Tag Archives: data science

MAGIC Research Project – Programming towards risk assessment

Environmental risk assessment only goes as far as data availability allows it. In this post, ecotoxicology student Larissa Herrmann shares her research project in the MAGIC working group at Uni Koblenz-Landau. She gained insight into programming in Python and R with the goal to make ecotoxicological data readily available for meta-analyses and risk assessments. Ultimately, a tool is developed that is applicable to a broad spectrum of pesticide registration reports.

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Standartox – Standardizing Toxicity Data

In this post, Andreas Scharmüller introduces Standartox, a tool that continuously incorporates the ever-growing number of ecotoxicity test results in an automated process workflow. It provides single aggregated data points for a specific chemical-organism test combination that represents the toxicity of a chemical. These values can be used for the derivation of toxic units (TU) or species sensitivity distributions (SSD).

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