Climate change and knowledge politics

This paper addresses the paradox that although the Intergovernmental Panel on Climate Change has reached a broad consensus, various governments pursue different, if not opposing policies. This puzzle not only challenges the traditional belief that scientific knowledge is objective and can be more or less directly translated into political action, but also calls for a better understanding of the relation between science and public policy in modern society. Based on the conceptual framework of knowledge politics the use of expert knowledge in public discourse and in political decisions will be analysed. This will be carried out through a country comparison between the United States and Germany. The main finding is that the press in both countries relies on different sources of scientific expertise when reporting on global warming. In a similar way, governments in both countries use these different sources for legitimising their contrasting policies.

Steps and bumps:precision extraction of discrete states of molecular machines

We report statistical time-series analysis tools providing improvements in the rapid, precision extraction of discrete state dynamics from time traces of experimental observations of molecular machines. By building physical knowledge and statistical innovations into analysis tools, we provide techniques for estimating discrete state transitions buried in highly correlated molecular noise. We demonstrate the effectiveness of our approach on simulated and real examples of steplike rotation of the bacterial flagellar motor and the F1-ATPase enzyme. We show that our method can clearly identify molecular steps, periodicities and cascaded processes that are too weak for existing algorithms to detect, and can do so much faster than existing algorithms. Our techniques represent a step in the direction toward automated analysis of high-sample-rate, molecular-machine dynamics. Modular, open-source software that implements these techniques is provided.