Training courses

Bayesian Network analysis including the socio-cultural dimension

27 November - 1 December 2017
ICES Secretariat, Copenhagen, Denmark

Bayesian Networks (BNs) are a flexible modelling method that can be used in various ways to address different types of research questions. 


This course will introduce the basics of Bayesian Network modelling and discuss how the method can be used to address questions related to social-ecological systems.

Their strength comprises the ability to combine different types of data and knowledge, as well as include, integrate and represent uncertainty. The graphical nature of BNs makes them easy to communicate across scientific disciplines, and to diverse groups of stakeholders.

The course will include hands-on exercises using free-of-charge software that the attendees are expected to install on their computers​ before the course.  During the course, the participants will also have a chance to discuss their own research questions, and get help and feedback for modelling them using Bayesian Networks.  


​No previous knowledge of Bayesian modelling or any specific software product is required, but a good working knowledge of personal computers is expected. ​

Print this pagePrint it Request newsletterSend to Post to Facebook Post to Twitter Post to LinkedIn Share it


Laura Uusitalo, Finnish Environment Institute, Marine Research Centre
Päivi Haapasaari, Fisheries and Environmental Management Group, University of Helsinki
Course fee:
750 Euros for ICES member country affiliated participants
1250 Euros for non-member country affiliated participants
c FollowFollow Focus on ContentFocus on Content
HelpGive Feedback

Bayesian Network analysis including the socio-cultural dimension

International Council for the Exploration of the Sea (ICES) · Conseil International pour l'Exploration de la Mer (CIEM)
ICES Secretariat · H. C. Andersens Boulevard 44-46, DK 1553 Copenhagen V, Denmark · Tel: +45 3338 6700 · Fax: +45 3393 4215 ·
Disclaimer Privacy policy · © ICES - All Rights Reserved