当代科学知识体系中的数据科学。评论《数据科学思维:下一场科学、技术和经济革命》曹龙兵著

Vadim Gureyev, N. Mazov
{"title":"当代科学知识体系中的数据科学。评论《数据科学思维:下一场科学、技术和经济革命》曹龙兵著","authors":"Vadim Gureyev, N. Mazov","doi":"10.19181/smtp.2023.5.4.13","DOIUrl":null,"url":null,"abstract":"This paper reviews the book “Data Science Thinking: The Next Scientific, Technological and Economic Revolution” by Longbing Cao (ORCID: 0000-0003-1562-9429). He is a prominent Australian researcher specializing in informatics and wide range of current topical studies in machine learning, artificial intelligence, etc. Despite the large volume of the book, the author densely represent the formation of data science as a new discipline. This subject area demonstrates a number of unique features as compared to “traditional” sciences, i.e. a closer link between theory and practice, merging approaches from the humanities / social sciences and exact / natural sciences, as well as the possibility to study previously unknown and inaccessible phenomena. The book can generate interest among researchers of the history of science, as well as experts who work with data.","PeriodicalId":433804,"journal":{"name":"Science Management: Theory and Practice","volume":"7 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data Science in the System of Contemporary Scientific Knowledge. Review of the Book “Data Science Thinking: The Next Scientific, Technological and Economic Revolution” by Longbing Cao\",\"authors\":\"Vadim Gureyev, N. Mazov\",\"doi\":\"10.19181/smtp.2023.5.4.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper reviews the book “Data Science Thinking: The Next Scientific, Technological and Economic Revolution” by Longbing Cao (ORCID: 0000-0003-1562-9429). He is a prominent Australian researcher specializing in informatics and wide range of current topical studies in machine learning, artificial intelligence, etc. Despite the large volume of the book, the author densely represent the formation of data science as a new discipline. This subject area demonstrates a number of unique features as compared to “traditional” sciences, i.e. a closer link between theory and practice, merging approaches from the humanities / social sciences and exact / natural sciences, as well as the possibility to study previously unknown and inaccessible phenomena. The book can generate interest among researchers of the history of science, as well as experts who work with data.\",\"PeriodicalId\":433804,\"journal\":{\"name\":\"Science Management: Theory and Practice\",\"volume\":\"7 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science Management: Theory and Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.19181/smtp.2023.5.4.13\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science Management: Theory and Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.19181/smtp.2023.5.4.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文评述了曹龙兵(ORCID:0000-0003-1562-9429)所著的《数据科学思维:曹龙兵(ORCID:0000-0003-1562-9429)所著的《数据科学思维:下一场科学、技术和经济革命》一书。他是澳大利亚著名的信息学研究者,专门从事机器学习、人工智能等领域的广泛研究。尽管该书卷帙浩繁,但作者浓墨重彩地表现了数据科学作为一门新学科的形成。与 "传统 "科学相比,这一学科领域显示出许多独特之处,即理论与实践之间的联系更加紧密,融合了人文/社会科学和精密/自然科学的方法,以及研究以前未知和难以接近的现象的可能性。本书可引起科学史研究人员以及数据专家的兴趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Data Science in the System of Contemporary Scientific Knowledge. Review of the Book “Data Science Thinking: The Next Scientific, Technological and Economic Revolution” by Longbing Cao
This paper reviews the book “Data Science Thinking: The Next Scientific, Technological and Economic Revolution” by Longbing Cao (ORCID: 0000-0003-1562-9429). He is a prominent Australian researcher specializing in informatics and wide range of current topical studies in machine learning, artificial intelligence, etc. Despite the large volume of the book, the author densely represent the formation of data science as a new discipline. This subject area demonstrates a number of unique features as compared to “traditional” sciences, i.e. a closer link between theory and practice, merging approaches from the humanities / social sciences and exact / natural sciences, as well as the possibility to study previously unknown and inaccessible phenomena. The book can generate interest among researchers of the history of science, as well as experts who work with data.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
On the Separation of Scientific Activity and the State-owned Corporate Form of Science Management in Contemporary Russia. Part 1 Jurisprudence for the Development of Science: Ideas that Should Not Be Forgotten (To the 100th Anniversary of the Institute of Legislation and Comparative Law under the Government of the RF) The State Policy of the USSR in Relation to the Academy of Sciences of the USSR in the Second Half of the 20th Century. The Organizational and Legal Aspect Introduction of Artificial Intelligence Technologies in Russian Economy: A Practitioner’s View Digitalization of Public Administration and Economy: Terminological Clarity as a Factor of Success of Digital Development. Review of the Textbook “Digital State and Economy” Edited by S. E. Prokofiev, O. V. Panina and K. V. Kharchenko
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1