Diversity in Visualization
Book information
Description
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. Editor's Note Preface Acknowledgments Framing the Conversation Looming Crisis Making the Case: Importance of a Diverse and Inclusive Visualization Community State of the Field Definitions and Scope Diversity: A Sociological Perspective Structural Thinking Socialization Oppression Privilege/Disprivilege Visualization: A Case Study Next Steps Factors Hindering Diversity The Straight Line from Diversity and Inclusion to Innovation Entry Barriers Leaky Pipeline Community Culture Case Studies Importance of Sharing Experiences Description and Framing of Case Studies Case Study 1 Case Study 2 Case Study 3 Case Study 4 Case Study 5 Community On-Ramps Broadening Participation in Visualization (BPViz) Workshop Supported Activities Participant Recruitment VisREU Site: Collaborative Data Visualization Applications Advanced Computing for Social Change and Computing4Change Retention Mentoring and Community Building—Critical Tools of Retention The CHI Mentoring (CHIMe) Workshop CHIme Results Lessons Learned VISMe: The Visualization Mentoring Workshop VisBuddies Matching Process and Results Outcomes Future Directions Diversity and Inclusion Conclusion Building Inclusive Communities Introduction Strategies for Inclusion Organizational Diversity and Inclusion Analysis of Strategies and Outlook Marshalling the Many Facets of Diversity Introduction Topic Diversity at IEEE VIS Topic Diversity Can Drive Gender Diversity Gender and Recognition at IEEE Visualization Geographical Diversity and Funding The Flow of International Research Funding Patterns of Migration Springboard for Future Directions Conclusion Acknowledgments Future of Diversity in Vis Bibliography Authors' Biographies Blank Page
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