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

AI
reproducibility
AI+Science Summer School, University of Chicago Data Science Institute.
Published

July 15, 2024

AI+Science Summer School, University of Chicago Data Science Institute, July 15–19, 2024. Viviana Romero-Alarcon and Liam Revell, University of Massachusetts Boston. Expected results, impact, and the data, software and ethics policy (pre-registered analysis, MIT and GPL v3 open-source code).

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

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