scholarly journals Ethical Issues with Using Internet of Things Devices in Citizen Science Research: A Scoping Review.

2020 ◽  
Author(s):  
James Scheibner ◽  
Anna Jobin ◽  
Effy Vayena
Keyword(s):  
Internet Of Things ◽  
Citizen Science ◽  
Scoping Review ◽  
Ethical Issues ◽  
Science Research

scholarly journals Ethical Issues with Using Internet of Things Devices in Citizen Science Research: A Scoping Review

2021 ◽  
Vol 9 ◽  
Author(s):  
James Scheibner ◽  
Anna Jobin ◽  
Effy Vayena
Keyword(s):  
Internet Of Things ◽  
Citizen Science ◽  
Scoping Review ◽  
Data Privacy ◽  
Social Innovation ◽  
Ethical Issues ◽  
Research Question ◽  
Science Research ◽  
Research Process ◽  
Review Protocol

Digital innovation is ever more present and increasingly integrated into citizen science research. However, smartphones and other connected devices come with specific features and characteristics and, in consequence, raise particular ethical issues. This article addresses this important intersection of citizen science and the Internet of Things by focusing on how such ethical issues are communicated in scholarly literature. To answer this research question, this article presents a scoping review of published scientific studies or case studies of scientific studies that utilize both citizen scientists and Internet of Things devices. Specifically, this scoping review protocol retrieved studies where the authors had included at least a short discussion of the ethical issues encountered during the research process. A full text analysis of relevant articles conducted inductively and deductively identified three main categories of ethical issues being communicated: autonomy and data privacy, data quality, and intellectual property. Based on these categories, this review offers an overview of the legal and social innovation implications raised. This review also provides recommendations for researchers who wish to innovatively integrate citizen scientists and Internet of Things devices into their research based on the strategies researchers took to resolve these ethical issues.

Research Ethics in Citizen Science

2021 ◽  
Author(s):  
Lisa M. Rasmussen
Keyword(s):  
Research Ethics ◽  
Citizen Science ◽  
Ethical Issues ◽  
Science Research ◽  
Research Approach ◽  
The Public ◽  
Lay Members ◽  
New Research

This chapter outlines some of the main ethical issues in citizen science research, a new research approach that involves lay members of the public in research for which they are not necessarily professionally trained. Although some of this work is covered by existing research ethics regulations, much is not; and it is not clear how to ensure ethical citizen science research. The chapter briefly describes citizen science research, including the nature of its relationship to existing regulations. It also outlines some of the ethical issues that arise in citizen science research—some familiar, some novel—and offers “trust architecture” as a concept to guide researchers in considering how to satisfy the ethical demands of their work.

scholarly journals Artificial intelligence for good health: a scoping review of the ethics literature

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Kathleen Murphy ◽  
Erica Di Ruggiero ◽  
Ross Upshur ◽  
Donald J. Willison ◽  
Neha Malhotra ◽  
...  
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Global Health ◽  
Population Health ◽  
Health Systems ◽  
Scoping Review ◽  
Industrial Revolution ◽  
Ethical Issues ◽  
Grey Literature ◽  
Ethical Implications

Abstract Background Artificial intelligence (AI) has been described as the “fourth industrial revolution” with transformative and global implications, including in healthcare, public health, and global health. AI approaches hold promise for improving health systems worldwide, as well as individual and population health outcomes. While AI may have potential for advancing health equity within and between countries, we must consider the ethical implications of its deployment in order to mitigate its potential harms, particularly for the most vulnerable. This scoping review addresses the following question: What ethical issues have been identified in relation to AI in the field of health, including from a global health perspective? Methods Eight electronic databases were searched for peer reviewed and grey literature published before April 2018 using the concepts of health, ethics, and AI, and their related terms. Records were independently screened by two reviewers and were included if they reported on AI in relation to health and ethics and were written in the English language. Data was charted on a piloted data charting form, and a descriptive and thematic analysis was performed. Results Upon reviewing 12,722 articles, 103 met the predetermined inclusion criteria. The literature was primarily focused on the ethics of AI in health care, particularly on carer robots, diagnostics, and precision medicine, but was largely silent on ethics of AI in public and population health. The literature highlighted a number of common ethical concerns related to privacy, trust, accountability and responsibility, and bias. Largely missing from the literature was the ethics of AI in global health, particularly in the context of low- and middle-income countries (LMICs). Conclusions The ethical issues surrounding AI in the field of health are both vast and complex. While AI holds the potential to improve health and health systems, our analysis suggests that its introduction should be approached with cautious optimism. The dearth of literature on the ethics of AI within LMICs, as well as in public health, also points to a critical need for further research into the ethical implications of AI within both global and public health, to ensure that its development and implementation is ethical for everyone, everywhere.

