Beginning August 29, 2022, the Places & Spaces exhibit’s newest collection of interactive data visualizations, or macroscopes, will debut at the University of Michigan’s Clark Library and on scimaps.org. In addition to hosting an interactive kiosk featuring the four new and 28 previous macroscopes, the Clark Library will display a selection of Places & Spaces science maps from its own archival collection. The maps and macroscopes will be on display through January 20th and will feature a talk on data visualization by curator Katy Börner.

The Places & Spaces exhibit showcases the visualization of complex data in innovative and beautiful formats, using groundbreaking methods for making sense of large streams of data. Each year new visualizations are added, culled from international and interdisciplinary submissions.

The four macroscopes that join the exhibit in 2022 are interactive visualizations that disrupt old habits of seeing, that challenge our common patterns of perception in order that we might see things anew. A shift in perspective can result in a richer and more multifaceted understanding of the subject at hand, whether that subject is egg shape or the motion of the stars.

The exhibition will be on display in the Clark Library, which is located on the second floor of Hatcher Library South.


Clark Library
Hatcher Library South, 2nd Floor
913 S. University Ave
Ann Arbor, MI 48109-1190

Special Events

To commemorate the launch of a new iteration of Places & Spaces, Dr. Katy Börner will deliver a presentation entitled “Science Maps and Macroscopes” on Friday, September 30, 2022, at 3pm in the Clark Library.


Places & Spaces: Mapping Science is curated by Dr. Katy Borner, Lisel Record, and Todd Theriault at the Cyberinfrastructure for Network Science Center, Luddy School of Informatics, Computing, and Engineering at Indiana University. Places & Spaces also receives input from its Advisory Board. Tim Utter, manager of the Clark Library, is organizing the exhibit at the University of Michigan.

Exhibit funding is provided by the National Science Foundation under grants IIS-0238261, CHE-0524661, IIS-0534909, IIS-0715303, DRL-1713567, and DMS-1839167; the James S. McDonnell Foundation; and Clarivate Analytics. Additional funding comes from the Cyberinfrastructure for Network Science Center, University Information Technology Services, and the Luddy School of Informatics, Computing, and Engineering—all three located at Indiana University. Some of the data used to generate science maps is from Clarivate Analytics and 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 or other sponsors.

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Matthew Martindale
Cyberinfrastructure for Network Science (CNS) Center Assistant
Luddy School of Informatics, Computing, and Engineering,
Indiana University

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