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Improved Insurance Products for the Multinational Insurance Industry

Summary of the impact

Our research has been applied directly by Aviva plc. to develop improved products in the general insurance market (e.g. household and car) and in the more specialised area of enhanced pension annuities. As a result, Aviva has become more competitive in these markets and customers are enjoying better value for money. In the case of enhanced annuities, the benefits are in the form of higher pension income for those accurately identified as facing shortened life expectancies. Aviva is the largest insurance company in the UK and the sixth largest in the world.

Submitting Institution

University of East Anglia

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Economic

Research Subject Area(s)

Mathematical Sciences: Statistics
Economics: Applied Economics, Econometrics

UOA13-03: Trace evidence analysis for Orchid Cellmark Europe Ltd

Summary of the impact

Material characterisation research in the UOA has helped Orchid Cellmark Europe Ltd (Cellmark) to deliver forensic services to 85% of the police forces in England and Wales. The work of the UOA has helped Cellmark to participate successfully in National Forensic Framework tendering exercises and to double their market share. The work of the UOA in partnership with Cellmark has been accredited by the UK Accreditation Service and the UOA now provides an average of 360 forensic glass analyses and 60 gunshot residue analyses to Cellmark each year. These analyses have secured, amongst others, convictions for perpetrators of serious gun crime.

Submitting Institution

University of Oxford

Unit of Assessment

Electrical and Electronic Engineering, Metallurgy and Materials

Summary Impact Type

Technological

Research Subject Area(s)

Chemical Sciences: Analytical Chemistry, Physical Chemistry (incl. Structural)
Engineering: Materials Engineering

UOA10-14: R, a free software environment for statistical computing and graphics

Summary of the impact

R is a free and open-source software programming language and software environment for expressing and implementing statistical algorithms and graphics. It has become the lingua franca for developing and implementing new statistical methodologies — not just in statistics, but in applications across the whole spectrum of industry, from marketing and pharmaceuticals to finance. It is used by companies for research, analysis and production. Its power in analysing and visualising data helps organisations from charities to government. About one half of the core statistical modelling and graphics engine included in R builds on research carried out in Oxford.

Submitting Institution

University of Oxford

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Statistics
Information and Computing Sciences: Artificial Intelligence and Image Processing, Computer Software

C4 - BUGS (Bayesian inference using Gibbs sampling)

Summary of the impact

The WinBUGS software (and now OpenBUGS software), developed initially at Cambridge from 1989-1996 and then further at Imperial from 1996-2007, has made practical MCMC Bayesian methods readily available to applied statisticians and data analysts. The software has been instrumental in facilitating routine Bayesian analysis of a vast range of complex statistical problems covering a wide spectrum of application areas, and over 20 years after its inception, it remains the leading software tool for applied Bayesian analysis among both academic and non-academic communities internationally. WinBUGS had over 30,000 registered users as of 2009 (the software is now open-source and users are no longer required to register) and a Google search on the term `WinBUGS' returns over 205,000 hits (over 42,000 of which are since 2008) with applications as diverse as astrostatistics, solar radiation modelling, fish stock assessments, credit risk assessment, production of disease maps and atlases, drug development and healthcare provider profiling.

Submitting Institution

Imperial College London

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Statistics

Economical Experiments for the Fuel Efficiency Industry

Summary of the impact

The petrochemical industry is eager to develop advanced fuels which improve fuel efficiency both for economic and environmental reasons. Statistics plays a crucial role in this costly process. Innovative Bayesian methodology developed by Gilmour was applied at Shell Global Solutions to data from fuel experiments to solve a recurring statistical problem. The usefulness of this approach to the wider petrochemical industry has been recognized by the industry-based Coordinating European Council (CEC) for the Development of Performance Tests for Fuels, Lubricants and other Fluids, who in their statistics manual have included Gilmour's method as an alternative to procedures in the ISO 5725 standard.

