Data Science and Advanced Digital Technologies

2018 ◽  
pp. 3-7 ◽  
Author(s):  
Gintautas Dzemyda
Keyword(s):  
Data Science ◽  
Digital Technologies

When Digital Technologies Enable and Threaten Occupational Identity: The Delicate Balancing Act of Data Scientists

MIS Quarterly ◽  
2021 ◽  
Vol 45 (3) ◽  
pp. 1087-1112
Author(s):  
Emmanuelle Vaast ◽  
Alain Pinsonneault ◽  
◽  
Keyword(s):  
Online Community ◽  
Data Science ◽  
Critical Case ◽  
Digital Technologies ◽  
Identity Work ◽  
Occupational Identity ◽  
Dialectical Process ◽  
Optimal Distinctiveness ◽  
Critical Case Study

Occupations are increasingly embedded with and affected by digital technologies. These technologies both enable and threaten occupational identity and create two important tensions: they make the persistence of an occupation possible while also potentially rendering it obsolete, and they magnify both the similarity and distinctiveness of occupations with regard to other occupations. Based on the critical case study of an online community dedicated to data science, we investigate longitudinally how data scientists address the two tensions of occupational identity associated with digital technologies and reach transient syntheses in terms of “optimal distinctiveness” and “persistent extinction.” We propose that identity work associated with digital technologies follows a composite life-cycle and dialectical process. We explain that people constantly need to adjust and redefine their occupational identity, i.e., how they define who they are and what they do. We contribute to scholarship on digital technologies and identity work by illuminating how people deal in an ongoing manner with digital technologies that simultaneously enable and threaten their occupational identity.

Contributions of Information Science in the Data Science Era

2021 ◽  
pp. 45-64
Author(s):  
Rogério Aparecido Sá Ramalho ◽  
Ricardo César Gonçalves Sant'Ana ◽  
Francisco Carlos Paletta
Keyword(s):  
Life Cycle ◽  
Data Science ◽  
Information Science ◽  
Theoretical Study ◽  
Digital Technologies ◽  
Data Access ◽  
New Challenges ◽  
Object Of Study ◽  
Access To Data ◽  
The Relationship

The acceleration of the development of digital technologies and the increase of the capillarity of their effects present new challenges to the praxis related to the treatment and informational flows and those that are object of study of information science. This chapter is based on a theoretical study that analyzes information science contributions in the data science era, analyzing from the Cynefin Framework to the new contemporary informational demands generated by the increasing predominance of data access and use. In order to establish the relationship between the skills expected from the information science professional and its relationship with access to data, the Cynefin Framework was used as a basis to establish a perspective of analyzing the skills involved in each of the phases of the life cycle of the data.

scholarly journals Review of Digitize and Punish: Racial Criminalization in the Digital Age by Brian Jefferson (University of Minnesota Press)

Lateral ◽  
2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Anastasia Kārkliņa
Keyword(s):  
New York ◽  
New York City ◽  
Digital Technology ◽  
Data Science ◽  
Digital Technologies ◽  
War On Drugs ◽  
University Of Minnesota ◽  
The Public ◽  
The Us ◽  
Drugs And Crime

In Digitize and Punish, Brian Jefferson argues that the US policing and incarceration infrastructure is increasingly marked by new forms of racialized digital criminalization. Examining the incorporation of digital technologies into the criminal justice apparatus, Jefferson shows the central role that digital technology and data science has had in reinforcing racial surveillance practices since the War on Drugs and Crime began more than four decades ago. Jefferson’s timely new book traces the merging of carcerality and technology in Chicago and New York City, unveiling forms of digital racial management that have remained largely obscured from the public.

scholarly journals Models and methods of digital mechanisms in anti-corruption, their advantages and disadvantages, and applications

