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Commercial advantage through computational discovery of dynamic communicators in large digital networks

Summary of the impact

Research by Higham, Estrada and Grindrod into new, computable measures for large, dynamically evolving communication networks has allowed the automatic identification of individuals who act as influencers, or efficient listeners. This research insight has been taken up by Bloom Agency (Leeds), a digital marketing and media agency. Bloom has used these ideas to strengthen their Data Insights Team, leading to investment in new jobs, generation of new business and delivery of better results for their clients. Bloom's commercially available real time social planning software product, Whisper, builds directly on the published research, and is at the heart of the agency's success in doubling staff numbers to 60 in recent months, having grown its annual income by 50% to £2.4Million through the use of these new tools.

Submitting Institution

University of Strathclyde

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Computation Theory and Mathematics
Economics: Applied Economics

Applying the mathematics of evolving networks for more effective social media marketing

Summary of the impact

Researchers in the Centre for the Mathematics of Human Behaviour at the University of Reading have developed a novel approach for the real-time monitoring of evolving social networks. These networks, in which connections between individuals change over time, are an important opportunity for online advertising. The research has been used in collaboration with Bloom Media Ltd to develop a new tool that gives their clients a better understanding of the impacts of social media campaigns. As a result Bloom are leading the field in this area, allowing them to attract major new clients and leading to significant growth of the business. The company now directly employs highly skilled mathematics graduates specifically to work in this area.

Submitting Institution

University of Reading

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Technological

Research Subject Area(s)

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

Manufacturing networks

Summary of the impact

The results of research at the University of Cambridge Department of Engineering (DoEng) on global manufacturing networks were disseminated to industry through publications, events, training and consultancy. During 2008-13 more than 20 multinational corporations applied the findings to transform their global networks, determining the ideal location and roles of plants around the world, and achieving beneficial trade-offs of access to markets and resources, innovation and risk, while minimising cost. Corporations including Rolls-Royce, GSK, BAE Systems, and Caterpillar report impacts in terms of cost savings (measured in tens of millions GBP per annum), improved competitive differentiation and shifts in capital expenditure allocation (measured in hundreds of millions GBP per annum). GBP 2,158,181 revenue has also been directly generated in consultancy and training spin-offs.

Submitting Institution

University of Cambridge

Unit of Assessment

General Engineering

Summary Impact Type

Economic

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing, Information Systems
Commerce, Management, Tourism and Services: Business and Management

e-Therapeutics: a University spin-out company that uses a new approach to discover medicines

Summary of the impact

Professor Malcolm Young and colleagues at Newcastle University developed new mathematical and computational tools with which they could analyse large amounts of data on connections in the brain and produce models of how the brain is organised. Young realised that those research tools could also be used to analyse networks of proteins involved in disease processes and predict their susceptibility to drugs and in 2003 he set up the medicines discovery company e-Therapeutics to exploit the technology. The company listed on the AIM of the London Stock Exchange in November 2007 and in May 2013 became the eighth largest company in the biotechnology/pharmaceutical sector listed on the index, with a market capitalisation of over £90 million.

Submitting Institution

Newcastle University

Unit of Assessment

Psychology, Psychiatry and Neuroscience

Summary Impact Type

Technological

Research Subject Area(s)

Medical and Health Sciences: Neurosciences

Optical Switching for High Performance Networks

Summary of the impact

Essex research has investigated a range of switching techniques to enable efficient routing in optical networks. This research informed the development of the iVX8000 system, the world's first `carrier class' converged switch and transport solution, launched in May 2011 by the network equipment manufacturer Intune Networks Ltd. The development, launch and field implementation of the iVX8000 system have underpinned a period of sustained growth and success for Intune. The company has enhanced its position within the photonics transmission sector and attracted €15M of venture capital and collaborative research funding since 2011.

