social, environmental, and governance contexts. By doing so, it contributes to an emerging body of research that critically examines the intersection of digital innovation and societal transformation.

Target Audience

The target audience of this book will be composed of professionals, researchers, and practitioners working in the field of digital transformation across a wide range of disciplines, including artificial intelligence, data science, sustainability studies, urban planning, public administration, health informatics, and information systems. It will also appeal to those in applied fields such as education, governance, energy, and mobility, where technology-driven innovation is increasingly central to development and service delivery. Moreover, the book will provide valuable insights for executives, policymakers, and organizational leaders concerned with the strategic implementation of intelligent systems, the ethical management of data and digital infrastructure, and the pursuit of sustainable, inclusive innovation. Whether operating in public institutions, private enterprises, academic settings, or non-governmental organizations, readers will benefit from the book’s interdisciplinary perspective and real-world applications aimed at fostering systemic change through digital technologies.

Recommended Topics

– Intelligent Environments – Context Aware Computing – Agent & Multi-Agent Systems – Mobile Computing – Sentient Computing – AI for Sustainability – Smart Cities and Urban Innovation – Health and Well-being – Infrastructure and Connectivity – Digital Governance and Public Administration – Education and Lifelong Learning – Data Ethics and Responsible Innovation – Cross-sector Collaboration Models – Socio-technical Systems and Community Impact

Submission Procedure

Researchers and practitioners are invited to submit on or before September 10, 2025, 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 September 24, 2025 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by December 3, 2025, 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-anonymized 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, Innovations in Digital Transformation for Sustainability and Social Change. All manuscripts are accepted based on a double-anonymized 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 Scientific Publishing, an international academic publisher of the “Information Science Reference,” “Medical Information Science Reference,” “Business Science Reference,” and “Engineering Science Reference” imprints. IGI Global Scientific Publishing 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 2026.

Important Dates

September 10, 2025: Proposal Submission Deadline (Extended Abstracts)
September 24, 2025: Notification of Acceptance
December 3, 2025: Full Chapter Submission
January 14, 2026: Review Results Returned
February 11, 2026: Final Acceptance Notification
February 18, 2026: Final Chapter Submission

Inquiries 

Regina Sousa
University of Minho
regina.sousa@algoritmi.uminho.pt

Manuel Rodrigues
University of Minho
manuel.rodrigues@algoritmi.uminho.pt

Teresa Sousa
University of Coimbra
tsousa@uc.pt