Summary of the impact

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:

1. The formation of InforSense to commercialise the technology. The company had 150 employees in June 2009 when it merged with IDBS Ltd to create the world's second largest life science informatics company.
2. The results from knowledge management technology and associated software platform have enabled the integration of molecular, imaging, clinical data and analytics, to identify biomarkers for disease identification, treatment selection and side effect prediction.
3. Since 2002 the technology has been deployed by major pharmaceutical companies (including GSK, AZ, Roche, Pfizer, Bayer and Boehringer Ingelheim) and leading healthcare institutions e.g. Mayo Clinic, Harvard Medical School and King's Health Partners, generating significant social, health and economic impact.

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.

Summary of the impact

The security of data in printing and network environments is an area of increasing concern to individuals, businesses, government organisations and security agencies throughout the world. Mathematical algorithms developed at the School of Mathematics at Cardiff University represent a significant step-change in existing data security techniques. The algorithms enable greater security in automatic document classification and summarisation, information retrieval and image understanding. Hewlett-Packard (HP), the world's leading PC vendor, funded the research underpinning this development and patented the resulting software, with the aim of strengthening its position as the market leader in this sector of the global information technology industry. Hewlett Packard has incorporated the algorithms in a schedule of upgrades to improve the key security features in over ten million of their electronic devices. Accordingly, the impact claimed is mitigating data security risks for HP users and clients and substantial economic gain for the company.

Summary of the impact

This impact case study delivers a sustainable approach to the provision of large-scale Cloud Computing resources, through an international research collaboration. Such a platform enables the widening of participation in Higher Education (HE) across nations, by transforming the provision of IT system resources. The transformation is achieved through the effective sharing and utilisation of flexibly reconfigurable computing resources, whilst reducing the impact upon global carbon emissions. Significantly, the international nature of this research has been recognised by considerable funding from both Chinese and UK agencies. Additionally, the creation of closer research links between international partners has resulted in industrial commercialisation.

Summary of the impact

The research improves digital data archives by embedding computation into the storage controllers that maintain the integrity of the data within the archive. This opens up a number of possibilities:

• Data analysis can be automated and incorporated into the archiving process;
• The approach improves the archiving of all types of digital objects, from television broadcasts to genomes;
• The approach can be applied to distributed data and to datasets that are too big for traditional approaches.

This has impact on three different classes of beneficiary:

• Providers of national data infrastructure in the UK and US, who are incorporating Cheshire 3 into national data repositories;
• Data Users, such as Astra Zeneca, RAI, Sanger Institute, who are using Cheshire 3 to extract valuable information from their data;
• Equipment vendors, such as NetApp, Xerox and Bellerophon Mobile, who are developing commercial systems that will use Cheshire 3.

Summary of the impact

Our research on cross-layer optimised video distribution over wireless networks has led to wide- reaching economic and societal impact, via the following pathways:

- Standardisation: our research results were directly adopted in WirelessMAN and LTE, the two global standards for the next generation of wireless broadband networks.

- Collaborative research: the work resulted in a product that has been commercialised by our collaborators Rinicom Ltd, an SME specialising in mobile video, and recognised with a Queen's Award for Enterprise (2013), for achievements to which our research contributed significantly.

- User engagement: the work resulted in the deployment of a WiMAX network in Slavutych/Chernobyl, Ukraine; contributing to community regeneration in a UK Government programme to address social and economic consequences of nuclear power plant closure.

Summary of the impact

KCL research played an essential role in the development of data provenance standards published by the World Wide Web Consortium (W3C) standards body for web technologies, which is responsible for HTTP, HTML, etc. The provenance of data concerns records of the processes by which data was produced, by whom, from what other data, and similar metadata. The standards directly impact on practitioners and professional services through adoption by commercial, governmental and other bodies, such as Oracle, IBM, and Nasa, in handling computational records of the provenance of data.

Summary of the impact

Grid computing research conducted by the High Energy Physics (HEP) Group at the University of Cambridge, Department of Physics has enabled software company IMENSE to develop and commercialise a range of content based image recognition products. The research gained substantial media interest and was featured at the BA Festival of Science 2008.

Summary of the impact

Research in the UoA has underpinned the development of the current version of BOINC (Berkeley Open Infrastructure for Network Computing), a technology to enable secure volunteer computing. The research was done as part of the climateprediction.net project that is currently managed as CPDN through the UoA, supporting international climate modelling. CPDN models climate change using donated cycles on users' computers, with almost 700,000 users registered by 2013. Significant work to develop BOINC in CPDN has enabled the public to engage with science more easily and conveniently. BOINC has become recognised as the key open-source tool for volunteer computing and is also available to companies to create their own grid networks. It has been used for a range of applications from driving experiments to find the Higgs particle to using home PCs to detect earthquakes.

Summary of the impact

Research on data compression produced novel algorithms that optimise the use of bandwidth and processing power. This research has led to the establishment of a product line that applies these algorithms to video surveillance software, marketed by Digital Barriers plc. Since 2008 this compression technology has allowed the company to grow from 8 to 41 staff and increase revenue from £800K to £6M in 2013. The novelty and usefulness of the data compression research was also appreciated by ThinkAnalytics plc. This led the company to the optimal design for data compression in their recommender system, which is currently being supplied to 130M cable TV customers making the product the most deployed content recommendation system in the market.