scholarly journals Producing Generative Digital Data Objects: An Empirical Study on COVID-19 Data Flows in Online Communities

2022 ◽  
Author(s):  
Caroline Blotenberg ◽  
Arthur Kari ◽  
Björn Kral ◽  
Philipp Nuernberger ◽  
Hannes Rothe
Keyword(s):  
Empirical Study ◽  
Online Communities ◽  
Digital Data ◽  
Data Flows ◽  
Data Objects

Governance by Data

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Fleur Johns
Keyword(s):  
Social Science ◽  
Digital Data ◽  
Annual Review ◽  
Publication Date ◽  
Time Data ◽  
Data Repositories ◽  
Data Flows ◽  
Hybrid Data ◽  
State Governance ◽  
Digital Objects

Law and social science scholars have long elucidated ways of governing built around state governance of populations and subjects. Yet many are now grappling with the growing prevalence of practices of governance that depart, to varying degrees, from received models. The profusion of digital data, and the deployment of machine learning in its analysis, are redirecting states’ and international organizations’ attention away from the governance of populations as such and toward the amassing, analysis, and mobilization of hybrid data repositories and real-time data flows for governance. Much of this work does not depend on state data sources or on conventional statistical models. The subjectivities nurtured by these techniques of governance are frequently not those of choosing individuals. Digital objects and mediators are increasingly prevalent at all scales. This article surveys how scholars are beginning to understand the nascent political technologies associated with this shift toward governance by data. Expected final online publication date for the Annual Review of Law and Social Science, Volume 17 is October 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Towards a Framework for Web 2.0 Community Success

2013 ◽  
pp. 85-98
Author(s):  
Joshua Chang ◽  
Clifford Lewis
Keyword(s):  
Content Analysis ◽  
Grounded Theory ◽  
Empirical Study ◽  
Web 2.0 ◽  
Online Communities ◽  
External Factors ◽  
Dual Approach ◽  
Video Sharing ◽  
Internal And External Factors

Although ample research has been conducted on the topic of community, there is still much research to be done on online communities. More specifically, there is a paucity of research on the topic of building successful Web 2.0 communities like YouTube—the top ranked Web 2.0 video sharing website. In this paper, a framework for Web 2.0 community success is proposed based on a theoretical review and an empirical study of YouTube using a dual approach consisting of content analysis and grounded theory interviews. The findings identify specific internal and external factors that are important for the success of YouTube as a Web 2.0 community. A framework of Web 2.0 community success is also proposed, which is useful in the planning and administration of Web 2.0 Communities.

Digital Transformation

2020 ◽  
pp. 1-18
Author(s):  
Henri Schildt
Keyword(s):  
Language Processing ◽  
Digital Transformation ◽  
Digital Data ◽  
Generative Adversarial Networks ◽  
Adversarial Networks ◽  
Geographic Boundaries ◽  
Technological Advances ◽  
Data Flows ◽  
Speed Up ◽  
Systematic Shift

The introductory chapter to the book The Data Imperative examines how technological advances together with a new managerial mindset are driving digital transformation. While early business information systems were often self-contained and designed to solve specific problems, contemporary systems are highly interconnected and integrated. Corporations can use data flows to coordinate diverse processes and activities across organizational and geographic boundaries. The chapter explains how digital transformation involves a systematic shift from predominant reliance on human knowledge and skills to digital data flows and smart algorithms. Artificial intelligence techniques, such as generative adversarial networks and advanced natural language processing, and 5G wireless technologies create new opportunities to replace human routines with algorithmic processing. Data will continue to break down organizational silos, enable deeper collaboration across company boundaries, and speed up the development of new services.

