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This article is a response to the challenge with which Zachary Schrag concluded his article, 'The case against ethics review in social sciences' − that 'the burden of proof for its continuation rests on its defenders' (Schrag, 2011). This article acknowledges that there is substance in the charges he lays against some reviews of social sciences and that these are of sufficient quantity and seriousness to justify his challenge. Instead of favouring abandonment of ethical review of social sciences, the author of this article draws upon his experience as Research Ethics Officer for Social Sciences and Law in a research intensive UK university to identify the sources of some of the problems and suggest potential remedies. These start with reviewing the warrant for ethical review as the basis for understanding reviewer's role concerning the core ethical issues of rigour, respect and responsibility in the proposed research. This response concludes by considering the implications of a warrant for enhancing trust between scientists and the public as the context in which ethical review is only one component in a number of ethical strategies designed to promote ethical mindfulness as integral to social science research.

Risk and uncertainty are inescapable existential challenges that face all therapists and their clients. However, they may be only partially and inadequately addressed in existing approaches to ethics and therefore merit further ethical consideration. This article builds on a dialogue between Bill Cornell, Sue Eusden, Carol Shadbolt, and the author about the ethical challenges posed by the revival of the relational tradition in transactional analysis. It proposes a new approach to the ethics of trust, one designed to respond to the intricacies of psychologically intimate therapeutic relationships. An ethic of trust is defined as one that supports the development of reciprocal relationships of sufficient strength to withstand the relational challenges of difference and inequality and the existential challenges of risk and uncertainty. Examples are provided to illustrate the application of this approach to ethics.

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A multi-layered narrative is presented as a way of inviting discussion about narrative as research in the talking therapies and social sciences. The core issue under consideration is the challenge of researching lived experience and how this is distorted or eliminated by many traditional approaches to research. The paper contains an account of a first experience of presenting a narrative about ethical decisionmaking to a national research conference by someone more accustomed to writing and researching in traditional propositional discourses. The aim of this narrative is to focus attention on the lived experience of generating new understanding and practice and to raise questions for discussion about the role of narrative in research, especially research directed towards developing insight into lived experience.

The spatial extent of terrestrial vegetation types reliant on groundwater in arid Australia is poorly known, largely because they are located in remote areas that are expensive to survey. In previous attempts, the use of traditional remote sensing approaches failed to discriminate vegetation using groundwater from surrounding vegetation. Difficulties in discerning vegetation groundwater use by remote sensing may be exacerbated by the unpredictable rainfall patterns and lack of annual wet and dry seasons common in arid Australia. This study presents a novel approach to mapping terrestrial groundwater-dependent ecosystems (GDEs) by applying singular value decomposition (SVD) to time-series of vegetation indices derived from Landsat-8 data, to isolate the temporal and spatial sources of variation associated with groundwater use. In-situ data from 442 sites were used to supervise and validate logistic regression models and neural networks, to determine whether sites could be correctly classified as GDEs using components obtained from the SVD. These results were used to produce a probability map of GDE occurrence across a 557 000 ha study area. Overall accuracy of the final classification map was 79%, with 72% of sites correctly identified as GDEs (true positives) and 16% incorrectly classified as GDEs (false positives). The approach is broadly applicable in arid regions globally, and is easily validated if general background knowledge of regional vegetation exists. Globally, and going forward, increased water extraction is expected to severely limit water available for GDEs. Successfully mapping GDEs in arid environments is a critical step towards their sustainable management, and the human and natural systems reliant upon them.