采访George Sciadas，关于他的书《数字精明：从数字的发明到数据的未来》1

Q3 Decision Sciences

Statistical Journal of the IAOS Pub Date : 2023-04-11 DOI:10.3233/sji-230019

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引用次数: 0

摘要

加拿大统计局前局长George Sciadas最近出版了《数字精明》一书，副标题为“从数字的发明到数据的未来”。尽管近年来出版了几本关于数据的书，但这本书从几个角度来看都很引人注目。这本书是由一位内部人士撰写的，他是一位来自国家统计局的经验丰富的员工，尽管其风格让广大读者能够理解和欣赏这些材料。关注这本书的另一个原因是它的结构清晰，突出了统计数据的制作和使用的关键要素，这使它成为一本对参与统计素养培训的人非常有用的书。考虑到这一特定的关注点，沃尔特·拉德马赫被发现愿意采访作家乔治·西亚达斯。

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Interview with George Sciadas, about his book ‘Number Savvy: From the Invention of Numbers to the Future of Data’1

George Sciadas, a former director from Statistics Canada recently published the book ‘Number Savvy’, with the subtitle ‘From the Invention of Numbers to the Future of Data’. Though in recent years several books on data were published, this book is striking from several perspectives. It has been written by an insider, an experienced employee from a national statistical office, though in a style that allows a wide range of readers to understand and enjoy the material. Another reason for putting the spotlight on this book is its explicit structure, highlighting crucial elements of the production of statistics as well as its use, which makes it a tremendously useful book for those involved in training in statistical literacy. With this specific focus in mind, Walter Radermacher was found willing to interview the author George Sciadas.

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来源期刊

Statistical Journal of the IAOS Economics, Econometrics and Finance-Economics and Econometrics

CiteScore

1.30

自引率

0.00%

发文量

116

期刊介绍： This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.