Training courses

Bayesian Network analysis and the social-cultural dimension

7 - 11 December 2020
ICES HQ, Copenhagen, Denmark

Application deadline: 26 October 2020

​​​​​​​​​​​​​Bayesian Networks (BNs) are a flexible modelling method that can be used in various ways to address different types of research questions. 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 objective of the course is to learn how Bayesian Networks can be used in analyzing socio-ecological systems. The course introduces the theoretical background and principles of BNs and probabilistic modelling. Major part of the course will be covered by a collaborative case-study in which we go through the modelling steps from problem framing to model construction and parameterization. 

​After the course, the student can:

  • explain what Bayesian Networks (BN) are and how they work
  • frame a socio-ecological research question as a BN model
  • evaluate theoretical, scientific, and cognitive factors that need to be considered when designing an interdisciplinary BN model
  • use a readily available software package to build a BN
  • find and evaluate information sources to populate the model​
Pre-required knowledge: No previous knowledge of Bayesian modelling or any specific software product is required.​​

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Laura Uusitalo, Finnish Environment Institute, Finland

Laura has been working with Bayesian networks for 20 years, and has degrees both in aquatic ecology and computer science. She works as a leading researcher in Finnish Environment Institute, and her current interests include decision support systems, interdisciplinary research, and machine learning.

Päivi Haapasaari, University of Helsinki, Finland. 

Päivi works as a professor in multidisciplinary risk analysis at the University of Helsinki. Her academic background is in environmental social sciences.  Her research covers social scientific and inter/transdisciplinary approaches to marine environmental problems and resource use, using e.g. Bayesian networks.

Tuition fees:​
750 EUR for participants from ICES member countries
1250 EUR for participants from non-ICES member countries

Following application submission, please await notification from the course coordinator prior to making travel arrangements.​
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Bayesian Network analysis and the social-cultural dimension

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