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Title:Information science to data science: New directions for iSchools
Author(s):Greenberg, Jane; Lin, Xia; Chowdhury, Gobinda; Oh, Sam; Ortiz-Repiso, Virginia; Sugimoto, Shigeo
Subject(s):Data science education
International dialog
iSchool community
Abstract:The iSchools represent the convergence of a range of disciplines (information/library science, computer science, communications, telecommunications, and information technology, while integrating aspects of social science, economics, and policy). The diversity of disciplines positions iSchools to contribute to data science research and workforce needs in both ordinary and novel ways. This workshop will provide a needed forum for international dialog on the iSchool community's engagement with data science. The goals are to: 1) share iSchool developments in data science education and research, 2) articulate unique contributions and opportunities for iSchools in the data science, and 3) lay a foundation for continued international dialog among iSchools pursuing or seeking to pursue data science. A final report will summarize position papers, synthesize workshop discussions, outline action items for continued iSchool work in this area. An overall output, will be the foundation for a cohesive framework to enable the iSchool community dialog on data science.
Issue Date:2017
Publisher:iSchools
Citation Info:Greenberg, J., Lin, X., Chowdhury, G., Oh, S., Ortiz-Repiso, V., & Sugimoto, S. (2017). Information Science to Data Science: New Directions for iSchools. In iConference 2017 Proceedings (pp. 919-921). https://doi.org/10.9776/17404
Series/Report:iConference 2017 Proceedings
Genre:Conference Paper/Presentation
Type:Text
Language:English
URI:http://hdl.handle.net/2142/96787
DOI:https://doi.org/10.9776/17404
Rights Information:Copyright 2017 Jane Greenberg, Xia Lin, Gobinda Chowdhury, Sam Oh, Virginia Ortiz-Repiso, and Shigeo Sugimoto
Date Available in IDEALS:2017-07-27


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