£141.13

Springer Transforming Public Services - Data & Algorithms Book

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Description

Transforming Public Services Combining Data and Algorithms to Fulfil Citizen's Expectations explores how data-driven approaches and algorithmic systems reshape public sector operations to better serve citizens. This volume, published by Springer as part of the Intelligent Systems Reference Library series (volume 252), examines the intersection of artificial intelligence, data analytics, and public administration. The book addresses contemporary challenges in government service delivery, offering insights into how machine learning and computational methods can optimise processes, improve decision-making, and enhance citizen engagement. Ideal for researchers, policymakers, and professionals in computer science, public administration, and digital government, this comprehensive resource combines theoretical foundations with practical applications. It provides essential reading for those seeking to understand how intelligent systems and data-driven strategies transform modern public services to meet evolving citizen expectations and deliver more responsive, efficient governance.

Key Features

Published by Springer as part of the Intelligent Systems Reference Library series (volume 252), ensuring academic credibility and peer-reviewed research quality.

Focuses on combining data analytics and algorithmic systems to improve public sector service delivery and citizen satisfaction.

Covers artificial intelligence applications in government operations, digital transformation, and public administration strategies.

Provides both theoretical frameworks and practical case studies for implementing intelligent systems in public services.

Addresses contemporary challenges in using machine learning and data-driven decision-making within government organisations.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 May 2024
Listed Since
31 January 2024

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