From: Nancy Herther <[log in to unmask]>
Date: Fri, 13 Nov 2020 22:11:40 -0600

Update:  Sorry I forgot the link!

https://www.charleston-hub.com/2020/11/visualizing-data-part-3-a-conversation-with-parsons-school-of-designs-daniel-sauter/?utm_source=rss&utm_medium=rss&utm_campaign=visualizing-data-part-3-a-conversation-with-parsons-school-of-designs-daniel-sauter

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


On Thu, Nov 12, 2020 at 7:13 PM LIBLICENSE <[log in to unmask]> wrote:
>
> 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