Data-Objects

2013 ◽  
pp. 14-26
Author(s):  
Ian Gwilt
Keyword(s):  
Three Dimensional ◽  
Physical Object ◽  
Digital Data ◽  
Data Sets ◽  
Crime Statistics ◽  
Digital Information ◽  
Physical Form ◽  
Current Shift ◽  
Data Objects ◽  
A Current

This chapter discusses a current shift away from thinking about ideas of virtual reality, towards a conversation around hybrid digital/physical constructs and the notions of mixed or augmented reality. In particular the chapter explores how physical artifacts that are based on data extracted from computer generated virtual spaces are being created as a way of challenging how we read, interpret, and respond to digital information. This emerging trend for the realization of data sets into three-dimensional (3D) physical objects is discussed from the perspective of creative practice and digital information visualization. In these new constructs, digital data sets are concretized into a physical form, remediated from information sources, such as mobile phone coverage records, crime statistics, and temperature patterns. Through a series of examples, the chapter will investigate how these tangible translations can change our relationship to screen-based digital content, in particular statistical data, and seeks to reveal how by encoding digital information into a physical object we can establish a way of reading this data through spatial, temporal, and material variations that sit outside of the computer-monitor and the digital environment. Rapid prototyping making techniques are discussed as a trigger for a conversation around the ontological and epistemological readings of these liminal physical/data objects.

scholarly journals Surveillance Entanglements: Digital Data Flows and Ageing Bodies in Motion in the Danish Welfare State

2019 ◽  
Vol 40 (2) ◽  
pp. 10-22
Author(s):  
Nete Schwennesen
Keyword(s):  
Data Collection ◽  
Welfare State ◽  
The Elderly ◽  
The Body ◽  
Digital Data ◽  
Specific Process ◽  
Rehabilitation Programs ◽  
Data Flows ◽  
Aging Body ◽  
Monitoring And Surveillance

In recent years, new forms of self-tracking technologies, advanced algorithms and quantified measurements have increasingly become part of interventions targeting the physical improvement of elderly bodies. This has led authors to argue that the latter are not just ‘busy’ bodies (Katz 2000) but ‘busier and smarter bodies,’ as well as being nodes for data collection, monitoring and surveillance designed to promote physical functioning (Katz and Marshall 2018). The article qualifies the argument by examining concrete encounters in which frail elderly bodies are made to move and transform in digital rehabilitation programs in the Danish welfare state. The study mobilizes Bennett’s (2009) notion of the ‘vitality of materiality’ as an analytic lens, thus highlighting the agentic capacities of technologies and the fleshy-sensual, lively force of the body itself. Drawing on ethnographic material, the article traces how movement is impacted by the links and forces generated by a specific digital rehabilitation assemblage. This emphasizes the fluidity of relational connections between bodies and digital dataflows, meanwhile demonstrating that the vital force of the aging body is expressed through sensory pain when the temporality of the metrics and the rate of bodily recovery are out of alignment. In contrast to studies focusing on surveillance as a pre-given disciplining force, the vital materialism approach invites us to think about surveillance as a vibrant, open-ended and temporally specific process whose outcome is not predetermined. Finally, it is argued that, to develop processes leading to bodily restoration rather than disruption, greater attention to sensory expression is needed – among professionals, IT workers and the elderly alike – combined with a willingness to adjust the assemblage continually to align metrics with rates of bodily recovery.

scholarly journals A Digital Data Exchange for Australia

2021 ◽  
Author(s):  
Thomas Hardjono
Keyword(s):  
Data Exchange ◽  
Relevant Information ◽  
Digital Data ◽  
Individual Data ◽  
Timely Manner ◽  
Raw Data ◽  
Data Objects ◽  
Access To Data ◽  
Authorized Access

It is time for Australia to contemplate the development for a digital marketplace data & insights that permit relevant information to be obtained by relevant parties in a timely manner, all the time preserving the privacy of individual data-subjects. The Data Exchange is a technological representation and implementation of the data & insights marketplace. The data traders entities supply and purchase data & insights from the marketplace platform. The data trader entities can be organizations, collectives, data cooperatives or individuals. The data trader parties obtain authorized access to data objects in a protected manner, where data objects include: raw data, references to data, collated data and reports, metadata and insights.

Why users contribute knowledge to online communities: An empirical study of an online social Q&A community

2015 ◽  
Vol 52 (7) ◽  
pp. 840-849 ◽  
Author(s):  
Jiahua Jin ◽  
Yijun Li ◽  
Xiaojia Zhong ◽  
Li Zhai
Keyword(s):  
Empirical Study ◽  
Online Communities
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