MuST 9: Evidence, Inference, and Risk
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Keynote Speakers

Lisa Bero is Professor in the Faculty of Pharmacy at the University of Sydney. As a researcher in evidence-based health care she leads the multidisciplinary Bias and Research Integrity Node at the Charles Perkins Centre. Prior to joining the University of Sydney in 2014, she was Professor at the Department of Clinical Pharmacy and Institute for Health Policy Studies, University of California San Francisco (UCSF). Lisa Bero’s research program addresses foundational questions including: What is evidence? And how can we promote the use of evidence in decision making while taking into account the social, political, and ethical context of decisions? Her expertise lies in investigating hidden biases in the design, conduct, and publication of research. Her interest in the use of medicine in low-resource settings has seen her working extensively with the WHO as Chair of the Essential Medicines Committee, helping assess research submissions for categorisation of essential medicines. For more information, visit her website.

Julian Reiss is Professor of Philosophy at Durham University and Co-Director of the Centre for Humanities Engaging Science and Society (CHESS). He holds a licentiate (MSc) in Economics and Finance from the University of St Gallen, Switzerland, and obtained his PhD degree in Philosophy at the London School of Economics (LSE) in 2002. Before joining Durham University Julian Reiss was Associate Professor at the Faculty of Philosophy at Erasmus University Rotterdam until 2012. His main research interests are methodologies of the sciences (especially causality and causal inference, models, simulations and thought experiments, and counterfactuals), philosophy of economics, and science and values. He just published the book Causation, Evidence, and Inference (Routledge Studies in the Philosophy of Science, 2015). For more information, visit his website.

Glenn Shafer is Professor at the Rutgers Business School – Newark and New Brunswick. He obtained his Ph.D. in mathematical statistics in 1973 from Princeton University. During is academic life he made numerous contributions to mathematics, statistics, and finance. He is one of the founding fathers of the Dempster-Shafer-Theory, which is a mathematical framework for modeling epistemic uncertainty. Among his most recent books "Probability and Finance: It's Only a Game!" (2001, co-authored by Vladimir Vovk) provides a foundation for probability based on game theory rather than measure theory. "Algorithmic Learning in a Random World" (2005), a joint work with Vladimir Vovk and Alex Gammerman, describes how several important machine learning problems, such as density estimation in high-dimensional spaces, cannot be solved if the only assumption is randomness. Glenn Shafer has research interests in a great number of fields which led to publications in journals in statistics, philosophy, history, psychology, computer science, economics, engineering, accounting, and law. For more information, visit his website.

Jon Williamson is Professor of Reasoning, Inference, and Scientific Method in the philosophy department at the University of Kent in Canterbury. He has research interests in the philosophy of causality, the foundations of probability, logics and reasoning, and the use of causality, probability and logics in artificial intelligence. Currently, he is the principal investigator of two projects on evidence; one projects investigates the use of evidence in medicine, the other concerns evidence in biology and physics. He is a strong advocate of mechanistic reasoning to support medical decision making. For more information, visit his website.