The purpose of this conference is to bring together researchers and professionals working with or interested in Bayesian methods. Bayes@Lund aims at being accessible to researchers with little experience of Bayesian methods while still being relevant to experienced practitioners. The focus is on how Bayesian methods are used in research and in the industry, what advantages Bayesian methods have over classical alternatives, and how the use and teaching of Bayesian methods can be encouraged.

A talk can be on any topic related to Bayesian methods including, but not restricted to:

• Case studies. Have you used Bayesian methods in your research? Describe what you did, and how it worked out.
• Method development. Are you developing novel Bayesian methods that you want to share?
• Teaching Bayes. Do you have experiences teaching Bayesian methods? What was the challenges, and do you have any useful tips?

Each accepted speaker is given 20 minutes and, as the audience will be highly heterogeneous, the talk is expected to be accessible and engaging for a multidisciplinary audience.

Short tutorials are 10/20/30 minutes long tutorials where you introduce the audience to a tool, package or methodology you find useful. It doesn’t need to be something you’ve developed, just something you want to show the audience!

To contribute a presentation or short tutorial for Bayes@Lund, please send in the title of your talk/tutorial with an abstract (no more than 100 words) to rasmus.baath@gmail.com. For a short tutorial, also indicate how much time you want (10/20/30 min.). The final date for submissions is 11th of February.

For more information about the conference, please visit bayesat.github.io/lund2018/bayes_at_lund_2018.html.