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Social Governance Innovation Based on Big Data: Local Innovation and Governance Efficiency
MENG Tian-guang, WANG Ye
Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition). 2021, 57 (1):
111-123.
DOI: 10.16088/j.issn.1001-6597.2021.01.009
As the digital transformation of the state-society relations is promoted by digital and intelligent technologies through dual mechanisms of technology empowerment and technology empowerment, big data has been increasingly widely used in social governance innovation. Social governance based on big data aims to build a collaborative governance platform between government and society. Based on the empowerment of emerging information technology, it employs rich data resources and advanced analysis technology to digitize and algorithmize the complex and multidimensional social operation so as to grasp the law of social operation; it relies on the interaction between government and citizens to accumulate knowledge and strategies of social governance so as to improve the intelligence of social governance. On the one hand, with a great leap of marketization, urbanization and digitization in China, all sectors of the society have strong recognition and urgent expectations for social governance driven by big data. On the other hand, the application of big data in many aspects of social governance renders it urgent to speed up the building of intelligent social governance system. Big data has been widely used and born great potential in social governance, and become a new driving force for the government and society to promote social governance, improve governance efficiency and governance ability, this paper, based on a survey of cadres and the folks all over China, tells; in addition, in big data innovation in social governance, its application in public transportation, social security, government services, health care and so on works best as the internal connection of data can be found, and one-size-fits-all approach in social governance avoided; the policy-making can be precise so as to provide more personalized social governance. By collecting a large amount of data, the public's preference for various policies can be learned and the specific evaluation of the public on the implementation of policies obtained. Even so, there liesome challenges, such as difficulty in data opening and sharing, lack of top-level design, conflicts of interest between departments, and uneasy accessibility. On that account comes some suggestions: 1) promoted by leading officials' overall promotion and supported by corresponding mechanisms; 2) strengthen government leadership and coordinate the participation of government, enterprises and social groups; 3) coordinate in a unified way by specialized agencies and strengthen the response to assist decision-making; 4) adhere to the “thepeople-centered” approach and let the data serve the public.
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