Today the UK funding bodies have published the results of the UK’s most recent national research assessment exercise, the Research Excellence Framework (REF) 2021. Research from the Mathematical Institute and the Department of Statistics in Oxford was submitted together under Unit of Assessment 10. Overall, 78% of our submission was judged to be 4* (the highest score available, for research quality that is world-leading in terms of originality, significance, and rigour).
Among the highlights of the research impact case studies we submitted are:
- the use of rough path theory to improve the effectiveness of machine learning in Chinese handwritten character recognition for mobile phones
- the use of homogenisation theory and asymptotic analysis in the mathematical modelling of filtration to improve the effectiveness of filters in both commercial applications and the removal of arsenic in groundwater contamination
- statistical analysis of Covid-19 epidemiological data in the early days of the pandemic, including the statistical design and analysis of REACT studies for the assessment of community transmission.
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Oxford statisticians take part in PKU–Oxford conference on quantitative finance and data science
Researchers from the University of Oxford’s Department of Statistics were among those taking part in a joint conference with Peking University in April, bringing together academics working across quantitative finance, data science and related areas.
Professor Christl Donnelly awarded RSS Guy Medal in Silver
Oxford statistician Christl Donnelly has been awarded the Royal Statistical Society’s (RSS) Guy Medal in Silver in recognition of her outstanding contributions to the development and application of statistical and biomathematical methods to the analysis of infectious diseases.
