Broadening Participation in Visualization (BPViz) Workshop

该项目的目标是扩大妇女和代表性不足群体对可视化的参与。倡议建议每年举办一次为期两天的讲习班和其他活动，以增加妇女和代表性不足群体在可视化方面的参与。可视化在探索和理解所有学科的数据方面发挥着重要作用，其共同目标是：洞察数据中存在的复杂关系。通过提供职业指导建议、过去成就概述和可视化领域未来的研究方向，使具有如此深远影响的领域多样化是很重要的。提议的研讨会通过告知、启发和鼓励不同的参与者参与可视化和科学研究的多学科动态来推进NSF的使命。第一个受支持的研讨会于2014年在南卡罗来纳州的克莱姆森大学举行。第二届研讨会将于2016年举行。大约20名本科生、研究生、研究生和早期职业教师将被邀请参加研讨会。研讨会将由一系列的演讲、交流小组和指导活动组成。为了鼓励合作，参与者将在海报环节展示自己的作品并探索他人的作品。参与者将通过许多不同的场所招募，包括但不限于：Anita Borge研究所/Grace Hopper列表服务，协会列表服务（CRA, CRA- w， CDC， AAPHDCS，西班牙裔计算机和女性机器学习），扩大参与社区（A4RC， EL联盟）和特定学科的邮件列表（IEEE-Vis）。本科生将由校内组织（女性科学与工程和查尔斯·h·休斯顿中心）招募。包括本科生将确保可视化的兴趣水平跨越学术和专业领域。研讨会的成果将通过在研讨会开始和结束时对参与者进行调查来评估。

The objective of this project is to broaden participation of women and underrepresented groups in visualization. The PI proposes to establish an annual two-day workshop and other activities designed to increase the participation of women and underrepresented groups in visualization. Visualization plays a significant role in the exploration and understanding of data across all disciplines with a universal goal: gaining insight into the complex relationships that exist within the data. The need to diversify a field with such far reaching influences by providing career mentoring advice, overviews of past accomplishments, and future research directions in visualization is important. The proposed workshops advances the NSF mission by informing, inspiring and encouraging diverse participants to engage in the multidisciplinary dynamics of visualization and scientific research.The first supported workshop was held in 2014 at Clemson University in South Carolina. The second workshop will be held in 2016. About 20 participants at the undergraduate, graduate, post-graduate, and early career faculty level will be invited to participate in the workshop. The workshop will be organized as a series of presentations, panels with networking opportunities, and mentoring activities. To encourage collaborations, participants will present their work and explore the work of others during a poster session. Participants will be recruited via a number of different venues including, but not limited to: The Anita Borge Institute/Grace Hopper listserv, association listservs (CRA, CRA-W, CDC, AAPHDCS, Hispanics in Computing, and Women in Machine Learning), Broadening Participation Communities (A4RC, EL Alliance) and discipline-specific mailing lists (IEEE-Vis). Undergraduates will be recruited by on-campus organizations (Women in Science and Engineering and The Charles H. Houston Center). The inclusion of undergraduates will ensure the level of interest in visualization spans across academic and professional domains. Outcomes of the workshops will be assessed by surveying participants at the start and at the end of the workshop.