The Aesthetic Mind breaks new ground in bringing together empirical sciences and philosophy to enhance our understanding of aesthetics and the experience of art.

The aim of this book is to reflect on the complex practice of responsibility within the context of a globalised world and contemporary means of action. Levinas' exploration of the ethical serves as point of entry and is shown to be seeking inter-cultural political relevance through engagement with the issues of postcoloniality and humanism. Yet, Levinas fails to realise the ethical implications of the inevitable instrumental mediation between ethical meaning and political practice. With recourse to Weber, Apel and Ricoeur, (...) class='Hi'>Ernst Wolff proposes a theory of strategic co-responsibility for the uncertain global context of practice. (shrink)

A person can appropriately manifest respect toward a world heritage ruin by developing a sensitive understanding of the ruin’s cultural and historical context and significance. In this paper, we link such respectful understanding to the question of the aesthetic appreciation of world heritage ruins. Our claim is that an aesthetic appreciation of a world heritage ruin qua world heritage ruin typically involves two things: first, the responsibility not to neglect the individuality of the object, and, second, a commitment to the (...) idea that it is the object—respectfully conceived—which must be the focus of our appreciation. (shrink)

Theory of illness causation is an important issue in all biomedical sciences, and solid etiological explanations are needed in order to develop therapeutic approaches in medicine and preventive interventions in public health. Until now, the literature about the theoretical underpinnings of illness causation research has been scarce and fragmented, and lacking a convenient summary. This interdisciplinary book provides a convenient and accessible distillation of the current status of research into this developing field, and adds a personal flavor to the discussion (...) by proposing the etiological stance as a comprehensive approach to identify modifiable causes of illness. (shrink)

Explaining the causal mechanisms that contribute to autism spectrum disorder occurrence remains a conundrum in developmental medicine, neuroscience, and child psychiatry. Recent research has resulted in agreement on behavioral definitions and their underlying cognitive processes, early diagnosis and standardized assessments, evidence-based interventions, systems-level approaches to neurobiology, and identification of genetic variants and their interaction with epigenetic and environmental factors. However, an explanatory model of autism causation remains elusive.Perhaps..

According to the Russo-Williamson Thesis, causal claims in the health sciences need to be supported by both difference-making and mechanistic evidence. In this article, we attempt to determine whether Evidence-based Medicine can be improved through the consideration of mechanistic evidence. We discuss the practical composition and function of each RWT evidence type and propose that exposure-outcome evidence provides associations that can be explained through a hypothesis of causation, while mechanistic evidence provides finer-grained associations and knowledge of entities that ultimately explains (...) a causal hypothesis. We suggest that mechanistic evidence holds untapped potential to add value to the assessment of evidence quality in EBM and propose initial recommendations for the integration of mechanistic and exposure-outcome evidence to improve EBM by robustly leveraging available evidence in support of good medical decisions. (shrink)

In this essay, I argue that Ted Poston's theory of explanatory coherentism is well-suited as a tool for causal explanation in the health sciences, particularly in epidemiology. Coherence has not only played a role in epidemiology for more than half a century as one of Hill's viewpoints, it can also provide background theory for the development of explanatory systems by integrating epidemiologic evidence with a diversity of other error-independent data. I propose that computational formalization of Hill's viewpoints in an explanatory (...) coherentist framework would provide an excellent starting point for a formal epistemological (knowledge-theoretical) project designed to improve causal explanation in the health sciences. As an example, I briefly introduce Paul Thagard's ECHO system and offer my responses to possible objections to my proposal. (shrink)

Models of illness causation play a crucial role in medicine and public health. In their recent paper on this topic, Michael Kelly, Rachel Kelly, and Federica Russo state that the integration of social, biological, and behavioral causes in one and the same etiologic mechanism remains to be clarified. In particular, they think that current models of illness causation do not appreciate "the truly integrated nature of bio-social-behavioral pathogenesis". In brief, Kelly, Kelly, and Russo suggest that two levels of explanation are (...) at work in medicine and public health, biological and social; that integration is difficult because of resistance to including social determinants of disease in both the... (shrink)

Bradford Hill (1965) highlighted nine aspects of the complex evidential situation a medical researcher faces when determining whether a causal relation exists between a disease and various conditions associated with it. These aspects are widely cited in the literature on epidemiological inference as justifying an inference to a causal claim, but the epistemological basis of the Hill aspects is not understood. We offer an explanatory coherentist interpretation, explicated by Thagard's ECHO model of explanatory coherence. The ECHO model captures the complexity (...) of epidemiological inference and provides a tractable model for inferring disease causation. We apply this model to three cases: the inference of a causal connection between the Zika virus and birth defects, the classic inference that smoking causes cancer, and John Snow’s inference about the cause of cholera. (shrink)

Recently, cognitivist accounts about art have come under pressure to provide stronger arguments for the view that artworks can yield genuine insight and understanding. In Gregory Currie’s Imagining and Knowing: Learning from Fiction, for example, a convincing case is laid out to the effect that any knowledge gained from engaging with art must “be judged by the very standards that are used in assessing the claim of science to do the same” (Currie 2020: 8) if indeed it is to count (...) as knowledge. Cognitivists must thus rally to provide sturdier grounds for their view. The revived interest in this philosophical discussion targets not only the concept of knowledge at the heart of cognitivist and anti-cognitivist debate, but also highlights a more specific question about how, exactly, some artworks can (arguably) afford cognitive import and change how we think about the world, ourselves and the many events, persons and situations we encounter. This paper seeks to explore some of the ways in which art is capable of altering our epistemic perspectives in ways that might count as knowledge despite circumventing some standards of evidential requirement. In so doing we will contrast two alternative conceptions of how we stand to learn from art. Whereas the former is modelled on the idea that knowledge is something that can be “extracted” from our experience of particular works of art, the latter relies on a notion of such understanding as primarily borne out of a different kind of engagement with art. We shall call this the subtractive conception and cumulative conception respectively. The cumulative conception, we shall argue, better explains why at least some insights and instances of knowledge gained from art seem to elude the evidential standards called for by sceptics of cognitivism. (shrink)

