Scientists do not often question the scientific methods used to generate the causes and laws in their particular scientific models. This research project investigates leading scientific methods, and their related complex theory and assumptions and limitations. Better understanding the limits of using particular methods in the sciences such as mathematics and statistics is important for research and policy, because these methods can often lead to some degree of biased results and scientists using them at times misguidedly claim to establish causal relationships. By combining theoretical, methodological and empirical analysis, this research project aims to help disentangle the links between the actual methods applied by scientists and the causal effects and scientific laws they claim to identify using these methods.
Alexander Krauss is a Marie Curie Research Fellow, with his research financed by the European Commission. Alexander has also taught at University College London. His postdoc research focuses largely on the limits of science and scientific methodology. He has a Bachelor's in Philosophy, a Master's in Philosophy, as well as in Political Science, and a PhD in Development Economics.