Challenges and Opportunities in Statistics and Data Science: Ten Research Areas.
Challenges and Opportunities in Statistics and Data Science: Ten Research Areas.
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统计和数据科学的挑战和机遇：十大研究领域。
DOI：
10.1162/99608f92.95388fcb
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Lin,Xihong
中科院分区：
文献类型：
--
作者：
He,Xuming;Lin,Xihong
作为一门涉及数据许多方面的学科，统计学是快速发展的数据科学领域的关键支柱。数据（尤其是大数据）在许多应用中的作用日益重要，为统计领域带来了前所未有的挑战和令人兴奋的机遇。统计学在数据科学中发挥着关键作用，它可以帮助数据的使用和面对不确定性时的决策。在本文中，我们提出了十个可以使统计和数据科学对科学和社会产生更大影响的研究领域。关注这些领域将有助于更好地将数据转化为知识、可操作的见解和可交付成果，并促进与计算机和其他定量科学家和领域科学家的更多合作。
As a discipline that deals with many aspects of data, statistics is a critical pillar in the rapidly evolving landscape of data science. The increasingly vital role of data, especially big data, in many applications, presents the field of statistics with unparalleled challenges and exciting opportunities. Statistics plays a pivotal role in data science by assisting with the use of data and decision making in the face of uncertainty. In this article, we present ten research areas that could make statistics and data science more impactful on science and society. Focusing on these areas will help better transform data into knowledge, actionable insights and deliverables, and promote more collaboration with computer and other quantitative scientists and domain scientists.