Zones of Data Translation: Understanding how social and cultural data are transformed into value

数据翻译领域:了解社会和文化数据如何转化为价值

基本信息

  • 批准号:
    AH/R008477/1
  • 负责人:
  • 金额:
    $ 9.82万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2018
  • 资助国家:
    英国
  • 起止时间:
    2018 至 无数据
  • 项目状态:
    已结题

项目摘要

Zones of Data Translation aims at further extending technological bridges of understanding between the university, community groups and members of the public via the workshop as method. This follow-on proposal builds directly on our previous AHRC grant, Our Data Ourselves (AH/L007770/1), wherein we examined ways of understanding and reclaiming the data that young people produce on smartphone devices. More specifically, we explored the growing usage and centrality of mobiles in the lives of young people between the ages of 14 and 18 years old, questioning what data-making possibilities exist if users can either uncover and/or capture what data controllers such as Facebook monetize and share about themselves with third-parties. These initial interventions into the enclosed processes of datafication were meant as a preliminary investigation into the possibilities that arise when young people are given back the data which they are normally structurally precluded from accessing. The challenges inherent in these uneven processes of datafication are shared both by researchers and the general public, particularly given the lack of democratic control or public awareness around the material processes that enable the capture and privatised use of our data. Because of this problematic, we see great potential in collaborating with and learning from the civically minded technology and data advocacy NGO, Tactical Tech Collective. Their mandate is to work with a broad range of publics to raise awareness about personal data, privacy and digital security. Together, we will extend our interdisciplinary methodological approach by sharing existing tools in order to co-design two new workshops. Sharing the MobileMiner Application and original infrastructure from the Our Data Ourselves grant will further enable us to engage new publics. To accomplish this goal we have five core activities animating our objectives:1) First, upon completion of our participation in the Glass Room in London, we will further collaborate with Tactical Tech and make available the MobileMiner application for both the future and long term impact of this original tool from the Our Data Ourselves grant. 2) Second, we will collaborate with Tactical Tech to produce two unique workshops, which will be trialled at two separate events-one with the Open Rights Group and the other at King's College London. 3) Third, to launch the workshop at King's College London, we will hold a symposium, bringing together academics and community practitioners who are practicing and theorising interdisciplinary methodological approaches to Big Data. 4) Fourth, Tactical Tech will profile one of our co-designed workshops at their 2018/19 Glass Room Event. 5) Fifth,we will produce an Impact Report that will address a general audience of NGOs in the field, drawing from the aforementioned activities and best practices. In working with the Tactical Tech Collective, we will ask the following questions as we develop our impact:- How is Tactical Tech already mobilising the workshop as an interdisciplinary tool to study the material environment of social big data? How can this then be harnessed by humanities researchers for greater impact and engagement?- How can we leverage the results of 'Our Data Ourselves' to engage new audiences beyond the classroom and the academic workshop?- How can the techno-cultural method inform the development of new collaborative spaces to facilitate innovative humanities research that can engage the general public, augmenting knowledge exchanges between experts and non-experts?
数据翻译专区旨在通过研讨会进一步扩大大学、社区团体和公众之间的技术理解桥梁。这个后续提案直接建立在我们之前的AHRC拨款,我们自己的数据(AH/L007770/1),其中我们研究了理解和回收年轻人在智能手机设备上产生的数据的方法。更具体地说,我们探讨了手机在14岁至18岁年轻人生活中日益增长的使用和中心地位,质疑如果用户能够发现和/或捕捉Facebook等数据控制者从中获利并与第三方分享自己的信息,那么数据生成的可能性是什么。这些对封闭的数据化过程的初步干预是为了初步调查当年轻人得到他们在结构上通常无法获得的数据时所产生的可能性。研究人员和公众都面临着这些不平衡的数据化过程所固有的挑战,特别是考虑到缺乏民主控制或公众对能够捕获和私有化使用我们数据的材料过程的认识。由于这个问题,我们看到了与具有公民意识的技术和数据倡导非政府组织Tactical Tech Collective合作和学习的巨大潜力。他们的任务是与广泛的公众合作,提高对个人数据、隐私和数字安全的认识。为了共同设计两个新的工作坊,我们将通过共享现有工具来扩展我们的跨学科方法。共享MobileMiner应用程序和原始基础设施将进一步使我们能够吸引新的公众。为了实现这一目标,我们有五项核心活动来推动我们的目标:1)首先,在完成我们在伦敦的玻璃室的参与后,我们将进一步与Tactical Tech合作,并从我们的数据自己补助金中提供MobileMiner应用程序,以实现这一原始工具的未来和长期影响。2)第二,我们将与Tactical Tech合作举办两个独特的研讨会,将在两个单独的活动中进行试验,一个是与开放权利组织合作,另一个是在伦敦国王学院。3)第三,为了在伦敦国王学院启动研讨会,我们将举办一个研讨会,汇集学者和社区从业者,他们正在实践和理论化跨学科的大数据方法。战术科技将在他们的2018/19玻璃室活动中介绍我们共同设计的一个研讨会。5)第五,我们将制作一份影响报告,向该领域的非政府组织的一般受众发表,借鉴上述活动和最佳实践。在与战术技术集体合作的过程中,我们将提出以下问题:战术技术如何将研讨会作为跨学科工具来研究社会大数据的物质环境?人文研究人员如何利用这一点来产生更大的影响和参与?-我们如何利用“我们自己的数据”的结果吸引课堂和学术研讨会以外的新受众?-科技文化方法如何为新的合作空间的发展提供信息,以促进创新的人文科学研究,使公众参与进来,增加专家与非专家之间的知识交流?

