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研究总结新冠肺炎疫情中我国科技智库的工作经验有利于进一步推进我国高水平科技智库建设,推进国家治理体系和治理能力现代化。介绍新冠肺炎疫情发生以来我国相关科技智库在疫情防控、复工复产和国际合作交流等方面作出的突出贡献,着重分析科技智库在决策咨询、应急管理、检测诊断和临床救治等方面所做的工作。分析科技智库的发展态势,剖析我国科技智库建设中存在的问题,围绕科技智库机制体制、前瞻性战略咨询研究、跨学科人才教育和培养、国际交流与合作等方面提出科技智库进一步发展的对策建议。 相似文献
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正在我国新冠肺炎疫情防控工作取得阶段性成效的形势下,企业复工复产也取得积极进展,多省的规上企业复工率超过70%。在推动企业复工复产的过程中,各"双创"示范基地发挥了良好的示范带动作用。区域类示范基地较早、较大力度地出台了推动企业复工复产的相关政策;企业类示范基地搭建平台、提供渠道、共享员工,助 相似文献
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有序推进复工复产是降低新冠疫情影响的重要着力点,也是社会经济稳定发展的重要保障。然而,目前文献对复工复产背后多重因素间的复杂机理尚未开展深入研究。本文基于TOE框架,探究技术、组织和环境因素对地方政府复工复产的联动匹配效应。运用模糊集定性比较分析（fsQCA）方法,以我国29个省级政府为案例进行组态分析,研究结果表明：（1）技术、组织和环境条件“多重并发”,形成驱动复工复产的五种组态,即复工复产的驱动路径具有“殊途同归”的特点;（2）相对其他条件而言,数字化基础设施对政府复工复产起到更为重要的作用;（3）在一定情形下,技术、组织与环境条件之间具有替代关系;（4）数字化管理能力、注意力分配和财政资源支持等条件的缺失是造成政府非高水平复工复产率的主要原因。研究丰富了复工复产的研究视角,有助于政府根据各自的资源禀赋和受疫情影响等具体情况,选择合理的复工复产路径,制定精准的复工复产政策,从而避免政策覆盖面广、“一刀切”等问题,找到政策落实的“共赢点”。 相似文献
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科技智库是中国特色新型智库的重要组成部分,其核心价值在于发挥科学研究方面的专业优势,为党和政府科学决策提供重要依据。文章对智库理论和马克思主义智库观进行了概述,分析了新时代中国特色新型智库建设的新形势,阐释了中国特色新型智库“特”“新”“智”的三大特点,并从系统工程、总体设计部、科学传播等角度论述中国特色新型科技智库建设的理论基础、组织架构和运行机制。最后,提出了中国特色新型科技智库更好地开展科技战略咨询的3点建议:凸显使命,提升科技战略咨询地位;强化保障,夯实科技战略咨询条件;加强传播,发挥科技战略咨询效能。 相似文献
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受突发的新型冠状病毒感染的肺炎疫情影响,复产复工企业消防安全形势发生了变化,从社会常态化疫情防控管理、到长假归来员工状态,再到防疫措施等等均带来新的火灾风险,衍生出新的消防安全问题,均从不同程度上影响着企业消防安全管理工作,各类火灾风险交织叠加,长期以往,极有可能直接或间接引发火灾事故,探索一套符合复产复工企业实际情况的应对策略,从企业疫情防控措施、员工管理教育、设施设备维护、火灾应急预案演练等多个方面着手,确保疫情期间复产复工企业消防安全形势稳定。 相似文献
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Various technology innovations and applications have been developed to fight the coronavirus pandemic. The pandemic also has implications for the design, development, and use of technologies. There is an urgent need for a greater understanding of what roles information systems and technology researchers can play in this global pandemic. This paper examines emerging technologies used to mitigate the threats of COVID-19 and relevant challenges related to technology design, development, and use. It also provides insights and suggestions into how information systems and technology scholars can help fight the COVID-19 pandemic. This paper helps promote future research and technology development to produce better solutions for tackling the COVID-19 pandemic and future pandemics. 相似文献
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Political polarization remains perhaps the “greatest barrier” to effective COVID-19 pandemic mitigation measures in the United States. Social media has been implicated in fueling this polarization. In this paper, we uncover the network of COVID-19 related news sources shared to 30 politically biased and 2 neutral subcommunities on Reddit. We find, using exponential random graph modeling, that news sources associated with highly toxic – “rude, disrespectful” – content are more likely to be shared across political subreddits. We also find homophily according to toxicity levels in the network of online news sources. Our findings suggest that news sources associated with high toxicity are rewarded with prominent positions in the resultant network. The toxicity in COVID-19 discussions may fuel political polarization by denigrating ideological opponents and politicizing responses to the COVID-19 pandemic, all to the detriment of mitigation measures. Public health practitioners should monitor toxicity in public online discussions to familiarize themselves with emerging political arguments that threaten adherence to public health crises management. We also recommend, based on our findings, that social media platforms algorithmically promote neutral and scientific news sources to reduce toxic discussion in subcommunities and encourage compliance with public health recommendations in the fight against COVID-19. 相似文献
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Artificial intelligence (AI) is playing a key supporting role in the fight against COVID-19 and perhaps will contribute to solutions quicker than we would otherwise achieve in many fields and applications. Since the outbreak of the pandemic, there has been an upsurge in the exploration and use of AI, and other data analytic tools, in a multitude of areas. This paper addresses some of the many considerations for managing the development and deployment of AI applications, including planning; unpredictable, unexpected, or biased results; repurposing; the importance of data; and diversity in AI team membership. We provide implications for research and for practice, according to each of the considerations. Finally we conclude that we need to plan and carefully consider the issues associated with the development and use of AI as we look for quick solutions. 相似文献
