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The world is facing challenges in feeding its growing population. Climate change and increasing urbanisation have led to estimates of a 50% increase required in food production by 2050 according to report of the FAO on food security in 2012. Agriscience research has been developing high yielding crop varieties, which in turn, requires integration of incomplete complex data sets. Research in machine learning and predictive modelling at Imperial has addressed these challenges by filling the gaps in the descriptions of biological networks. This is having a significant economic impact in agriscience areas such as tomato ripening (market value > $100m), herbicide toxicity (market value ca. $20bn) and environmental modelling of herbicide-based crop management (> $100m).
This case study describes impact arising from research into designing constructionist tools that provide personalisation, support and guidance to learners and teachers, resulting in software used in several schools, FE colleges and universities world-wide. Constructionist learning is founded on the principle of constructionism which argues for the pedagogical importance of building artefacts as a way of building mental representations. A key computational challenge in the design of tools that foster constructionist learning is to provide intelligent support that guides users towards productive interaction with the tool without constraining its creative potential.
Professor Zhongyu (Joan) Lu's research contributed significantly to the development of a next-generation student response system (SRS) that is fully integrated with web services, Smartphones, multimedia and other ubiquitous technologies. By incorporating the use of widely available online equipment, the system has made SRS more affordable, easier to employ and applicable in a range of settings far more diverse than the traditional classroom scenario. It is now used in Europe and the US by both academia and industry and has served as the basis for a number of dedicated prototypes. Its success has also led to additional major funding streams for further research.
Within this case study we present the TrOWL technology developed at the University of Aberdeen that enables more efficient and scalable exploitation of semantic data. TrOWL and its component algorithms — REL, Quill and the Aberdeen Profile Checker — have had non-academic impact in two key areas. With respect to practitioners and professional services, the technology has enabled the introduction of two important World Wide Web Consortium (W3C) standards: OWL2 and SPARQL 1.1. This has led to impact in the way that many companies work, across a range of sectors. Further, through partnership with specific companies, the use of TrOWL has changed the way they operate and the technical solutions they provide to clients. These collaborations have led to economic impacts in companies such as Oracle in "mitigat[ing] the losses of potential customers", and IBM in "using the TrOWL reasoning infrastructure in [their] Smarter Cities solutions".
Many organisations rely on increasingly large and complex datasets to inform operational decision- making. To assist decision-makers when decisions are data-driven, computational tools are needed that present reliable summary information and suggest options allied to the key objectives of decision-making. Research at RGU has developed novel learning and optimisation algorithms driven by multifactorial data and implemented this in commercial decision-support software. The research has had economic impact by providing products to be sold: drilling rig selection tool (ODS-Petrodata Ltd.) and subsea hydraulics diagnostic tool (Viper Subsea Ltd.). Further economic impact comes from operations management software developed for British Telecom.
Ontologies are used to describe the meaning of terms in a domain. Manchester has had a leading role in the design of ontology languages, algorithms and tools. Through standardization, algorithm development and tool creation, we have significantly influenced the uptake of the Ontology Web Language (OWL) and Semantic Web Technologies by public service providers and industry. For example, the NCI thesaurus and SNOMED CT are medical terminologies in OWL; specialised semantic web companies such as Clark & Parsia, Racer Systems and TopQuadrant provide semantic technologies and services that build on OWL; and companies such as Oracle and B2i Healthcare include tool support for OWL.
Research led by Professor Chapman at the Knowledge Based Engineering (KBE) lab has resulted in a thriving partnership with the aerospace division of Rolls-Royce. KBE research captures domain-based knowledge and integrates it into refined computational models with automated tools to enhance design processes for engineering complex systems. This research has contributed to important improvements in the design processes used by Rolls-Royce to achieve substantial benefits in terms of accuracy, efficiency and ease of design and innovation in the development of jet engines. The techniques have also been exploited to enhance decision support processes for sustainable energy.
Our research explored the ways the emerging Semantic Web can support teaching and learning. It identified case based learning as a key area and outputs were used to enhance the unique research council funded Economic and Social Data Service public collections and pioneers pages. Results informed the thinking of accountancy bodies on e-assessment via the Association of Chartered Certified Accountants/International Association for Accounting Education. An exemplary user case study derived from the research was selected by World Wide Web Consortium (W3C). The research supported the aggregation and presentation of Open Educational Resources via JISC. Project software and documentation was released as open source. Outcomes provided the `Liverpool, City of Radicals' Project timeline.
The delivery of interchangeable services across a range of educational platforms has been a long-term problem in the field of technology enhanced learning. The Institute for Educational Cybernetics (IEC) identified widgets as having a potential role in resolving this problem, and developed a widget server, Wookie, to provide a research tool to investigate this. The research is summarised in [4] and [6]. The work attracted international attention, and the server has been reused in a number of other projects to provide interoperable services, both in education and beyond, and including a number of European funded initiatives. The impact of the work was recognised and enhanced by its acceptance by the Apache Software Foundation as an incubator project. It has now graduated as Apache Wookie, and is a full Apache project.
Bishop and Danicic contributed to the development of novel spend analysis software. Launched in 2011 as a commercial service by KTP industrial partners @UK PLC, SpendInsight has been used by over 380 organisations, including Basingstoke and North Hampshire NHS Foundation Trust, which, alone, cut procurement spend by £300,000 via savings identified using SpendInsight. An analysis produced by SpendInsight for the National Audit Office identified gross inefficiencies in NHS procurement, yielding potential annual overall savings of at least £500 million. The findings of this report were discussed in parliament and changes to NHS purchasing policy were recommended as a result.