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Sciscinet-v2, large-scale integrated datalake for science of science
Sciscinet-v2 is a refreshed update to SciSciNet which is a large-scale, integrated dataset designed to support research in the science of science domain.
Research portfolio
Projects
Longer arcs of work across AI for science, scientometrics, reproducibility, and research tooling.
Featured project
Pre-review to Peer review | Pitfalls of Automating Reviews using Large Language Models
Systematically assessing scholarly works to identify novel, generalizable, and reproducible science
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Selected work
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ReSci-Agent | Agentic PeerReview
Systematically assessing scholarly works to identify novel, generalizable, and reproducible science
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Large language models for Scientometrics
Experiments, and how-to guide for the lecture "Large language models for Scientometrics
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Navigating the Landscape of Reproducible Research, A Predictive Modeling Approach
CIKM-24 Full-paper | Navigating the Landscape of Reproducible Research, A Predictive Modeling Approach