"We do not appreciate being experimented on": Developer and Researcher Views on the Ethics of Experiments on Open-Source Projects

A tenet of open source software development is to accept contributions from users-developers (typically after appropriate vetting). But should this also include interventions done as part of research on open source development? Following an incident in which buggy code was submitted to the Linux kernel to see whether it would be caught, we conduct a survey among open source developers and empirical software engineering researchers to see what behaviors they think are acceptable. This covers two main issues: the use of publicly accessible information, and conducting active experimentation. The survey had 224 respondents. The results indicate that open-source developers are largely open to research, provided it is done transparently. In other words, many would agree to experiments on open-source projects if the subjects were notified and provided informed consent, and in special cases also if only the project leaders agree. While researchers generally hold similar opinions, they sometimes fail to appreciate certain nuances that are important to developers. Examples include observing license restrictions on publishing open-source code and safeguarding the code. Conversely, researchers seem to be more concerned than developers about privacy issues. Based on these results, it is recommended that open source repositories and projects address use for research in their access guidelines, and that researchers take care to ask permission also when not formally required to do so. We note too that the open source community wants to be heard, so professional societies and IRBs should consult with them when formulating ethics codes.Comment: 15 pages with 42 charts and 3 tables; accepted versio

Explorations in knowing: thinking psychosocially about legitimacy

This article has been made available through the Brunel Open Access Publishing Fund.In this paper, we look at what engaging with psychoanalysis, through psychosocial accounts of subjectivity, has contributed to our struggles for legitimacy and security within our ways of knowing. The psychosocial, with its insistence on the unconscious and the irrational, features as both a source of security and of insecurity. We use three examples drawn from our own empirical research to explore the entanglement of the researcher with the researched and how this can offer a re-imagined sense of legitimacy for our work. In elaborating our argument, we discuss our experiences of 'being captured' by data and participants, and of negotiating the ethics of analysing participants' accounts. © 2014 The Author(s). Published by Pedagogy, Culture & Society

Open Archaeology: Definitions, Challenges and Context

© 2015 Andrew T. Wilson and Ben Edwards. Open Source Archaeology: Ethics and Practice' brings together authors and researchers in the field of open-source archaeology, defined as encompassing the ethical imperative for open public access to the results of publicly-funded research; practical solutions to open-data projects; open-source software applications in archaeology; public information sharing projects in archaeology; open-GIS; and the open-context system of data management and sharing. This edited volume is designed to discuss important issues around open access to data and software in academic and commercial archaeology, as well as to summarise both the current state of theoretical engagement, and technological development in the field of open-archaeology

Gender Representation in Open Source Speech Resources

With the rise of artificial intelligence (AI) and the growing use of deep-learning architectures, the question of ethics, transparency and fairness of AI systems has become a central concern within the research community. We address transparency and fairness in spoken language systems by proposing a study about gender representation in speech resources available through the Open Speech and Language Resource platform. We show that finding gender information in open source corpora is not straightforward and that gender balance depends on other corpus characteristics (elicited/non elicited speech, low/high resource language, speech task targeted). The paper ends with recommendations about metadata and gender information for researchers in order to assure better transparency of the speech systems built using such corpora.Comment: accepted to LREC202

Developing digital contact tracing tailored to haulage in East Africa to support COVID-19 surveillance: a protocol

International audienceIntroduction At the peak of Uganda’s first wave of SARS-CoV-2 in May 2020, one in three COVID-19 cases was linked to the haulage sector. This triggered a mandatory requirement for a negative PCR test result at all ports of entry and exit, resulting in significant delays as haulage drivers had to wait for 24–48 hours for results, which severely crippled the regional supply chain. To support public health and economic recovery, we aim to develop and test a mobile phone-based digital contact tracing (DCT) tool that both augments conventional contact tracing and also increases its speed and efficiency. Methods and analysis To test the DCT tool, we will use a stratified sample of haulage driver journeys, stratified by route type (regional and local journeys). We will include at least 65% of the haulage driver journeys ~83 200 on the network through Uganda. This allows us to capture variations in user demographics and socioeconomic characteristics that could influence the use and adoption of the DCT tool. The developed DCT tool will include a mobile application and web interface to collate and intelligently process data, whose output will support decision-making, resource allocation and feed mathematical models that predict epidemic waves. The main expected result will be an open source-tested DCT tool tailored to haulage use in developing countries. This study will inform the safe deployment of DCT technologies needed for combatting pandemics in low-income countries. Ethics and dissemination This work has received ethics approval from the School of Public Health Higher Degrees, Research and Ethics Committee at Makerere University and The Uganda National Council for Science and Technology. This work will be disseminated through peer-reviewed publications, our websites https://project-thea.org/ and Github for the open source code https://github.com/project-thea/

Improving the performance of community health workers in humanitarian emergencies: a realist evaluation protocol for the PIECES programme.

