Applications and future developments of Bayesian Networks in risk and impact assessments and environmental decision making
Bayesian Networks is a type of probabilistic modelling with wide applications in science and decision making. BNs is a modelling framework that enable us to integrate evidence to inform decisions, based on causal relations between decision, state and impact variables. BNs allows integration of data and expert knowledge.
This workshop will demonstrate the application of BNs in risk and impact assessment and environmental management, and, discuss and critically reflect on the developments and applications of BNs in research and decision making, with case studies.
The first part of the workshop will be an open seminar with invited and contributing talks. If you want to contribute with a talk, please send the title of your talk to ullrika [dot] sahlin [at] cec [dot] lu [dot] se.
The second part of the workshop will be discussions with those interested with the aim to produce the bases of at least two scientific papers. If you want to take part in the second part, you should inform the organizers of your interest before the workshop, and preferably contribute with a talk to the workshop.
Wayne Landis, Western Washington University, United States. Wayne is a Professor in Environmental Science and a Director of the Institute of Environmental Toxicology at Western Washington University. He has over 20 years of experience in ecological risk assessment research, using Bayesian networks to guide decision making.
Sakari Kuikka, University of Helsinki, Finland. Sakari is a Professor in fisheries science and a head of the Fisheries and Environmental Management Group research group.
The workshop is organized by Ullrika Sahlin (Lund University Centre of Environmental and Climate Research) and Hazel Indrani Govender (visiting Erasmus Mundus PhD student from Durban University of Technology, Durban, South Africa). Funding from the research school ClimBEco is appreciated.