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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

Informing policy and mitigating risk – modelling infrastructure networks

Summary of the impact

Researchers at Queen Mary have applied mathematical modelling techniques to understand how and when problems may arise in complex man-made infrastructure networks including electricity, gas, global shipping and haulage networks. Many of these networks have points of vulnerability where a local issue such as an earthquake, a terrorist attack or even a simple engineering problem can bring down widespread areas of the network. Our research and the associated modelling techniques have impacted on organisations including the UK Treasury Office and the European Commission's Joint Research Centres at both Petten and Ispra, where it has been used to inform UK and European policy guidelines and legislation for infrastructure projects.

Submitting Institution

Queen Mary, University of London

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Technological

Research Subject Area(s)

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

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

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

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

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

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

Optical OFDM Transceiver Development and Commercialisation

Summary of the impact

Pioneering research at Bangor on the advanced communications technology termed Optical Orthogonal Frequency Division Multiplexing (OOFDM) has enabled industrial impact with global implications. OOFDM was a candidate technique for the ITU-T G989.1 NG-PON2 and the IEEE 802.3bm standards and is currently under consideration by the IEEE 802.3 400Gb/s Ethernet Study Group. Supported by 8 patent families and first-phase funding of £1.1M, in 2013, the pre-revenue Bangor University spin-off company Smarterlight Limited, was established. Smarterlight has deployed services to several international telecommunications companies to develop advanced solutions for access optical networks and data centres.

Submitting Institution

Bangor University

Unit of Assessment

Electrical and Electronic Engineering, Metallurgy and Materials

Summary Impact Type

Technological

Research Subject Area(s)

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

The Tegola Wireless Community Broadband Project

Summary of the impact

The Tegola Project has undertaken basic research on deploying wireless networking in remote communities, focusing on problems distinct to the Scottish Highlands. The engineering of the Tegola research testbed has had a profound impact on community broadband in Scotland. As a direct result, some of Scotland's most remote communities are now enjoying superfast broadband for the first time. This, together with a novel analysis of broadband infrastructure that underpins the Royal Society of Edinburgh's Digital Scotland report, has substantially influenced government policy in Scotland and changed the focus of the debate across the UK and beyond.

Submitting Institution

University of Edinburgh

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Societal

Research Subject Area(s)

Information and Computing Sciences: Data Format
Engineering: Electrical and Electronic Engineering
Technology: Communications Technologies

Design and optimization of communication networks

Summary of the impact

This case study provides an account of work on a mathematical framework for the design and optimization of communication networks, and some examples of the framework's influence upon the development of the network congestion control schemes that underlie modern communication networks, notably the Internet.

The impact on protocol development and on network architectures has been significant; in particular on the development of congestion control algorithms and multipath routing algorithms that are stable and fair. Several of the insights on large scale system behaviour have been transferred to help understand cascading failures in other large scale systems, including transport infrastructures.

Submitting Institution

University of Cambridge

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics, Statistics
Information and Computing Sciences: Computation Theory and Mathematics

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