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Industrial regions around the UK are seeking to develop bio-based economies in order to minimise their CO2 emissions and stimulate economic regeneration.
Researchers at Surrey, in collaboration with key industrialists from the Humber region, have produced a mathematical model of the main factors influencing the transition to, and establishment of, a bio-based economy. This model has been used by the Humber Environmental Managers (HEM) group, and the Humber local authorities to help guide strategic planning for the region. The outcome is that the research has contributed to environmental improvement and economic regeneration of the Humber region, and has indirectly impacted on public policy.
Research at The University of Nottingham's (UoN) Centre for Mathematical Medicine and Biology (CMMB) has informed a wide array of beneficiaries including public policy-makers, clinicians and industry in biomedical fields such as cancer and hospital infections. Through a wide range of mechanisms such as Study Groups, training, outreach and user-engagement, the CMMB has established an outstanding track record of furthering the use of mathematics and statistics to address medical and biological problems.
A two-dimensional flood inundation model called LISFLOOD-FP, which was created by a team led by Professor Paul Bates at the University of Bristol, has served as a blueprint for the flood risk management industry in the UK and many other countries. The documentation and published research for the original model, developed in 1999, and the subsequent improvements made in over a decade of research, have been integrated into clones of LISFLOOD-FP that have been produced by numerous risk management consultancies. This has not only saved commercial code developers' time but also improved the predictive capability of models used in a multimillion pound global industry that affects tens of millions of people annually. Between 2008 and 2013, clones of LISFLOOD-FP have been used to: i) develop national flood risk products for countries around the world; ii) facilitate the pricing of flood re-insurance contracts in a number of territories worldwide; and iii) undertake numerous individual flood inundation mapping studies in the UK and overseas. In the UK alone, risk assessments from LISFLOOD-FP clones are used in the Environment Agency's Flood Map (accessed on average 300,000 times a month by 50,000 unique browsers), in every property legal search, in every planning application assessment and in the pricing of the majority of flood re-insurance contracts. This has led to more informed and, hence, better flood risk management. A shareware version of the code has been available on the University of Bristol website since December 2010. As of September 2013, the shareware had received over 312 unique downloads from 54 different countries.
Fluid modelling approaches devised by the Materials and Engineering Research Institute's (MERI's) materials and fluid flow modelling group have impacted on industrial partners, research professionals and outreach recipients. This case study focuses on economic impacts arising from improved understanding which this modelling work has given of commercial products and processes. These include: metal particulate decontamination methods developed by the UK small company Fluid Maintenance Solutions; liquid crystal devices (LCDs) manufactured by the UK SME ZBD Displays; and an ink-droplet dispenser module originally invented at the multinational Kodak. Additionally, the modelling group's computer simulation algorithms have been adopted by industrial research professionals and made available via STFC Daresbury's internationally distributed software package DL_MESO. Finally, the group has developed, presented and disseminated simulation-based materials and visualisations at major public understanding of science (PUS) events.
Spatial decomposition methods have been extended to apply to spatial, scale, and temporal domains as a result of work at the Numerical and Applied Mathematics Research Unit (NAMU) at the University of Greenwich. This work has led to a numerical framework for tackling many nonlinear problems which have been key bottlenecks in software design and scientific computing. The work has benefitted the welding industry in the UK because these concepts are now embedded, with parallel computing, in the industry's modern welding design process software.
Research conducted at the School of Mathematics at Cardiff University has engineered lifesaving, improvements to UK healthcare systems. New mathematical models, accounting for the complexity and diversity of the health system, have been created and applied in a variety of contexts to markedly enhance the efficiency and effectiveness of a wide range of healthcare services — at policy, commissioning and operational levels. The extensive benefits include:
This work has been disseminated nationally and internationally, in the media and at a range of events designed to engage the public with Mathematics. Therefore the impacts claimed in this case study are health, economic benefits and public engagement.
Steered by Professor David Fell of Oxford Brookes University, Physiomics plc, an Oxford-based biotechnology innovation company has, since 2008, firmly established itself as a leading light in systems biology approaches to drug discovery and latterly in therapy design, demonstrable through contracts with three major international pharmaceutical companies. Through its strong advocacy of this approach the sector has invested in and adopted new computational biology processes. As Physiomics has continued to grow, it has expanded its own specialist research team, in many cases recruiting scientists trained within Fell's Brookes-based research group.
In the 1990s Dr D Moore, who has extensive experience in fluid dynamics, worked with collaborators at the US Naval Research Laboratory (NRL) on parallelising an ocean modelling code. This resulted in the Navy Layered Ocean Model (NLOM) and later the Hybrid Coordinate Ocean Model (HYCOM). NLOM and HYCOM, which were/are distributed through the NRL and HYCOM consortium, are open access ocean modelling codes that are used to forecast ocean currents. They have proved particularly impactful for the forecasting of ocean oil spills and the corresponding management of the environmental risk. NLOM and/or HYCOM have been used extensively in the Deepwater Horizon oil spill in 2010 as well as the Montara Well Release oil spill in Australia in 2009, providing valuable forecasts to assist with the response to the disasters.
Cancer research at the University of Salford focuses on developing new and improved treatments for cancer, particularly for children with cancer, demonstrating the following impact:
Our research has underpinned the work of Celldex Therapeutics and other US based companies, in developing a vaccine directed against hCGβ for the adjuvant treatment of epithelial cancer. A number of Phase I trials indicated an improvement in survival of vaccinated patients and Phase II trials began for bladder cancer where early data showed promise by improving the survival time. This has had a significant impact on these patients, and has the potential to extend the life of many millions of cancer sufferers (around 32% frequency of hCGβ secretion by carcinomas). Our research input has helped prove the technology and further trials are awaiting finance.