INTRODUCTION Understanding what enhances the motivation and performance of community health workers (CHWs) in humanitarian emergencies represents a key research gap within the field of human resources for health. This paper presents the research protocol for the Performance ImprovEment of CHWs in Emergency Settings (PIECES) research programme. Enhancing Learning and Research in Humanitarian Action (ELRHA) funded the development of this protocol as part of their Health in Humanitarian Crises (R2HC) call (No.19839). PIECES aims to understand what factors improve the performance of CHWs in level III humanitarian emergencies. METHODS AND ANALYSIS The suggested protocol uses a realist evaluation with multiple cases across the 3 country sites: Turkey, Iraq and Lebanon. Working with International Medical Corps (IMC), an initial programme theory was elicited through literature and document reviews, semistructured interviews and focus groups with IMC programme managers and CHWs. Based on this initial theory, this protocol proposes a combination of semistructured interviews, life histories and critical incident narratives, surveys and latent variable modelling of key constructs to explain how contextual factors work to trigger mechanisms for specific outcomes relating to IMC's 300+ CHWs' performance. Participants will also include programme staff, CHWs and programme beneficiaries. Realist approaches will be used to better understand 'what works, for whom and under what conditions' for improving CHW performance within humanitarian contexts. ETHICS AND DISSEMINATION Trinity College Dublin's Health Policy and Management/Centre for Global Health Research Ethics Committee gave ethical approval for the protocol development phase. For the full research project, additional ethical approval will be sought from: Université St. Joseph (Lebanon), the Ethics Committee of the Ministry of Health in Baghdad (Iraq) and the Middle East Technical University (Turkey). Dissemination activities will involve a mixture of research feedback, policy briefs, guidelines and recommendations, as well as open source academic articles

Georgia Legal Research

This open source textbook authored by Amy Taylor was designed to provide University of Georgia School of Law students with a comprehensive guide to Georgia legal research. Using this text in combination with appropriate assignments, student objectives include the ability to select, evaluate, and use appropriate legal research tools with an emphasis on cost-effective research and proficiency in the following topics: Developing an efficient and cost effective research strategy Advanced searching skills in legal research databases Case law, including docket research, court rules, and verdicts & settlements Statutory law, including legislative materials and legislative history Administrative regulations, rules, and related materials Practice materials, including litigation and transactional tools Competitive Intelligence & business information Local & municipal law Legal ethics Free and low cost internet legal resources Attorneys use primary and secondary sources to research the law as it applies to a client’s legal situation in order to give accurate legal advice. A careful legal researcher asks critical questions of these sources and acknowledges the potential strengths and weaknesses of a client’s legal situation before giving legal advice.https://digitalcommons.law.uga.edu/books/1165/thumbnail.jp

Predicting asthma attacks in primary care: protocol for developing a machine learning-based prediction model

INTRODUCTION: Asthma is a long-term condition with rapid onset worsening of symptoms ('attacks') which can be unpredictable and may prove fatal. Models predicting asthma attacks require high sensitivity to minimise mortality risk, and high specificity to avoid unnecessary prescribing of preventative medications that carry an associated risk of adverse events. We aim to create a risk score to predict asthma attacks in primary care using a statistical learning approach trained on routinely collected electronic health record data. // METHODS AND ANALYSIS: We will employ machine-learning classifiers (naïve Bayes, support vector machines, and random forests) to create an asthma attack risk prediction model, using the Asthma Learning Health System (ALHS) study patient registry comprising 500 000 individuals across 75 Scottish general practices, with linked longitudinal primary care prescribing records, primary care Read codes, accident and emergency records, hospital admissions and deaths. Models will be compared on a partition of the dataset reserved for validation, and the final model will be tested in both an unseen partition of the derivation dataset and an external dataset from the Seasonal Influenza Vaccination Effectiveness II (SIVE II) study. // ETHICS AND DISSEMINATION: Permissions for the ALHS project were obtained from the South East Scotland Research Ethics Committee 02 [16/SS/0130] and the Public Benefit and Privacy Panel for Health and Social Care (1516-0489). Permissions for the SIVE II project were obtained from the Privacy Advisory Committee (National Services NHS Scotland) [68/14] and the National Research Ethics Committee West Midlands-Edgbaston [15/WM/0035]. The subsequent research paper will be submitted for publication to a peer-reviewed journal and code scripts used for all components of the data cleaning, compiling, and analysis will be made available in the open source GitHub website (https://github.com/hollytibble)