Phylogenetic methods increasingly are brought to bear on questions of subspecies taxonomy, but several recent examples highlight the need for a clear and consistent philosophical approach to how genetic data are used to assess subspecies limits. Such standards are crucial conceptually, whether or not taxonomic decisions affect conservation decisions, as they might in a recent study focused on t...

While logic has sometimes tended to lead to oversimplification and abstraction, it has also made it possible to refine philosophical problems pertaining to science so as to give them rigor and precision, and in some cases, to solve them definitively. There are too many different cases to provide a helpful overview, so I will discuss several examples that I have found especially telling concerni...

A century ago, psychology was in the process of separating from philosophy and becoming an experimental science, while also distinguishing itself from physiology. It is usually said that the father of experimental psychology was Wilhelm Wundt, who began conducting experiments in a laboratory in Leipzig in 1879. The domain of Wundt's investigation was that of conscious mental states and processe...

The standard economic theory and specially the rational choice model are blocks shared as a theoretical background by a lot of works in philosophy of science and philosophy of technology. The logical approach to science studies is another reason of that common style in the received view. One of the issues that I mean that needs changes is the model of human being on wich those theories are buil...

Trust is a central concept in the philosophy of science. We highlight how trust is important in the wide variety of interactions between science and society. We claim that examining and clarifying the nature and role of trust (and distrust) in relations between science and society is one principal way in which the philosophy of science is socially relevant. We argue that philosophers of science...

In this position paper I consider four topics on which machine learning and philosophy of science can illuminate each other: scienti c method, simplicity, theoretical terms and scienti c realism. I conclude by stressing the di erences between the two disciplines.