Titlebook: Characterizing the Robustness of Science; After the Practice T Léna Soler,Emiliano Trizio,William Wimsatt Book 2012 Springer Science+Busine

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Energieumwandlung und Emissionen,ntists encountered, their aims for constructing models, and the complexity of proteinic objects. Next, I analyze precisely, by using Levins’ framework, the nature of the procedure of modeling by showing how the theoretical, empirical and computational limited resources used impact the nature of the

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S. Coenen,F. Hoffmann,B. Weigeld, and I argue, with examples at both micro- and macro-scales, that we should not assume that there is one best machinic grip that science is destined to find. My suggestion is that a novel and non-representational sort of ‘machinic incommensurability’ continually bubbles up in science, at all scale

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M. Anthuber,W. R??ler,W. F. Wieland,C. Zülkess and realism? My central claim, supported by a diverse body of literature, is that robustness is deeply related to fragility. Rather than vanquishing fragility, complex robustness shifts its location. More than that, complex robustness can actually generate fragility where none existed before.

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Achieving Robustness to Confirm Controversial Hypotheses: A Case Study in Cell Biology,ith this technique, the scientific community still does not deem the currently available evidence sufficient to revise the well-established and so far unchallenged model of clathrin-mediated endocytosis. The aim of ongoing research is thus to crosscheck the results of fluorescence microscopy by mean

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Multiple Derivability and the Reliability and Stabilization of Theories,il. Robustness may come in degrees. This can be argued when using the definition of MD in which emphasis is given to theoretical and technical independence of two methods that make it possible to infer the same theory. The degree in which two methods differ in this background and principles determin

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,Robustness of an Experimental Result: The Example of the Tests of Bell’s Inequalities,onal assumption is used due to the fact that a part of the experimental set-up is not 100% efficient. This leads to the detection loophole. Second, the experiments do not fulfill one of the requirements of the theorem, for example the locality condition. This leads to the locality loophole. Conseque

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,: Robustness and Discordant Multimodal Evidence,dal evidence has been explicated (Section 9.2). Another way in which multimodal evidence is said to be valuable is based on the notion of security (Section 9.3). An empirical challenge for robustness is that when multimodal evidence is available for a particular hypothesis, it is often discordant (S