Members of the EarthChem team presented multiple posters at the AGU Fall Meeting 2020.

An exciting Machine Learning/ AI experiment was presented by Arokium et al. as part of the CCNY Computer Science Masters Program. The team developed a logistic regression algorithm that successfully predicted whether two samples from PetDB are identical 86% of the time. The algorithm will be used to improve PetDB data entry and sample search capabilities.

EarthChem Communities were highlighted in a poster by Profeta et al., requesting feedback on how the future Volcanology Community should be set up.

EarthChem was also present at the ESIP Data Help Desk, providing video tutorials on the overview of our systems and why researchers should share their data through the EarthChem Library repository.