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近年来,我国数字经济蓬勃发展,赋能实体经济提质增效,成为经济增长的新动能。在2020年的新冠肺炎疫情中,新一代信息技术在疫情防控、生产生活物资保障、复工复产等各环节得到广泛应用,助力科学防控、精准施控,也为我国经济社会全面数字化转型带来新的机遇。文章聚焦当前疫情影响下我国政府、产业、企业、社会的数字化转型机遇,分析了疫情中数字化转型存在的问题与挑战,提出了加快我国经济社会全面数字化转型的政策建议,具体包括:(1)加快推进政府数字化转型,提高政府治理现代化水平;(2)深化新一代信息技术在垂直细分领域的融合发展,丰富应用场景;(3)推动产业互联网建设,促进各产业数字化水平均衡发展;(4)加强数字化转型中的数据治理,保障数据的高效安全使用。 相似文献
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《Information processing & management》2022,59(4):102990
Documenting the emergent social representations of COVID-19 in public communication is necessary for critically reflecting on pandemic responses and providing guidance for global pandemic recovery policies and practices. This study documents the dynamics of changing social representations of the COVID-19 pandemic on one of the largest Chinese social media, Weibo, from December 2019 to April 2020. We draw on the social representation theory (SRT) and conceptualize topics and topic networks as a form of social representation. We analyzed a dataset of 40 million COVID-19 related posts from 9.7 million users (including the general public, opinion leaders, and organizations) using machine learning methods. We identified 12 topics and found an expansion in social representations of COVID-19 from a clinical and epidemiological perspective to a broader perspective that integrated personal illness experiences with economic and sociopolitical discourses. Discussions about COVID-19 science did not take a prominent position in the representations, suggesting a lack of effective science and risk communication. Further, we found the strongest association of social representations existed between the public and opinion leaders and the organizations’ representations did not align much with the other two groups, suggesting a lack of organizations’ influence in public representations of COVID-19 on social media in China. 相似文献
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《Information processing & management》2022,59(4):102989
Systematic processing helps individuals identify misinformation during the COVID-19 pandemic and serves as an individual-level measure to fight the infodemic. Highly educated people tend to engage in systematic processing more than their less educated counterparts. We follow a major part of the risk information seeking and processing (RISP) model to explicate this gap. An online survey (N = 1,568) conducted during the early stage of the pandemic in China showed that current knowledge and perceived information gathering capacity both positively mediated the association between education level and systematic processing. Although informational subjective norms were positively associated with systematic processing, we did not observe a significant difference in these norms between highly and less educated individuals. The results clarify the psychological mechanism underlying the education-based difference in systematic processing of the COVID-19 information and corroborate a relevant part of the RISP model. Moreover, our findings offer practical implications for facilitating individuals with less educational attainment to engage in systematic processing, thereby alleviating the negative impact of exposure to misinformation on them. These insights not only apply to managing the infodemic in China, but also inform the global recovery from the infodemic. 相似文献
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[目的/意义]重大突发事件对提高国家社会治理能力提出了新的要求,提升网络舆情态势评估能力成为创新社会治理的重要内容。[方法/过程]该文从网络舆情事件特征、关注度、传播扩散度及网民观点倾向等方面构建网络舆情态势评估指标,利用贝叶斯网络构建网络舆情态势评估模型,以“新冠肺炎疫情”事件为例,对网络舆情态势进行评估分析。[结果/结论]通过对网络舆情事件的测试,本文提出的方法具有较好的舆情态势评估效能,对“新冠肺炎疫情”相关网络舆情治理提出了建议。 相似文献
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提出“合作创新韧性”的概念，认为合作创新韧性是区域稳定合作创新网络对抗新冠疫情冲击的重要能力。基于演化经济地理学的相关理论，利用2017—2020年中国合作专利申请微观数据及30个省域数据，探讨创新投入多样化对合作创新韧性的直接作用，及其通过经济结构影响合作创新韧性的间接作用。研究发现，新冠疫情期间，由于研发预算软约束、市场不确定性和线下交互受阻等因素，疫情冲击具有结构偏向性，对基础研究和应用研究的影响更大，表现为创新投入越多样化的省份创新韧性（对冲击的抵抗能力）则越弱；创新投入多样化通过调节产业结构的升级和企业结构影响创新韧性，疫情对不同产业结构和企业结构的地区影响具有异质性；产业结构具有完全中介效应，企业结构具有部分中介效应。 相似文献
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此次新冠肺炎疫情传播速度快、影响范围广、防控难度大,在没有特异性治疗药物和疫苗的情况下,我国通过最全面彻底的、以"非医疗干预"手段为主的防控举措,全社会动员,全民参与,科学防治、精准防治,有效遏制了本土疫情,取得了阶段性重要成效。在此次疫情防控中,我国各级公共卫生与疾病预防控制(以下简称"疾控")体系起到了重要作用,但也暴露出了诸多短板和不足。文章梳理了现阶段我国疾控体系、公共卫生法律法规建设、卫生应急管理政策保障3个方面存在的突出问题,提出了新时代疾控体系的职能任务发展、关键科研技术建设和专业人才资源储备3个方面的具体建议。 相似文献