Implementing Data-Driven Strategies in Smart Cities: A Roadmap for Urban Transformation (Smart Cities Series) - Softcover

Grimaldi, Didier; Carrasco-Farré, Carlos

 
9780128211229: Implementing Data-Driven Strategies in Smart Cities: A Roadmap for Urban Transformation (Smart Cities Series)
Softcover
ISBN 10: 0128211229 ISBN 13: 9780128211229
Verlag: Elsevier Science, 2021

Inhaltsangabe

Implementing Data-Driven Strategies in Smart Cities is a guidebook and roadmap for practitioners seeking to operationalize data-driven urban interventions. The book opens by exploring the revolution that big data, data science, and the Internet of Things are making feasible for the city. It explores alternate topologies, typologies, and approaches to operationalize data science in cities, drawn from global examples including top-down, bottom-up, greenfield, brownfield, issue-based, and data-driven. It channels and expands on the classic data science model for data-driven urban interventions – data capture, data quality, cleansing and curation, data analysis, visualization and modeling, and data governance, privacy, and confidentiality. Throughout, illustrative case studies demonstrate successes realized in such diverse cities as Barcelona, Cologne, Manila, Miami, New York, Nancy, Nice, São Paulo, Seoul, Singapore, Stockholm, and Zurich. Given the heavy emphasis on global case studies, this work is particularly suitable for any urban manager, policymaker, or practitioner responsible for delivering technological services for the public sector from sectors as diverse as energy, transportation, pollution, and waste management.

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Über die Autorinnen und Autoren

Didier Grimaldi, PhD is Associate Professor at the La Salle–Ramon Llull University, Barcelona, Spain. His scholarly interests span novel forms of innovation to develop new or existing businesses by analyzing different models of public-private governance, which offer a more active role to the citizens. Dr. Grimaldi’s research focuses on evaluating the real effect of emerging technologies (big data, Internet of Things, drones, social media, etc.) to promote new services for citizens that improve their quality of life.

Carlos Carrasco-Farré in the Department of Operations, Innovation and Data Science at ESADE Business School, Barcelona, Spain. His research interest is in human-machine interactions and decision-making. More specifically, his research focuses in computational social science, the intersection of technology (artificial intelligence, machine learning, data science) and society (management, decision-making and strategy). He has contributed to various academic and nonacademic publications and books on economics, management, and urban strategy.

Von der hinteren Coverseite

Implementing Data-Driven Strategies in Smart Cities is a guidebook and roadmap for practitioners seeking to operationalize data-driven urban interventions. The book opens by exploring the revolution that big data, data science and the Internet of Things are making feasible for the city. It explores alternate topologies, typologies and approaches to operationalize data science in cities, drawn from global examples, including top-down, bottom-up, greenfield, brownfield, issue-based, and data-driven. It channels and expands on the classic data science model for data-driven interventions in a city - data capture, data quality, cleansing and curation, data analysis, visualization and modeling, and data governance, privacy and confidentiality. Throughout, illustrative case studies demonstrate successes realized in such diverse cities as Helsinki, Nice, Tartu, San Cugat, Singapore, Sao Paolo, Bilbao, and Goyang City. Given the heavy emphasis on global case studies, this work is particularly suitable for any urban manager, policymaker, or practitioner responsible for delivering technological services for the public sector from sectors as diverse as energy, transport, pollution, and waste management.

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Verlag
Elsevier Science
Erscheinungsdatum
2021
Sprache
Englisch
ISBN 10 
0128211229
ISBN 13 
9780128211229
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
254
Kontakt zum Hersteller
ELSEVIER
https://www.elsevier.com/es-es

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