22/04/2026
🚨 New 🚨
👉 Thematic Volume: "Machine Learning in Paleontology: from data to insights"
👉 Publication Year: 2026
PEAPA invites submissions for a special dedicated to in Paleontology, focusing on rigorous, transparent, and reproducible applications of data science across the paleontological sciences. As machine learning (ML) and deep learning (DL) become increasingly prominent tools in the analysis of fossil data, there is a growing need for methodological clarity, robust evaluation, and domain-aware implementations that truly advance paleobiological understanding.
✔️ Researchers from , , , and related fields are invited to contribute to this landmark volume aimed at setting methodological standards for the next generation of quatitative paleobiology.
⚠️ DEADLINE: May 31st, 2026
🔗 For more information and inquiries visit: https://buff.ly/cpL38hO