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Opening day
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Submission deadline
We invite you to submit a talk or a short tutorial to Bayes@Lund 2019 on a topic related to Bayesian methods in research as well as in a non-academic context, including, but not restricted to:
- Case studies. Have you used Bayesian methods in your work? Describe
what you did, and how it worked out. - Method development. Are you developing novel Bayesian methods or
software that you want to share? - Teaching Bayes. Do you have experiences teaching or introducing
Bayesian methods? What were the challenges, and do you have any
useful tips?
Each accepted speaker is given 20 minutes and, as the audience will be highly heterogeneous from different disciplines and from within and outside academia, the talk is expected to be accessible and engaging for a multidisciplinary audience.
Alternatively 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) by clicking "Submit new abstract" below.
