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LIBLICENSE <[log in to unmask]>
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LibLicense-L Discussion Forum <[log in to unmask]>
Date:
Thu, 12 Nov 2020 20:08:20 -0500
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From: Nancy Herther <[log in to unmask]>
Date: Wed, 11 Nov 2020 22:03:59 -0600

In a great new interview for CHARLESTON HUB, Daniel Sauter, Associate
Professor of Art, Media and Technology and Director of Data
Visualization at Parsons School of Design of The New School, provided
some new perspectives on how data visualizations can be validated.
Very interesting perspectives!

" In a sense, the tools themselves become a comprehensive form of
citation that can be validated. Citation has always been a key in
gauging bias and the validity of an argument. The same holds true for
data visualizations. Our students use statistical analysis and machine
learning techniques for this work, which cannot be validated from a
single visual output. Validation requires access to the underlying
methods, models, and data."

This was part of a series on visualization that is worth a read.

Nancy Herther
Series author

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