scholarly journals Datatecture: Creating a real home for a virtual identity

2021 ◽  
Author(s):  
◽  
Scott Meekings
Keyword(s):  
Big Data ◽  
Built Environment ◽  
Efficient Method ◽  
Real World ◽  
Digital Environment ◽  
Digital Identity ◽  
Skill Sets ◽  
Digital Space ◽  
Virtual Identity ◽  
Near Future

<p>It is increasingly common to live in continual flux between reality and virtuality – for architecture this means a dwindling focus on the built environment. For the architectural discipline to respond to these rapidly changing user-demands, a proactive relationship with our digital environment is required. It is proposed that a key occupation of the architectural discipline in the near future will be designing architecture that caters to our ‘real-world’ selves but takes advantage of the broad range of data available to us from the digital realm. This thesis proposes that within the big data stored about all those who engage with the digital environment, lies data that can influence and benefit the architectural discipline and allow us to respond convincingly to the increasing focus on digital and virtual engagement.   As people increasingly ‘live online’ architects can now derive information about clients not only from meeting them in person but also by scraping data on their digital lives and constructing what is referred to in this thesis as a digital identity. The digital identity can include data about a myriad of architectural influences such as taste, activity and lifestyle.   This thesis considers which data may become available over the next decade, how architectural designers can embrace it without specialist data-centric skill-sets and how it may help personalise architecture. A large amount of data is collected on the author from both ‘real-world’ scenarios and ‘virtual’ inhabitation of digital space. This data, along with other public sources of data are explored in terms of architectural potential, culminating in a vision for a new data-based and ultimately more efficient method for personalising and inhabiting architecture.</p>

scholarly journals Datatecture: Creating a real home for a virtual identity

2021 ◽  
Author(s):  
◽  
Scott Meekings
Keyword(s):  
Big Data ◽  
Built Environment ◽  
Efficient Method ◽  
Real World ◽  
Digital Environment ◽  
Digital Identity ◽  
Skill Sets ◽  
Digital Space ◽  
Virtual Identity ◽  
Near Future

<p>It is increasingly common to live in continual flux between reality and virtuality – for architecture this means a dwindling focus on the built environment. For the architectural discipline to respond to these rapidly changing user-demands, a proactive relationship with our digital environment is required. It is proposed that a key occupation of the architectural discipline in the near future will be designing architecture that caters to our ‘real-world’ selves but takes advantage of the broad range of data available to us from the digital realm. This thesis proposes that within the big data stored about all those who engage with the digital environment, lies data that can influence and benefit the architectural discipline and allow us to respond convincingly to the increasing focus on digital and virtual engagement.   As people increasingly ‘live online’ architects can now derive information about clients not only from meeting them in person but also by scraping data on their digital lives and constructing what is referred to in this thesis as a digital identity. The digital identity can include data about a myriad of architectural influences such as taste, activity and lifestyle.   This thesis considers which data may become available over the next decade, how architectural designers can embrace it without specialist data-centric skill-sets and how it may help personalise architecture. A large amount of data is collected on the author from both ‘real-world’ scenarios and ‘virtual’ inhabitation of digital space. This data, along with other public sources of data are explored in terms of architectural potential, culminating in a vision for a new data-based and ultimately more efficient method for personalising and inhabiting architecture.</p>

Problems of Legal Regulation in the Digital Space Relations

2020 ◽  
Vol 2 (2) ◽  
pp. 126-147
Author(s):  
A. N. Vashchekin ◽  
◽  
A. V. Dzedzinsky ◽  
Keyword(s):  
Theoretical Basis ◽  
Legal Regulation ◽  
Digital Environment ◽  
International Treaties ◽  
Digital Rights ◽  
Digital Space ◽  
Legal Method ◽  
Balance Of Interests ◽  
Basic Concepts ◽  
The Right

Introduction. The era of digitalization sets for researchers the task of systematizing the essential features of digital space, identifying the essence of the “right to the Internet” and the legitimacy of limiting the digital rights of citizens. Theoretical Basis. Methods. The authors studied the peculiarities of the digital environment as a specific integral area of legal regulation, the doctrine and legislation of several countries on the topic which determines the basis for the regulation of digital space in Russia. The formal legal method, synthesis, analysis, induction and deduction were used as research methods. Results. The wording of the basic concepts in the area under study is proposed: digital space, digital region, digital platform, etc. The measures to eliminate “digital wells” are indicated. The main properties of the information space and its derivatives are considered. The effects of any contradictions in the legislation of the country are shown. Discussion and Conclusion. As the study showed, the latest innovations in the legislation contravene the principle of the balance of interests, fail to meet the requirements of observing the rights of a person and citizen, and contradict the Constitution and international treaties of Russia. When comparing these measures with their foreign counterparts, a search was made for their potential shortcomings and proposals were presented on possible directions for their correction, taking into account the particular characteristics of digital space.

