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1. The Scottish Ten

Summary of the impact

The Scottish Ten is an ambitious five-year project using cutting edge technology to create exceptionally accurate digital models of Scotland's five UNESCO designated World Heritage Sites (WHS) and five other international heritage sites in order to better conserve and manage them. It has had global impact in terms of both its outputs and the process of research activity including forging intellectual and diplomatic links with our international partners, increasing access to digital surrogates of heritage sites, raising awareness of technological approaches to conservation of world heritage, and contributing to the policies of major heritage organisations across the world.

Submitting Institution

Glasgow School of Art

Unit of Assessment

Art and Design: History, Practice and Theory

Summary Impact Type

Cultural

Research Subject Area(s)

Mathematical Sciences: Statistics
Information and Computing Sciences: Artificial Intelligence and Image Processing
Engineering: Geomatic Engineering

Managing the seabed through innovative near surface geophysical imaging

Summary of the impact

Southampton researchers have developed, commercialised and applied an array of new technological methods and interpretative approaches for managing the seabed through novel near surface geophysical imaging. This fundamental research has had demonstrable major impacts on areas as diverse as: improving the preservation and management of underwater cultural heritage (through providing direct UK government guidance and advice); enabling the sustainable use of the marine environment for the largest offshore infrastructure developments (including providers of nuclear power, wind power and trans-national energy connectors); enhanced mineral resource exploitation (for The Crown Estate — owners of the marine estate and regulators of the companies that exploit it); providing object detection service and training for the UK armed forces; assisting national and international law enforcement agencies in underwater search; and finally, disseminating these skills through postgraduate education to the UK and overseas marine survey sector.

Submitting Institution

University of Southampton

Unit of Assessment

Earth Systems and Environmental Sciences

Summary Impact Type

Environmental

Research Subject Area(s)

Engineering: Environmental Engineering
History and Archaeology: Archaeology, Curatorial and Related Studies

Impact of Machine-Learning based Visual Analytics

Summary of the impact

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.

Submitting Institution

Aston University

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing, Computation Theory and Mathematics, Information Systems

The creation of the Open Microscopy Environment (OME) and impact of life sciences companies worldwide.

Summary of the impact

Led from Dundee by Prof Jason Swedlow FRSE, The Open Microscopy Environment (OME) is an international consortium building tools to enable the storage and analysis of biological image data. OME releases Bio-Formats, an image format translation library, and OMERO, software for the visualisation, management and analysis of image data recorded by microscopes and high-content screening systems. OME software is open-source and transforms the way researchers manage the vast amount of image data routinely produced in research laboratories. Glencoe Software is the commercial arm of OME and provides commercial licenses, support, and customisation for OME's software tools to major industrial customers.

Submitting Institution

University of Dundee

Unit of Assessment

Biological Sciences

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing

Improving Social Care Call Centre Operational Effectiveness

Summary of the impact

Targeted Projection Pursuit (TPP) — developed at Northumbria University — is a novel method for interactive exploration of high-dimension data sets without loss of information. The TPP method performs better than current dimension-reduction methods since it finds projections that best approximate a target view enhanced by certain prior knowledge about the data. "Valley Care" provides a Telecare service to over 5,000 customers as part of Northumbria Healthcare NHS Foundation Trust, and delivers a core service for vulnerable and elderly people (receiving an estimated 129,000 calls per annum) that allows them to live independently and remain in their homes longer. The service informs a wider UK ageing community as part of the NHS Foundation Trust.

Applying our research enabled the managers of Valley Care to establish the volume, type and frequency of calls, identify users at high risk, and to inform the manufacturers of the equipment how to update the database software. This enabled Valley Care managers and staff to analyse the information quickly in order to plan efficiently the work of call operators and social care workers. Our study also provided knowledge about usage patterns of the technology and valuably identified clients at high risk of falls. This is the first time that mathematical and statistical analysis of data sets of this type has been done in the UK and Europe.

As a result of applying the TPP method to its Call Centre multivariate data, Valley Care has been able to transform the quality and efficiency of its service, while operating within the same budget.

Submitting Institution

Northumbria University Newcastle

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, Information Systems

New geology tools and knowledge used to improve the exploration and development of structgurally complex hydrocarbon reservoirs

Summary of the impact

Enhanced structural geology models of complex fractured reservoirs, utilising new virtual- and field-based techniques developed at Durham, have been applied by industry in the Faroe- Shetland region, N Britain and helped sanction development of the 8 billion barrel Clair Ridge project, a £4.5 billion investment by the Clair Joint Venture Group (BP, Shell, ConocoPhillips, Chevron). Geospatial Research Ltd (a spin-out launched in 2004) has additionally used Durham structural geology research methodologies and expertise to provide > £1.3 million of consultancy services to the global hydrocarbon industry creating, since 2008, 12 new highly skilled jobs.

Submitting Institution

University of Durham

Unit of Assessment

Earth Systems and Environmental Sciences

Summary Impact Type

Technological

Research Subject Area(s)

Earth Sciences: Geology, Geophysics

Development and provision of resources to improve professional practice in satellite-based observation for mapping land cover and forest structure

Summary of the impact

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.

