We are currently planning the activities within the Pufendorf Advanced Study Group Quantifying and Communicating Uncertainty: Challenges and Opportunities. This will be a year with plenty of opportunities to boost your Bayesian knowledge and experience. There will be courses and invited lectures. Info are continuously posted at the website of the ASG.
The goal of the Advanced Study Group at Pufendorf Institute in Lund is to advance the understanding of Bayesian methods of data analysis for quantification and communication of uncertainty. Uncertainty is inherent in the scientific process and especially crucial to quantify and communicate effectively when it affects health, safety, and the environment. To this end we propose an interdisciplinary effort aimed at determining how Bayesian methods can be used more effectively when evaluating competing propositions in the face of uncertainty. Special focus will not only be put on how Bayesian methods can help solve the restrictions of classical analysis methods, but also on how challenges of doing Bayesian data analysis, both practical and conceptual, can be addressed.
Members of this group are:
Jonas Björk (Department of Laboratory Medicine)
Rasmus Bååth (Department of Philosophy)
Johan Lindström (Centre for Mathematical Sciences)
Geoffrey Patching (Department of Psychology)
Kurt Petersen (Division of Risk Management)
Umberto Picchini (Centre for Mathematical Sciences)
Krzysztof Podgorski (Department of Statistics)
Nils-Eric Sahlin (Faculty of Medicine)
Ullrika Sahlin (Centre of Environmental and Climate Research)
Martin Stjernman (Department of Biology)