A new era for ERA? Using Bayesian Network Models to improve ERA, with Jannicke Moe

Credit: antishock – stock.adobe.com

“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.

Listen on iTunes or YouTube.

Read More »

No small deal: Evaluating nanomaterials with alternatives assessment, with Rune Hjorth

Zn nanoflowers
Zinc nanoflowers combined with graphene oxide layers help to extend battery life (scanning EM image). Credit: Dilek Ozgit, Engineering, Cambridge Univ., CC BY-NC-ND 2.0.

Nanomaterials are small but key components in consumer products like electronics, sunscreens, and antimicrobial clothing, just to name a few. Despite their widespread use, scientists are still struggling to assess their potential hazards, with regulatory policy hinging on these assessments. Author Rune Hjorth discusses how alternatives assessment frameworks can be adapted to evaluate nanomaterials. Access the article, “The applicability of chemical alternatives assessment for engineered nanomaterials,” in the January 2017 issue of IEAM.

Listen on iTunes or YouTube.

Read More »