scholarly journals Introduction to Special Theme Veillance and transparency: A critical examination of mutual watching in the post-Snowden, Big Data era

2017 ◽  
Vol 4 (1) ◽  
pp. 205395171769899 ◽  
Author(s):  
Vian Bakir ◽  
Martina Feilzer ◽  
Andrew McStay

Introducing the Special Theme on Veillance and Transparency: A Critical Examination of Mutual Watching in the Post-Snowden, Big Data Era, this article presents a series of provocations and practices on veillance and transparency in the context of Big Data in a post-Snowden period. In introducing the theoretical and empirical research papers, artistic, activist and educational provocations and commentaries in this Special Theme, it highlights three central debates. Firstly, concerning theory/practice, it queries how useful theories of veillance and transparency are in explaining mutual watching in the post-Snowden, Big Data era. Secondly, it presents a range of questions concerning norms, ethics, regulation, resistance and social change around veillance and transparency. Thirdly, it interrogates the upsurge in veillance and transparency discourses and practices post-Snowden, and asks whether they are adequate to the task of educating and engaging people on abstract and secretive surveillance practices, as well as on the possibilities and pitfalls of sousveillance.

2017 ◽  
Vol 8 (1) ◽  
pp. 51-72
Author(s):  
Jin-seo Park

Qualitative research methods based on literature review or expert judgement have been used to find core issues, analyze emerging trends and discover promising areas for the future. Deriving results from large amounts of information under this approach is both costly and time consuming. Besides, there is a risk that the results may be influenced by the subjective opinion of experts. In order to make up for such weaknesses, the analysis paradigm for choosing future emerging trend is undergoing a shift toward mplementing qualitative research methods along with quantitative research methods like text mining in a mutually complementary manner. The hange used to implement recent studies is being witnessed in various areas such as the steel industry, the information and communications technology industry, the construction industry in architectural engineering and so on. This study focused on retrieving aviation-related core issues and the promising areas for the future from research papers pertaining to overall aviation areas through text mining method, which is one of the big data analysis techniques. This study has limitations in that its analysis for retrieving the aviation-related core issues and promising fields was restricted to research papers containing the keyword "aviation." However, it has significance in that it prepared a quantitative analysis model for continuously monitoring the derived core issues and emerging trends regarding the promising areas for the future in the aviation industry through the application of a big data-based descriptive approach.


2009 ◽  
pp. 95-122
Author(s):  
Letizia Carrera

- In the currently liquid and uncertain world, purchasing represents a dimension where individuals live the illusion of control over their own lives. Solidarity Purchasing Groups (or GAS, an Italian acronym for Gruppi di Acquisto Solidale) aree an attempt to reverse this model, and to build relationships not despite but through the market and purchasing. They choose products and producers on the basis of respect for the environment and solidarity between the members of the groups, traders, and producers. GAS aree rooted in a critical approach to today's global economic model and lifestyle of consumerism; individuals that feel the unfairness in this model and who aree searching for a practical alternative can find reciprocal aid and advice by joining solidarity purchasing groups. They aree a catalyst of political and social change. Empirical research, which completes these reflections, points out two very different ways to live this experience: "health cares" ("salutisti") and "critical protester" ("contestatori critici"). Only the second one is characterized by a strong, albeit scarcely perceptible, political impact.Keywords: Solidarity Purchasing Groups, Purchase, Market, Civicness, Political Participation.


Author(s):  
Miguel A. Sánchez-Acevedo ◽  
Zaydi A. Acosta-Chí ◽  
Beatriz A. Sabino-Moxo ◽  
José A. Márquez-Domínguez ◽  
Rosa M. Canton-Croda

In the healthcare field, plenty of clinical data is generated every day from patient records, surveys, research papers, medical devices, among others sources. These data can be exploited to discover new insights about health issues. For helping decision makers and healthcare data managers, a survey of research works and tools covering the process of handling big data in the healthcare field is included. A methodology for CVD prevention, detection and management through the use of tools for big data analysis is proposed. Also, it is important to maintain privacy of patients when handling healthcare data; therefore, a list of recommendations for maintaining privacy when handling healthcare data is presented. Specific clinical analysis are recommended on those regions where the incidence rate of CVD is high, but a weak relation with the common risk factors is observed according to historical data. Finally, challenges which need to be addressed are presented.


