Justice in human research ethics : a conceptual and practical guide

One of the core values to be applied by a body reviewing the ethics of human research is justice. The inclusion of justice as a requirement in the ethical review of human research is relatively recent and its utility had been largely unexamined until debates arose about the conduct of international biomedical research in the late 1990s. The subsequent amendment of authoritative documents in ways that appeared to shift the meaning of conceptions of justice generated a deal of controversy. Another difficulty has been that both the theory and the substance of justice that are applied by researchers or reviewers can be frequently seen to be subjective. Both the concept of justice – whether distributive or commutative - and what counts as a just distribution or exchange – are given different weight and meanings by different people. In this paper, the origins and more recent debates about the requirement to consider justice as a criterion in the ethical review of human research are traced, relevant conceptions of justice are distinguished and the manner in which they can be applied meaningfully in the ethical review all human research is identified. The way that these concepts are articulated in, and the intent and function of, specific paragraphs of the National Statement on Ethical Conduct in Human Research (NHMRC, ARC, UA, 2007) (National Statement) is explained. The National Statement identifies a number of issues that should be considered when a human research ethics committee is reviewing the justice aspects of an application. It also provides guidance to researchers as to how they can show that there is a fair distribution of burdens and benefits in the participant experience and the research outcomes. It also provides practical guidance to researchers on how to think through issues of justice so that they can demonstrate that the design of their research projects meets this ethical requirement is also provided

Introduction - research ethics : women, sex, and gender in biomedical research

The ethical governance of biomedical research is an area of intense international debate. Scholars argue about who should regulate and how, the appropriate role for ethics committees, what kind of research should be included, and who should be involved in monitoring compliance. A particular aspect of these debates concerns the inclusion of women as research participants and the efforts to ensure that researchers consistently investigate questions of sex and gender in health research. There is increasing evidence of the role of sex in the manifestation and course of some illnesses and their treatment. Moreover, evidence suggests that gendered expectations also affect health outcomes. This special issue investigates how researchers are addressing these issues and debates the appropriate roles of policy makers, ethicists, and lawyers in ensuring that sex and gender differences are taken into account in the development, conduct, and reporting of health research.

Teaching and assessing ethics and social responsibility in undergraduate science : a position paper

Institutional graduate capabilities and discipline threshold learning outcomes require science students to demonstrate ethical conduct and social responsibility. However, neither the teaching nor the assessment of these concepts is straightforward. Australian chemistry academics participated in a workshop in 2013 to discuss and develop teaching and assessment in these areas and this paper reports on the outcomes of that workshop. Controversial issues discussed included: How broad is the mandate of the teacher, how should the boundaries between personal values and ethics be drawn, and how can ethics be assessed without moral judgement? In this position paper, I argue for a deep engagement with ethics and social justice, achieved through case studies and assessed against criteria that require discussion and debate. Strategies to effectively assess science students’ understanding of ethics and social responsibility are detailed.

Automated species recognition in environmental recordings

Faunal vocalisations are vital indicators for environmental change and faunal vocalisation analysis can provide information for answering ecological questions. Therefore, automated species recognition in environmental recordings has become a critical research area. This thesis presents an automated species recognition approach named Timed and Probabilistic Automata. A small lexicon for describing animal calls is defined, six algorithms for acoustic component detection are developed, and a series of species recognisers are built and evaluated.The presented automated species recognition approach yields significant improvement on the analysis performance over a real world dataset, and may be transferred to commercial software in the future.

The value of respect in human research ethics: A conceptual analysis and a practical guide

In order to continue to maintain public trust and confidence in human research, participants must be treated with respect. Researchers and Human Research Ethics Committee members need to be aware that modern considerations of this value include: the need for a valid consenting process, the protection of participants who have their capacity for consent compromised; the promotion of dignity for participants; and the effects that human research may have on cultures and communities. This paper explains the prominence of respect as a value when considering the ethics of human research and provides practical advice for both researchers and Human Research Ethics Committee members in developing respectful research practices.

