International Workshop on Data-driven Science of Science

Yi Bu; Meijun Liu; Yujia Zhai; Ying Ding; Feng Xia; Daniel E. Acuña; Yi Zhang

doi:10.1145/3534678.3542891

International Workshop on Data-driven Science of Science

Yi Bu, Meijun Liu, Yujia Zhai, Ying Ding, Feng Xia, Daniel E. Acuña, Yi Zhang

Research output: Chapter in Book/Entry/Poem › Conference contribution

2 Scopus citations

Abstract

Citation data, along with other bibliographic datasets, have long been adopted by the knowledge and data discovery community as an important direction for presenting the validity and effectiveness of proposed algorithms and strategies. Many top computer scientists are also excellent researchers in the science of science. The purpose of this workshop is to bridge the two communities (i.e., the knowledge discovery community and the science of science community) together as the scholarly activities become salient web and social activities that start to generate a ripple effect on broader knowledge discovery communities. This workshop will showcase the current data-driven science of science research by highlighting several studies and constructing a community of researchers to explore questions critical to the future of data-driven science of science, especially a community of data-driven science of science in Data Science so as to facilitate collaboration and inspire innovation. Through discussion on emerging and critical topics in the science of science, this workshop aims to help generate effective solutions for addressing environmental, societal, and technological problems in the scientific community.

Original language	English (US)
Title of host publication	KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Publisher	Association for Computing Machinery
Pages	4856-4857
Number of pages	2
ISBN (Electronic)	9781450393850
DOIs	https://doi.org/10.1145/3534678.3542891
State	Published - Aug 14 2022
Externally published	Yes
Event	28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2022 - Washington, United States Duration: Aug 14 2022 → Aug 18 2022

Publication series

Name	Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Conference

Conference	28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2022
Country/Territory	United States
City	Washington
Period	8/14/22 → 8/18/22

Keywords

data science
quantitative methods
science of science

ASJC Scopus subject areas

Software
Information Systems

Access to Document

10.1145/3534678.3542891

Cite this

Bu, Y., Liu, M., Zhai, Y., Ding, Y., Xia, F., Acuña, D. E., & Zhang, Y. (2022). International Workshop on Data-driven Science of Science. In KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 4856-4857). (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). Association for Computing Machinery. https://doi.org/10.1145/3534678.3542891

International Workshop on Data-driven Science of Science. / Bu, Yi; Liu, Meijun; Zhai, Yujia et al.
KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2022. p. 4856-4857 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapter in Book/Entry/Poem › Conference contribution

Bu, Y, Liu, M, Zhai, Y, Ding, Y, Xia, F, Acuña, DE & Zhang, Y 2022, International Workshop on Data-driven Science of Science. in KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, pp. 4856-4857, 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2022, Washington, United States, 8/14/22. https://doi.org/10.1145/3534678.3542891

Bu Y, Liu M, Zhai Y, Ding Y, Xia F, Acuña DE et al. International Workshop on Data-driven Science of Science. In KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery. 2022. p. 4856-4857. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). doi: 10.1145/3534678.3542891

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International Workshop on Data-driven Science of Science

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this