Transforming Public Services—Combining Data and Algorithms to Fulfil Citizen’s Expectations

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Transforming Public Services—Combining Data and Algorithms to Fulfil Citizen’s Expectations is written by Christophe Gaie and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3031555759 (ISBN 10) and 9783031555756 (ISBN 13).

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.