Care as (re)capture: Data colonialism and race during times of crisis

This article examines the role that data-driven technologies play in expanding and reasserting the legitimacy of the US racial state during times of crisis. Specifically, I examine how prison officials used a software called Verus to reinforce the perceived necessity of penal institutions during the COVID-19 pandemic. Government officials used Verus to produce narratives that (1) recast criminalized communities as dangerous and therefore disposable and (2) shielded carceral institutions from liability for systematic neglect. Ultimately, the aim of this article is to contribute to emerging critical concepts such as "data colonialism,” a term that has largely been used to describe the social and economic consequences of parasitic data extraction and monopoly control of digital infrastructure. In addition to these issues, I argue that data-driven technologies are used as vehicles for movement capture and the reproduction of prison logics that enable modes of racialized economic exploitation that extend far beyond the high-tech innovation economy. © The Author(s) 2023.

Building sustainable health data capability in Aotearoa New Zealand: opportunities and challenges highlighted through COVID-19

Aotearoa New Zealand should take the opportunity created by national health reforms to learn from experience with COVID-19, creating a world-class health system that utilises data and modelling effectively. For this to happen, we must build upon a foundation of equity, ethics, trust and transparency and ensure we have the right tools and processes in place for our researchers and practitioners to translate insights into better outcomes for all. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

The digital traveller: implications for data ethics and data governance in tourism and hospitality

Purpose>Big data and analytics are being increasingly used by tourism and hospitality organisations (THOs) to provide insights and to inform critical business decisions. Particularly in times of crisis and uncertainty data analytics supports THOs to acquire the knowledge needed to ensure business continuity and the rebuild of tourism and hospitality sectors. Despite being recognised as an important source of value creation, big data and digital technologies raise ethical, privacy and security concerns. This paper aims to suggest a framework for ethical data management in tourism and hospitality designed to facilitate and promote effective data governance practices.Design/methodology/approach>The paper adopts an organisational and stakeholder perspective through a scoping review of the literature to provide an overview of an under-researched topic and to guide further research in data ethics and data governance.Findings>The proposed framework integrates an ethical-based approach which expands beyond mere compliance with privacy and protection laws, to include other critical facets regarding privacy and ethics, an equitable exchange of travellers' data and THOs ability to demonstrate a social license to operate by building trusting relationships with stakeholders.Originality/value>This study represents one of the first studies to consider the development of an ethical data framework for THOs, as a platform for further refinements in future conceptual and empirical research of such data governance frameworks. It contributes to the advancement of the body of knowledge in data ethics and data governance in tourism and hospitality and other industries and it is also beneficial to practitioners, as organisations may use it as a guide in data governance practices.

The ethical dilemma of mobile phone data monitoring during COVID-19: The case for South Korea and the United States.

Governments across the world have integrated a variety of advanced technologies to respond to the COVID-19 crisis. In particular, the use of surveillance programs that leverage data and tools from mobile phones have become important components of public health strategies to contain the spread of SARS-CoV-2 across the globe. Currently, big technology companies around the world are helping governments evaluate the effectiveness of their social distancing protocols by examining and analyzing movements of millions of mobile phone users in order to determine how the virus is spreading across the various geographic locations, and the effectiveness of the various social distancing methods that have been implemented. The collection and use of individual mobile phone data as a public health surveillance tool presents tensions between several ethical priorities. Such a dilemma resides in the tensions between public health ethics goals and clinical ethics goals. While public health ethics pursues goals that seek to ensure the good of the community, such goals are often achieved at the expense of clinical ethics goals which emphasize individual autonomy and civil liberty. In using persons' mobile phone data as a tool to fight the COVID-19 pandemic, we must address the tensions associated with weighing the needs of "the many" with ensuring the rights of the individual.

