XI.2 AcademyScope

Jeff Colosino

Alphonse MacDonald

Stephen Mautner

Barbara Kline Pope

JD Talasek

Juan Thomassie

Katy Börner

Chin Hua Kong

Samuel T. Mills

Adam Simpson

AcademyScope represents a collaborative effort between the National Academy of Sciences and Indiana University’s Cyberinfrastructure for Network Science Center. This interactive visualization encourages viewers to explore all reports published by the National Academies of Sciences, Engineering, and Medicine in the last twenty years.

By using this discovery tool, viewers may browse reports by topic and subtopic, see the relatedness of reports via elaborate networks of book covers dynamically displayed on the screen, and access detailed information about individual reports. This version of AcademyScope consists of two main interfaces. The Topic View provides a proportional depiction of the number of titles within each sub-topic network. Sub-topic globes display relative publishing activity within individual sub-topics. The Sub-Topic View displays a network representation of the relationship between Academies reports based on full-text lexical analysis of each publication. This allows the user to highlight any given title and its related publications and also to view the number of titles published in that sub-topic by year.


References:

CNS Center at Indiana University. 2013. “The Making of AcademyScope.” YouTube. Last modified March 7, 2013. https://www.youtube.com/watch?v=pdqKBna1Fos.

Mautner, Stephen, Barbara Kline Pope, Alphonse MacDonald, JD Talasek, Juan Thomassie, Jeff Colosino, Chin Hua Kong, Adam Simpson, Samuel Mills, and Katy Börner. 2013. AcademyScope. Courtesy of the National Academy of Sciences and the Cyberinfrastructure for Network Science. In “11th Iteration (2016): Macroscopes for Interacting with Science,” Places & Spaces: Mapping Science, edited by Katy Börner and Lisel Record. http://scimaps.org.

The National Academies Press. 2016. “AcademyScope.” Accessed January 10, 2016. http://www.nap.edu/academy-scope/#top-downloads.

Acknowledgements: This exhibit is supported by the National Science Foundation under Grant No. IIS-0238261, CHE-0524661, IIS-0534909 and IIS-0715303, the James S. McDonnell Foundation; Thomson Reuters; the Cyberinfrastructure for Network Science Center, University Information Technology Services, and the School of Library and Information Science, all three at Indiana University. Some of the data used to generate the science maps is from the Web of Science by Thomson Reuters and Scopus by Elsevier. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.