课题基金 / 基金详情

Our Data Ourselves

Our Data Ourselves
我们自己的数据
批准号:
AH/L007770/1
负责人:
Tobias Blanke
金额:
$33.98万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --
关键词:

项目摘要

项目成果

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中文摘要
翻译
总体而言,我们现在在两天内创建的数据比2002年全年都多。无论是每天在Facebook上分享的40亿条内容,还是2亿条推文,当我们在手机上发短信、浏览、发布或生成内容时,超过5B的人都会密集地产生前所未有的、难以理解的海量社交数据。我们称之为大社交数据(BSD),它包括我们生成的象征性内容以及手机发出的元数据,在时间和空间上跟踪我们的身体。最近关于NSA和GCHQ的爆料揭示了我们的社会已经变得多么以数据为中心。然而,你可以说,我们遭受着数据民主赤字的困扰。因此,公众对我们信息丰富的环境和我们量化的自我的理解比以往任何时候都更加重要。我们的研究项目“我们的数据,我们自己”寻求使BSD民主化。大数据已经被广泛认为是一个关键的经济驱动力。我们寻求将其转变为社区资产,并开发工具、应用程序、格式和实践,使艺术和人文研究人员能够对BSD进行重要的新研究并使用BSD。我们认为社区是通过社会和交流实践来表达的,这正是BSD的源泉。这些中介实践影响了传统社区,那些基于地点和身份的社区,并创建了新的社区,特别是与年轻人,那些出生在数字时代的社区。我们将作为共同研究人员与青年重新连线州网络中的青年程序员合作,并获得关于BSD表现出的中介连接性如何改变社区的特权洞察。我们将与年轻的合作研究人员合作,开发用于捕获、存储和分析BSD的工具和应用程序。我们将为BSD研究创造一个开放的环境,并制定一个可供社区广泛使用的数据共享道德框架。我们设想一个尊重隐私问题的BSD研究共享空间,并让年轻的精通技术的社区参与进来,以更好地了解移动环境中的数据密集型数字文化。我们的研究旨在探讨构成个人BSD档案的元素。这需要检查我们生成的符号内容和我们设备的元数据,这些元数据在时间和空间上映射我们的身体,以及在其中存储、搜索、共享、分析和挖掘数据的基础设施。这将有助于更好地理解我们正在向BSD发展并通过BSD发展的各种社会关系、信息共享和规范关系。一个主要挑战是开发和转让必要的技术技能和知识,以获取和分析不同形式的生物可持续发展,并将其转化为社区研究数据,供研究人员、创建者及其社区使用。提出的基本问题是,BSD能否转变为公共资产,成为文化和经济共同体发展的创造性资源。解决的基本问题是,我们不拥有我们生成的BSD。从我们点击“发送”的那一刻起,它就会在高度专有的环境中移动和处理,在这种环境中,我们仍然无法访问它,通常只以定向广告的形式返回。简而言之,我们寻求将专有和不可访问的BSD转化为开放的研究数据,从而成为可访问的社区资源。我们开发了一个免费可访问的、开源的在线市场,提供能够从智能手机中提取BSD的工具和应用程序。我们参与黑客马拉松来开发这些工具,并参与隐私问题,开发匿名化技术,并编制关于道德数据共享的政策白皮书。我们寻求将BSD,目前主要是定向广告和监控的素材,转变为可供创造性使用的社区资源。如果它是“我们自己的数据”,我们的BSD公有资源将使我们能够以新的方式使用它,无论是在社区中,还是在艺术和人文研究人员中。
英文摘要
Collectively, we now create more data in two days than we did in all of 2002. Whether it is the 4 B pieces of content shared daily on Facebook, the 200 M tweets, more than 5 B of us intensively produce unprecedented and unfathomable amounts of social data whenever we text, browse, post or generate content on our phones. We call this Big Social Data (BSD), and it entails the symbolic content we generate as will as the metadata our phones emit, tracking our bodies through time and space. Recent revelations about the NSA and GCHQ reveal just how data centric our society has become. Yet you could say we suffer from a data democracy deficit. As such, it is more important than ever that public understanding of our information-rich environment and our quantified selves improves.Our research project 'Our Data, Ourselves' seeks to democratise BSD. Big data has already been widely identified as a key economic driver. We seek to turn it into a community asset and develop tools, applications, formats and practices which will enable important new research on and using BSD by arts and humanities researchers. We see community as being articulated though social and communicative practices, the very wellspring of BSD. These mediated practices impact traditional communities, those based on place and identity, and create new communities, especially with young people, those 'born digital.'We will partner with youth coders in the Young Rewired State network as co-researchers, and gain privileged insight into how the mediated connectedness manifested by BSD is transforming communities. We will work with our young co-researchers to develop tools and applications for the capture, storage, and analysis of BSD. We will create an open environment for BSD research and develop an ethical framework for data sharing available for widespread community use. We envision a BSD research commons, respectful of privacy concerns, and engaging young tech-savvy communities to gain a greater understanding of the data-intensive digital culture of mobile environments.Our research aims to enquire into the elements comprising one's personal archive of BSD. This entails examining the symbolic content we generate and the metadata of our devices, which map our bodies in time and space, as well as the infrastructure, in which data is stored, searched, shared, analysed and mined. This will facilitate a better understanding of the kinds of social connections, information sharing, and normative relations we are developing to and through BSD. A major challenge is in the development and transfer of the technical skills and knowledge necessary for the capture and analysis of the different forms of BSD, and its transformation into community research data, available to researchers, those who generate it, and their communities. The basic issue raised is whether BSD can be transformed into a public asset and become a creative resource for cultural and economic community development. The basic problem addressed is that we do not own the BSD that we generate. From the moment we tap 'send' it moves and is processed in a highly proprietary environment where it remains inaccessible to us, typically returning only in the form of targeted ads. In short, we seek to transform proprietary and inaccessible BSD into open research data that becomes an accessible community resource.We develop a freely accessible, open source online market place for tools and applications enabling the extraction of BSD from smart phones. We engage in hackathons to develop these tools, and engage privacy concerns, developing anonymisation technologies and produce policy white papers on ethical data sharing. We seek to turn BSD, which is currently primarily fodder for targeted ads and surveillance into a community resource available for creative use. If it is 'our data ourselves', our BSD commons will empower us to use it in new ways, both in community and by arts and humanities researchers.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
Advancing Digital Humanities
推进数字人文
DOI: --
发表时间: 2014
期刊:
影响因子: --
作者: [Bode, K. and Arthur, P. L]
通讯作者: P. L
Insight workflow: Systematically combining human and computational methods to explore textual data
Insight 工作流程:系统地结合人类和计算方法来探索文本数据
DOI: 10.1002/asi.23767
发表时间: 2017
期刊: Journal of the Association for Information Science and Technology
影响因子: 3.5
作者: [Gill A]
通讯作者: Gill A
Hacking the social life of Big Data
侵入大数据的社交生活
DOI: 10.1177/2053951715616649
发表时间: 2015
期刊: Big Data & Society
影响因子: 8.5
作者: [Pybus J]
通讯作者: Pybus J
Mining mobile youth cultures
挖掘移动青年文化
DOI: 10.1109/bigdata.2014.7004447
发表时间: 2014
期刊:
影响因子: --
作者: [Blanke T]
通讯作者: Blanke T
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: