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Visceral Histories, Visual Arguments: Dance-Based Approaches to Data

本能的历史，视觉的论证：基于舞蹈的数据方法

基本信息

批准号：
AH/W005034/1
负责人：
Kate Elswit
金额：
$ 31.05万
依托单位：
Royal Central School of Speech and Drama
依托单位国家：
英国
项目类别：
Fellowship
财政年份：
2022
资助国家：
英国
起止时间：
2022 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=AH%2FW005034%2F1
关键词：
Visceral Histories Visual Arguments Dance

项目摘要

While dancers and dance scholars understand movement and gesture to be sites of knowledge production, the field of dance history has been reluctant to adopt data-driven analytic methods, which are presumed to be dematerializing and reductive. Grounded in the specific needs of dance scholarship, 'Visceral Histories, Visual Arguments' engages with emerging digital techniques and technologies from the perspective of dance-based knowledge practices, with the aim to develop a methodology of 'visceral data analysis' that explicitly focuses on data drawn from and reflective of bodily experience. The Fellow's previous collaborative research pioneered the application of scalable digital methods to the field of dance history; this new work focuses on the adaptation of data-driven research to the medium of dance that serves to enable this broader paradigm shift. The new methodology of visceral data analysis will offer an interdisciplinary approach to the challenge of analyzing moving bodies as subjects of data-driven historical inquiry, which will further benefit all fields that grapple with maintaining the complexity of bodies when they are represented as data. 'Visceral Histories, Visual Arguments' draws together individuals and ideas from dance studies, artistic research in dance-technology, archival science, museology, digital humanities, critical data studies, human computer interaction, visual communication, and data science. The Fellow will engage in a three-phase programme of research with Collaborating Organizations and Project Partners, including museums and archives exploring digital innovation (the San-Francisco-based Museum of Dance; the Harry Ransom Center in Austin, Texas; the National Archives of Data on Arts and Culture; The National Archives), emerging technology and design centres at two US universities (Advanced Computing Center for the Arts and Design at The Ohio State University and Augmented Environments Lab at Georgia Institute of Technology), and community dance stakeholders (the US-based Institute for Dunham Technique Certification). In the process, the Fellow will build international peer networks of interdisciplinary and intersectoral interlocutors and develop research leadership by mentoring and inspiring innovative research, including among next generation ECRs. These substantive knowledge exchanges will provide access to technical domain knowledge and resources, enabling the Fellow to address the conceptual and technological challenges of developing data-driven analytic approaches tailored to the medium of dance. Collaborators will benefit from new insights into the qualitative dimensions of visceral data, including what such data may feel like, and how these feelings can translate into palpable visual arguments for historical dance data in the form of digital visualizations and immersive experiences that are guided by choreographic principles.The Fellow will convene a bi-monthly Visceral Data Discussion Group to establish an interdisciplinary community of practice and shared vocabulary, and ultimately set the trajectory of future research in visceral data analysis. Findings will be disseminated through an edited collection of essays and additional digital and print peer-reviewed publications, including a dataset, an essay, and a research blog, and through scholarly and cultural industries presentations and networking opportunities, and two interactive digital installations. The Fellow will be mentored by an internal mentor who has a track record of leading data-driven research in theatre history, an external CLORE mentor who specializes in arts leadership, and by senior advisors drawn from Partner organizations. Collaboration will provide pathways to impact for Project Partners in the cultural sector to develop and enhance their own practices and ways of working by centering dance-based knowledge in technological innovation, and making dance's historical archives more accessible to broader publics.

虽然舞者和舞蹈学者将动作和手势理解为知识生产的场所，但舞蹈史领域一直不愿意采用数据驱动的分析方法，认为这些方法是非物质化和还原的。基于舞蹈奖学金的具体需求，“内脏历史，视觉论证”从基于舞蹈的知识实践的角度与新兴的数字技术和技术相结合，旨在开发一种“内脏数据分析”的方法，明确关注从身体体验中提取的数据并反映身体体验。该研究员以前的合作研究开创了可扩展的数字方法在舞蹈史领域的应用;这项新工作的重点是将数据驱动的研究适应于舞蹈媒介，以实现这种更广泛的范式转变。内脏数据分析的新方法将提供一种跨学科的方法来分析移动身体作为数据驱动的历史调查的主题的挑战，这将进一步有利于所有在以数据表示时努力保持身体复杂性的领域。“内脏历史，视觉论据”汇集了来自舞蹈研究，舞蹈技术艺术研究，档案科学，博物馆学，数字人文，关键数据研究，人机交互，视觉传达和数据科学的个人和想法。该研究员将与合作组织和项目合作伙伴（包括探索数字创新的博物馆和档案馆）进行三阶段研究计划（位于旧金山的舞蹈博物馆;德克萨斯州奥斯汀的哈里·兰塞姆中心;国家艺术和文化数据档案馆;国家档案馆），美国两所大学的新兴技术和设计中心（俄亥俄州州立大学的艺术与设计高级计算中心和格鲁吉亚理工学院的增强环境实验室）和社区舞蹈利益相关者（美国邓纳姆技术认证研究所）。在此过程中，研究员将建立跨学科和跨部门对话者的国际同行网络，并通过指导和激励创新研究，包括下一代ECR，发展研究领导力。这些实质性的知识交流将提供获得技术领域知识和资源的机会，使研究员能够解决开发适合舞蹈媒介的数据驱动分析方法的概念和技术挑战。合作者将受益于对内脏数据的定性维度的新见解，包括这些数据的感觉，以及这些感受如何以数字可视化和沉浸式体验的形式转化为历史舞蹈数据的可触知视觉论据，并以舞蹈原则为指导。每月内脏数据讨论组建立一个跨学科的实践和共享词汇的社区，并最终确定内脏数据分析未来研究的轨迹。调查结果将通过编辑的论文集和其他数字和印刷同行评审出版物，包括数据集，论文和研究博客，并通过学术和文化产业的演示和网络机会，以及两个互动数字装置传播。该研究员将由内部导师谁拥有领先的数据驱动的研究在剧院历史上的跟踪记录，谁专门从事艺术领导的外部CLORE导师，并从合作伙伴组织的高级顾问绘制指导。合作将为文化部门的项目合作伙伴提供影响力的途径，通过将基于舞蹈的知识集中在技术创新中，并使更广泛的公众更容易获得舞蹈的历史档案，来发展和加强他们自己的实践和工作方式。