Transforming Public Services—Combining Data and Algorithms to Fulfil Citizen’s Expectations
Series: Intelligent Systems Reference Library; 252;
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Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 6 May 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783031555770
- Binding Paperback
- See also 9783031555749
- No. of pages239 pages
- Size 235x155 mm
- Language English
- Illustrations VIII, 239 p. 69 illus., 39 illus. in color. Illustrations, black & white 659
Categories
Long description:
This book provides a precise portrayal of the current trends and future perspectives of e-Government. It outlines new approaches that optimize public services across diverse sectors. Going beyond traditional boundaries, it offers mathematical models for public services supported by convincing case studies. This book significantly enhances various government services, such as education, healthcare, safety, security, and culture. It also strongly emphasizes safeguarding citizens' personal data, ensuring privacy, and obtaining explicit consent.
Tailored for students and academics, the book is an invaluable reference for teaching graduate courses in e-Government, Process Modelling, or Artificial Intelligence. Its impact extends beyond the classroom; civil servants from all domains can find practical insights to navigate the ongoing modernization of public services. Even citizens curious about the transformation in their public services can find this book enlightening. Researchers working in the area of e-Governance can use this book to discover the recent developments in e-Government.
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Table of Contents:
Digital Transformation of public services: Introduction, Current Trends and Future.- Enhancing Citizen Satisfaction Using Citizen-Facing Process Mining.- Thinking inside the Sandbox: Beyond public services digitalization with co-production.- Thinking inside the Sandbox: Beyond public services digitalization with co-production.- Usage of Modern API for automization of Government procedures.- Epidemiology inspired Cybersecurity Threats Forecasting Models applied to e-Government.- The provision of e-services by public administration bodies and their cybersecurity.- The provision of e-services by public administration bodies and their cybersecurity.- Fuzzy Logic Architecture for Availing the E-Governance Health Care Services by Rural Citizens.- Enhancing the efficiency and the security of e-Government: the French case study of human resources applications.
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