Weaving the World with Digitalization and AI
This book presents recent research and practice advances in the field of Service Science. It contains selected papers from the 2026 INFORMS International Conference on Service Science, held in Hangzhou, China from May 30 to June1, 2026. This book brings together a rich tapestry of theoretical insights, empirical investigations, and practical applications that reflect the dynamic interplay between intelligent technologies and sustainable service systems. It explores how AI and data are reshaping the foundations of modern society, with a particular focus on sustainability. It presents a wide range of topics, from the development of AI-driven smart cities and the transformation of traditional industries, to the ethical and governance challenges posed by intelligent systems.It also examines the role of AI in public health, the digital economy, and human-AI collaboration, while highlighting emerging frontiers such as quantum computing and data-driven decision-making.
Xiaolei Xie is an Associate Professor in the Department of Industrial Engineering, Tsinghua University, China. His research focuses on the intersection of data science, operations research, simulation, and healthcare management. He has published over 30 international academic papers, with some of his work highlighted by academic organizations as outstanding contributions and selected as best papers of the year. He has received the Tsinghua University Outstanding Performance Award and the Annual Teaching Excellence Award.
Haomiao Zhou is a Professor at China Jiliang University (CJLU), China. He is the Dean of College of Information Engineering. He also serves as the Director of the Zhejiang Provincial Key Laboratory of Electromagnetic Wave Information Technology and Metrology and Testing, and Director of the Zhejiang Provincial Joint Laboratory of Visual Intelligence Metrology. His research interests lie in the interdisciplinary areas of information and electronic metrology, magnetoelectric intelligent systems, and spintronics and electronic devices. With over 110 academic papers published in international journals, his work has been recognized with awards, including the Second Prize for Scientific and Technological Progress from the Ministry of Education of China and the First Prize for Invention and Entrepreneurship Achievement from the China Association of Inventions.
Weiwei Chen is a Professor at Rutgers University, USA. His research interests lie in operations and finance interface, as well as supply chain operations planning and scheduling. He also works on simulation and randomized global optimization methodologies. He has extensive experience working with businesses and the public sector, especially in energy and healthcare, to improve strategic decisions and operational efficiency using data analytics.
Robin Qiu is a full Professor of Information Science at Pennsylvania State University, USA. He teaches a variety of information and computing science courses, including predictive analytics, management science, business process management, decision support systems, project management, and enterprise integration.