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Blind Spots and Counterfeits in the Supply Chain Lessons from Haiti that can be well applied to the Philippines and Hawaii

机译:海地供应链课程中的盲点和假冒,可以很好地应用于菲律宾和夏威夷

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Collaborative Big Data Analytics involve a variety of techniques for information gathering and source authentication, including crowdsourcing data. In turn, the development of crowdsourced and participatory mechanisms for a more transparent supply chain is pivotal to identify blind spots and mitigate their impact on global citizens' health and safety. Such effort is also instrumental in reducing cyber risks from the digital world that currently represent a major threat to the stability of national and international economic systems. The paper reviews the lessons learned from the earthquake that devastated Haiti in 2010, whereby the successful combined application of crowdsourced crisis mapping with standard disaster relief operations was equalized by the challenges of data verification for the authenticity of humanitarian products. By overviewing the threats to supply chains coming from the digital world, the paper proposes the adoption of next-generation network science tools to enhance transparency of global supply chains and reduction of cyber risks on the global society.
机译:协作大数据分析涉及各种用于信息收集和源认证的技术,包括众群数据。反过来,众所周度的众所周滞和参与机制的发展是衡量盲点的关键,并减轻他们对全球公民的健康和安全的影响。这种努力也是减少了从目前代表了对国家和国际经济系统稳定性的主要威胁的数字世界的网络风险。本文审查了2010年摧毁了海地的地震的经验教训,由此通过人道主义产品真实性的数据核查挑战,成功结合众群危机绘图的综合应用。本文通过概述供应来自数字世界的供应链的威胁,提出了采用下一代网络科学工具,以提高全球供应链的透明度,并在全球社会上减少网络风险。

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