Artificial Intelligence and Ethics in Dentistry: A Scoping Review

2021 ◽  
pp. 002203452110138
Author(s):  
C.M. Mörch ◽  
S. Atsu ◽  
W. Cai ◽  
X. Li ◽  
S.A. Madathil ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Scoping Review ◽  
Ethical Issues ◽  
Data Extraction ◽  
Cochrane Library ◽  
Data Sets ◽  
Ethical Challenges ◽  
Internal Validation ◽  
Neural Learning ◽  
Learning Techniques

Dentistry increasingly integrates artificial intelligence (AI) to help improve the current state of clinical dental practice. However, this revolutionary technological field raises various complex ethical challenges. The objective of this systematic scoping review is to document the current uses of AI in dentistry and the ethical concerns or challenges they imply. Three health care databases (MEDLINE [PubMed], SciVerse Scopus, and Cochrane Library) and 2 computer science databases (ArXiv, IEEE Xplore) were searched. After identifying 1,553 records, the documents were filtered, and a full-text screening was performed. In total, 178 studies were retained and analyzed by 8 researchers specialized in dentistry, AI, and ethics. The team used Covidence for data extraction and Dedoose for the identification of ethics-related information. PRISMA guidelines were followed. Among the included studies, 130 (73.0%) studies were published after 2016, and 93 (52.2%) were published in journals specialized in computer sciences. The technologies used were neural learning techniques for 75 (42.1%), traditional learning techniques for 76 (42.7%), or a combination of several technologies for 20 (11.2%). Overall, 7 countries contributed to 109 (61.2%) studies. A total of 53 different applications of AI in dentistry were identified, involving most dental specialties. The use of initial data sets for internal validation was reported in 152 (85.4%) studies. Forty-five ethical issues (related to the use AI in dentistry) were reported in 22 (12.4%) studies around 6 principles: prudence (10 times), equity (8), privacy (8), responsibility (6), democratic participation (4), and solidarity (4). The ratio of studies mentioning AI-related ethical issues has remained similar in the past years, showing that there is no increasing interest in the field of dentistry on this topic. This study confirms the growing presence of AI in dentistry and highlights a current lack of information on the ethical challenges surrounding its use. In addition, the scarcity of studies sharing their code could prevent future replications. The authors formulate recommendations to contribute to a more responsible use of AI technologies in dentistry.

BSAS Ethical Policy British Society of Animal Science Ethical guidelines for research in animal science

2005 ◽  
Vol 2005 ◽  
pp. 247-253 ◽  
Author(s):  
S. Jarvis ◽  
J.E.L. Day ◽  
B. Reed
Keyword(s):  
Ethical Issues ◽  
Science Research ◽  
British Society ◽  
Ethical Guidelines ◽  
Animal Science ◽  
Ethical Implications ◽  
Ethical Policy ◽  
Physical Environments ◽  
Wide Range ◽  
And Performance

Animal science research is important in relation to our understanding of animals, their function and performance, and their relationships with their social and physical environments. Animal science research covers a wide range of disciplines and so can lead to the use of a variety of experimental techniques on animals for many different purposes. This has the potential to lead to a multitude of diverse ethical issues. Members of the British Society of Animal Science and authors of papers submitted to the Society for publication come from countries around the world and therefore are subject to differences in legislative requirements and recommendations regarding animal experimentation. These legal requirements, along with the ethical implications of the research must be fully considered before any experimental work is undertaken.

