Within continental philosophy of biology the work of Michel Serres has not received a lot of attention. Nonetheless, this chapter wants to argue that Serres was part of a group of thinkers – together with Jacques Monod and Henri Atlan – that started to think about biology in terms of second-order cybernetics and information theory. Therefore, this chapter aims to do four things. First of all, it maps the relation between Serres and Canguilhem, one that was mediated by authors such (...) as Louis Althusser or Jacques Monod. Secondly, it fleshes out Serres’s own ‘biophilosophy’. I label this alternative tradition as a ‘biophilosophy without a subject’. Finally, this chapter explores the consequences of this alternative biophilosophy through a brief examination of two authors whose work lies in the line of this tradition: René Girard and Bruno Latour. Though at first sight different, they both draw inspiration from this biophilosophy to develop a framework that, paradoxically, ‘jumps over’ the subject. Hence, the reason why biology is neither a prominent theme in Girard’s nor in Latour’s work. This is not because of a lack of biophilosophy, but because of an implicit one: a biophilosophy without a subject. (shrink)

This article argues that historical epistemology offers the history of philosophy and science more than a mere tool to write the history of concepts. It does this, first of all, by rereading historical epistemology through Michel Foucault's “techniques of the self.” Second, it turns to the work of Léon Brunschvicg and Gaston Bachelard. In their work we see a proposal for what the subjectivity of scientists and philosophers should be. The article thus argues that their work is driven by a (...) normative psychology: a set of prescriptions for which mental constitution a scholarly self has to have. In the Conclusion, it returns to existing analyses of “open‐mindedness” as a virtue and explores in what way these cases challenge these analyses, as well as to what extent Foucault's “techniques of the self” can be applied to other cases in the history of French philosophy. (shrink)

Raymond Aron was a student of Léon Brunschvicg, a representative of French historical epistemology. This article explores Aron’s relation to this tradition through three claims. First of all, it contests that Raymond Aron’s philosophy of history constituted a complete break with this tradition. Secondly, resituating Aron in this tradition is valuable, because it highlights how Aron’s own philosophy of history is to be understood as a normative project, seen as an alternative to that of Brunschvicg. Finally, Aron’s philosophy can still (...) hold valuable lessons for present-day historical epistemology and history and philosophy of science in general. (shrink)

Often associated with themes in political philosophy and aesthetics, the work of Jean-François Lyotard is most known for his infamous definition of the postmodern in his best-known book, La condition postmoderne, as incredulity towards metanarratives. The claim of this article is that this famous claim of Lyotard is actually embedded in a philosophy of technology, one that is, moreover, still relevant for understanding present technoscience. The first part of the article therefore sketches Lyotard’s philosophy of technology, mainly by correcting three (...) common misconceptions: that La condition postmoderne would only be about metanarratives, whereas in fact, it is mainly about what replaces them, namely performativity; that performativity would be shorthand for capitalism, whereas in reality, capitalism is the latest instance of a longer history of performativity; and that Lyotard’s reflections on science and technology would be restricted to this book alone, whereas in reality, a well-articulated philosophy of technology, centered around the concept of technoscience, is found in his later work. The second part of the article then aims to highlight the contemporary relevance of this philosophy of technoscience through a brief examination of two contemporary technosciences: synthetic biology and data science. (shrink)