Experimental activity is traditionally identified with testing the empirical implications or numerical simulations of models against data. In critical reaction to the ‘tribunal view’ on experiments, this essay will show the constructive contribution of experimental activity to the processes of modeling and simulating. Based on the analysis of a case in fluid mechanics, it will focus specifically on two aspects. The first is the controversial specification of the conditions in which the data are to be obtained. The second is conceptual (...) clarification, with a redefinition of concepts central to the understanding of the phenomenon and the conditions of its occurrence. (shrink)

This paper aims 1) to introduce the notion of theoretical story as a resource and source of constraint for the construction and assessment of models of phenomena; 2) to show the relevance of this notion for a better understanding of the role and nature of values in scientific activity. The reflection on the role of values and value judgments in scientific activity should be attentive, I will argue, to the distinction between models and the theoretical story that guides and constrains (...) their construction. The aim of scientific activity is to develop understanding of phenomena, and something that serves this aim and contributes to the development of understanding has a cognitive value. Cognitive values are the features that something that plays a role in scientific activity should have so that it can serve its aim. I will focus my attention on the features of the theoretical story and of the models. (shrink)

Devant le constat du déclin toujours plus rapide de la diversité biologique et les limites des res- sources disponibles pour l’enrayer, il est nécessaire de déterminer quels moyens devraient être engagés dans sa protection. Pour ce faire, une méthode efficace serait d’évaluer les bénéfices tirés de la biodiversité afin d’estimer rationnellement les coûts légitimes de sa protection. L’évaluation économique, qui se présente d’emblée sur un mode quantitatif, serait alors un outil précieux. Dans ce texte, nous présentons différentes méthodes d’évaluation économique (...) de la biodiversité ainsi que certaines de leurs limites méthodologiques. Par la suite, nous montrons qu’en dépit de ses avantages pratiques, l’évaluation économique échoue à représenter l’ensemble des valeurs en jeu dans la protection de la biodiversité. Nous décrivons alors trois types de valeurs incommen- surables avec des bénéfices économiques : la valeur de legs, qui renvoie aux obligations de trans- mission du patrimoine naturel dont nous avons hérité ; la valeur d’existence, qui renvoie à la considération morale d’intérêts autres que ceux des êtres humains ; la valeur de transformation, qui renvoie à la capacité d’examiner et de critiquer nos préférences et inclinaisons afin d’inclure celles-ci dans une vision du monde rationnelle et cohérente. Pour conclure, nous plaidons en faveur de l’élaboration de méthodes de concertation et d’évaluation participatives et pluralistes permettant de rendre compte de la diversité et de l’hétérogénéité des valeurs de la biodiversité. (shrink)

It is sometimes said that simulation can serve as epistemic substitute for experimentation. Such a claim might be suggested by the fast-spreading use of computer simulation to investigate phenomena not accessible to experimentation (in astrophysics, ecology, economics, climatology, etc.). But what does that mean? The paper starts with a clarification of the terms of the issue and then focuses on two powerful arguments for the view that simulation and experimentation are ‘epistemically on a par’. One is based on the claim (...) that, in experimentation, no less than in simulation, it is not the system under study that is manipulated but a system that ‘stands-in’ for it. The other one highlights the pervasive use of models in experimentation. It will be argued that these arguments, as compelling as they might seem, are each based on a mistaken interpretation of experimentation and that, far from simulation and experimentation being epistemically on a par, they do not have the same epistemic function, do not produce the same kind of epistemic results. (shrink)

Making sense of modeling: beyond representation Content Type Journal Article Category Original paper in Philosophy of Science Pages 335-352 DOI 10.1007/s13194-011-0032-8 Authors Isabelle Peschard, Philosophy Department, San Francisco State University, 1600 Holloway Ave, San Francisco, CA 94132, USA Journal European Journal for Philosophy of Science Online ISSN 1879-4920 Print ISSN 1879-4912 Journal Volume Volume 1 Journal Issue Volume 1, Number 3.

Functional diversity holds the promise of understanding ecosystems in ways unattainable by taxonomic diversity studies. Underlying this promise is the intuition that investigating the diversity of what organisms actually do—i.e. their functional traits—within ecosystems will generate more reliable insights into the ways these ecosystems behave, compared to considering only species diversity. But this promise also rests on several conceptual and methodological—i.e. epistemic—assumptions that cut across various theories and domains of ecology. These assumptions should be clearly addressed, notably for the sake (...) of an effective comparison and integration across domains, and for assessing whether or not to use functional diversity approaches for developing ecological management strategies. The objective of this contribution is to identify and critically analyze the most salient of these assumptions. To this aim, we provide an “epistemic roadmap” that pinpoints these assumptions along a set of historical, conceptual, empirical, theoretical, and normative dimensions. (shrink)