Physical activity recognition from accelerometer data using a multi-scale ensemble method

Accurate and detailed measurement of an individual's physical activity is a key requirement for helping researchers understand the relationship between physical activity and health. Accelerometers have become the method of choice for measuring physical activity due to their small size, low cost, convenience and their ability to provide objective information about physical activity. However, interpreting accelerometer data once it has been collected can be challenging. In this work, we applied machine learning algorithms to the task of physical activity recognition from triaxial accelerometer data. We employed a simple but effective approach of dividing the accelerometer data into short non-overlapping windows, converting each window into a feature vector, and treating each feature vector as an i.i.d training instance for a supervised learning algorithm. In addition, we improved on this simple approach with a multi-scale ensemble method that did not need to commit to a single window size and was able to leverage the fact that physical activities produced time series with repetitive patterns and discriminative features for physical activity occurred at different temporal scales.

Community media production : access, institutions, and ethics

In policy terms, community media are known as the “third sector” of the media. The description reflects the historical expectation that community media can fulfill a need not met by the commercial and public service broadcasters. A defining element of this “need” has been the means to production for nonprofessionals, particularly groups not represented in the mainstream media. The historical construction of community media reveals production to be a guiding principle; both a means and an end in itself. This chapter examines the various rationales underpinning community media production, including empowerment, media diversity, and the independent producer movement. Using case studies from youth media, the chapter critiques producer-centric models of community media. In the contemporary media environment, production alone cannot meet the social needs that community media were established to address. Instead, I propose a rationale that combines both production and consumption ethics.

Criminological research and institutional ethics protocols : empowering the indigenous other or the academy?

Indigenous commentators have long critiqued the way in which government agencies and member of academic institutions carry out research in their social context. Recently, these commentators have turned their critical gaze upon activities of Research Ethics Boards(REBs). Informed by the reflections on research processes and by Indigenous Canadian and New Zealand research participants, as well as the extant literature, this paper critiques the processes employed by New Zealand REBs to assess Indigenous‐focused or Indigenous‐led research in the criminological realm.

Inpatient facial expression recognition with SMS alert

Facial expression recognition (FER) has been dramatically developed in recent years, thanks to the advancements in related fields, especially machine learning, image processing and human recognition. Accordingly, the impact and potential usage of automatic FER have been growing in a wide range of applications, including human-computer interaction, robot control and driver state surveillance. However, to date, robust recognition of facial expressions from images and videos is still a challenging task due to the difficulty in accurately extracting the useful emotional features. These features are often represented in different forms, such as static, dynamic, point-based geometric or region-based appearance. Facial movement features, which include feature position and shape changes, are generally caused by the movements of facial elements and muscles during the course of emotional expression. The facial elements, especially key elements, will constantly change their positions when subjects are expressing emotions. As a consequence, the same feature in different images usually has different positions. In some cases, the shape of the feature may also be distorted due to the subtle facial muscle movements. Therefore, for any feature representing a certain emotion, the geometric-based position and appearance-based shape normally changes from one image to another image in image databases, as well as in videos. This kind of movement features represents a rich pool of both static and dynamic characteristics of expressions, which playa critical role for FER. The vast majority of the past work on FER does not take the dynamics of facial expressions into account. Some efforts have been made on capturing and utilizing facial movement features, and almost all of them are static based. These efforts try to adopt either geometric features of the tracked facial points, or appearance difference between holistic facial regions in consequent frames or texture and motion changes in loca- facial regions. Although achieved promising results, these approaches often require accurate location and tracking of facial points, which remains problematic.

All-environment visual place recognition with SMART

This paper presents Sequence Matching Across Route Traversals (SMART); a generally applicable sequence-based place recognition algorithm. SMART provides invariance to changes in illumination and vehicle speed while also providing moderate pose invariance and robustness to environmental aliasing. We evaluate SMART on vehicles travelling at highly variable speeds in two challenging environments; firstly, on an all-terrain vehicle in an off-road, forest track and secondly, using a passenger car traversing an urban environment across day and night. We provide comparative results to the current state-of-the-art SeqSLAM algorithm and investigate the effects of altering SMART’s image matching parameters. Additionally, we conduct an extensive study of the relationship between image sequence length and SMART’s matching performance. Our results show viable place recognition performance in both environments with short 10-metre sequences, and up to 96% recall at 100% precision across extreme day-night cycles when longer image sequences are used.