DATA ETHICS IN EDUCATION: A THEORETICAL, PRACTICAL, AND POLICY ISSUE

Responsible data use has emerged as an important concept in education, especially in the wake of the COVID-19 pandemic, which continues to highlight inequities. The knowledge and skills to use data effectively and appropriately are at the heart of data ethics. Educators must tightly couple data literacy with an ethical approach to using data-that is, they must be thoughtful about what they choose to do with data, how they go about their work, and how they center their work to benefit, rather than to harm, those engaged in the work of schooling, including students, teachers, families, and other educators. In this article, intended to provoke thought around data ethics among educators, researchers, and policymakers, we take a broad view of what data are and assert that data ethics go far beyond protecting the privacy and confidentiality of data. To be an ethical data user means using the right data in the right ways for the right purposes. The article lays out a context for data ethics, demonstrates how ethics are coupled with data literacy, provides examples of data ethics in practice, and recommends steps for strengthening ethical data use in practice. © 2021 Masaryk University, Faculty of Arts. All rights reserved.

The Ethical Implications of Big Data Research in Public Health: "Big Data Ethics by Design" in the UK-REACH Study.

In this article, we analyze legal and ethical issues raised in Big Data health research projects in the Covid-19 era and consider how these issues might be addressed in ways that advance positive values (e.g., furtherance of respect for persons and accordance with relevant legal frameworks) while mitigating or eliminating any negative aspects (e.g., exacerbation of social inequality and injustice). We apply this analysis specifically to UK-REACH (The United Kingdom Research Study into Ethnicity and Covid-19 Outcomes in Healthcare Workers), a project with which we are involved. We argue that Big Data projects like UK-REACH can be conducted in an ethically robust manner and that funders and sponsors ought to encourage similar projects to drive better evidence-based public policy in public health. As part of this, we advocate that a Big Data ethics-by-design approach be undertaken when such projects are constructed. This principle extends the work of those who advocate ethics by design by addressing prominent issues in Big Data health research projects; it holds that ethical values and principles in Big Data health research projects are best adhered to when they are already integrated into the project aims and methods at the design stage. In advocating this principle, we present a unique perspective regarding pressing ethical problems around large-scale, data-driven Covid-19 research, as well as legal issues associated with processing ostensibly anonymized health data.

Data sharing and collaborations with Telco data during the COVID-19 pandemic: A Vodafone case study.

With the outbreak of COVID-19 across Europe, anonymized telecommunications data provides a key insight into population level mobility and assessing the impact and effectiveness of containment measures. Vodafone's response across its global footprint was fast and delivered key new metrics for the pandemic that have proven to be useful for a number of external entities. Cooperation with national governments and supra-national entities to help fight the COVID-19 pandemic was a key part of Vodafone's response, and in this article the different methodologies developed are analyzed, as well as the key collaborations established in this context. In this article we also analyze the regulatory challenges found, and how these can pose a risk of the full benefits of these insights not being harnessed, despite clear and efficient Privacy and Ethics assessments to ensure individual safety and data privacy.

Privacy versus Public Health? A Reassessment of Centralised and Decentralised Digital Contact Tracing.

At the beginning of the COVID-19 pandemic, high hopes were placed on digital contact tracing. Digital contact tracing apps can now be downloaded in many countries, but as further waves of COVID-19 tear through much of the northern hemisphere, these apps are playing a less important role in interrupting chains of infection than anticipated. We argue that one of the reasons for this is that most countries have opted for decentralised apps, which cannot provide a means of rapidly informing users of likely infections while avoiding too many false positive reports. Centralised apps, in contrast, have the potential to do this. But policy making was influenced by public debates about the right app configuration, which have tended to focus heavily on privacy, and are driven by the assumption that decentralised apps are "privacy preserving by design". We show that both types of apps are in fact vulnerable to privacy breaches, and, drawing on principles from safety engineering and risk analysis, compare the risks of centralised and decentralised systems along two dimensions, namely the probability of possible breaches and their severity. We conclude that a centralised app may in fact minimise overall ethical risk, and contend that we must reassess our approach to digital contact tracing, and should, more generally, be cautious about a myopic focus on privacy when conducting ethical assessments of data technologies.