2022 ◽  
Vol 1216 (1) ◽  
pp. 012015
Author(s):  
A Nurkey ◽  
A Mukasheva ◽  
D Yedilkhan
Keyword(s):  
Developing Countries ◽  
Comparative Analysis ◽  
Time Scales ◽  
Data Science ◽  
Predictive Analytics ◽  
Digital Technologies ◽  
Modern Society ◽  
Priority Areas ◽  
Advantages And Disadvantages ◽  
Complete Study

Abstract Corruption is one of the main problems in many developing countries. However, the complexity of measuring corruption and its consequences does not allow for its complete study and implementation of measures. The factors and indicators currently known worldwide cannot measure corruption on time scales and depend on a narrow circle of experts in this area. Thus, corruption is easily confused with institutional gaps. In modern society, where the technologies such as Data Science and Predictive Analytics play a huge role, corruption is still omnipresent. The article examines the priority areas of combating corruption using new digital technologies. The main direction of the article is defined as an analysis of the advantages and disadvantages of the digitalization in the areas of solving social conflicts. The article presents the comparative analysis of technologies of digital anti-corruption compliance in developing countries, on the example of Kazakhstan. At the same time, according to the results, the article discusses the disadvantages of using proposed models due to the peculiarities of the legislation.

Studying Networked Communication in the Middle East

2018 ◽  
pp. 415-436
Author(s):  
Javier Borge-Holthoefer ◽  
Muzammil M. Hussain ◽  
Ingmar Weber
Keyword(s):  
Middle East ◽  
Digital Media ◽  
North Africa ◽  
Data Science ◽  
Digital Technologies ◽  
Computational Social Science ◽  
Digital Networks ◽  
Social Scientists ◽  
Civil Unrest ◽  
The Social

Digital infrastructure has been rapidly embraced in the Arab Middle East and North Africa in the last decade, opening a unique window for computational social science and network data science scholars. However, there are currently two coexisting social and economic realities in the region, which result in very different usages and dynamics of networked communication: countries with chronic civil unrest in which digital media have largely served as mobilization tools (e.g., Tunisia, Egypt), and relatively stable and wealthy societies that face social change and economic hyper-development (e.g., Qatar, Kuwait). Given such diversity across the region, how and why should social scientists study digital networks in the Middle East? What can digital networks teach us about the social and political aspects of the modern Middle East? In sum, while claims about digital technologies’ impacts across the region have been critiqued for being speculative and overblown, we suggest that digital technologies have instead broadened our ability to understand ongoing transformations among Arab states and societies.

scholarly journals Fusion Skills and Industry 5.0: Conceptions and Challenges

2021 ◽  
Author(s):  
John Mitchell ◽  
David Guile
Keyword(s):  
Machine Learning ◽  
Engineering Education ◽  
Data Science ◽  
Core Curriculum ◽  
Digital Technologies ◽  
Education Curriculum ◽  
Engineering Knowledge ◽  
The Core ◽  
The Future

The nature of work is changing rapidly, driven by the digital technologies that underpin industry 5.0. It has been argued worldwide that engineering education must adapt to these changes which have the potential to rewrite the core curriculum across engineering as a broader range of skills compete with traditional engineering knowledge. Although it is clear that skills such as data science, machine learning and AI will become fundamental skills of the future it is less clear how these should be integrated into existing engineering education curricula to ensure relevance of graduates. This chapter looks at the nature of future fusion skills and the range of strategies that might be adopted to integrated these into the existing engineering education curriculum.

scholarly journals Historical research in the context of data science: Information resources, analytical methods and digital technologies

2020 ◽  
Keyword(s):  
Analytical Methods ◽  
Data Science ◽  
Digital Technologies ◽  
Information Resources ◽  
Historical Research ◽  
International Conference ◽  
Science Information

Within the framework of the International conference, the XVII conference of the Interregional Association “History and Computing” was held.

scholarly journals Digital Technologies and Data Science as Health Enablers: An Outline of Appealing Promises and Compelling Ethical, Legal, and Social Challenges

