课题基金 / 基金详情

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

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
批准号:
AH/W005034/1
负责人:
Kate Elswit
金额:
$31.05万
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

项目摘要

项目成果

Kate Elswit的其他基金

相似基金

相关文献

中文摘要
翻译
虽然舞者和舞蹈学者将动作和手势理解为知识产生的场所,但舞蹈史领域一直不愿采用数据驱动的分析方法,这种方法被认为是非物质化和还原的。基于舞蹈学术的特定需求,《内脏历史,视觉论据》从基于舞蹈的知识实践的角度,结合新兴的数字技术和技术,旨在开发一种明确地专注于从身体经验中提取和反映的数据的“内脏数据分析”方法。该研究员之前的合作研究率先将可扩展的数字方法应用于舞蹈史领域;这项新工作侧重于将数据驱动的研究适应于舞蹈媒介,从而使这种更广泛的范式转变成为可能。内脏数据分析的新方法将提供一种跨学科的方法,以应对将运动物体作为数据驱动的历史查询的对象进行分析的挑战,这将进一步有利于所有努力保持物体以数据表示时的复杂性的领域。《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、档案学、博物馆学、数字人文、关键数据研究、人机交互、视觉交流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一起参与一个分三个阶段的研究计划,包括探索数字创新的博物馆和档案馆(旧金山的舞蹈博物馆;德克萨斯州奥斯汀的哈里·兰瑟姆中心;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(俄亥俄州立大学高级计算艺术和设计中心和佐治亚理工学院增强环境实验室),以及社区舞蹈利益相关者(总部设在美国的邓纳姆技术认证研究所)。在这一过程中,该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,包括在下一代ECR中,发展研究领导地位。这些实质性的知识交流将提供获取技术领域知识和资源的途径,使研究员能够解决为舞蹈媒介量身定做的以数据为导向的分析方法所面临的概念和技术挑战。合作者将受益于对内脏数据质量维度的新见解,包括这些数据可能是什么感觉,以及这些感觉如何以数字可视化和身临其境的体验的形式转化为历史舞蹈数据的明显视觉论点,由编舞原则指导。研究员将召开双月一次的内脏数据讨论小组,以建立一个跨学科的实践社区和共享词汇,并最终确定内脏数据分析的未来研究轨迹。调查结果将通过编辑后的论文集和其他经同行评议的数字和印刷出版物传播,包括一个数据集、一篇论文和一个研究博客,并通过学术和文化产业介绍和联网机会,以及两个互动数字装置。这位研究员将由一名在戏剧史上拥有领先数据驱动研究记录的内部导师、一名专门研究艺术领导力的外部CLORE导师以及来自合作伙伴组织的高级顾问进行指导。合作将为文化部门的项目伙伴提供产生影响的途径,通过将以舞蹈为基础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,来发展和改进他们自己的做法和工作方式。
英文摘要
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.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Visceral Histories, Visual Arguments Blog
本能历史、视觉论证博客
DOI: --
发表时间: 2022
期刊:
影响因子: --
作者: [Kate Elswit]
通讯作者: Kate Elswit
Open Access Block Award 2022 - Royal Central Sch of Speech and Drama
Dunham's Data: Katherine Dunham and Digital Methods for Dance Historical Inquiry
海外基金