Biomedical research and study design have recently been examined in detail by philosophers of science, who, like biomedical researchers, are concerned with the ability to accurately represent causal relationships through scientific study and apply these relationships to improve the health of individuals and populations. Epistemology—defined by the OED as "the theory of knowledge, especially with regard to its methods, validity, and scope, and the distinction between justified belief and opinion"—is fundamental to these concerns. In particular, philosophers of science and biomedical (...) researchers have discussed the epistemological value of randomized-controlled trials in regards to their individual components.... (shrink)

The search for causes of perinatal brain damage needs a solid theoretical foundation. Current theory apparently does not offer a unanimously accepted view of what constitutes a cause, and how it can be identified. We discuss nine potential theoretical misconceptions: (1) too narrow a view of what is a cause (causal production vs. facilitation), (2) extrapolating from possibility to fact (potential vs. factual causation), (3) if X, then invariably Y (determinism vs. probabilism), (4) co-occurrence in individuals vs. association in populations, (...) (5) one cause is all that is needed (single cause attribution vs. multicausal constellations), (6) drawing causal inferences from very small numbers of observations (the tendency to generalize), (7) unstated causal inferences, (8) ignoring heterogeneity, and (9) failing to consider alternative explanations for what is observed. We hope that our critical discussion will contribute to fruitful research and help reduce the burden of perinatal brain damage. (shrink)

This book covers the overlap between informatics, computer science, philosophy of causation, and causal inference in epidemiology and population health research. Key concepts covered include how data are generated and interpreted, and how and why concepts in health informatics and the philosophy of science should be integrated in a systems-thinking approach. Furthermore, a formal epistemology for the health sciences and public health is suggested. -/- Causation in Population Health Informatics and Data Science provides a detailed guide of the latest thinking (...) on causal inference in population health informatics. It is therefore a critical resource for all informaticians and epidemiologists interested in the potential benefits of utilising a systems-based approach to causal inference in health informatics. (shrink)

In this chapter, I first outline the public health workflow from assessment via goal definition and intervention to evaluation. Further, I discuss the types and subtypes of explanation used in public health research and practice: scientific, justificatory, methodological, and prospective. In doing this, I take the discussion far beyond the usual focus in philosophy of science as answers to “why?”-questions. The chapter ends with a few comments on my proposal.

In order to support health interventions, biomedical and population health researchers need to collect solid evidence. This article asks what type of evidence this should be and expands on previous work that focused on etiological explanations, or causal-mechanical explanations of why and how illness occurs. The article proposes adding predictive evidence to the explanatory evidence, in order to form a joint evidence set, or JES = [A,B,C,D], which consists of four different types of evidence: association [A], biology [B], confirmation [C], (...) and difference-making [D]. The article discusses explanatory coherence as a backbone for this proposal, suggests criteria for each type of evidence, and offers a rubric for multi-evidence mapping. (shrink)

Mark Evan Bonds’ recent book, Absolute Music, deepens considerably the historical context within which Eduard Hanslick’s famous treatise on musical beauty can be read. This paper argues that, with the aid of this expanded context, we can understand Hanslick’s treatise to have provided contemporary and subsequent audiences with a kind of meta-programme for listening to symphonic and other non-texted music. That is to say, Hanslick’s text arguably informed and directed the way audiences came to listen to instrumental music by furnishing (...) them with imaginative constructs which could then be applied to the practice of musical listening. In much the same way as the texts which supply the poetic scenarios of so-called programme music, Hanslick’s ‘meta-programme’ became indispensable to an expanding culture of musical listening in the second half of the 19th century and beyond beyond. My claim thus contradicts the well-known formalist tenets of Hanslick’s musical aesthetics. (shrink)

At the core of medicine is the idea to help fellow human beings by improving or even restoring their health. Let us call this the auxiliary stance of medicine—the motivation of medical intervention by reference to a moral obligation to guide our peers in their attempt to live a healthy and productive life. In parallel, the auxiliary stance is also central to public health, with a focus on prevention and health promotion. Taken together, we can view medicine and public health (...) as the two main human auxiliary endeavors to protect individuals and populations from health risks and help them to heal when sick. (shrink)

Agent-based models (ABMs) are one type of simulation model used in the context of the COVID-19 pandemic. In contrast to equation-based models, ABMs are algorithms that use individual agents and attribute changing characteristics to each one, multiple times during multiple iterations over time. This paper focuses on three philosophical aspects of ABMs as models of causal mechanisms, as generators of emergent phenomena, and as providers of explanation. Based on my discussion, I conclude that while ABMs cannot help much with causal (...) inference, they can be viewed as etio-prognostic explanations of illness occurrence and outcome. (shrink)

Thinking about illness causation has a long and rich history in medicine. After a hiatus in the 1990s, the last one-and-a-half decades have seen a surge of publications on causality in the biomedical sciences. Interestingly, this surge is visible not only in the medical, epidemiological, bioinformatics, and public health literatures, but also among philosophical publications. In this essay, I review and discuss one most recent addition to the literature, "Causality: Philosophical Theory Meets Scientific Practice" written by philosophers Phyllis Illari and (...) Federica Russo about causality in the sciences, and particularly about the health sciences. (shrink)