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“Not difficult, just different,” is how one author in the latest IEAM podcast describes Bayesian Network models (BNs) to researchers that are unfamiliar with—and often intimidated by—them. A recent special series aims to dispel the esoteric aura that surrounds this approach by showing how BNs have improved ecological risk assessments in the past 20 years, with the goal of encouraging more practitioners to employ BNs and continue evolving the practices of ERA and environmental management. The Guest Editors of the series are Jannicke Moe, John Carriger, and Miriam Glendell.
Guest Editor Jannicke Moe talks to us about advantages of BNs, recent developments, and highlights the research presented in the series—10 articles demonstrating the application of BNs to various environmental assessment and management scenarios involving climate change, ecological and socioeconomic endpoints, machine learning, diagnostic inference, and model evaluation.Read More »