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Did you give permission? Datafication in the mobile ecosystem
  • DOI:
    10.1080/1369118x.2021.1877771
  • 发表时间:
    2021-02
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jennifer Pybus;Mark Coté
  • 通讯作者:
    Jennifer Pybus;Mark Coté
The Material Conditions of Platforms: Monopolization Through Decentralization
平台的物质条件:通过去中心化实现垄断
  • DOI:
    10.1177/2056305120971632
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Blanke T
  • 通讯作者:
    Blanke T
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Jennifer Pybus-Cote其他文献

Jennifer Pybus-Cote的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

相似国自然基金

Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
  • 批准号:
  • 批准年份:
    2024
  • 资助金额:
    万元
  • 项目类别:
    合作创新研究团队
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
  • 批准号:
  • 批准年份:
    2024
  • 资助金额:
    万元
  • 项目类别:
    外国青年学者研究基金项目
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
  • 批准年份:
    2020
  • 资助金额:
    40 万元
  • 项目类别:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 批准年份:
    2013
  • 资助金额:
    77.0 万元
  • 项目类别:
    面上项目
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data
  • 批准号:
    31070748
  • 批准年份:
    2010
  • 资助金额:
    34.0 万元
  • 项目类别:
    面上项目
高维数据的函数型数据(functional data)分析方法
  • 批准号:
    11001084
  • 批准年份:
    2010
  • 资助金额:
    16.0 万元
  • 项目类别:
    青年科学基金项目
染色体复制负调控因子datA在细胞周期中的作用
  • 批准号:
    31060015
  • 批准年份:
    2010
  • 资助金额:
    25.0 万元
  • 项目类别:
    地区科学基金项目
Computational Methods for Analyzing Toponome Data
  • 批准号:
    60601030
  • 批准年份:
    2006
  • 资助金额:
    17.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

I-Corps: Translation Potential of a Secure Data Platform Empowering Artificial Intelligence Assisted Digital Pathology
I-Corps:安全数据平台的翻译潜力,赋能人工智能辅助数字病理学
  • 批准号:
    2409130
  • 财政年份:
    2024
  • 资助金额:
    $ 9.82万
  • 项目类别:
    Standard Grant
CAREER: Data to Models (D2M), A Domain-Guided Translation of Sensor Data to Analytical Structural Models
职业:数据到模型 (D2M),传感器数据到分析结构模型的领域引导转换
  • 批准号:
    2340115
  • 财政年份:
    2024
  • 资助金额:
    $ 9.82万
  • 项目类别:
    Standard Grant
PREDICT (Precision Medicine, Education, Data Informatics and Community Translation) Institute
PREDICT(精准医学、教育、数据信息学和社区翻译)研究所
  • 批准号:
    10772765
  • 财政年份:
    2023
  • 资助金额:
    $ 9.82万
  • 项目类别:
Immuno-Oncology Translation Network: Data Management and Resource-Sharing Center at RPCI
免疫肿瘤学翻译网络:RPCI 的数据管理和资源共享中心
  • 批准号:
    10872397
  • 财政年份:
    2023
  • 资助金额:
    $ 9.82万
  • 项目类别:
Clinical Translation of a Genetic Diagnosis for Mental Health in Autism: Linking Genome Sequencing Data to Health Administrative Data
自闭症心理健康基因诊断的临床转化:将基因组测序数据与健康管理数据联系起来
  • 批准号:
    488020
  • 财政年份:
    2023
  • 资助金额:
    $ 9.82万
  • 项目类别:
    Operating Grants
Hospitals Sharing Patient Data and Biospecimens with Commercial Entities: Evidence-Based Translation to Improved Practice
医院与商业实体共享患者数据和生物样本:基于证据的翻译以改进实践
  • 批准号:
    10501505
  • 财政年份:
    2022
  • 资助金额:
    $ 9.82万
  • 项目类别:
Immuno-Oncology Translation Network: Data Management and Resource-Sharing Center at RPCI
免疫肿瘤学翻译网络:RPCI 的数据管理和资源共享中心
  • 批准号:
    10558158
  • 财政年份:
    2022
  • 资助金额:
    $ 9.82万
  • 项目类别:
Beyond parallel corpora: Enriching low-resource machine translation by leveraging language documentation data
超越并行语料库:利用语言文档数据丰富低资源机器翻译
  • 批准号:
    570119-2022
  • 财政年份:
    2022
  • 资助金额:
    $ 9.82万
  • 项目类别:
    Postgraduate Scholarships - Doctoral
Hospitals Sharing Patient Data and Biospecimens with Commercial Entities: Evidence-Based Translation to Improved Practice
医院与商业实体共享患者数据和生物样本:基于证据的翻译以改进实践
  • 批准号:
    10667651
  • 财政年份:
    2022
  • 资助金额:
    $ 9.82万
  • 项目类别:
HeartShare DeCODE-HF: Data translation center to Combine Omics, Deep phenotyping, and Electronic health records for Heart Failure subtypes and treatment targets
HeartShare DeCODE-HF:数据翻译中心,结合组学、深度表型分析和电子健康记录,了解心力衰竭亚型和治疗目标
  • 批准号:
    10678959
  • 财政年份:
    2021
  • 资助金额:
    $ 9.82万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了