Thomas W. Sanchez

Networks are essential to mobility - mobility of people, goods, services, communications, and knowledge. The 21st century knowledge economy is dependent upon knowledge mobility and flows. Knowledge networks build upon, but are more complex than, traditional networks. While the network science literature is a starting point, it is not sufficient for modelling or managing knowledge networks. Knowledge networks pay greater attention to nodes as knowledge sources, links as relationships, and the knowledge content of messages. Knowledge Networks describes the role of networks in the knowledge economy, explains network structures and behaviors, walks the reader through the design and setup of knowledge network analyses, and offers a step by step methodology for conducting a knowledge network analysis. Bedford and Sanchez bridge the academic and business perspective of networks. This book illustrates the role of human and non-human actors in these evolving networks, and describes the emerging nature of networks of machines and things. Knowledge Networks is essential reading for business managers, knowledge managers, network analysts, consultants, and researchers in knowledge transfer and translation.

This book aims to introduce planners to AI, outlining essential concepts, terminologies, and methodologies. AI now promises to reshape urban planning, but as with many technological innovations, AI also introduces ethical, practical, and organizational challenges. Understanding both AI’s current capabilities and its limitations is essential for planners, even as we acknowledge the rapid and unpredictable nature of its evolution. Chapters address some of these complexities, not by providing definitive answers, but by introducing urban planners to core AI topics. The book shows how planners can effectively use AI in their daily practices, engage constructively with technical specialists, and critically assess the appropriateness of these technologies in different planning contexts. This book will be of interest to both urban planning professionals and researchers.

This book aims to introduce planners to AI, outlining essential concepts, terminologies, and methodologies. AI now promises to reshape urban planning, but as with many technological innovations, AI also introduces ethical, practical, and organizational challenges. Understanding both AI’s current capabilities and its limitations is essential for planners, even as we acknowledge the rapid and unpredictable nature of its evolution. Chapters address some of these complexities, not by providing definitive answers, but by introducing urban planners to core AI topics. The book shows how planners can effectively use AI in their daily practices, engage constructively with technical specialists, and critically assess the appropriateness of these technologies in different planning contexts. This book will be of interest to both urban planning professionals and researchers.

Communities are changing fast: ethnic minority populations are growing; home ownership is falling; the number of people per household is going up; and salaries are going down. According to Marc Brenman and Thomas W. Sanchez, the planning field is largely unprepared for these fundamental shifts. In "Planning as if People Matter" the authors provide practical solutions to make communities more livable for residents of all races, ages, and income levels. The book addresses topics such as stakeholder participation, disaster response, new technologies, and equity metrics. Unlike many academic treatments, it offers real-world reforms to improve the planning process and promote social justice.