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2025 SCU Conference Registration https://scu.regfox.com/2025-scu-confe... More information about our conference can be found on our website at https://www.explorescu.org/conferences Abstract: One of the great strengths of science is its care and conservatism, which ideally is exemplified through the processes of repeatability, which promises to ensure that when science has got things right, it is demonstrably right! However, this strategy faces challenges when the phenomena under study are not reliably repeatable. Things go further awry when the prior probability for a set of hypotheses is much smaller than the hypothesis that the data could be in error. In these situations, no data is sufficient to convince a reasonable person that the unthinkable is taking place. This talk will address theses issues in detail, identify important historical situations in which science got it very wrong, and make suggestions as to how science can do a better job of understanding the world around us. As Copernicus or Galileo might have suggested, the answer lies in scientists having some amount of humility. Bio: Prof. Kevin Knuth is an Associate Professor in the Department of Physics at the University at Albany (SUNY) and is the Editor-in-Chief of the journal Entropy (MDPI). He is a former NASA research scientist having worked for four years at NASA Ames Research Center in the Intelligent Systems Division designing artificial intelligence algorithms for astrophysical data analysis. He has over 20 years of experience in applying Bayesian and maximum entropy methods to the design of machine learning algorithms for data analysis applied to the physical sciences. His current research interests include the foundations of physics, quantum information, inference and inquiry, autonomous robotics, and the search for and characterization of extrasolar planets. He has published over 90 peer-reviewed publications and has been invited to give over 80 presentations in 14 countries. http://knuthlab.rit.albany.edu/