Research

Research excellence at the University of Kent


Mathematical Sciences (UOA 10)

Kent submitted to this REF unit of assessment research undertaken by the School of Mathematics, Statistics and Actuarial Science in the Faculty of Sciences.

Key highlights

Mathematical sciences was ranked 25th in the UK for research power.

  • An impressive 92% of our research-active staff submitted to the REF.
  • 100% of the research submitted was judged to be of international quality.
  • The School’s environment was judged to be conducive to supporting the development of world-leading research.

 

Overall quality profile

You can find more about the REF, its assessment critera and marking scheme on our What is the REF? page.

% 4* % 3* % 2* % 1* % u/c FTE
10 62 28 0 0 33.08

Sub-profiles

Sub-profiles % 4* % 3* % 2* % 1* % u/c
Outputs 6.8 65 28.2 0 0
Impact 20 50 30 0 0
Environment 10 65 25 0 0

 

Impact

The following are summaries of the impact case studies submitted to demonstrate Kent research making a difference.

Credit

Statistical tools for ecologists

Takis Besbeas, Stephen Freeman, Gututzeta Guillera- Arroita, Byron Morgan, Martin Ridout

Reliable data is essential for the conservation of wild animal populations and the preservation of biodiversity. Statistical ecology research at Kent has allowed ecologists to collect higher-quality data in more efficient ways and has given them access to new methods for data analysis.
Muscles

Detecting growth hormone misuse

School of Mathematics, Statistics and Actuarial Science: Dr Eryl Bassett

Growth hormone administration can enhance athletic performance, but it can also have serious medical side effects and has been banned in sport for many years. However, its misuse is difficult to detect since the substance occurs naturally in the body in varying degrees and is quickly eliminated.

Flow

Statistical methods of calibration

Professor Jim Griffin, Professor Stephen Walker, Dr Xue Wang, Dr Maria Kalli

Statisticians at Kent have come up with a new way to calibrate industrial measuring instruments. These instruments – typically flow meters and density meters – need to be extremely precise and this is reliant on accurate calibration, often an expensive and time-consuming process.
Public access

Public access to mathematical functions

School of Mathematics, Statistics and Actuarial Science: Professor Peter Clarkson

The Digital Library of Mathematical Functions (DLMF) provides detailed information about mathematical functions for engineers, scientists and the general public. Published online (freely available) and as a book by Cambridge University Press, it plays a vital role in supporting the development of new technologies.


Image attribution: Lin Mei, Vladimer Shioshvili

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The University of Kent, Canterbury, Kent, CT2 7NZ, T: +44 1227 764000

Last Updated: 24/11/2016

Banner photo (c) Simon Tollington, DICE