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This book presents new trends to optimize e-Government in various
contexts. It aims to highlight new methods and approaches that
unveil the potential of data for public services. The book also
illustrates how public services can be mathematically modeled with
many case studies. Then, algorithms are proposed to optimize their
functioning and to better contribute to the general interest, such
as education, health care, safety, security, or culture. The book
also focuses on protecting citizens' personal data and obtaining
their explicit consent. The book is suitable for students and
academics aiming to build up their background on the usage of data
and algorithms through various techniques, including artificial
intelligence. The book is used as a reference book for teaching a
graduate course on e-Government, Process Modeling, or Artificial
Intelligence. Besides its use in academia, this book is used by
civil servants of every domain and citizens who aim to understand
the ongoing modernization of public services.
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