In this article, I draw on my fieldwork creating protein models of hepatitis B at a biotech laboratory to think through how to approach the body and disease from ontological and phenomenological perspectives. I subsequently draw on Mariella Pandolfi’s work on how bodies can be made to suffer history and Paul Farmer’s work on global tuberculosis disparities to explore ways of analysing embodied activity as a means of identifying and clinically addressing enactments of social inequality and disease. I also introduce (...) Merleau-Ponty’s phenomenological concept of ‘flesh’ as a conceptual heuristic that allows us to understand the meaningful structuring of ontological worlds beyond our own. As I argue, bringing these perspectives together not only allows us to re-envision what an effective disease treatment should be in diverse medical contexts, but also how to better understand health disparities and the nature of disease itself. (shrink)

The practice of theoretical research in chemistry largely consists in the construction of models without which experimentation would be impossible. The best-known theoretical models in chemistry are those of the molecular structures of chemical compounds. What is the correspondence between these models and the unobservable entities that they are meant to explain? What is the ontological status of molecular models? The anti-realists question the basis of the realists’ belief in these entities and the truth claims regarding them. Ultimately, the realist/anti-realist (...) debate points to the question of the scope of scientific knowledge. In this paper, I shall show that the description of natural entities offered by the contemporary scientific worldview reveals that molecular modeling presupposes a realistic epistemology that recognizes the limits of scientific objectification. (shrink)

Recent philosophy of science has seen a number of attempts to understand scientific models by looking to theories of fiction. In previous work, I have offered an account of models that draws on Kendall Walton’s ‘make-believe’ theory of art. According to this account, models function as ‘props’ in games of make-believe, like children’s dolls or toy trucks. In this paper, I assess the make-believe view through an empirical study of molecular models. I suggest that the view gains support when we (...) look at the way that these models are used and the attitude that users take towards them. Users’ interaction with molecular models suggests that they do imagine the models to be molecules, in much the same way that children imagine a doll to be a baby. Furthermore, I argue, users of molecular models imagine themselves viewing and manipulating molecules, just as children playing with a doll might imagine themselves looking at a baby or feeding it. Recognising this ‘participation’ in modelling, I suggest, points towards a new account of how models are used to learn about the world, and helps us to understand the value that scientists sometimes place on three-dimensional, physical models over other forms of representation. (shrink)

Biological sciences have strived to adopt the conceptual framework of physics and have become increasingly quantitatively oriented, aiming to refute the assertion that biology appears unquantifiable, unpredictable, and messy. But despite all effort, biology is characterized by a paucity of quantitative statements with universal applications. Nonetheless, many biological disciplines—most notably molecular biology—have experienced an ascendancy over the last 50 years. The underlying core concepts and ideas permeate and inform many neighboring disciplines. This surprising success is probably not so much attributable (...) to mathematical and statistical approaches in molecular biology, but rather to the preponderance of qualitative approaches, especially visualization. Visualizations can be afforded by quantitative research, but usually they rely on both, quantitative and qualitative research. I claim the following three features to be responsible for the unceasing zeal for using visualizations: visual representations facilitate reasoning, images can be cognitively processed in a “fast” manner, and abstractions of visual representations prompt conceptual advances. In summary, visualizations have largely contributed to the success of molecular biology by conveying its concepts to other disciplines, and at the same time, eclipsing mere quantitative approaches. However, visualizations also bear the risk of misinterpretation when traversing neighboring disciplines and even more so when pervading nonscientific domains. (shrink)