scholarly journals TrIAS, leveraging citizen science data to monitor invasive species in Belgium

2018 ◽  
Vol 2 ◽  
pp. e24749
Author(s):  
Quentin Groom ◽  
Tim Adriaens ◽  
Damiano Oldoni ◽  
Lien Reyserhove ◽  
Diederik Strubbe ◽  
...  
Keyword(s):  
Invasive Species ◽  
Alien Species ◽  
Citizen Science ◽  
Invasive Alien Species ◽  
Science Research ◽  
Open Science ◽  
Policy Support ◽  
Science Data ◽  
Common View ◽  
Indispensable Tool

Reducing the damage caused by invasive species requires a community approach informed by rapidly mobilized data. Even if local stakeholders work together, invasive species do not respect borders, and national, continental and global policies are required. Yet, in general, data on invasive species are slow to be mobilized, often of insufficient quality for their intended application and distributed among many stakeholders and their organizations, including scientists, land managers, and citizen scientists. The Belgian situation is typical. We struggle with the fragmentation of data sources and restrictions to data mobility. Nevertheless, there is a common view that the issue of invasive alien species needs to be addressed. In 2017 we launched the Tracking Invasive Alien Species (TrIAS) project, which envisages a future where alien species data are rapidly mobilized, the spread of exotic species is regularly monitored, and potential impacts and risks are rapidly evaluated in support of policy decisions (Vanderhoeven et al. 2017). TrIAS is building a seamless, data-driven workflow, from raw data to policy support documentation. TrIAS brings together 21 different stakeholder organizations that covering all organisms in the terrestrial, freshwater and marine environments. These organizations also include those involved in citizen science, research and wildlife management. TrIAS is an Open Science project and all the software, data and documentation are being shared openly (Groom et al. 2018). This means that the workflow can be reused as a whole or in part, either after the project or in different countries. We hope to prove that rapid data workflows are not only an indispensable tool in the control of invasive species, but also for integrating and motivating the citizens and organizations involved.

scholarly journals Citizen Science in Human Medicine and the Use of Software-Systems: A Rapid Scoping Review

2021 ◽  
Author(s):  
Jannik Schaaf ◽  
Michaela Neff ◽  
Joerg Scheidt ◽  
Michael Steglich ◽  
Holger Storf
Keyword(s):  
Citizen Science ◽  
Rare Diseases ◽  
Scoping Review ◽  
Genetic Research ◽  
Research Process ◽  
Human Medicine ◽  
Software Systems ◽  
Ministry Of Education ◽  
Research Areas ◽  
Science Projects

Citizen science allows involving interested citizen in the entire research process in science. In the past, various citizen science projects have been performed in different research fields, especially in human medicine. We conducted a rapid scoping review to determine which citizen projects in human medicine already used software-based systems to engage citizens in the research process. Furthermore, we analysed which of the software-systems are publicly available, especially in the field of rare diseases, how citizens can participate using those tools and whether the usability was rated by the participants. To get insights for our project “SelEe (Seltene Erkrankungen bürgerwissenschaftlich erforschen)”, which is a citizen science project in rare diseases funded by the Federal Ministry of Education and Research (BMBF), we aimed to identify projects in this research area. We searched PubMed for articles between 2011 and 2021 and performed a title- and abstract screening, as well as a full-text screening. Finally, 12 studies were identified in different research areas like public health, genetic research and infectious diseases. We could not identify any study directly associated with rare diseases. None of the studies investigated usability of those systems. Furthermore, five publicly available citizen science software-systems were identified. Three of them are general systems that allow creating, operating, managing citizen science projects and including citizens in the research process. In further investigations, we will check and compare these systems, if they are appropriate for use in our SelEe-project.

scholarly journals Knowledge, Attitudes, and Behavior Related to COVID-19 Testing: A Rapid Scoping Review

