Innovation, Transparency, and Participation in Smart Government
ISBN 13: 9798337355368
Editorial: IGI Global, 2025
Nuevos
PAP
Librería:
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Calificación del vendedor: 5 de 5 estrellas
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Descripción
Descripción:
New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de ref. del artículo L0-9798337355368
Sinopsis:
The rise of digital technologies reshapes public administration, giving rise to smart government, a governance model that leverages data, connectivity, and innovation to enhance the efficiency, responsiveness, and accountability of public services. Central to this are innovation, transparency, and citizen participation. Innovation drives the adoption of tools such as artificial intelligence (AI), blockchain, and Internet of Things (IoT) to streamline operations and deliver smarter services. Transparency ensures government processes and decisions are open, data-driven, and accessible. Participation empowers citizens to help create policies and engage in decision-making through digital platforms, ensuring governance is inclusive and aligned with public needs. Together, these elements may form a smart government that is technologically advanced while democratic, ethical, and citizen-centric. Innovation, Transparency, and Participation in Smart Government addresses the intersection between digital transformation in the public sector and the implementation of emerging technologies that optimize urban management and improve quality of life. It examines innovations that redefine governance, highlighting challenges and opportunities in the implementation of these systems. This book covers topics such as digital technology, smart grids, and data science, and is a useful resource for policymakers, government officials, engineers, academicians, researchers, and scientists.
Acerca de los autores:
Dr. Ruiz-Vanoye is a Professor and Researcher at Universidad Politécnica de Pachuca (UPP), a National Researcher under the CONAHCYT program, and an Adjunct Researcher at the National Laboratory of Autonomous Vehicles and Exoskeletons (LANAVEX). Additionally, he holds the title of Lecturer-level Researcher for the Agency for the Quality of the University System of Catalonia (Generalitat de Catalunya). His research interests include Smart Cities, Smart Water, Smart Education, Smart Government, Smart Healthcare, Smart Farming, Smart Energy, Smart Sports, Smart Food, Smart Tourism, Algorithmic Finance, Algorithmic Portfolio Management, Applications and Theory of Algorithms, Bio-inspired Algorithms, Combinatorial Optimization Problems, Compilers, Computational Intelligence, Computational Complexity Theory, Computational Financial Intelligence, Complexity of Algorithms, Complexity of Instances, Computational Statistics, Computer Networks, Computer Science Security, Cybercrimes, Data Mining, Education, Evolutionary Computation, Heuristic Optimization Techniques in Bioinformatics, Hybrid Evolutionary Algorithms, Hybrid Optimization Algorithms, Machine Learning, Meta-heuristics, Operations Research, Operations Management, Parallel & Distributed Computing, Production Planning and Logistics Optimization, Project Scheduling Problems, Software Engineering, and Transgenic Algorithms.
Dra. Diaz-Parra is a Professor and Researcher at Universidad Politécnica de Pachuca (UPP), a National Researcher under the CONAHCYT program, and an Adjunct Researcher at the National Laboratory of Autonomous Vehicles and Exoskeletons (LANAVEX). His research interests include Smart Cities, Smart Water, Smart Education, Smart Government, Smart Healthcare, Smart Farming, Smart Energy, Smart Sports, Smart Food, Smart Tourism, Algorithmic Finance, Algorithmic Portfolio Management, Applications and Theory of Algorithms, Bio-inspired Algorithms, Combinatorial Optimization Problems, Compilers, Computational Intelligence, Computational Complexity Theory, Computational Financial Intelligence, Complexity of Algorithms, Complexity of Instances, Computational Statistics, Computer Networks, Computer Science Security, Cybercrimes, Data Mining, Education, Evolutionary Computation, Heuristic Optimization Techniques in Bioinformatics, Hybrid Evolutionary Algorithms, Hybrid Optimization Algorithms, Machine Learning, Meta-heuristics, Operations Research, Operations Management, Parallel & Distributed Computing, Production Planning and Logistics Optimization, Project Scheduling Problems, Software Engineering, and Transgenic Algorithms.
Dr. Eric Simancas Acevedo is Full Research Professor at the Polytechnic University of Pachuca (UPP), where he teaches in the Master's Degree in Information and Communication Technologies, as well as in Telematics and Software Engineering.
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Detalles bibliográficos
Título: Innovation, Transparency, and Participation ...
Editorial: IGI Global
Año de publicación: 2025
Encuadernación: PAP
Condición: New