Science of Science

The research field called Science of Science wants to uncover structural patterns within scientific research itself. Where this work has traditionally leaned on large-scale citation networks, our research now follows two fundamental directions. First, we use large language models to study science, turning it to the actual content of publications to read and analyse scientific literature at scale. Second, we study the impact of large language models on science itself, as these tools begin to reshape how research is produced, evaluated, and communicated. Underpinning both directions are the core values that guide all our research: a commitment to data quality, open science, and reproducibility, built on openly available databases. Our broader aim is to guide scientific progress with evidence-driven policy recommendations.

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