大数据时代理论供给:现实困境、战略对策与有效治理
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D610

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安徽省高校人文社会科学重点研究基地"安徽大学科学发展观研究中心"招标项目"中国梦视域中的习近平世界责任思想研究"(SK2016A0471);安徽省哲学社会科学规划后期资助项目"中国马克思主义理论创新范式研究"(AHSKHQ2016D03)


Theoretical supply in the big data age: Realistic dilemma, strategic countermeasure and effective governance
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    摘要:

    大数据时代理论供给是指借助大数据信息与技术,把人民需要的科学理论快速有效输送到人民的理论需求端。大数据时代,理论主体层次不齐、现实问题层出不穷、供给渠道纵横交错、供给体系缺乏统一等造成一定程度的理论供给现实困境。运用大数据思维与技术,准确把握理论需求信息、着力打造理论供给侧和全面创新理论传输媒介系统是构建大数据时代理论供给的战略对策。实现大数据时代理论供给的有效治理,关键要坚持以人民为中心的治理理念,坚持依法治理的战略选择,坚持价值治理和技术治理有机统一的原则。

    Abstract:

    Theoretical supply in the big data era refers to delivering scientific theories quickly and effectively to people with the aid of big data information and technology. In the big data era, theoretical supply subjects are of different levels, realistic problems are in an endless stream, supply channels are crisscrossing, supply systems are lack of unity, and these result in a certain degree of realistic dilemma. Based on big data thinking and technology, grasping accurately the information of theoretical demands, striving to create a theoretical supply side and innovating theoretical transmission media system comprehensively are strategic countermeasures to build theoretical supply in the big data era. To realize the effective governance of theoretical supply in the big data era, the keys are to adhere to people-centered management concept, adhere to the strategic choice of governing according to law, and adhere to the principle of organic unity of value management and technical management.

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储著源.大数据时代理论供给:现实困境、战略对策与有效治理[J].重庆大学学报社会科学版,2019,25(1):107-117. DOI:10.11835/j. issn.1008-5831.2019.01.007

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  • 最后修改日期:2018-01-04
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  • 在线发布日期: 2019-01-08
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