We give an overview of the practice of developing and using complex climate models, as seen from experiences in a major climate modelling center and through participation in the Coupled Model Intercomparison Project. We discuss the construction and calibration of models; their evaluation, especially through use of out-of-sample tests; and their exploitation in multi-model ensembles to identify biases and make predictions. We stress that adequacy or utility of climate models is best assessed via their skill against more naïve predictions. The (...) framework we use for making inferences about reality using simulations is naturally Bayesian, and has many points of contact with more familiar examples of scientific epistemology. While the use of complex simulations in science is a development that changes much in how science is done in practice, we argue that the concepts being applied fit very much into traditional practices of the scientific method, albeit those more often associated with laboratory work. (shrink)

Using state-of-the-art observational datasets and results from a large archive of computer model simulations, a consortium of scientists from 12 different institutions has resolved a long-standing conundrum in climate science—the apparent discrepancy between simulated and observed temperature trends in the tropics. Research published by this group indicates that there is no fundamental discrepancy between modeled and observed tropical temperature trends when one accounts for: the uncertainties in observations; and the statistical uncertainties in estimating trends from observations. These results refute a (...) recent claim that model and observed tropical temperature trends “disagree to a statistically significant extent”. This claim was based on the application of a flawed statistical test and the use of older observational datasets. (shrink)

Increased productivity may have negative impacts on farm animal welfare in modern animal production systems. Efficiency gains in production are primarily thought to be due to the intensification of production, and this has been associated with an increased incidence of production diseases, which can negatively impact upon FAW. While there is a considerable body of research into consumer attitudes towards FAW, the extent to which this relates specifically to a reduction in production diseases in intensive systems, and whether the increased (...) incidence of diseases represents a barrier to consumer acceptance of their increased use, requires further investigation. Therefore a systematic review of public attitudes towards FAW was conducted, with a specific focus on production diseases in intensive systems. Four databases were searched to identify relevant studies. A screening process, using a set of pre-determined inclusion criteria, identified 80 studies, with the strength of evidence and uncertainty assessed for each. A thematic analysis led to the identification of 6 overarching themes constructed from 15 subthemes. The results demonstrate that the public are concerned about FAW in modern production systems. Concern varied in relation to age, gender, education and familiarity with farming. Naturalness and humane treatment were central to what was considered good welfare. An evidence gap was highlighted in relation to attitudes towards specific production diseases, with no studies specifically addressing this. However, the prophylactic use of antibiotics was identified as a concern. A number of dissonance strategies were adopted by consumers to enable guilt free meat consumption. (shrink)

Cohen’s (2023) mapping exercise of possible bioethical issues emerging from the use of ChatGPT in medicine provides an informative, useful, and thought-provoking trigger for discussions of AI ethic...

One hundred sixty subjects acted as members of a hypothetical Institutional Animal Care and Use Committee and evaluated five proposals in which animals were to be used for research or educational purposes. They were asked to approve or reject the proposals and to indicate what factors were important in reaching their ethical decisions. Gender and differences in personal moral philosophy were related to approval decisions. The reasons given for the decisions fell into three main categories: metacognitive statements, factors related to (...) the animal, and factors related to the design of the experiment. (shrink)

The objective of this study was to assess whether, and how, the attitudes towards business ethics of former South African business students have changed between the early 1990s and 2010. The study used the Attitudes Toward Business Ethics Questionnaire and applied a comparative analysis between leading business schools in South Africa. The findings of this study found a significant change in attitudes based on a set time frame, with a trend towards stronger opinions on business ethics and espoused values. Eleven (...) factors came out as fundamental, although they were less able to explain the variation in the attitudes than the previous study. A significant change in the rankings of variables was noted and indicated a shift in attitude toward a teleological moral philosophy as well as utilitarian motives. This shows a clear trend towards compliance-based ethics, which can be explained by the proliferation of business legislation and regulation in the wake of recent corporate governance failures and the subsequent global financial crisis. (shrink)

Big Data has been variously defined in the literature. In the main, definitions suggest that Big Data possess a suite of key traits: volume, velocity and variety, but also exhaustivity, resolution, indexicality, relationality, extensionality and scalability. However, these definitions lack ontological clarity, with the term acting as an amorphous, catch-all label for a wide selection of data. In this paper, we consider the question ‘what makes Big Data, Big Data?’, applying Kitchin’s taxonomy of seven Big Data traits to 26 datasets (...) drawn from seven domains, each of which is considered in the literature to constitute Big Data. The results demonstrate that only a handful of datasets possess all seven traits, and some do not possess either volume and/or variety. Instead, there are multiple forms of Big Data. Our analysis reveals that the key definitional boundary markers are the traits of velocity and exhaustivity. We contend that Big Data as an analytical category needs to be unpacked, with the genus of Big Data further delineated and its various species identified. It is only through such ontological work that we will gain conceptual clarity about what constitutes Big Data, formulate how best to make sense of it, and identify how it might be best used to make sense of the world. (shrink)

The problem of the Rota Aristotelis deals with the unrolling of two tightly connected concentric circles with different radii. It is to be found in Chapter 24 of the text Mechanica of the Aristotelian corpus (today generally no longer attributed to Aristotle) and has bothered many authors until the modern age. All these scholars agree that the solution given there is not satisfactory. We conclude that Chapter 24 is close to Aristotle, at least, both from a philological and philosophical point (...) of view. The solution of the problem given in the ancient text can very well be transferred into a modern physical phenomenological explanation. (shrink)

IntroductionThe objectives of this study are to assess and compare differences in the intensity, frequency, and overall severity of moral distress among a diverse group of healthcare professionals.MethodsParticipants from within Baylor Health Care System completed an online seven-point Likert scale (range, 0 to 6) moral distress survey containing nine core clinical scenarios and additional scenarios specific to each participant’s discipline. Higher scores reflected greater intensity and/or frequency of moral distress.ResultsMore than 2,700 healthcare professionals responded to the survey (response rate 18.14 (...) percent); survey respondents represented multiple healthcare disciplines across a variety of settings in a single healthcare system. Intensity of moral distress was high in all disciplines, although the causes of highest intensity varied by discipline. Mean moral distress intensity for the nine core scenarios was higher among physicians than nurses, but the mean moral distress frequency was higher among nurses. Taking into account both intensity and frequency, the difference in mean moral distress score was statistically significant among the various disciplines. Using post hoc analysis, differences were greatest between nurses and therapists.ConclusionsMoral distress has previously been described as a phenomenon predominantly among nursing professionals. This first-of-its-kind multidisciplinary study of moral distress suggests the phenomenon is significant across multiple professional healthcare disciplines. Healthcare professionals should be sensitive to situations that create moral distress for colleagues from other disciplines. Policy makers and administrators should explore options to lessen moral distress and professional burnout that frequently accompanies it. (shrink)