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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.
Research into the operational characteristics and applicability of biological reaction networks, carried out at the university in collaboration with groups at Caltech and Sony Systems, revealed the pressing need for a standard format that could be used for storage and exchange of mathematical models of such systems. Hertfordshire researchers played a crucial role in the initial design, dissemination and early exploitation of the Systems Biology Markup Language, SBML, now recognised as the de facto standard format for this purpose. Several major scientific publishers operating across academic boundaries require their authors to use SBML, and 254 software tools, including MATLAB and Mathematica, are now SBML-compliant. Online forums testify to a sizeable, international user-developer community that encompasses engineers, biologists, mathematicians and software developers.
Collaborations funded through EPSRC Interact and RCUK UK-China Science Bridge resulted in QUB's advanced control research having important economic and environmental impact in China, Pakistan, Vietnam. This includes the creation of new core modules for the Shanghai Automation Instrumentation Co (SAIC) SUPMAX Distributed Control System series of products now in use for whole plant monitoring and control to maximise energy efficiency and reduce pollutant emissions. These products have since 2008 increased SAIC's revenue by over $50M p.a. Related networked monitoring technologies have been successfully deployed in Baosteel's hot-rolling production lines and in the Nantong Water Treatment Company that treats 20,000 tonnes of industrial waste water daily.
Collaboration between the University of Southampton and scientists at GlaxoSmithKline (GSK) has resulted in the adoption of new statistical design of experiments and modelling methods for the confirmation of a robust operating region for the industrial production of new drugs. These methods have enabled larger numbers of factors to be investigated simultaneously than previously possible, improving scientific understanding of the chemical processes and producing savings of time, money and effort. Southampton's new methods were used in a key process required for the registration of a new skin cancer drug with the US Food and Drug Administration, where the research enabled the verification of a robust operating region to be completed in a third of the previous time.
Automotive design analysis software based on qualitative reasoning research in the Advanced Reasoning Group at Aberystwyth is deployed at more than 200 automotive and aeronautic OEMs and Tier 1 suppliers world-wide. The software necessitates companies changing their process for performing design analysis, and companies are willing to do this because of the attendant benefits.
The major benefits of use of the software are early feedback on potential problems with the design of automotive systems, and improved safety of automotive designs. Related benefits are improved product time to market, and cost savings. A representative example of production savings of $2.5 million has been given for use of the software on a single product design, as well as Ford Motor Company's estimate of $20M per year saved in just their company.
Small area estimation (SAE) describes the use of Bayesian modelling of survey and administrative data in order to provide estimates of survey responses at a much finer level than is possible from the survey alone. Over the recent past, academic publications have mostly targeted the development of the methodology for SAE using small-scale examples. Only predictions on the basis of realistically sized samples have the potential to impact on governance and our contribution is to fill a niche by delivering such SAEs on a national scale through the use of a scaling method. The impact case study concerns the use of these small area predictions to develop disease-level predictions for some 8,000 GPs in England and so to produce a funding formula for use in primary care that has informed the allocation of billions of pounds of NHS money. The value of the model has been recognised in NHS guidelines. The methodology has begun to have impact in other areas, including the BIS `Skills for Life' survey.
The development of unique computer simulation tools has profoundly influenced the design and manufacture of silicon chips fuelling the $300 billion per year semiconductor industry. A pioneer of statistical variability research, Professor Asen Asenov developed understanding and awareness of statistical variability in the nanoscale transistors which make up all silicon chips. Gold Standard Simulations (GSS) was created in 2010 and by 2012-13 had grown revenue from services and licensing to $1million. GSS tools are currently used in foundries providing 75% of all semiconductor production for fabless design companies globally. For example, working with GSS and their simulation tools has reduced the development time for IBM's next generation of CMOS technology by 1 year, representing significant savings in the 3-5 year technology development cycle.
Wavelets and multiscale methods were introduced and rapidly became popular in scientific academic communities, particularly mathematical sciences, from the mid-1980s. Wavelets are important because they permit more realistic modelling of many real-world phenomena compared to previous techniques, as well as being fast and efficient. Bristol's research into wavelets started in 1993, has flourished and continues today. Multiscale methods are increasingly employed outside academia. Examples are given here of post-2008 impact in central banking, marketing, finance, R&D in manufacturing industry and commercial software, all originating from research at Bristol. Much of the impact has been generated from the original research via software. This software includes freeware, distributed via international online repositories, and major commercial software, such as Matlab (a preeminent numerical computing environment and programming language with over one million users worldwide).
Visual analytics is a powerful method for understanding large and complex datasets that makes information accessible to non-statistically trained users. The Non-linearity and Complexity Research Group (NCRG) developed several fundamental algorithms and brought them to users by developing interactive software tools (e.g. Netlab pattern analysis toolbox in 2002 (more than 40,000 downloads), Data Visualisation and Modelling System (DVMS) in 2012).
Industrial products. These software tools are used by industrial partners (Pfizer, Dstl) in their business activities. The algorithms have been integrated into a commercial tool (p:IGI) used in geochemical analysis for oil and gas exploration with a 60% share of the worldwide market.
Improving business performance. As an enabling technology, visual analytics has played an important role in the data analysis that has led to the development of new products, such as the Body Volume Index, and the enhancement of existing products (Wheelright: automated vehicle tyre pressure measurement).
Impact on practitioners. The software is used to educate and train skilled people internationally in more than 6 different institutions and is also used by finance professionals.
A dedicated specialist mathematical modelling unit in the H. Lee Moffitt Cancer Center, Tampa, FL, USA, was set up — the Integrated Mathematical Oncology Unit (IMO) — through the movement of three staff with expertise in cancer modelling from the UoA's Mathematical Biology (MB) research group. Clinical practice has been changed and patient treatment improved through the work of IMO.
Modelling by members of the MB research group and the move of a former PDRA led to Cyclacel Ltd. and AstraZeneca obtaining a better understanding of the link between drug-dose and drug-efficacy in a class of cell-cycle-specific anti-tumour drugs called Aurora kinase inhibitors and has led to enhanced business performance.