Diagnostics ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1685
Author(s):  
Imogen Bevan ◽  
Mats Stage Baxter ◽  
Helen R. Stagg ◽  
Alice Street
Keyword(s):  
Scoping Review ◽  
Social Process ◽  
Social Science Research ◽  
Science Research ◽  
Social Solidarity ◽  
Contact Tracing ◽  
The Public ◽  
Testing Uptake ◽  
And Behavior ◽  
Attitudes And Behavior

Testing programs for COVID-19 depend on the voluntary actions of members of the public for their success. Understanding people’s knowledge, attitudes, and behavior related to COVID-19 testing is, therefore, key to the design of effective testing programs worldwide. This paper reports on the findings of a rapid scoping review to map the extent, characteristics, and scope of social science research on COVID-19 testing and identifies key themes from the literature. Main findings include the discoveries that people are largely accepting of testing technologies and guidelines and that a sense of social solidarity is a key motivator of testing uptake. The main barriers to accessing and undertaking testing include uncertainty about eligibility and how to access tests, difficulty interpreting symptoms, logistical issues including transport to and from test sites and the discomfort of sample extraction, and concerns about the consequences of a positive result. The review found that existing research was limited in depth and scope. More research employing longitudinal and qualitative methods based in under-resourced settings and examining intersections between testing and experiences of social, political, and economic vulnerability is needed. Last, the findings of this review suggest that testing should be understood as a social process that is inseparable from processes of contact tracing and isolation and is embedded in people’s everyday routines, livelihoods and relationships.

scholarly journals The Use Of Social Media For Health Research Purposes: Scoping Review (Preprint)

2020 ◽  
Author(s):  
Charline Bour ◽  
Susanne Schmitz ◽  
Adrian Ahne ◽  
Camille Perchoux ◽  
Coralie Dessenne ◽  
...  
Keyword(s):  
Social Media ◽  
Scoping Review ◽  
Health Research ◽  
Ethical Issues ◽  
Search Strategies ◽  
Annual Growth Rate ◽  
Ethical Perspective ◽  
Evidence Map ◽  
The Usa ◽  
Use Of Social Media

BACKGROUND As social media are increasingly used worldwide, more and more scientists are relying on them for their health-related projects. But so far, social media features, methodologies and ethical issues are unclear with no overview of this relatively young field of research. OBJECTIVE This scoping review aimed to provide an evidence map of the different uses of social media for health research purposes, their fields of applications and their analysis methods. METHODS We followed the scoping review methodologies developed by Arksey and O’Malley and the Joanna Briggs Institute. After developing search strategies based on keywords (e.g., Social media, health research), comprehensive searches were conducted in Pubmed/MEDLINE and Web of Science databases. We limited the search strategies to documents written in English and published between 2005/01/01 and 2020/04/09. After removing duplicates, articles were screened at title/abstract and at full text level by two independent reviewers. One reviewer extracted data that were descriptively analyzed to map the available evidence. RESULTS After screening 1237 titles and abstracts and 407 full-texts, 268 unique papers were included, dating from 2009 to 2020 with an average annual growth rate of 32.71% for the 2009-2019 period. Studies mainly came from America (64.55%, N=173/268, including 151 from the USA). Articles used machine learning or data mining techniques (N=60/268) to analyze the data, discussed opportunities and limitations of the use of social media for research (N=59/268), assessed the feasibility of recruitment strategies (N=45/268) or discussed ethical issues (N=16/268). Communicable (e.g., influenza, N=122/268) and then chronic (e.g., cancer, N=40/268) diseases were the two main areas of interest. CONCLUSIONS Since their early days, social media have been recognized as a resource of high potential for health research purposes but yet the field is still suffering from a strong heterogeneity in the methodologies used, which prevents the research from comparison and generalisability. For the field to be fully recognized as a valid, complementary approach to more traditional health research study designs, there is now a need for more guidance by types of applications of social media for health research, both from a methodological and an ethical perspective.

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