5. Learning and Data in Smart Cities

This chapter explores the learning dimension of seeing through smart cities along with other aspects of technology-driven learning in smart environments. As such, the notion of learning cities is explored from perspectives that take into consideration people and their meaningful participation in addressing contemporary urban issues for solution-making. This review of the literature enables formulation and operationalization of a conceptual framework for learning and data in smart cities for use in this chapter. An exploratory case study approach provides the methodology for this chapter combined with an explanatory correlational design. Using community participation as a proxy for learning, challenges and opportunities are explored in smart cities and learning cities generally and in relation to data and issues of privacy, security, and trust in smart environments. Insights for success in smart cities associated with learning emerge in this chapter in relation to findings pertaining to the generation of urban knowledge and implications for practice and research agendas.