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Estimating challenges in the Digital era
Published in Rick Best, Jim Meikle, Describing Construction, 2023
Pat O’Donnell, Inna Kolyshkina
It is important, at the outset, to clarify the meaning of the two key terms in the title of this chapter. Dictionary.com (2021) offers the following definitions for the verb estimate: roughly calculate or judge the value, number, quantity, or extent of …to form an approximate judgment or opinion regarding the worth, amount, size, weight, etc., ofcalculate approximatelyto estimate the cost of …to form an opinion of; judge. The Digital Era, otherwise referred to as the Information Age, is a historic period in the 21st century characterised by the rapid shift from traditional industry that the Industrial Revolution brought through industrialisation, to an economy based on information technology. Shepherd (2004: 1) states that it is characterised ‘by technology which increases the speed and breadth of knowledge turnover within the economy and society’. Rogers (2017) suggests that, in the digital era, growth is about more than technology, and that ‘to bring a legacy business into the digital era, managers need to unlearn all the old rules.’
Conclusion
Published in Peter N. Nemetz, Unsustainable World, 2022
The emergence of the information age has also had a profound impact on our economic systems, creating a much more efficient system of production, communication, and trade. Questions have been raised however, about the proposed shift from the paperless office to electronic records. Global production of paper and cardboard has continued to rise despite the technological revolution of digital storage (FAO 2020). As for the predicted savings in energy associated with production of paper, this has been at least partially offset by the enormous energy requirements associated with data storage. It has been reported that the internet will use a fifth of all the world’s electricity by 2025, but technological advances may significantly reduce this percentage in the future through increased efficiency and conversion to renewable power sources. Despite the promise of technology, questions remain as to whether technology advances will be fast enough to offset the world’s increased demands for material throughput, and if such developments will entail revenge effects that offset any benefits the technology might offer.
Functional Architecture Designs for Knowledge Preservation and Conservation
Published in Denise Bedford, Knowledge Architectures, 2020
Fast forward to the information age where we have a proliferation of knowledge assets, increased literacy levels, increased resources to acquire, and consume information and knowledge. The rapid advance of technology further accelerates these trends and turns everyone into a knowledge producer and a knowledge consumer. Collections of knowledge assets are commonplace, and the value of knowledge assets increases. By the mid-20th century, however, archivists increasingly focused on preserving original documents that were deteriorating. Archivists adopted many of the techniques for the conservation of individual documents set forth by organizations, among them deacidification and lamination, a process later found to be damaging. In the mid-1960s, the acid-free box was developed, with partial support from the Council on Library Resources (CLR).
Design of comb-shaped single-electron slime mold circuit and its application to traveling salesman problem
Published in International Journal of Parallel, Emergent and Distributed Systems, 2022
Because the amount of information exchanged in this Information Age increases yearly, highly efficient information processing devices are required to handle it. Nanotechnology has advanced, resulting in the development of nano-scaled devices (e.g. tunneling field effect transistors [1, 2], single-dopant devices [3], single molecule devices [4, 5], and other useful devices [6–9]). In this study, we focus on single-electron (SE) devices [10]. SE devices can control individual electrons by harnessing a quantum effect (Coulomb blockade effect [10]), and they have key advantages such as parallel processing [11] and stochastic operation. However, although many applications based on SE devices have been proposed [12–15], a suitable information processing method needs to be developed for the circuits of these devices.
Online Privacy Breaches, Offline Consequences: Construction and Validation of the Concerns with the Protection of Informational Privacy Scale
Published in International Journal of Human–Computer Interaction, 2020
Eric Durnell, Karynna Okabe-Miyamoto, Ryan T. Howell, Martin Zizi
Over 30 years ago, Mason (1986) voiced ethical concerns over the protection of informational privacy, or “the ability of the individual to personally control information about one’s self” (Stone et al., 1983), calling it one of the four ethical issues of the information age. Since the 1980s, scholars have remained concerned about informational privacy, especially given that trillions of gigabytes of data are collected online (Beke et al., 2018). Every minute in 2019, Americans used an estimated 4,416,720 GB of Internet data and users performed 4,497,420 Google searches (Domo, 2019). Given the staggering amount of private information shared online, much of the research on informational privacy, not surprisingly, focuses on the Internet. However, when data are mishandled online, the consequences of privacy breaches extend beyond the online environment. In essence, invasions of online privacy jeopardize offline privacy, as one cannot protect their offline privacy if their online privacy is not protected.
Leveraging industrial statistics in the data revolution: The Youden Memorial Address at the 63rd Annual Fall Technical Conference
Published in Quality Engineering, 2019
Economists generally agree that the Information Age began around the last quarter of the 20th century when the manipulation and storage of data by computers and networks became easily accessible. Just like the Machine Age followed the Industrial Revolution, the Information Age is accompanied by the Data Revolution. I choose this title carefully, noting that data are not information. Before our eyes, we are watching as the businesses and industries that most efficiently transform data into meaningful information are emerging as the leaders.