Matt Spencer

. Through examining a case study of a major fluids modelling code, this paper charts two key properties of software as a material for building models. Scientific software development is characterized by piecemeal growth, and as a code expands, it begins to manifest frustrating properties that provide an important axis of motivation in the laboratory. The first such feature is a tendency towards brittleness. The second is an accumulation of supporting technologies that sometimes cause scientists to express a frustration with the bureaucracy of highly regulated working practices. Both these features are important conditions for the pursuit of research through simulation.

Over 18 months of ethnographic fieldwork with a group of computational physicists, I encountered many negative assessments of the part that images should play in the accomplishment of good research. In this essay I explore the question of where these anxieties might come from and what they mean. Using Bachelard’s philosophy, I first point to the role that the image plays in conditioning the imagination and in training intuitive judgement. But to get to the bottom of the trouble with images we are led through Rheinberger and Stiegler to a view of scientific cognition that extends beyond the mind to prosthetic circuits of artefacts, including both images and written inscriptions. Rather than locating the problem as one of the relation between the image and what it represents, I argue for the importance of general cultural difficulties in managing and manipulating artefactual assemblages