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Leveraging the power of AI to improve replicability, reproducibility, and transparency in phylogenetic comparative biology

AI
reproducibility
Computational Molecular Evolution course, Heraklion, Greece.
Published

May 5, 2025

Computational Molecular Evolution, Heraklion, Greece, 2025. Viviana Romero-Alarcon and Liam Revell, University of Massachusetts Boston. Covers the phyloSophR and Guane projects: quantifying reproducibility, an intelligent assistant for pre-registered workflows, and open-source software.

Poster on using AI to improve replicability, reproducibility and transparency in phylogenetic comparative biology, with workflow diagrams.

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