Diversity in Visualization

Diversity in Visualization
Author :
Publisher : Springer Nature
Total Pages : 109
Release :
ISBN-10 : 9783031026065
ISBN-13 : 3031026063
Rating : 4/5 (063 Downloads)

Book Synopsis Diversity in Visualization by : Ron Metoyer

Download or read book Diversity in Visualization written by Ron Metoyer and published by Springer Nature. This book was released on 2022-06-01 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the 2016 IEEE VIS Conference in Baltimore, Maryland, a panel of experts from the Scientific Visualization (SciVis) community gathered to discuss why the SciVis component of the conference had been shrinking significantly for over a decade. As the panelists concluded and opened the session to questions from the audience, Annie Preston, a Ph.D. student at the University of California, Davis, asked whether the panelists thought diversity or, more specifically, the lack of diversity was a factor. This comment ignited a lively discussion of diversity: not only its impact on Scientific Visualization, but also its role in the visualization community at large. The goal of this book is to expand and organize the conversation. In particular, this book seeks to frame the diversity and inclusion topic within the Visualization community, illuminate the issues, and serve as a starting point to address how to make this community more diverse and inclusive. This book acknowledges that diversity is a broad topic with many possible meanings. Expanded definitions of diversity that are relevant to the Visualization community and to computing at large are considered. The broader conversation of inclusion and diversity is framed within the broader sociological context in which it must be considered. Solutions to recruit and retain a diverse research community and strategies for supporting inclusion efforts are presented. Additionally, community members present short stories detailing their ""non-inclusive"" experiences in an effort to facilitate a community-wide conversation surrounding very difficult situations. It is important to note that this is by no means intended to be a comprehensive, authoritative statement on the topic. Rather, this book is intended to open the conversation and begin to build a framework for diversity and inclusion in this specific research community. While intended for the Visualization community, ideally, this book will provide guidance for any computing community struggling with similar issues and looking for solutions.


Diversity in Visualization Related Books

Diversity in Visualization
Language: en
Pages: 109
Authors: Ron Metoyer
Categories: Mathematics
Type: BOOK - Published: 2022-06-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

At the 2016 IEEE VIS Conference in Baltimore, Maryland, a panel of experts from the Scientific Visualization (SciVis) community gathered to discuss why the SciV
Data Visualization in Society
Language: en
Pages: 466
Authors: Martin Engebretsen
Categories: Computers
Type: BOOK - Published: 2020-03-21 - Publisher: Amsterdam University Press

DOWNLOAD EBOOK

Today we are witnessing an increased use of data visualization in society. Across domains such as work, education and the news, various forms of graphs, charts
Visualizing with Text
Language: en
Pages: 299
Authors: Richard Brath
Categories: Computers
Type: BOOK - Published: 2020-11-01 - Publisher: CRC Press

DOWNLOAD EBOOK

Visualizing with Text uncovers the rich palette of text elements usable in visualizations from simple labels through to documents. Using a multidisciplinary res
Information is Beautiful
Language: en
Pages: 258
Authors: David McCandless
Categories: Art
Type: BOOK - Published: 2009 - Publisher: HarperCollins UK

DOWNLOAD EBOOK

Miscellaneous facts and ideas are interconnected and represented in a visual format, a "visual miscellaneum," which represents "a series of experiments in makin
Diversity in Visualization
Language: en
Pages: 127
Authors: Ron Metoyer
Categories:
Type: BOOK - Published: 2019-03-28 - Publisher:

DOWNLOAD EBOOK

At the 2016 IEEE VIS Conference in Baltimore, Maryland, a panel of experts from the Scientific Visualization (SciVis) community gathered to discuss why the SciV