大数据与重大公共决策风险治理
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C934;D035

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国家社会科学基金国家治理重大专项(17VZL021)


Big Data and Risk Governance of Major Public DecisionMaking
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    摘要:

    重大公共决策风险既包括决策本身的风险,也包括决策失误给政治、经济、社会、文化、生态、道德、技术与安全等领域带来的风险,其中以社会风险居多,尤其是决策失误引发的社会稳定、社会矛盾、环境破坏风险更为突出。这些风险冲突性强、破坏性大,要有效治理,亟需引入大数据思维和技术来实现治理主体的多元化、治理内容的专业化、治理方法的科学化和治理手段的民主化。事实上,由于大数据能够驱动重大公共决策风险精准识别、科学预测、精确监控、专业评估与有效处理,因而用大数据来治理重大公共事务决策风险,可以减少决策失误、提升决策质量和降低决策风险。为应用大数据对重大公共决策风险进行有效治理,应在基于大数据分析的基础上,明确决策风险精准识别方法,构建决策风险科学预测路径,建设决策风险精确监控平台,培育决策风险专业评估体系,理顺决策风险有效处理思路。 

    Abstract:

    Major public decision-making risks include both the risk of decision-making itself and the risk that decision-making mistakes bring to the political, economic, social, cultural,ecological,moral,technological and security fields. These risks are more conflicting and destructive. To effectively govern these risks, it is urgent to introduce big data thinking and technology to realize the diversification of governance subject, the specialization of governance content, the scientific method of governance and the democratization of governance means. In fact, because big data can drive the accurate identification, scientific prediction, accurate monitoring, professional evaluation and effective handling of major public decisionmaking risks, big data can be used to manage the decisionmaking risks of major public affairs, which can make the governance subject more diversified, content more specialized, method more scientific and means more democratic. In order to apply big data to the effective management of major public decisionmaking risk, on the basis of big data analysis, we should make clear the accurate identification method of decisionmaking risk, construct scientific prediction path and accurate monitoring platform, cultivate professional evaluation system, and rationalize the ideas of effective treatment of decisionmaking risk.

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谢治菊.大数据与重大公共决策风险治理[J].河海大学学报(哲学社会科学版),2019,21(5):82-90.(XIE Zhiju. Big Data and Risk Governance of Major Public DecisionMaking[J]. Journal of Hohai University (Philosophy and Socail Sciences),2019,21(5):82-90.(in Chinese))

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  • 在线发布日期: 2019-10-31
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