“数据权力”国际学术研讨会
发布时间: 2015-01-19   浏览次数: 40

会议名称(中文)

数据权力国际学术研讨会

会议名称(英文)


所属学科:

计算机应用技术,新闻传播学

开始日期:

2015-06-22

结束日期:

2015-06-25

所在国家:

英国

所在城市:

英国

具体地点:

谢菲尔德大学

主办单位:

谢菲尔德大学

协办单位:


承办单位:


议题:


[ 组织结构 ]

会议主席:


组织委员会主席:


程序委员会主席:


会议嘉宾:

姓名

职务

简介

演讲题目

[ 重要日期 ]


[ 会务组联系方式 ]

联系人:


联系电话:

0114 2226488

传真:


E-MAIL

h.kennedy@sheffield.ac.uk

通讯地址:


邮政编码:


会议注册费:


会议网站:

http://chinamediaresearch.cn/news.php?id=2716

会议背景介绍:

Data make many promises. Through data, we can access opinions, feelings, behaviours, people, in real time, at great volume and at great speed. Tracking data is the holy grail. Data have the potential to transform all aspects of society, making all of its operations more efficient. Big data represent opportunities for social researchers to enhance understanding of human behaviour. The numbers speak for themselves.


But what is the cost of the data delirium (van Zoonen)? What kind of power is enacted when data are employed by governments and security agencies to monitor populations or by private corporations to accumulate knowledge about consumers in an increasingly ‘knowing capitalism’ (Thrift)? Because contemporary forms of data mining and analytics open up the potential for new, unaccountable and opaque forms of population management in a growing range of social realms, questions urgently need to be asked not only about who gets access to data and whose privacy is invaded, but also about control, discrimination, and social sorting – about data power. We also need to ask about the possibility of agency in the face of data power, of social groups sidestepping the dominating interests of big business and big government in our increasingly big-data-driven world.

征文范围及要求:

Papers are invited on the following – and other relevant – topics:


* The political economy of data

* Data cultures (data and the cultural industries, data journalism)

* Data and the production of subjectivity and identity

* Theorising data

* The politics of data visualisation

* Data labour

* Emotional data

* The social life of data and data-driven methods

* The politics of open and linked data

* Data-driven governance, surveillance and control

* Data and discrimination

* The regulation of data mining

* Data citizens

* Resistance, agency, appropriation.

会议视频:


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