2018 ◽  
Vol 47 (3) ◽  
pp. 435-456 ◽  
Author(s):  
Dorte Lønsmann ◽  
Janus Mortensen

AbstractThe article examines the introduction of English as a corporate language in a Danish consultancy company from a critical angle. Based on analyses of language policy documents and interviews with language policy makers in the company, we investigate the underlying assumptions of the policy-making process, and explore how the language policy functions as a means of exerting power beyond the domain of language. The article shows how the language policy is heavily influenced by the language ideology of English as the natural language in global business as well as by neoliberal ideals of international expansion. Drawing on the notion of language commodification, the article investigates how the language policy reconfigures the social space of the organisation. The analysis shows that while the language policy aims to change the company culture towards a more ‘global mindset’, it also effects social change by legitimising certain types of employees while marginalising others. (Language policy, social change, English as a corporate language, language ideologies, linguistic market, language commodification)*


2018 ◽  
Vol 72 (3) ◽  
pp. 881-908
Author(s):  
Jonas Roellin

Abstract In this paper, I argue that both concepts of “youth” (arabic “šabāb”) and “generation” (arabic “ğīl”) are in different ways misleading and problematic when applied in empirical research on Tunisians of lower age. While they are not affirmatively used and partly even rejected by the latter, they also appear inadequate when employed as analytical categories. Instead, as I will suggest, (historical) “age cohort” is an adequate reference category that can be qualitatively described according to the shared perceptions and actions of its respective members. Thereby, the focus on self-concepts and self-narratives appears to be particularly helpful in understanding the contemporary condition of Tunisians of lower age and their social mobilization practices. It reveals, among other findings, that their movements are not primarily directed at political and social change, though conventionally assumed, but rather express a search for greater possibilities of mobility and autonomy beyond both state and societal boundaries.


2014 ◽  
Vol 548-549 ◽  
pp. 1510-1523
Author(s):  
Ran An ◽  
Jing Zhi Guo

This research is to show that functions are the indispensable elements for e-marketplace construction, and that basic functions in particular are able to meet the demand for highly interoperable and cost-effective e-marketplaces. Specifically, this research relies heavily on historical literature event methodology by studying existing electronic marketplaces through thousands of research papers, ranging among 1,221 articles published in journals and conferences over the period of 1986-2012. Based on the basic functions generated from the function published year and the function counted quantity, this research eventually shows that e-marketplace designers, facilitators, buyers, and sellers will be able to construct and select a suitable e-marketplace automatically for their diverse purposes.


2020 ◽  
Vol 24 (4) ◽  
pp. 310-322
Author(s):  
Jane Blanken-Webb

This paper investigates the intersection of big data and philosophy of education by considering big data’s potential for addressing learning via a holistic process of coming-to-know. Learning, in this sense, cannot be reduced to the difference between a pre- and post-test, for example, as it is constituted at least as much by qualities of experience as it is the situation, process of inquiry and its consequences. Long a perennial concern of philosophers of education, the author suggests that big data offers a budding opportunity for philosophers to engage in dialogue with empirical research in order to better understand the process of learning as coming-to-know. Drawing on John Dewey’s theory of inquiry and his philosophy of experience, the author demonstrates ways that both empirical and philosophical research stands to benefit from cross-dialogue. In offering an unprecedented glimpse of empirical detail, the author proposes that big data stands to afford new insights into this most complex human process and that Dewey’s philosophy offers a vital lens of interpretation that can help philosophers of education to make use of this data in addressing the perennial question of how humans come-to-know.


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