Submitting Institution

Aberystwyth University

Unit of Assessment

Geography, Environmental Studies and Archaeology

Summary Impact Type

Environmental

Research Subject Area(s)

Environmental Sciences: Environmental Science and Management
Agricultural and Veterinary Sciences: Forestry Sciences
Engineering: Geomatic Engineering

A sea-change in geophysical-marine surveying for protecting our Ocean’s future

Summary of the impact

Safeguarding our seas through the establishment of marine Special Protection Areas and cultural heritage Seascapes is a fundamental aim of European Union Directives and the UK Marine and Coastal Access Act 2009. Over the past decade, sonar research development led by Dr Bates of the University of St Andrews has had widespread influence on international government and industry through accurate mapping of these assets, championing their importance and establishing new management strategies for their conservation. This work has been pivotal to the creation of 107 of the current legislated European Marine Special Areas of Conservation and Marine Special Protection Areas. The innovations in technology pioneered by this work also are providing critical findings on climate change impacts in the Earth's most sensitive and threatened environments with world media coverage on work in the Arctic including the award- winning TV series Operation Iceberg in 2012. Strong international media involvement has become one of the hallmarks of this work which simultaneously delivers research results as outputs of high quality across the globe. Furthermore, the technology has had economic impact in the form of three spin-out companies.

Public awareness of the world's threatened environments drives debate
        and action on climate change.
Public awareness of the world's threatened environments drives debate and action on climate change.

Submitting Institution

University of St Andrews

Unit of Assessment

Geography, Environmental Studies and Archaeology

Summary Impact Type

Environmental

Research Subject Area(s)

Mathematical Sciences: Statistics
Information and Computing Sciences: Artificial Intelligence and Image Processing
Engineering: Electrical and Electronic Engineering

1) Data2Text

Summary of the impact

Data-to-text utilises Natural Language Generation (NLG) technology that allows computer systems to generate narrative summaries of complex data sets. These can be used by experts, professional and managers to better, and quickly, understand the information contained within large and complex data sets. The technology has been developed since 2000 by Prof Reiter and Dr Sripada at the University of Aberdeen, supported by several EPSRC grants. The Impact from the research has two dimensions.

As economic impact, a spinout company, Data2Text (www.data2text.com), was created in late 2009 to commercialise the research. As of May 2013, Data2Text had 14 employees. Much of Data2Text's work is collaborative with another UK company, Arria NLG (www.arria.com), which as of May 2013 had about 25 employees, most of whom were involved in collaborative projects with Data2Text.

As impact on practitioners and professional services, case studies have been developed in the oil & gas sector, in weather forecasting, and in healthcare, where NLG provides tools to rapidly develop narrative reports to facilitate planning and decision making, introducing benefits in terms of improved access to information and resultant cost and/or time savings. In addition the research led to the creation of simplenlg (http://simplenlg.googlecode.com/), an open-source software package which performs some basic natural language generation tasks. The simplenlg package is used by several companies, including Agfa, Nuance and Siemens as well as Data2Text and Arria NLG.

Submitting Institution

University of Aberdeen

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing
Language, Communication and Culture: Linguistics

Addressing The Global Burden of Eye Diseases

Summary of the impact

Anglia Ruskin University's Professor Bourne leads the Vision Loss Experts Group (VLEG) which is part of the Global Burden of Disease Study (GBD. Comprising 79 leading ophthalmic epidemiologists from around the world, and carried out in partnership with the World Health Organization (WHO), VLEG compiled the most up-to-date statistics ever generated on the prevalence of global blindness, facilitating the analysis of trends and risk factors, and producing detailed future projections.

VLEG data have been described as "a critical contribution to our understanding of present and future health priorities for countries and the global community" (Editor-in-Chief, The Lancet, Dec 2012). The findings have directly impacted on healthcare policymakers and professionals, charities and economic analysts, both in the UK and overseas, increasing their awareness of global eye care issues. These users have applied this increased awareness at a:

a. Global level where the data have become a significant resource in health analyses by economists and healthcare planners such as PricewaterhouseCoopers and the World Economic Forum (WEF), enabling these organisations to provide recommendations for eye-health policies and practices. These reports predict the socio-economic impact of visual impairment in the world and provide an insight into the economic return from investments in eye-health treatment programmes. These in turn have informed the development of healthcare planning nationally and internationally, including the Eye Health Strategy by Vision2020 Australia. In addition, the research findings were used by NGOs and opinion leaders in ophthalmology at the Congress of the International Agency for the Prevention of Blindness (IAPB), informing discussion of blindness prevention strategies. This led directly to the development of an Action Plan for the Prevention of Avoidable Blindness and Visual Impairment (2014-2019) by the WHO, which was endorsed by the 66th World Health Assembly. Furthermore, the World Bank, as part of its mission to alleviate poverty, has adopted the data to inform funding priorities for health care projects in developing countries.

b. National level where VLEG findings drew attention to the absence of reliable data, subsequently leading to the commissioning of a detailed countrywide National Eye Survey of Trinidad and Tobago (NESTT), worth £350,000, in order to identify and address eye-health priorities.

Submitting Institution

Anglia Ruskin University

Unit of Assessment

Allied Health Professions, Dentistry, Nursing and Pharmacy

Summary Impact Type

Political

Research Subject Area(s)

Medical and Health Sciences: Ophthalmology and Optometry, Public Health and Health Services

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