Learning the City: Translocal Assemblage and Urban Politics critically examines the relationship between knowledge, learning, and urban politics, arguing both for the centrality of learning for political strategies and developing a progressive international urbanism. Presents a distinct approach to conceptualising the city through the lens of urban learning Integrates fieldwork conducted in Mumbai's informal settlements with debates on urban policy, political economy, and development Considers how knowledge and learning are conceived and created in cities Addresses the way knowledge travels and opportunities for learning about urbanism between North and South

This book explores a cultural understanding of cities and processes of civic learning by scrutinizing urban educational topics from a cultural studies perspective. This book approaches the city as a cultural fabric that consists of social, material and symbolic dimensions, and describes how civic learning is not an accidental outcome of cities but an essential component through which citizens coproduce the city. Through a combination of theoretical development and methodological reflection the chapters in the book explore three interrelated questions addressing the relationships between culture, learning and the city: How does civic learning appear in urban spaces? How does civic learning take place through urban spaces? How are urban spaces created as a result of civic learning?

This book proposes an alternative strategy to improve and sustain prosperity, through the creation of an entrepreneurial culture in learning cities or city regions. The edited collection provides insights into how entrepreneurship, education, job creation and social inclusion can be aligned through entrepreneurial learning, in the context of territorial development. With rich and varied contributions from a wide field, including policy makers, entrepreneurs, an investment banker, leaders of universities and councils, the voluntary sector, scientists, educators and students, it reviews and assesses how learning cities and regions may become more prosperous by investing in the development of entrepreneurial skills throughout lifelong learning. Reinforced by examples on developing and retaining entrepreneurial people, this book contributes to our understanding of how entrepreneurial learning can be fostered in different city and city-region contexts. It makes an interesting contribution to the field in terms of mapping out complex issues and testing the practical validity of the concept, while also providing rich and insightful case studies centred on the Welsh experience with entrepreneurial learning city regions. The high quality international contributions demonstrate the new worldwide interest in developing an entrepreneurial culture for the benefit of a city or region, rather than an entrepreneurial mind-set for individual benefit. This fascinating subject will be of interest to many social scientists, policymakers, and practitioners. It will be found especially valuable for professionals involved in economic, inclusive and sustainable city or regional development.

The voices that are represented in this book offer differing perspectives on ways to support inner-city children and families. Each essay offers a unique contribution to our understanding of the interdependence of the people in these communities, yet all share the common message that inner-city children and families have strengths that can be built on to maximize their positive outcomes. This book is especially relevant to teachers who work with children and families with challenges.

Artificial Intelligence and Machine Learning in Smart City Planning shows the reader practical applications of AIML techniques and describes recent advancements in this area in various sectors. Owing to the multidisciplinary nature, this book primarily focuses on the concepts of AIML and its methodologies such as evolutionary techniques, neural networks, machine learning, deep learning, block chain technology, big data analytics, and image processing in the context of smart cities. The text also discusses possible solutions to different challenges posed by smart cities by presenting cutting edge AIML techniques using different methodologies, as well as future directions for those same techniques. Reviews the smart city concept and teaches how it can contribute to achieving urban development priorities Explains soft computing techniques for smart city applications Describes how to model problems for effective analysis, intelligent decision making, and optimal operation and control in the smart city paradigm Teaches how to carry out independent projects using soft computing techniques in a vast range of areas in diverse fields like engineering, management, and sciences

This book discusses the application of different machine learning techniques to the sub-concepts of smart cities such as smart energy, transportation, waste management, health, infrastructure, etc. The focus of this book is to come up with innovative solutions in the above-mentioned issues with the purpose of alleviating the pressing needs of human society. This book includes content with practical examples which are easy to understand for readers. It also covers a multi-disciplinary field and, consequently, it benefits a wide readership including academics, researchers, and practitioners.

Machine Learning and the City Explore the applications of machine learning and artificial intelligence to the built environment Machine Learning and the City: Applications in Architecture and Urban Design delivers a robust exploration of machine learning (ML) and artificial intelligence (AI) in the context of the built environment. Relevant contributions from leading scholars in their respective fields describe the ideas and techniques that underpin ML and AI, how to begin using ML and AI in urban design, and the likely impact of ML and AI on the future of city design and planning. Each section couples theoretical and technical chapters, authoritative references, and concrete examples and projects that illustrate the efficacy and power of machine learning in urban design. The book also includes: An introduction to the probabilistic logic that underpins machine learning Comprehensive explorations of the applications of machine learning and artificial intelligence to urban environments Practical discussions of the consequences of applied machine learning and the future of urban design Perfect for designers approaching machine learning and AI for the first time, Machine Learning and the City: Applications in Architecture and Urban Design will also earn a place in the libraries of urban planners and engineers involved in urban design.