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
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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: