String Theory and the Scientific Method

12/10/13 • 54 min

Center for Advanced Studies (CAS) Research Focus Reduction and Emergence

For the last thirty years, string theory has played a highly influential role in fundamental physics without having found empirical confirmation. The presentation will analyze reasons for the high degree of trust many physicists have developed in a theory that, according to classical standards of theory assessment, would have to be called an unconfirmed speculation. It will be argued that the case of string theory suggests a new perspective on our understanding of theory confirmation in general. In the last part of the talk, some implications for the scientific realism debate and the question of reduction in science shall also be addressed. | Center for Advanced Studies: 10.12.2013 | Speaker: Dr. Richard Dawid | Moderation: Prof. Dr. Stephan Hartmann

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Cross-Level Linkages in Neurobiology

[Conf.] Reduction and emergence play a central role in the relations of scientific theories and disciplines. Unfortunately, the discussion about reduction and emergence suffers from two uncertainties at once. On the one hand the concepts of reduction and especially emergence are not precisely defined, on the other hand there are few if any uncontentious cases of reduction or emergence in the sciences. This conference will bring together philosophers of science and scientists of different disciplines with the aim of addressing the inter- and intratheoretic relations of specific theories and providing precise notions of such relations for the application in the sciences. These relations can then serve as a basis for explications of reduction and emergence that are applicable in the sciences. | Center for Advanced Studies & Munich Center for Mathematical Philosophy: 14.-16.11.2013

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Chaos beyond the Butterfly Effect

The sensitive dependence on initial condition associated with chaotic models, the so-called "Butterfly Effect", imposes limitations on the models’ predictive power. These limitations have been widely recognized and extensively discussed. In this lecture, Roman Frigg will draw attention to an additional so far under-appreciated problem, namely structural model error (SME). If a nonlinear model has only the slightest SME, then its ability to generate useful prediction is lost. This puts us in a worse epistemic situation: while we can mitigate against the butterfly effect by making probabilistic predictions, this route is foreclosed in the case of SME. Roman Frigg will discuss in what way the description of problems affects actual modeling projects, in particular in the context of making predictions about the local effects of climate change. | Center for Advanced Studies & Munich Center for Mathematical Philosophy: 10.01.2014 | Speaker: Dr. Roman Frigg