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Dunja gives a course on the Social Epistemology of Scientific Disagreements at the Summer School on Mathematical Philosophy at the LMU in Munich. The course will feature many topics from the domain, including peer disagreement, higher-order evidence, Agent-Based Modeling and much more.
Scientific disagreements are an important catalyst for scientific progress. However, unless handled with care, they can result in scientific polarization, fragmentation of the domain, ambiguity for policy-makers, and the loss of public trust in science. How, then, should scientists handle disagreements? This question concerns not only how individual scientists should rationally respond to disagreements with their peers, but also how such responses impact collective inquiry. In this course, we will look into central issues discussed in the Social Epistemology of Scientific Disagreement: from informal discussions on peer-disagreement and epistemic tolerance to computational approaches based on agent-based modeling. Throughout the course, we will discuss various examples of scientific disagreements in both standard research contexts and the high-stakes context of “fast science”.
Here are some slides.