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.

尽管舞者和舞蹈学者将运动和手势视为知识生产的场所，但舞蹈历史领域一直不愿采用数据驱动的分析方法，这些分析方法被认为是依次化和还原的。从基于舞蹈的知识实践的角度来看，“内在的历史”基于舞蹈奖学金的特定需求，视觉论证和技术与新兴的数字技术和技术有关，旨在开发一种“内脏数据分析”的方法，该方法明确地侧重于从身体经验中吸取并反映身体经验的数据。该研究员以前的合作研究开创了可扩展数字方法在舞蹈历史领域的应用。这项新作品的重点是将数据驱动的研究适应舞蹈媒介，这是为了使这种更广泛的范式转变。内脏数据分析的新方法将为分析移动物体作为数据驱动的历史询问的主题的挑战提供一种跨学科的方法，这将进一步受益于所有领域，这些领域与保持身体的复杂性表示为数据。 “内在历史，视觉论证”将舞蹈研究，舞蹈技术，档案科学，博物馆，数字人文科学，批判数据研究，人类计算机互动，视觉交流和数据科学的艺术研究汇集在一起。该研究员将与合作组织和项目合作伙伴一起进行三个研究计划，包括探索数字创新的博物馆和档案馆（总部位于San-Francisco的舞蹈博物馆；位于德克萨斯州奥斯丁的Harry Ransom中心；德克萨斯州奥斯汀的Harry Ransom Center；全国范围佐治亚理工学院的环境实验室和社区舞蹈利益相关者（总部位于美国的Dunham Technique认证研究所）。在此过程中，该研究员将建立跨学科和层间对话者的国际同行网络，并通过指导和鼓舞创新的研究（包括下一代ECR中）来发展研究领导力。这些实质性知识交流将提供对技术领域知识和资源的访问权限，使同伴能够解决开发针对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，以及这些感觉如何以数字可视化的形式转化为可观的历史舞蹈数据，以数字可视化和沉浸式体验的形式，这些经验由编舞原则引导。内脏数据分析的未来研究。调查结果将通过编辑的论文集以及其他数字和印刷同行评审的出版物进行传播，包括数据集，一篇论文和一个研究博客，以及通过学术和文化行业的演讲和网络机会以及两个交互式数字设施。该研究员将受到内部导师的指导，他在戏剧历史上具有领先的数据驱动研究，专门从事艺术领导力的外部研究员以及由合作伙伴组织吸引的高级顾问的往绩记录。合作将为文化领域的项目合作伙伴提供影响的途径，以通过将基于舞蹈的技术创新知识居中，并使舞蹈的历史档案更容易获得更广泛的公众的访问，从而为文化领域的项目合作伙伴提供了开发和增强自己的实践和工作方式。