Submitting Institution

University of Essex

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing, Data Format
Technology: Communications Technologies

Green IT

Summary of the impact

The work of the Green IT research group has made significant contribution to the national agenda and within the EU's e-science research community. We provided an independent, measurement based assessment for Cisco of their energy management system and measured the energy demand of client-server systems and data centre improvements for JISC. This is of significance as "Green management" of large data centres is of critical importance for providers and users alike. Our work also contributed to measurement (and education about measurement) in the EU e-Science research community and provided capacity building via EU postgraduate Green IT development. We co-authored the University's Green IT strategy bringing about positive economic and environmental impacts locally which have then been used as exemplars by others.

Submitting Institution

Leeds Metropolitan 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, Computer Software, Information Systems

Mobile applications and technologies making economic impact

Summary of the impact

Mobile technologies and in particular mobile applications have become key drivers of the economy in many countries especially those that lack established communications infrastructures. Since 2003, the research team led by Professor Al-Begain has created both significant infrastructure and know-how that became the base for the creation of the £6.4million Centre of Excellence in Mobile Applications and Services (CEMAS) that is providing research and development to SMEs in Wales to increase their competitiveness. In the first three years since its inception 28 projects have been completed and 66 companies have received services.

Submitting Institution

University of South Wales

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Economic

Research Subject Area(s)

Information and Computing Sciences: Data Format, Information Systems
Technology: Communications Technologies

2) Software Framework towards improvements of diagnosis of Dementia

Summary of the impact

Alzheimer's disease is the most common form of dementia, with a cost to society estimated at €177 billion per annum across Europe, according to the European Collaboration on Dementia (EuroCoDe) project funded by Alzheimer Europe. Data-based modelling of network structures is a modern approach to study and understand many diseases including dementia. Research carried out at the Institute of Pure and Applied Mathematics (IPAM) at the University of Aberdeen has led to the development, implementation, and testing of novel mathematical algorithms to infer network structures by means of observations of their dynamics. The results of our research have been implemented as part of a software package now offered by the Netherlands-based company BrainMarker to researchers and practitioners across Europe in an online `pay-per-click' platform (section 5.c1 and 5.c4). As such our research generated impact on clinical practitioners in addition to commercial impact.

Submitting Institution

University of Aberdeen

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Statistics
Medical and Health Sciences: Neurosciences
Economics: Econometrics

Impact of QoS research on the global TETRA radio standard

Summary of the impact

Lancaster University's pioneering research on Quality-of-Service (QoS) architecture has led to significant impact on the development of TETRA (Terrestrial Trunked Radio) — the digital radio standard used by emergency and public safety services globally. The route to impact was via UK projects on Mobile and Emergency Multimedia. It involved the transfer of QoS technology and know-how to HW Communications Ltd (HWC), a Lancaster-based SME. HWC became instrumental in developing the outcomes of our collaboration in TETRA's Multimedia Exchange Layer (MEX) standard and its specification for TETRA II (or TETRA Enhanced Data Services, TEDS) — a new version of TETRA that enables multimedia data services. MEX was adopted as a new clause in the TETRA II release in 2010. The impact is that vendors of TETRA equipment manufactured after 2010 can implement MEX in their products, thereby leveraging Lancaster's pioneering QoS research to enable applications to obtain the best possible level of service in a standardised way — which is absolutely crucial for the public-safety and related applications for which TETRA is being used.

Submitting Institution

Lancaster 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, Data Format
Technology: Communications Technologies

Novel computational approaches to discover medicines

Summary of the impact

New computational analysis methods have been developed to make drug discovery and toxicological analysis much more efficient. These methods have been patented (UK, EU, US) and are employed in e-Therapeutics Plc, a computational drug discovery spin-off company of the University. The company, introduced to the Alternative Investment Market of the London Stock Exchange in 2007, is now the eighth largest company (by market capitalisation - £92.7M (26/6/2013)) in the pharma/biotech sector. The underlying technologies derive from network analysis and workflow research at the University. The company has an anti-cancer drug (ETS2101) in phase I clinical trials in the UK and the US, and an anti-depression drug (ETS6103) planned to enter phase IIb clinical trial shortly. The beneficiaries of this research are e- Therapeutics directly, other drug companies, and ultimately patients.

Submitting Institution

Newcastle University

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

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

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