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Responsible Data Science in a Dynamic World The Four Essential Elements of Data Science

机译:一种充满活力的数据科学的负责数据科学数据科学的四个基本要素

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Data science is changing our world in many different ways. Data and the associated data science innovations are changing everything: the way we work, the way we move, the way we interact, the way we care, the way we learn, and the way we socialize. As a result, many professions will cease to exist. For example, today's call centers will disappear just like video rental shops disappeared. At the same time, new jobs, products, services, and opportunities emerge. Hence, it is important to understand the essence of data science. This extended abstract discusses the four essential elements of data science: "water" (availability, magnitude, and different forms of data), "fire" (irresponsible uses of data and threats related to fairness, accuracy, confidentiality, and transparency), "wind" (the way data science can be used to improve processes), and "earth" (the need for data science research and education). Next to providing an original view on data science, the abstract also highlights important next steps to ensure that data will not just change, but also improve our world.
机译:数据科学正在以多种不同的方式改变我们的世界。数据和相关数据科学创新正在改变一切:我们工作的方式,我们移动的方式,我们互动的方式,我们关心的方式,我们学习的方式,以及我们社交的方式。因此,许多职业将停止存在。例如,今天的呼叫中心将像视频租赁商店一样消失。与此同时,新的就业,产品,服务和机会出现。因此,了解数据科学的本质非常重要。这延长的摘要讨论了数据科学的四个基本要素:“水”(可用性,幅度和数据形式的不同形式),“火灾”(无疑使用数据和威胁与公平,准确性,机密性和透明度相关),“风“(数据科学的方式可用于改善流程)和”地球“(对数据科学研究和教育的需求)。旁边为在数据科学提供原创视图,摘要还突出了重要的下一步,以确保数据不仅仅是改变,而且还改善了我们的世界。

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