CORDIS Project
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This project develops new statistical methods to improve the analysis of large, heterogeneous datasets across various industries. It focuses on addressing issues like sampling bias, data integration, and privacy concerns to enhance the reliability of evidence-based decision-making.
Data is now collected at unprecedented scales across many industries, meaning that there is huge potential for evidence-based advances in science, technology and public policy.
However, to harness this potential we must navigate repositories that are often a far cry from the idealised datasets, carefully collected and curated under perfect conditions, that are usually imagined when new statistical methodology is introduced.
Data are often gathered quickly and cheaply, patched together from multi…
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