Investigating online recognition for blood donor retention : an experiential donor value approach

Recognising that charitable behaviour can be motivated by public recognition and emotional satisfaction, not-for-profit organisations have developed strategies that leverage self-interest over altruism by facilitating individuals to donate conspicuously. Initially developed as novel marketing programs to increase donation income, such conspicuous tokens of recognition are being recognised as important value propositions to nurture donor relationships. Despite this, there is little empirical evidence that identifies when donations can be increased through conspicuous recognition. Furthermore, social media’s growing popularity for self-expression, as well as the increasing use of technology in donor relationship management strategies, makes an examination of virtual conspicuous tokens of recognition in relation to what value donors seek particularly insightful. Therefore, this research examined the impact of experiential donor value and virtual conspicuous tokens of recognition on blood donor intentions. Using online survey data from 186 Australian blood donors, results show that in fact emotional value is a stronger predictor of intentions to donate blood than altruistic value, while social value is the strongest predictor of intentions if provided with recognition. Clear linkages between dimensions of donor value (altruistic, emotional and social) and conspicuous donation behaviour (CDB) were identified. The findings provide valuable insights into the use of conspicuous donation tokens of recognition on social media, and contribute to our understanding into the under-researched areas of donor value and CDB.

Review: "Measuring and evaluating sustainability : ethics in sustainability indexes" by Sarah E. Fredericks, New York, Routledge, Routledge Studies in Sustainable Development, 2014

The concept of ‘sustainability’ has been pushed to the forefront of policy-making and politics as the world wakes up to the impacts of climate change and the effects of the rapid urbanisation and modern urban lifestyles (Yigitcanlar and Teriman 2014). Climate change and fossil fuel-based energy policy have emerged as the biggest challenges for our planet, threatening both built and natural systems with long-term consequences. However, the threats are not limited to the impacts of climate change and unsustainable energy system only – e.g., impacts of rapid urbanisation, socioeconomic crises and governance hiccups are just to name a few (Yigitcanlar 2010a). Along with these challenges, successfully coping with the enormous transformations that our cities, societies and the environment have been going through during the last few decades, and their...

Community arts and appropriate internet technology : participation, materiality, and the ethics of sustainability in the digitally networked era

This thesis delivers new knowledge about how Australian community arts practices of appropriate technology are shifting due to the internet. It reconfigures the sector's incumbent ethics of sustainability in response to emerging concerns about how the internet's material politics are affecting cultural participation.

Multi-scale bio-inspired place recognition

This paper presents a novel place recognition algorithm inspired by the recent discovery of overlapping and multi-scale spatial maps in the rodent brain. We mimic this hierarchical framework by training arrays of Support Vector Machines to recognize places at multiple spatial scales. Place match hypotheses are then cross-validated across all spatial scales, a process which combines the spatial specificity of the finest spatial map with the consensus provided by broader mapping scales. Experiments on three real-world datasets including a large robotics benchmark demonstrate that mapping over multiple scales uniformly improves place recognition performance over a single scale approach without sacrificing localization accuracy. We present analysis that illustrates how matching over multiple scales leads to better place recognition performance and discuss several promising areas for future investigation.

The effect of prior visual information on recognition of speech and sounds

To identify and categorize complex stimuli such as familiar objects or speech, the human brain integrates information that is abstracted at multiple levels from its sensory inputs. Using cross-modal priming for spoken words and sounds, this functional magnetic resonance imaging study identified 3 distinct classes of visuoauditory incongruency effects: visuoauditory incongruency effects were selective for 1) spoken words in the left superior temporal sulcus (STS), 2) environmental sounds in the left angular gyrus (AG), and 3) both words and sounds in the lateral and medial prefrontal cortices (IFS/mPFC). From a cognitive perspective, these incongruency effects suggest that prior visual information influences the neural processes underlying speech and sound recognition at multiple levels, with the STS being involved in phonological, AG in semantic, and mPFC/IFS in higher conceptual processing. In terms of neural mechanisms, effective connectivity analyses (dynamic causal modeling) suggest that these incongruency effects may emerge via greater bottom-up effects from early auditory regions to intermediate multisensory integration areas (i.e., STS and AG). This is consistent with a predictive coding perspective on hierarchical Bayesian inference in the cortex where the domain of the prediction error (phonological vs. semantic) determines its regional expression (middle temporal gyrus/STS vs. AG/intraparietal sulcus).