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Recent Advances in Data and Algorithms for e-Government

Author: Christophe Gaie

Publisher: Springer Nature

Published: 2023-03-01

Total Pages: 244

ISBN-13: 3031224086

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.

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

Author: Christophe Gaie

Publisher: Springer Nature

Published:

Total Pages: 247

ISBN-13: 3031555759

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Introduction to Algorithmic Government

Author: Rajan Gupta

Publisher: Springer Nature

Published: 2021-03-22

Total Pages: 199

ISBN-13: 9811602824

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The world is changing at a fast pace, so is the Government and Governance style. Humans are bound to go for Algorithmic strategies rather than manual or electronic ones in different domains. This book introduces the Algorithmic Government or Government by Algorithm, which refers to authorizing machines in the Public Sector for automated decision-making based on Artificial Intelligence, Data Science, and other technologies. It is an emerging concept introduced globally and will be considered revolutionary in the future. The book covers concepts, applications, progress status, and potential use-cases of Algorithmic Government. This book serves as introductory material for the readers from technology, public policy, administration, and management fields.

Emerging Developments and Technologies in Digital Government

Author: Guo, Yuanyuan

Publisher: IGI Global

Published: 2024-04-15

Total Pages: 443

ISBN-13:

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As the digital government field continues to evolve rapidly, scholars and professionals must stay ahead of the curve by developing innovative solutions and gaining comprehensive insights. The global landscape of digital governance is undergoing transformative shifts, necessitating a deep understanding of historical developments, current practices, and emerging trends. This urgent demand for knowledge forms the crux of the problem that the book, Emerging Developments and Technologies in Digital Government, addresses with expert knowledge and insights. The book serves as an indispensable resource for academic scholars grappling with the complexities of digital government. It critically examines historical transitions from technology-centric paradigms to people-centric models, shedding light on the global impact of open data initiatives and the vital role of human-computer interaction in reshaping government websites. For professionals and researchers across disciplines such as library sciences, administrative management, sociology, and information technology, this book becomes a beacon, offering insights and tangible solutions to navigate the multifaceted dimensions of digital government.

Advances in Digital Government

Author: William J. McIver Jr.

Publisher: Springer Science & Business Media

Published: 2008-01-20

Total Pages: 338

ISBN-13: 0306473747

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Advances In Digital Government presents a collection of in-depth articles that addresses a representative cross-section of the matrix of issues involved in implementing digital government systems. These articles constitute a survey of both the technical and policy dimensions related to the design, planning and deployment of digital government systems. The research and development projects within the technical dimension represent a wide range of governmental functions, including the provisioning of health and human services, management of energy information, multi-agency integration, and criminal justice applications. The technical issues dealt with in these projects include database and ontology integration, distributed architectures, scalability, and security and privacy. The human factors research emphasizes compliance with access standards for the disabled and the policy articles contain both conceptual models for developing digital government systems as well as real management experiences and results in deploying them. Advances In Digital Government presents digital government issues from the perspectives of different communities and societies. This geographic and social diversity illuminates a unique array of policy and social perspectives, exposing practitioners to new and useful ways of thinking about digital government.

Machine Learning and Data Science Techniques for Effective Government Service Delivery

Author: Ogunleye, Olalekan Samuel

Publisher: IGI Global

Published: 2024-03-27

Total Pages: 358

ISBN-13: 1668497182

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In our data-rich era, extracting meaningful insights from the vast amount of information has become a crucial challenge, especially in government service delivery where informed decisions are paramount. Traditional approaches struggle with the enormity of data, highlighting the need for a new approach that integrates data science and machine learning. The book, Machine Learning and Data Science Techniques for Effective Government Service Delivery, becomes a vital resource in this transformation, offering a deep understanding of these technologies and their applications. Within the complex landscape of modern governance, this book stands as a solution-oriented guide. Recognizing data's value in the 21st century, it navigates the world of data science and machine learning, enhancing the mechanics of government service. By addressing citizens' evolving needs, these advanced methods counter inefficiencies in traditional systems. Tailored for experts across technology, academia, and government, the book bridges theory and practicality. Covering foundational concepts and innovative applications, it explores the potential of data-driven decision-making for a more efficient and citizen-centric government future.

Human-Computer Interaction in Various Application Domains

Author: Constantine Stephanidis

Publisher: CRC Press

Published: 2024-08-23

Total Pages: 526

ISBN-13: 1040087825

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Human-Computer Interaction (HCI) is a multidisciplinary research and applied field targeted to studying people interacting with information technology and designing usable and efficient systems for them. This book outlines the state‐of‐the‐art of HCI research in the respective domain such as health, games, transportation, industry, and entertainment. This book Bridges the gap between theory and practice by presenting how to apply HCI methods and tools in specific domains. Offers concrete examples of HCI use in real-world situations. Presents case-specific best practices, tips, and tricks. Includes chapters that are well-studied and purposefully selected, representing important theoretical, practical, and research areas in HCI. Includes domains ranging from the roots and the classic approaches of human-computer interaction to contemporary advancements. This book is a fascinating read for individuals interested in Human-Computer Interaction research and applications.

AI, IoT, and Blockchain Breakthroughs in E-Governance

Author: Kavita Saini

Publisher:

Published: 2023

Total Pages: 0

ISBN-13: 9781668477014

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There is now a plethora of internet of things (IoT) devices on the market that can connect to the internet and the desired environment to produce sufficient and reliable data that is required by the government administration for a variety of purposes. Additionally, the potential benefits of incorporating artificial intelligence (AI) and machine learning into governance are numerous. Governments can use AI and machine learning to enforce the law, detect fraud, and monitor urban areas by identifying problems before they occur. The government can also use AI to easily automate processes and replace mundane and repetitive tasks. AI, IoT, and Blockchain Breakthroughs in E-Governance defines and emphasizes various AI algorithms as well as new internet of things and blockchain breakthroughs in the field of e-governance. Covering key topics such as machine learning, government, and artificial intelligence, this premier reference source is ideal for government officials, policymakers, researchers, academicians, practitioners, scholars, instructors, and students.

Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management

Author: Kumar, Rajeev

Publisher: IGI Global

Published: 2023-09-25

Total Pages: 421

ISBN-13: 1668491532

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Emerging technologies have become both crucibles and showrooms for the practical application of artificial intelligence, the internet of things, and cloud computing, and for integrating big data into everyday life. Is the digital world optimized and sustainable using intelligence systems, machine learning, and cyber security methods? This complex concoction of challenges requires new thinking of the synergistic utilization of intelligence systems, machine learning, deep learning and blockchain methods, data-driven decision-making with automation infrastructure, autonomous transportation, and connected buildings. Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management provides a global perspective on current and future trends concerning the integration of intelligent systems with cybersecurity applications, including recent advances and challenges related to the concerns of security and privacy issues in deep learning with an emphasis on the current state-of-the-art methods, methodologies and implementation, attacks, and countermeasures. The book also discusses the challenges that need to be addressed for implementing DL-based security mechanisms that should have the capability of collecting or distributing data across several applications. Topics covered include skill development and tools for intelligence systems, deep learning, machine learning, blockchain, IoT, cloud computing, data ethics, and infrastructure. It is ideal for independent researchers, research scholars, scientists, libraries, industry experts, academic students, business associations, communication and marketing agencies, entrepreneurs, and all potential audiences with a specific interest in these topics.

Transforming Public Services – Combining Data and Algorithms to Fulfil Citizen's Expectations

Author: Christophe Gaie

Publisher: Springer

Published: 2024-05-20

Total Pages: 0

ISBN-13: 9783031555749

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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.