HS-ChemEco

Environmental price prediction via interpretable machine learning models of chemical emissions.

Developed within the HOLOSS Innovation Pipeline (HOLOSS and HOLOSS RESEARCH)

This tool was developed within the HOLOSS Innovation Pipeline (HOLOSS and HOLOSS RESEARCH), integrating scientific research, computational methods and digital tool development into practical solutions for sustainability assessment.

How to cite this tool

When using this tool in scientific or technical work, please cite:

[Author(s)]. ([Year]). [Title of the article]. [Journal Name], [Volume]([Issue]), [pages]. [DOI]

ChemEcoApp – Predict Environmental Price (€/kg)

This tool uses a machine learning model to predict the environmental price (€/kg) of emissions of a given chemical into different environmental compartments (Air, Soil, Inland Waters, Marine Waters), across three emission scenarios: lower, median, and upper.