This 9th conference of the Munich-Sydney-Tilburg (MuST) conference series aims at gathering philosophers and scientists of the natural and social sciences in order to examine the theoretical and methodological issues involved in evidence evaluation, statistical inference and causal inference in relation to risk assessment and management in various disciplines, with a special attention to pharmacology. In particular, following questions will be on focus:
How should we collect, evaluate, and use evidence for the purpose of risk management and prevention? What methods should be adopted in causal inference for preventing harm? What kinds of scientific inferences are we allowed to draw from data-mining techniques? What are the relevant decision-theoretic dimensions involved in different kinds of risks, and what kinds of decision rules are more advisable in diverse contexts? What types of uncertainties can we identify when dealing with hazards?
These questions raise methodological concerns related to the data and tools available for risk measurement and modeling, the right kinds of interventions we should adopt in order to prevent or minimize it, and the best ways to gather, evaluate and combine different sources of knowledge. Furthermore, they are intimately connected with epistemological issues in the philosophy of science, and the foundations of statistics and probability.
Pharmacology is a particularly interesting field of investigation in these respects. Together with revolutionary successes, e.g. the discovery of penicillin, the history of pharmacology is also characterized by a series of tragic disasters (from the thalidomide to the rofecoxib case), which showcase the extreme variance of its scientific performance. Furthermore, pharmaceutical decisions are set in a complex environment where scientific uncertainty, conflicts of interests, and regulatory constraints strongly interact. The workshop intends to investigate these phenomena in light of the current methodological and philosophical debate.
Find more details on the MuST 9 conference website here.