scholarly journals Clinical efficacy of chloroquine derivatives in COVID-19 infection: comparative meta-analysis between the big data and the real world

2020 ◽  
Vol 38 ◽  
pp. 100709 ◽  
Author(s):  
M. Million ◽  
P. Gautret ◽  
P. Colson ◽  
Y. Roussel ◽  
G. Dubourg ◽  
...  
Keyword(s):  
Big Data ◽  
Clinical Efficacy ◽  
Real World ◽  
Meta Analysis ◽  
The Real

scholarly journals A Survey on Bias and Fairness in Machine Learning

2021 ◽  
Vol 54 (6) ◽  
pp. 1-35
Author(s):  
Ninareh Mehrabi ◽  
Fred Morstatter ◽  
Nripsuta Saxena ◽  
Kristina Lerman ◽  
Aram Galstyan
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Real World ◽  
State Of The Art ◽  
Future Directions ◽  
Discriminatory Behavior ◽  
Real World Applications ◽  
Near Future ◽  
Different Sources

With the widespread use of artificial intelligence (AI) systems and applications in our everyday lives, accounting for fairness has gained significant importance in designing and engineering of such systems. AI systems can be used in many sensitive environments to make important and life-changing decisions; thus, it is crucial to ensure that these decisions do not reflect discriminatory behavior toward certain groups or populations. More recently some work has been developed in traditional machine learning and deep learning that address such challenges in different subdomains. With the commercialization of these systems, researchers are becoming more aware of the biases that these applications can contain and are attempting to address them. In this survey, we investigated different real-world applications that have shown biases in various ways, and we listed different sources of biases that can affect AI applications. We then created a taxonomy for fairness definitions that machine learning researchers have defined to avoid the existing bias in AI systems. In addition to that, we examined different domains and subdomains in AI showing what researchers have observed with regard to unfair outcomes in the state-of-the-art methods and ways they have tried to address them. There are still many future directions and solutions that can be taken to mitigate the problem of bias in AI systems. We are hoping that this survey will motivate researchers to tackle these issues in the near future by observing existing work in their respective fields.

scholarly journals An efficient method for acquisition of spectral BRDFs in real-world scenarios

2021 ◽  
Author(s):  
Juan M. Jurado ◽  
J. Roberto Jiménez-Pérez ◽  
Luís Pádua ◽  
Francisco R. Feito ◽  
Joaquim J. Sousa
Keyword(s):  
Efficient Method ◽  
Real World

scholarly journals How to evaluate sustainability of supply chains? A dynamic network DEA approach

2017 ◽  
Vol 117 (9) ◽  
pp. 1866-1889 ◽  
Author(s):  
Vahid Shokri Kahi ◽  
Saeed Yousefi ◽  
Hadi Shabanpour ◽  
Reza Farzipoor Saen
Keyword(s):  
Big Data ◽  
Supply Chains ◽  
Real World ◽  
Performance Optimization ◽  
Network Dynamic ◽  
Network Dea ◽  
Content Type ◽  
Dea Model ◽  
Proposed Model ◽  
First Time

Purpose The purpose of this paper is to develop a novel network and dynamic data envelopment analysis (DEA) model for evaluating sustainability of supply chains. In the proposed model, all links can be considered in calculation of efficiency score. Design/methodology/approach A dynamic DEA model to evaluate sustainable supply chains in which networks have series structure is proposed. Nature of free links is defined and subsequently applied in calculating relative efficiency of supply chains. An additive network DEA model is developed to evaluate sustainability of supply chains in several periods. A case study demonstrates applicability of proposed approach. Findings This paper assists managers to identify inefficient supply chains and take proper remedial actions for performance optimization. Besides, overall efficiency scores of supply chains have less fluctuation. By utilizing the proposed model and determining dual-role factors, managers can plan their supply chains properly and more accurately. Research limitations/implications In real world, managers face with big data. Therefore, we need to develop an approach to deal with big data. Practical implications The proposed model offers useful managerial implications along with means for managers to monitor and measure efficiency of their production processes. The proposed model can be applied in real world problems in which decision makers are faced with multi-stage processes such as supply chains, production systems, etc. Originality/value For the first time, the authors present additive model of network-dynamic DEA. For the first time, the authors outline the links in a way that carry-overs of networks are connected in different periods and not in different stages.

Human Factors in Architecture: A View from the Field

1982 ◽  
Vol 26 (2) ◽  
pp. 203-203
Author(s):  
James A. Wise
Keyword(s):  
Built Environment ◽  
Human Factors ◽  
Case Studies ◽  
Real World ◽  
Architectural Design ◽  
Recent Case ◽  
Panel Session ◽  
Real World Problems

This is a panel session focused on the applications of Human Factors to real world problems in architectural design. Five representatives from various design & research professions will present recent case studies of theirs, and examine the contribution that Human Factors made to these projects. The diversity of their examples shows the usefulness and importance on integrating concerns for the human user into plans for the built environment.

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