This article explores some of the roles of computer simulation in measurement. A model-based view of measurement is adopted and three types of measurement—direct, derived, and complex—are distinguished. It is argued that while computer simulations on their own are not measurement processes, in principle they can be embedded in direct, derived, and complex measurement practices in such a way that simulation results constitute measurement outcomes. Atmospheric data assimilation is then considered as a case study. This practice, which involves combining information (...) from conventional observations and simulation-based forecasts, is characterized as a complex measuring practice that is still under development. The case study reveals challenges that are likely to resurface in other measuring practices that embed computer simulation. It is also noted that some practices that embed simulation are difficult to classify; they suggest a fuzzy boundary between measurement and non-measurement. 1 Introduction2 A Contemporary View of Measurement3 Three Types of Measurement4 Can Computer Simulations Measure Real-World Target Systems?5 Case Study: Atmospheric Data Assimilation5.1 Why data assimilation?5.2 A complex measuring practice under development5.3 Epistemic iteration6 The Boundaries of Measurement7 Epistemology, Not Terminology. (shrink)

Today’s scientific imaging technologies are able to detect and image emissions and radiations from a much wider range of the electromagnetic spectrum than ever before. Such phenomena lie beyond the horizons of ordinary human perceptibility. I examine here the implications of such translation mediations for the production of scientific knowledge and show how human embodiment is implicit for all perceptual observational possibilities. The framework is that of a postphenomenology which is able to relate these new phenomena to human embodiment.

Husserl’s Crisis argues that early modern science, exemplified in Galileo, separates the Lifeworld from a world of science by forgetting its origins in bodily perception on the one side, and the practices which found the science on the other. This essay argues that, rather, by overemphasizing mathematization and underemphasizing instruments or technologies which mediate perception, Husserl creates the division he describes. Positively, through the embodied use of instruments science remains thoroughly immersed in the Lifeworld.

A number of philosophers have argued that a naturalized epistemology cannot be normative, and thus that the norms that govern science cannot themselves be established empirically. Three arguments for this conclusion are here developed and then responded to on behalf of naturalized epistemology. The response is developed in three stages. First, if we view human knowers as part of the natural world, then the attempt to establish epistemic norms that are immune to scientific evaluation faces difficulties that are at least (...) as severe as the purported difficulties for naturalized epistemology. Second, some examples of the ways in which norms are proposed and evaluated in the course of scientific research are considered and it is concluded that science has no need for trans?scientific norms. Finally, the three arguments introduced at the outset have no force when they are viewed in the light of the preceding discussion. (shrink)

First Published in 2008. Routledge is an imprint of Taylor & Francis, an informa company.

Frente a interpretaciones que destacan varias etapas de evolución del pensamiento husserliano queremos mostrar la manera en que las preocupaciones fundamentales de su filosofía, la fundamentación de la ciencia, el significado de la objetividad, la lucha contra el empirismo, marcan desde el comienzo su camino. Nos centramos en el tema de la normalidad como punto de entrada a una interpretación no reduccionista del tema de la intersubjetividad, como constitución del yo a través del otro, como resultado de una anormalidad fundante, (...) y del mundo de la vida como base para realizar una comparación con las interpretaciones del profesor Guillermo Hoyos en su libro Investigaciones fenomenológicas. (shrink)