scholarly journals Are the dead taking over Facebook? A Big Data approach to the future of death online

2019 ◽  
Vol 6 (1) ◽  
pp. 205395171984254 ◽  
Author(s):  
Carl J Öhman ◽  
David Watson
Keyword(s):  
Big Data ◽  
Digital Preservation ◽  
Multiple Stakeholders ◽  
Data Preservation ◽  
Political Risks ◽  
The Future ◽  
The Dead

We project the future accumulation of profiles belonging to deceased Facebook users. Our analysis suggests that a minimum of 1.4 billion users will pass away before 2100 if Facebook ceases to attract new users as of 2018. If the network continues expanding at current rates, however, this number will exceed 4.9 billion. In both cases, a majority of the profiles will belong to non-Western users. In discussing our findings, we draw on the emerging scholarship on digital preservation and stress the challenges arising from curating the profiles of the deceased. We argue that an exclusively commercial approach to data preservation poses important ethical and political risks that demand urgent consideration. We call for a scalable, sustainable, and dignified curation model that incorporates the interests of multiple stakeholders.

scholarly journals Digital preservation and access

2002 ◽  
Vol 5 (3) ◽  
pp. 343-366 ◽  
Author(s):  
Julian D. Richards
Keyword(s):  
Field Data ◽  
Digital Preservation ◽  
Digital Data ◽  
The Internet ◽  
Data Service ◽  
Data Preservation ◽  
Metadata Standards ◽  
The Future

There is a crisis in the publication and archiving of archaeological field data in Europe. Computerized data are more fragile than paper archives but also more accessible via the Internet. This article explores the role of the Archaeology Data Service and examines some of the issues raised by the collection of digital data and their dissemination online and the implications for the future of archaeological publication. It discusses approaches to digital data preservation, the development of archival standards and ways of encouraging reuse. It explores the development of distributed online catalogues and archives and the need for metadata standards for cataloguing resources. Finally, it considers the role of XML as an emergent technology and introduces the European ARENA project which is developing a digital preservation and access infrastructure.

Artistic Challenges within Control Societies: Big Data and Democratic Resistance

MedienJournal ◽  
2017 ◽  
Vol 38 (4) ◽  
pp. 50-61 ◽  
Author(s):  
Jan Jagodzinski
Keyword(s):  
Big Data ◽  
Gilles Deleuze ◽  
Data Archive ◽  
Current State ◽  
The Future ◽  
The Way

This paper will first briefly map out the shift from disciplinary to control societies (what I call designer capitalism, the idea of control comes from Gilles Deleuze) in relation to surveillance and mediation of life through screen cultures. The paper then shifts to the issues of digitalization in relation to big data that have the danger of continuing to close off life as zoë, that is life that is creative rather than captured via attention technologies through marketing techniques and surveillance. The last part of this paper then develops the way artists are able to resist the big data archive by turning the data in on itself to offer viewers and participants a glimpse of the current state of manipulating desire and maintaining copy right in order to keep the future closed rather than being potentially open.

Procurement Analytics: Enabling Data Architectures in the Age of Big Data

2020 ◽  
Author(s):  
Michael Goul ◽  
T. S. Raghu ◽  
Ziru Li
Keyword(s):  
Big Data ◽  
Academic Research ◽  
Research Literature ◽  
Structured Interviews ◽  
Data Space ◽  
Prescriptive Analytics ◽  
Data Architecture ◽  
The Future ◽  
High Level ◽  
Area Data

