During the second half of the last century, the importance of serendipitous events in scientific frameworks has been progressively recognized, fueling hard debates about their role, nature, and structure in philosophy and sociology of science. Alas, while discussing the relevance of the topic for the comprehension of the nature of scientific discovery, the philosophical literature has hardly paid attention to the cognitive significance of serendipity, accepting rather than examining some of its most specific features, such as its game-changing effect, the (...) unexpectedness of its occurrence, and its affinity with the concept of “luck”. Thus, in this paper we aim at analyzing these characteristics in the light of their cognitive implications in the recognition, performance, and possible stimulation of serendipitous events in relation to scientific discoveries. (shrink)

Modelers are tackling ever more complex systems with the aid of computation. Model-based inferences can play a key role in their ability to handle complexity and produce reliable or informative models. We study here the role of model-based inference in the modern field of computational systems biology. We illustrate how these inferences operate and analyze the material and theoretical bases or conditions underlying their effectiveness. Our investigation reiterates the significance and centrality of model-based reasoning in day-to-day problem-solving practices, and the (...) role that debugging processes of partial or incomplete models can play in scientific inference and scientific discovery, particularly with respect to complex systems. We present several deeper implications such an analysis has for philosophy of science regarding the role of models in scientific practice. (shrink)

Jenner (1749–1826) is known as the father of the smallpox vaccine. Through an inferential analysis of Jenner’s report of inquiry, in which medical practice and medical research are intrinsically intertwined, we highlight his use of abductive hypotheses. Our understanding of abduction is based on the Gabbay and Woods (2005, The Reach of Abduction Insight and Trial, 2, 39) model, in which hypotheses can be activated even when they have not been confirmed, as well as Magnani’s Select and Test model (1992, (...) 2017). We discuss the fundamental role of abductive hypotheses in experimental medicine and understood in the sense of Bernard (1865, Introduction à l’étude la médecine expérimentale). We conclude with remarks about mechanistic hypotheses discussed by Jenner, in relation to the thesis advocated by Russo and Williamson (2007, Int. Stud. Philos. Sci., 21, 157–170). (shrink)