2021 ◽  
Vol 8 ◽  
Author(s):  
João V. Cordeiro
Keyword(s):  
Public Health ◽  
Machine Learning ◽  
Decision Making ◽  
Data Science ◽  
Digital Health ◽  
Digital Technologies ◽  
Machine Learning Algorithms ◽  
Human Interaction ◽  
The Future ◽  
Human Skills

Digital technologies and data science have laid down the promise to revolutionize healthcare by transforming the way health and disease are analyzed and managed in the future. Digital health applications in healthcare include telemedicine, electronic health records, wearable, implantable, injectable and ingestible digital medical devices, health mobile apps as well as the application of artificial intelligence and machine learning algorithms to medical and public health prognosis and decision-making. As is often the case with technological advancement, progress in digital health raises compelling ethical, legal, and social implications (ELSI). This article aims to succinctly map relevant ELSI of the digital health field. The issues of patient autonomy; assessment, value attribution, and validation of health innovation; equity and trustworthiness in healthcare; professional roles and skills and data protection and security are highlighted against the backdrop of the risks of dehumanization of care, the limitations of machine learning-based decision-making and, ultimately, the future contours of human interaction in medicine and public health. The running theme to this article is the underlying tension between the promises of digital health and its many challenges, which is heightened by the contrasting pace of scientific progress and the timed responses provided by law and ethics. Digital applications can prove to be valuable allies for human skills in medicine and public health. Similarly, ethics and the law can be interpreted and perceived as more than obstacles, but also promoters of fairness, inclusiveness, creativity and innovation in health.

scholarly journals Data Is the New What? Popular Metaphors & Professional Ethics in Emerging Data Culture

2019 ◽  
Author(s):  
Luke Stark ◽  
Anna Lauren Hoffmann
Keyword(s):  
Professional Ethics ◽  
Data Science ◽  
Digital Technologies ◽  
Digital Data ◽  
Data Intensive ◽  
High Profile ◽  
Difficult Conversations ◽  
The Social ◽  
Algorithmic Analysis ◽  
Data Culture

A growing list of high-profile controversies involving the social impacts of artificial intelligence systems (AI), digital data collection and algorithmic analysis have forced difficult conversations around the ethics of data-intensive digital technologies and so-called "big data" research. These incidents are directly relevant to newly coalescing cultures of "data science," an emergent field which seeks both to interpret and capitalize on the creation, collection, and processing of knowledge through large collections of digital data, often in conjunction with particular techniques like machine learning (ML). The long list of recent public controversies, as Brian Beaton observes, lays bare data science's extant lack of direction regarding professional ethics or values.

scholarly journals International Conference "Historical Research in the Context of Data Science: Information Resources, Analytical Methods and Digital Technologies"

2020 ◽  
pp. 250-264
Author(s):  
Leonid Borodkin ◽  
Vladimir Vladimirov ◽  
Irina Markovna Garskova
Keyword(s):  
Computer Science ◽  
Analytical Methods ◽  
Data Science ◽  
Rapid Development ◽  
Digital Technologies ◽  
Information Resources ◽  
Historical Research ◽  
Historical Science ◽  
International Conference ◽  
Science Information

The word "data" has recently become one of the key words in the semantic field of modern science. This happened due to a sharp increase in information flows in the economy and social sphere and the ongoing breakthrough in the development of methods and technologies for processing and analyzing data in the context of large-scale digitalization and the need to work with big data. This has led to the rapid development of data science. Historical science has been affected by these processes as well. The article discusses the course and results of the 17th international conference of the interregional association "History and Computer" held under the title "Historical Research in the Context of Data Science: Information Resources, Analytical Methods and Digital Technologies". Researchers from 7 countries took part in the conference held on-line. The article characterized the structure of the conference in details and the most interesting speeches of its participants. There were two plenary meetings, two round tales and 9 sections. The conference results show that historical computer science has entered a new stage of its development and has ceased to be perceived as a kind of "niche" area of historical science. New researchers are being involved in its development, the geography of scientific centers of historical computer science is expanding, their studies touch upon the most important issues of Russian and foreign history.

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