finelybook
Applied Triple Helix (University-Government-Industry) Models for AI Innovation
Author(s): Mohieddine Rahmouni (Editor), Mossab Saud Alholiby (Editor), Ben Othman Soufiane (Editor)
- Publisher finelybook 出版社: Igi Global Scientific Publishing
- Publication Date 出版日期: February 13, 2026
- Language 语言: English
- Print length 页数: 385 pages
- ASIN: B0GNTXCJYW
- ISBN-13: 9798337396903
Book Description
AI innovation is often collaborative, making the triple helix model a critical framework for understanding how AI systems evolve. Universities contribute to foundational research and talent development, governments provide strategy, regulations, and public policies, and industry drives commercialization and real-world application. When these organizations coordinate, they increase the use of AI research in new solutions while aligning technological progress with economic growth and public interest. Examining the triple helix model offers insight into how regions can build resilient, ethical, and competitive AI systems in a changing technological landscape. Applied Triple Helix (University-Government-Industry) Models for AI Innovation explores how coordinated collaboration between universities, government, and industry drives the development, deployment, and governance of AI innovations. It examines the roles, interactions, and policies that enable research application, commercialization, and socially responsible AI outcomes. This book covers topics such as micro-credentials, sustainable development, and value creation, and is a useful resource for business owners, educators, government officials, academicians, researchers, and scientists.
Editorial Reviews
About the Author
Ben Othman Soufiene is an Assistant Professor of computer science at the Applied College, King Faisal University, Saudi Arabia from 2025. He received his Ph.D. degree in computer science from Manouba University in 2016 for his dissertation on “Secure data aggregation in wireless sensor networks. He also holds M.S. degrees from the Monastir University in 2012. My research interests focus on the Internet of Medical Things, Wireless Body Sensor Networks, Wireless Networks, Artificial Intelligence, Machine Learning and Big Data. Dr. Ben Othman has published more than 120 papers at reputed international journals, conferences, and book chapters. He is an Editorial Board Member in the different Journals and Conferences. He serves as an associate editor/academic editor for international journals including IEEE Access, IEEE Sensors, IEEE Internet of Things, Elsevier, Springer, Taylor & Francis, IGI, IET, Telecommunication Computing Electronics and Control, and Wiley. Dr. Ben Othman is a Technical Program Committee Member for more than a dozen of international conferences.
下载地址
PDF, EPUB | 15 MB | 2026-02-18
