Iteration XVI (2020): Macroscopes for Harnessing the Power of Data

Four Macroscopes





Macroscopes gather vast amounts of information, analyze it, and visualize it to gain clear insights from complex data. To do so, they use powerful algorithms. This iteration highlights different methods for analyzing and visualizing a dataset: scrollytelling, network analysis, dimensionality reduction, and natural language processing. Each can be used to create data portals of great power, utility, and beauty.

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.