Submitting Institution

Queen Mary, University of London

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Economic

Research Subject Area(s)

Mathematical Sciences: Statistics
Economics: Applied Economics, Econometrics

Patients, organisations providing clinical guidelines, and commercial companies benefit from new approach to comparing multiple healthcare options

Summary of the impact

Patients are more likely to get the most effective healthcare, at affordable cost to the NHS, as a result of research methodology, developed by researchers at the University of Bristol, that allows the efficacy and cost-effectiveness of multiple treatment options to be compared, based on all the available evidence, much more efficiently than in the past. Since 2008, these methods have been used to inform Clinical Guidelines issued by the National Institute for Health and Care Excellence (NICE) and in submissions to NICE's Technology Appraisals. Guidance in NICE's Technology Appraisals is mandatory and therefore impacts directly on clinical practice. The methodology is used in decision making by NICE's equivalents in other countries including Canada, Germany, and South Korea, and by consultancy firms that conduct analyses for pharmaceutical companies.

Submitting Institution

University of Bristol

Unit of Assessment

Public Health, Health Services and Primary Care

Summary Impact Type

Health

Research Subject Area(s)

Medical and Health Sciences: Public Health and Health Services
Economics: Applied Economics

Practical Raman Chemical Analysis for Forsensic Applications

Summary of the impact

Techniques that can produce detailed chemical information rapidly and non-destructively for many forensic applications have been developed by Queen's University Belfast based on Raman analysis. The techniques have been adopted by the Forensic Science laboratory in Northern Ireland (FSNI) to trace the source of seized drugs, identify novel psychoactive substances ("legal highs") and study paint evidence. More than 2000 cases of supply/possession of ecstasy drugs, 947 paint casework samples and 100 'legal highs' have been analysed. Other law enforcement agencies are now adopting the methods developed at Queen's.

Submitting Institution

Queen's University Belfast

Unit of Assessment

Chemistry

Summary Impact Type

Legal

Research Subject Area(s)

Chemical Sciences: Analytical Chemistry, Macromolecular and Materials Chemistry, Physical Chemistry (incl. Structural)

Improving Barclays Bank's management of its exposure to Counterparty Credit Risk

Summary of the impact

In response to the deficiencies in bank risk management revealed following the 2008 financial crisis, one of the mandated requirements under the Basel III regulatory framework is for banks to backtest the internal models they use to price their assets and to calculate how much capital they require should a counterparty default. Qiwei Yao worked with the Quantitative Analyst — Exposure team at Barclays Bank, which is responsible for constructing the Barclays Counterpart Credit Risk (CCR) backtesting methodology. They made use of several statistical methods from Yao's research to construct the newly developed backtesting methodology which is now in operation at Barclays Bank. This puts the CCR assessment and management at Barclays in line with the Basel III regulatory capital framework.

Submitting Institution

London School of Economics & Political Science

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Economic

Research Subject Area(s)

Mathematical Sciences: Statistics
Economics: Applied Economics, Econometrics

Industrial impact of Bayes linear analysis

Summary of the impact

This study demonstrates how Bayes linear methodologies developed at Durham University have impacted on industrial practice. Two examples are given. The approach has been applied by London Underground Ltd. to the management of bridges, stations and other civil engineering assets, enabling a whole-life strategic approach to maintenance and renewal to reduce costs and increase safety. The approach has won a major award for innovation in engineering and technology. The methodology has also been applied by Unilever and Fera to improve methods of assessing product safety and in particular the risk of chemical ingredients in products causing allergic skin reactions.

Submitting Institution

University of Durham

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics, Statistics
Economics: Econometrics

The use of multilevel statistical modelling has led to improved evidence-based policy making in education and other sectors

Summary of the impact

Since 2008, statistical research at the University of Bristol has significantly influenced policies, practices and tools aimed at evaluating and promoting the quality of institutional and student learning in the education sector in the UK and internationally. These developments have also spread beyond the education sector and influence the inferential methods employed across government and other sectors. The underpinning research develops methodologies and a much-used suite of associated software packages that allows effective inference from complicated data structures, which are not well-modelled using traditional statistical techniques that assume homogeneity across observational units. The ability to analyse complicated data (such as pupil performance measures when measured alongside school, classroom, context and community factors) has resulted in a significant transformation of government and institutional policies and their practices in the UK, and recommendations in Organisation for Economic Co-operation and Development (OECD) policy documents. These techniques for transforming complex data into useful evidence are well-used across the UK civil service, with consequent policy shifts in areas such as higher education admissions and the REF2014 equality and diversity criteria.

Submitting Institution

University of Bristol

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Societal

Research Subject Area(s)

Mathematical Sciences: Statistics
Information and Computing Sciences: Computation Theory and Mathematics, Information Systems

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