As procurement organizations increasingly move from a cost-and-efficiency emphasis to a profit-and-growth emphasis, flexible data architecture will become an integral part of a procurement analytics strategy. It is therefore imperative for procurement leaders to understand and address digitization trends in supply chains and to develop strategies to create robust data architecture and analytics strategies for the future. This chapter assesses and examines the ways companies can organize their procurement data architectures in the big data space to mitigate current limitations and to lay foundations for the discovery of new insights. It sets out to understand and define the levels of maturity in procurement organizations as they pertain to the capture, curation, exploitation, and management of procurement data. The chapter then develops a framework for articulating the value proposition of moving between maturity levels and examines what the future entails for companies with mature data architectures. In addition to surveying the practitioner and academic research literature on procurement data analytics, the chapter presents detailed and structured interviews with over fifteen procurement experts from companies around the globe. The chapter finds several important and useful strategies that have helped procurement organizations design strategic roadmaps for the development of robust data architectures. It then further identifies four archetype procurement area data architecture contexts. In addition, this chapter details exemplary high-level mature data architecture for each archetype and examines the critical assumptions underlying each one. Data architectures built for the future need a design approach that supports both descriptive and real-time, prescriptive analytics.

FEATURES

2015 ◽  
Vol 19 (10) ◽  
pp. 17-35 ◽  
Keyword(s):  
Big Data ◽  
Disease Management ◽  
Clinical Research ◽  
Health Informatics ◽  
Healthcare Management ◽  
Spatial Awareness ◽  
Digital Tool ◽  
Future Health ◽  
Research Sector ◽  
The Future

Amplifying Spatial Awareness via GIS — Tech which brings Healthcare Management, Preventative & Predictive Measures under the same Cloud When it is not just about size, you gotta' be Smart, too! Chew on It! How Singapore-based health informatics company MHC Asia Group crunches big-data to uncover your company's health Digital tool when well-used, it is Passion Carving the Digital Route to Wellness Big Data, Bigger Disease Management and Current preparations to manage the Future Health of Singaporeans A Conversation with Mr Arun Puri Extreme Networks: Health Solutions Big Data in Clinical Research Sector

Too small to be noticed? Children mummies reveal they stories

1970 ◽  
Vol 80 (1) ◽  
Author(s):  
Chryssi Bourbou
Keyword(s):  
Maternal Mortality ◽  
Human Development ◽  
Cultural Beliefs ◽  
Social Construct ◽  
Dead Child ◽  
Social Tensions ◽  
The Future ◽  
The Dead

The study of sub-adult remains, either skeletal or mummified, has been always a fairly neglected subject of bioarchaeology. Regarding mummified subadult remains, it mainly seems that fascinating stories (i.e., mountain sacrifice mummies) are usually discussed in detail. However, whilst childhood is a biological stage of human development, it is also a social construct and many past and present societies assign different values and meanings (i.e., cultural beliefs, social tensions) to the dead child. This presentation addresses the biocultural context of children mummies based on a meticulous survey of up-dated published reports. In addition, paleopathological observations are discussed, as well as the future need for systematic studies of subadult mummies (i.e., mortality patterns, maternal mortality).

scholarly journals The Old Greeks

2016 ◽  
Vol 22 (2) ◽  
Author(s):  
George Kouvaros
Keyword(s):  
Past History ◽  
The Past ◽  
Siegfried Kracauer ◽  
The Future ◽  
The Dead

In his final unfinished book on the writing of history, Siegfried Kracauer wonders about his increasing susceptibility to ‘the speechless plea of the dead’. ‘[T]he older one grows, the more he is bound to realize that his future is the future of the past—history.’ For the children of migrants, the question of how to speak well of the dead is distinguished by complex feelings of attachment and rejection, identification and denial that are expressed in a range of everyday interactions. ‘The Old Greeks’ examines the part played by photographic media in this process of memorialisation. It elaborates a series of propositions about the value of photographic media that are tested through a consideration of the events that surrounded the author’s first years in Australia.

scholarly journals SUPPORTING AIR TRANSPORT POLICIES USING BIG DATA ANALYTICS: A DESCRIPTIVE APPROACH BASED EMERGING TREND ANALYSIS

2017 ◽  
Vol 8 (1) ◽  
pp. 51-72
Author(s):  
Jin-seo Park
Keyword(s):  
Qualitative Research ◽  
Big Data ◽  
Text Mining ◽  
Research Methods ◽  
Qualitative Research Methods ◽  
Research Papers ◽  
Emerging Trends ◽  
The Future ◽  
Descriptive Approach ◽  
Core Issues

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.

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