Post by Computational Science NL

📡 From messy data to global insights: New work published by Zehao Lu, Thijs van der Plas, et al. focuses on automating ecological data collection. Special thanks to W. Daniel Kissling from the Biodiversity & Macroecology group at UvA (University of Amsterdam) for submitting this to our content call! The core idea: Using Large Language Models (LLMs) to automatically harvest and standardize messy ecological metadata across diverse online repositories. Why it matters: It eliminates massive manual bottlenecks. By converting unstructured data into interoperable formats, this AI framework accelerates biodiversity research and helps build ecological digital twins. This is a great example of computational science in action: using smart algorithms to tackle large-scale scientific challenges. 👉 Full paper in the comments #ComputationalScience #Netherlands #Research #Ecology #AI #Biodiversity #UvA #FAIRdata