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Digital Realism: Visualising the social through digital art practice

数字现实主义：通过数字艺术实践将社会可视化

基本信息

批准号：
AH/M002322/1
负责人：
Tom Corby
金额：
$ 8.18万
依托单位：
University of Westminster
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2014
资助国家：
英国
起止时间：
2014 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=AH%2FM002322%2F1
关键词：
Digital Realism Visualising social through

项目摘要

How can digital artists use the vast amounts of digital data we produce on a daily basis ('big data') to tell stories about ourselves and our lives? In an era when public issues of concern are increasingly framed, mirrored and played out as exchanges and circulations of data (e.g. via Twitter and Facebook), we are told that big data technologies promise fundamental changes in our ability to represent and understand human behaviour. These approaches offer distinctively new ways of capturing what we do through analysis of how we interact with the Internet's digital services and through the data traces we leave behind us in this process. Given enough computing power, argue advocates, the patterns revealed in these datasets have the potential to reveal solutions to some of our most pressing social, economic, political, and environmental issues. This research suggests that just as documentary forms arising from photography and film have historically sought to use technology to tell stories about our human lives, big data technologies may offer distinctively new ways to represent us through the ways they capture the data we produce through our everyday activities. We will produce prototype artworks in the form of visualisations, animations, large-scale static images and digital 3D models derived from social data sets. Current approaches in big data, focus on how it can be employed in a commercial setting by using data derived from social media for example, to target customers more effectively. Similar approaches in science research seek correlations in scientific data to better understand interactions in natural systems. However this proposed project will represent the patterns of human activity discovered in big data to tell stories about what we believe in, what we do and who we are. Visualisations are an effective way of doing this as they take abstract and difficult to understand information and turn it into image forms that make data comprehensible. As the world around us, and our activity within it, is increasingly marked by the data traces we leave behind, there exists a pressing need for the kinds of exploratory work this project proposes. Specifically research looks to find ways of bringing to attention aspects of the social overlooked in normative big data approaches. From a creative perspective there is scope to foreground the interpretive nature of big data, reflect upon what is missing in its coverage and find ways of depicting these absences. Research unites digital arts researchers from the University of Westminster with expertise in visualisation and digital arts practice with social geographers from the Oxford Internet Institute, Oxford University, whose research is concerned with how certain groups and communities are excluded from digital data sets.A project website will document research and act as a platform to publish artworks produced during the project which will be made freely available to the public. Similarly all computer code and wherever possible data sets will be released to the public and wider research community. A free conference open to the public that includes academics, digital artists and designers and other specialists will be held at project end to debate the consequences and benefits of research and discuss ways of taking work forward.

数字艺术家如何利用我们每天产生的大量数字数据（“大数据”）来讲述关于我们自己和我们生活的故事？在一个公众关注的问题越来越被框定、反映和发挥为数据交换和流通（例如通过Twitter和Facebook）的时代，我们被告知，大数据技术有望从根本上改变我们表达和理解人类行为的能力。这些方法提供了独特的新方法，通过分析我们如何与互联网的数字服务互动，以及通过我们在这个过程中留下的数据痕迹，来捕捉我们的行为。支持者认为，如果有足够的计算能力，这些数据集中揭示的模式有可能为我们一些最紧迫的社会、经济、政治和环境问题提供解决方案。这项研究表明，就像从摄影和电影中产生的纪录片形式在历史上试图利用技术来讲述我们人类生活的故事一样，大数据技术可能会通过捕捉我们日常活动产生的数据的方式，提供独特的新方式来表现我们。我们将以可视化、动画、大规模静态图像和源自社会数据集的数字3D模型的形式制作原型艺术品。当前的大数据研究方法侧重于如何将其应用于商业环境，例如通过使用来自社交媒体的数据，更有效地定位客户。在科学研究中，类似的方法寻求科学数据的相关性，以更好地理解自然系统中的相互作用。然而，这个拟议中的项目将代表在大数据中发现的人类活动模式，讲述我们相信什么、我们做什么以及我们是谁的故事。可视化是做到这一点的有效方法，因为它们将抽象和难以理解的信息转化为使数据易于理解的图像形式。随着我们周围的世界，以及我们在其中的活动，越来越多地被我们留下的数据痕迹所标记，迫切需要这个项目提出的各种探索性工作。具体来说，研究希望找到一些方法，让人们注意到规范性大数据方法中被忽视的社会方面。从创造性的角度来看，大数据的解释性是有前景的，反思其覆盖范围中缺失的内容，并找到描述这些缺失的方法。研究将威斯敏斯特大学的数字艺术研究人员与牛津大学牛津互联网研究所的社会地理学家联合起来，他们在可视化和数字艺术实践方面拥有专业知识，他们的研究关注的是某些群体和社区如何被排除在数字数据集之外。一个项目网站将记录研究，并作为发布项目期间产生的艺术品的平台，这些艺术品将免费向公众开放。同样，所有计算机代码和任何可能的数据集都将向公众和更广泛的研究界发布。在项目结束时，将举行一场免费的公众会议，包括学者、数字艺术家和设计师以及其他专家，讨论研究的后果和好处，并讨论推进工作的方法。