Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

Research Article

A New Digital Government Construction Based on Attention Mechanism

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  • @INPROCEEDINGS{10.4108/eai.15-12-2023.2345364,
        author={Chao  Wu and Guanqi  He},
        title={A New Digital Government Construction Based on Attention Mechanism},
        proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={PMBDA},
        year={2024},
        month={5},
        keywords={government attention attention mechanisms new digital government bayesian formulation},
        doi={10.4108/eai.15-12-2023.2345364}
    }
    
  • Chao Wu
    Guanqi He
    Year: 2024
    A New Digital Government Construction Based on Attention Mechanism
    PMBDA
    EAI
    DOI: 10.4108/eai.15-12-2023.2345364
Chao Wu1,*, Guanqi He1
  • 1: Zhejiang University
*Contact email: chao.wu@zju.edu.cn

Abstract

The development of big data has had a profound impact on the nature of information, which in turn has changed the processes and patterns of public decision-making. In order to better cope with such changes, information processing needs to be faster and more scientific, leading to smarter decision-making and a "smarter" government. Therefore, the construction of a new digital government needs to pay special attention to the organization and allocation of resources and the way decision-making information is collected. The attention mechanism reveals how intelligences can quickly filter and judge valuable targets in an information overloaded environment, which provides insights for the construction of smart government. In the academic research of public management, the existing discussion mainly focuses on the attention element of administration and policy, and it is necessary for us to further introduce the attention mechanism into the academic exploration and practical activities of decision-making information of digital government.