Public security governance under Big Data: adaptive dilemmas and strategies
Abstract
With the rapid development of big data technology, public security governance is facing new challenges and opportunities.
Through the case analysis of A city, this paper discusses the main dilemmas of public security governance in the context of big data, and
puts forward four strategy suggestions: data integration and standardization, strengthening data privacy and security, promoting cross_x005fdepartmental collaboration, and optimizing data-driven decision-making mechanism to provide a framework for improving governance
effi ciency and eff ectiveness.
Through the case analysis of A city, this paper discusses the main dilemmas of public security governance in the context of big data, and
puts forward four strategy suggestions: data integration and standardization, strengthening data privacy and security, promoting cross_x005fdepartmental collaboration, and optimizing data-driven decision-making mechanism to provide a framework for improving governance
effi ciency and eff ectiveness.
Keywords
Big data; Public security governance; Adaptability; Governance dilemmas
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DOI: https://doi.org/10.18686/esta.v10i4.637
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