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Climate change is one of the most critical challenges facing modern society and there is a paramount requirement for government policy informed by science, and scientifically credible public information. Observations of sea surface temperatures, and their corroboration, are a focus for governments — climate change mitigation is economically important in a warming world. This UoA has provided the science leadership for a major satellite programme, the ATSRs, specifically designed to provide high-quality sea temperature data. Results from our research reduce uncertainties on global temperature change with unexpectedly wide benefits also to operational oceanography and weather forecasting. Public visibility through the Science Museum is also high.
University of Leicester research has developed, with funding from the European Regional Development Fund, a business support offer, Global Monitoring for Environment and Security (GMES) Space Technology Exchange Partnership (G-STEP) — which has led to a number of impacts:
Economic impacts via direct support of 40 East Midlands companies, including the creation of 3 new businesses, with a £950K GVA (Gross Value Added) to the companies and £2.9M in investment in the East Midlands. It has led to the employment of 20 Leicester graduates. Policy impacts via the Local Economic Partnership which has identified space as one of three emerging sectors for focussed development. Nationally, the emerging Satellite Applications Catapult has reviewed the G-Step delivery model to inform its own operation. Internationally, G-STEP led the NEREUS (Network of Regions in Europe Using Space) Earth Observation/GMES working group and produced the "The Growing Use of Space Across Europe", launched at the European Parliament in 2012.
Environmental benefits via the development of products which are having a positive impact on the environment including satellite enabled traffic management tools and high value crop management.
The advanced information management research of the Department of Digital Humanities (DDH) has led to a better understanding of pollution processes in inland waterways and lakes. It has also improved the standard of water quality information that is available to government and regulatory authorities. The information management framework which DDH has provided supports government-funded activities to improve environmental standards and has helped ensure that the UK Environment Agency is able to comply with the EU's Water Framework Directive, reducing the risk of financial penalties for non-compliance. Moreover, key and accurate evidence about water quality has been made freely available to beneficiaries, including governmental and non-governmental agencies, farmers and land managers, and the general public.
The mapping and monitoring of land cover, habitats and forest structure through satellite-based observation by government and commercial organisations around the world has been enhanced by data analysis techniques and tools developed by the Earth Observation and Ecosystem Dynamics (EOED) Laboratory at Aberystwyth University (AU). This has allowed new commercial services to be provided and has change professional working practices. The key impacts include (i) improved knowledge and information about land cover and environmental change in forest and brigalow ecosystems in Australia, supporting effective management strategies; (ii) the completion of a comprehensive digital map of habitats in Wales to inform policy-making; and (iii) the increased capacity of the global remote sensing community in forest characterisation using open source software developed by AU.
Research carried out at the University of Leeds has been used to develop data sets that are now routinely used in offshore oil exploration to identify prospective areas faster, and with reduced cost. New techniques applied to satellite altimeter data have been used to compute gravity anomalies in marine areas with increased accuracy and reliability relative to earlier products. These anomalies have been developed during the REF period in association with a University of Leeds spin-out company (Getech) into a global data set, which has been sold and licensed extensively within the hydrocarbon exploration industry. The global data set has delivered economic and reputational benefits to Getech, and has been employed by oil companies in more than 50 exploration projects per year. Shell values the improved gravity data at $2.5M per project.
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.
Advanced technologies for data visualisation and data mining, developed in the Unit in collaboration with national and international teams, are widely applied for development of medical services. In particular, a system for canine lymphoma diagnosis and monitoring developed with [text removed for publication] has now been successfully tested using clinical data from several veterinary clinics. The risk maps produced by our technology provide early diagnosis of lymphoma several weeks before the clinical symptoms develop. [text removed for publication] has estimated the treatment test, named [text removed for publication], developed with the Unit to add [text removed for publication] to the value of their business. Institute Curie (Paris), applies this data mapping technique and the software that has been developed jointly with Leicester in clinical projects.
Researchers in Cambridge have developed a data standard for storing and exchanging data between different programs in the field of macromolecular NMR spectroscopy. The standard has been used as the foundation for the development of an open source software suite for NMR data analysis, leading to improved research tools which have been widely adopted by both industrial and academic research groups, who benefit from faster drug development times and lower development costs. The CCPN data standard is an integral part of major European collaborative efforts for NMR software integration, and is being used by the major public databases for protein structures and NMR data, namely Protein Data Bank in Europe (PDBe) and BioMagResBank.
The research in this case study has pioneered knowledge management technology. It has had major impact on drug discovery and translational medicine and is widely adopted in the pharmaceutical and healthcare industries. The impacts are:
Onchocerciasis (river blindness) is a debilitating disease of major public health importance in the wet tropics. The African Programme for Onchocerciasis Control (APOC) seeks to control or eliminate the disease in 19 countries. Accurate mapping of Loiasis (eye-worm) was a requirement for implementation of APOC's mass-treatment prophylactic medication programme in order to mitigate against serious adverse reactions to the Onchocerciasis medication in areas also highly endemic for Loiasis. Model-based geostatistical methods developed at Lancaster were used to obtain the required maps and contributed to a change in practice of APOC in a major health programme in Africa. Our maps are used to plan the delivery of the mass-treatment programme to rural communities throughout the APOC countries, an estimated total population of 115 million.