Using Transactional Big Data for Epidemiological Surveillance: Google Flu Trends and Ethical Implications of ‘Infodemiology’

2016 ◽  
pp. 41-72 ◽  
Author(s):  
Annika Richterich
Keyword(s):  
Big Data ◽  
Epidemiological Surveillance ◽  
Ethical Implications

scholarly journals Big Data: Some Ethical Concerns for the Social Sciences

2021 ◽  
Vol 10 (2) ◽  
pp. 36
Author(s):  
Michael Weinhardt
Keyword(s):  
Social Sciences ◽  
Big Data ◽  
Ethical Issues ◽  
Online Behavior ◽  
Ethical Concerns ◽  
Ethical Implications ◽  
The Social ◽  
And Behaviors ◽  
State Actors

While big data (BD) has been around for a while now, the social sciences have been comparatively cautious in its adoption for research purposes. This article briefly discusses the scope and variety of BD, and its research potential and ethical implications for the social sciences and sociology, which derive from these characteristics. For example, BD allows for the analysis of actual (online) behavior and the analysis of networks on a grand scale. The sheer volume and variety of data allow for the detection of rare patterns and behaviors that would otherwise go unnoticed. However, there are also a range of ethical issues of BD that need consideration. These entail, amongst others, the imperative for documentation and dissemination of methods, data, and results, the problems of anonymization and re-identification, and the questions surrounding the ability of stakeholders in big data research and institutionalized bodies to handle ethical issues. There are also grave risks involved in the (mis)use of BD, as it holds great value for companies, criminals, and state actors alike. The article concludes that BD holds great potential for the social sciences, but that there are still a range of practical and ethical issues that need addressing.

Big Data in Cultural Tourism – Building Sustainability and Enhancing Competitiveness

2021 ◽  
Keyword(s):  
Big Data ◽  
Case Studies ◽  
Value Chain ◽  
New Technologies ◽  
Cultural Tourism ◽  
End Users ◽  
Ethical Implications ◽  
Tourism Sector ◽  
Cultural Experiences ◽  
Selection Of

The use of big data is becoming increasingly important across the tourism sector and the value chain. With this publication, UNWTO intends to provide a baseline research on using big data by tourism and culture stakeholders, in order to improve the competitiveness of cultural tourism and reinforce its sustainability. The study sets the basis to connect tourism, culture and new technologies for mutual benefits, while calling for a reflection on the ethical implications for policymakers, businesses and end-users. The selection of case studies illustrates the most frequent case-scenarios of the use of big data in cultural tourism within destinations, compiled during the research. As the new technologies are facing ever-evolving scenarios, their use will be harnessed by the tourism sector in its endeavour to innovate and provide new cultural experiences.

The Future of Nurse Scholarship: The Ethical Challenges

2021 ◽  
Vol 35 (1) ◽  
pp. 25-27
Author(s):  
Constance L. Milton
Keyword(s):  
Public Health ◽  
Big Data ◽  
National Policy ◽  
Nurse Education ◽  
Health Priorities ◽  
Ethical Challenges ◽  
Data Movement ◽  
Ethical Implications ◽  
Policy Statements ◽  
Competency Based

The advancement of a healthcare discipline is reliant on the disciplines’ ability to produce rigorous scholarship activities and products. The healthcare disciplines, especially nursing, are facing ever-changing priorities as shortages loom and exhaustion permeates the climate. Empirical public health priorities during the pandemic have dominated professional healthcare literature and global health communications. This article shall offer ethical implications for the discipline of nursing as it seeks the advancement of scholarship. Topics include straight-thinking issues surrounding nursing and medicine national policy statements, the big data movement, and evolutionary return of competency-based nurse education.

scholarly journals Datavisions – On Panoptica, Oligoptica, and (Big) Data

2016 ◽  
Vol 24 ◽  
Author(s):  
Regine Buschauer
Keyword(s):  
Big Data ◽  
Conceptual Framework ◽  
Ethical Implications

In focusing on relations between data and vision and proposing to address big data in terms of currently dominant optical metaphors (and, quite literally, in terms of ‘visions’), the paper makes a case for an approach that allows for clearer distinctions between big data as ‘visions’, and data technologies. (Re)assessing (present and past) notions and visions of panoptic data technologies, I outline three perspectives on the nexus between data and vision(s). Following Bruno Latour’s counter-image of “oligoptica”, I argue, more generally, in favour of a conceptual framework that understands big data as a sociotechnical infrastructure, and discuss, drawing on more recent studies, in which ways this approach allows to address social and ethical implications of present data technologies and practices in a more differentiated way.

The Ethics of Big Data and Nursing Science

2017 ◽  
Vol 30 (4) ◽  
pp. 300-302 ◽  
Author(s):  
Constance L. Milton
Keyword(s):  
Big Data ◽  
Informed Consent ◽  
Nursing Science ◽  
Ethical Implications

Big data is a scientific, social, and technological trend referring to the process and size of datasets available for analysis. Ethical implications arise as healthcare disciplines, including nursing, struggle over questions of informed consent, privacy, ownership of data, and its possible use in epistemology. The author offers straight-thinking possibilities for the use of big data in nursing science.

scholarly journals The ethics of algorithms: key problems and solutions

AI & Society ◽  
2021 ◽  
Author(s):  
Andreas Tsamados ◽  
Nikita Aggarwal ◽  
Josh Cowls ◽  
Jessica Morley ◽  
Huw Roberts ◽  
...  
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Design Development ◽  
Ethical Problems ◽  
Ethical Implications ◽  
The Past ◽  
Problems And Solutions

AbstractResearch on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016 (Mittelstadt et al. Big Data Soc 3(2), 2016). The goals are to contribute to the debate on the identification and analysis of the ethical implications of algorithms, to provide an updated analysis of epistemic and normative concerns, and to offer actionable guidance for the governance of the design, development and deployment of algorithms.

scholarly journals Big Data and the Ethical Implications of Data Privacy in Higher Education Research

2020 ◽  
Vol 12 (20) ◽  
pp. 8744
Author(s):  
Diana Florea ◽  
Silvia Florea
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Education Research ◽  
Private Information ◽  
Data Privacy ◽  
Complex Nature ◽  
Complex Data ◽  
Higher Education Research ◽  
Ethical Implications ◽  
The Impact

Despite the claimed worth and huge interest regarding the increasing volumes of complex data sets and the rewarding promise to improve research, there is, however, a growing concern regarding data privacy that affects both qualitative and quantitative higher education research. Within the contemporary debates on the impact of Big Data on the nature of higher education research and the effective ways to harmonize Big Data practice with privacy restrictions and regulations, this study sets out to qualitatively examine current issues regarding data privacy, anonymity, informed consent and confidentiality in data-centric higher education research, with a focus on the data collector, data subject and data user. We argue that within current regulations, data protection of research subjects concerns more data collection and disclosure and insufficiently describes use, having procedural implications for both the complex nature of higher education (HE) research and the type of research data being collected. We work our argument through an examination of several factors that call for a reconsideration of data privacy and access to private information in HE research. The conclusions indicate that Big Data-centric HE research is increasingly becoming a mainstream research paradigm which needs to address critical data privacy issues before being widely embraced.

Big data, little wisdom: trouble brewing? Ethical implications for the information systems discipline

2016 ◽  
Vol 31 (4) ◽  
pp. 400-416 ◽  
Author(s):  
David J. Pauleen ◽  
David Rooney ◽  
Ali Intezari
Keyword(s):  
Big Data ◽  
Information Systems ◽  
Ethical Implications
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