This group studies science from a quantitative perspective, using methods ranging from mathematical analysis and computer simulation to statistical analysis, network analysis, text mining, and visualization.
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This group analyses the politics and practices of research evaluation in connection with contemporary forms of governance of research and scholarship.
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This group aims to further improve our empirical understanding of science-based innovation, productive relationships, knowledge flows, and other added values of research universities.
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