Diversity in Visualization

Erscheinungsjahr 2019
ISBN: 978-1-68173-493-4
Verlag: Morgan & Claypool Publishers

Buch, Englisch, 127 Seiten, Paperback, Format (B × H): 191 mm x 235 mm

Reihe: Synthesis Lectures on Visualization

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.

Autoren/Hrsg.

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
• Mathematik | Informatik EDV | Informatik Digital Lifestyle
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung

Inhaltsverzeichnis

- Editor's Note
- Preface
- Acknowledgments
- Framing the Conversation
- Diversity: A Sociological Perspective
- Factors Hindering Diversity
- Case Studies
- Community On-Ramps
- Retention
- Building Inclusive Communities
- Marshalling the Many Facets of Diversity
- Future of Diversity in Vis
- Bibliography
- Authors' Biographies

Über Autor(innen)

Ronald Metoyer is an Associate Professor of Computer Science and Engineering at the University of Notre Dame. He earned his B.S. in Computer Science and Engineering at the University of California, Los Angeles (1994) and his Ph.D. in Computer Science from the Georgia Institute of Technology (2002) where he worked in the Graphics, Visualization and Usability Center. He previously served on the faculty at Oregon State University in the School of Electrical Engineering and Computer Science (2001–2014). His primary research interest is in human-computer interaction and information visualization, with a focus on multivariate data visualization, decision-making, and narrative. He has published over 60 papers in top conferences and journals in human-computer interaction and computer graphics, and he is the recipient of a 2002 NSF CAREER Award for his work in exploring usability issues around the generation of animated character content for training scenarios. As an advocate for broadening participation in computing, he has served in many roles including several years on the program committee of the Richard Tapia Celebration of Diversity in Computing. He also serves as Assistant Dean in the College of Engineering at the University of Notre Dame.

Kelly Gaither is the Director of Visualization at the Texas Advanced Computing Center (TACC) at the University of Texas, having joined TACC as Associate Director in September 2001. She received her doctoral degree in Computational Engineering from Mississippi State University in May 2000 and her masters and bachelor's degrees in Computer Science from Texas A&M University in 1992 and 1988, respectively. She has given a number of invited talks and published over thirty refereed papers in fields ranging from computational mechanics to supercomputing applications to scientific visualization. Over the past ten years, she has actively participated in conferences related to her field, specifically acting as general chair of IEEE Visualization in 2004.

David Ebert is a Professor in the School of Electrical and Computer Engineering at Purdue University, a University Faculty Scholar, Director of the Purdue University Rendering and Perceptualization Lab (PURPL), and Director of the Purdue University Regional Visualization and Analytics Center (PURVAC), which is part of the Department of Homeland Security's Regional Visualization and Analytics Center of Excellence. Dr. Ebert performs research in novel visualization techniques, visual analytics, volume rendering, information visualization, perceptually-based visualization, illustrative visualization, and procedural abstraction of complex, massive data.Ebert has been very active in the visualization community, teaching courses, presenting papers, co-chairing many conference program committees, serving on the ACM SIGGRAPH Executive Committee, serving as Editor in Chief of IEEE Transactions on Visualization and Computer Graphics, serving as a member of the IEEE Computer Society's Publications Board, serving on the National Visualization and Analytics Center's National Research Agenda Panel, and successfully managing research programs to develop more effective methods for visually communicating information.

Niklas Elmqvist is an associate professor in the iSchool (College of Information Studies) at University of Maryland, College Park. He received his Ph.D. in computer science in 2006 from Chalmers University in Gothenburg, Sweden, and has held research positions at Georgia Institute of Technology in Atlanta, GA (Spring 2006), INRIA in Paris, France (Spring 2007), and Microsoft Research in Paris, France (2007-2008). Prior to joining University of Maryland, he was an assistant professor of electrical and computer engineering at Purdue University in West Lafayette, IN. His research area is information visualization, human-computer interaction, and visual analytics. He is the recipient of an NSF CAREER award as well as best paper awards from the IEEE Information Visualization conference, the International Journal of Virtual Reality, and the ASME IDETC/CIE 2013 conference. His research has been funded by both federal agencies such as NSF and DHS as well as by companies such as Google, NVIDIA, and Microsoft. He is also the recipient of the Purdue Student Government Graduate Mentoring Award in 2014, a Ruth and Joel Spira Outstanding Teacher Award in 2012, and the Purdue ECE Chicago Alumni New Faculty award in 2010.