Examples of Working Together
Examples of working together in the ICT portfolio can be found across the full range of the schemes we use.
Programme Grant applications often feature working together and Fellowship applications must address the priority to be accepted for further peer review. Our standard mode panels continue to fund many projects which contribute to this priority, through First Grants, New Investigator Awards and standard research proposals. We also accept proposals in less well-known schemes which by their nature require Working Together, for example Overseas Travel Grants and Networks.
Some examples of Working Together in action are given below.
Detecting Induced Graph Patterns
Graphs are ubiquitous in science and engineering and the question of whether a graph appears as a pattern within another graph is very important. Clearer answers will allow a more efficient analysis of big data, better use of parallel computation and improved communications networks. It reflects Working Together as the research team led by Dr Daniel Paulusma and Professor Iain Stewart are developing methodologies and techniques which are a fusion of ideas arising within discrete mathematics and theoretical computer science. They are also working jointly with a number of discrete mathematics research groups in departments of Mathematics including research groups at Charles University in Prague, the National and Kapodistrian University of Athens, the University of Primorska in Koper and the University of Twente in Enschede. These collaborations have led to several project publications already and the project will lead to future long-term working relationships.
- Find out more about the grant - Detecting Induced Graph Patterns (GoW EP/K025090/1)
Storage, access and transmission of whole-slide images for telepathology applications
Digitisation of the images used to identify the cause, origin and nature of disease have changed the field of pathology. Images can now be shared and analysed automatically, increasing the value that can be extracted from the data. A typical whole-slide image is so large though that new techniques are needed to store and transmit them effectively. This project works together in two ways, under the direction of Dr Victor Sanchez of the University of Warwick. It will engage with the University Hospitals Coventry & Warwickshire, through their Department of Pathology, to make sure that new coding techniques capture the most clinically important information, as identified by practitioners on the ground. And it will work with GE Healthcare to ensure that its outputs are compatible with the scanners that are actually in use in hospitals, providing practical solutions through close engagement with a key technology provider.
Find out more about the grant - Storage, access and transmission of whole-slide images for telepathology applications (GoW EP/L02764X/1)
Babble: domain-general methods for learning natural spoken dialogue systems
By bringing together the best new ideas in natural language understanding and machine learning this project hopes to create the next generation of conversational speech interfaces. Current approaches are time-consuming and labour intensive to produce, each being crafted by experts and tailored to particular applications rather than general use. To get round these limitations, the BABBLE team at Heriot-Watt University led by Professor Oliver Lemon will create a new method to train speech systems to interact naturally with humans. The outputs will be shared with developers and deployed as mobile apps for public use and engagement.
Find out more about the grant - Babble: domain-general methods for learning natural spoken dialogue systems (GoW EP/M01553X/1)
Reliably unreliable nanotechnologies
The potential of memristive technologies to transform electronics will be explored in this Fellowship. By bringing together materials science and electronics Dr Themis Prodromakis will identify ways in which the nanoscale properties of these devices can be exploited to create opportunities for unconventional computing. Conventional approaches to electronics design value reproducibility and stability. The expectation is that a better understanding the probabilistic side of memristor technology through combining two seemingly incompatible fields will reap real rewards in future. And in a further example of the Working Together priority, the Fellow will be collaborating with a truly leading researcher form the United States, using the Fellowship to support their joint research.
Find out more about the grant - Reliably unreliable nanotechnologies (GoW EP/K017829/1)
PRiME: Power-efficient, Reliable, Many-core Embedded systems
The PRiME (Power-efficient, Reliable, Many-core Embedded systems) Programme Grant led by Bashir Al-Hashimi of the University of Southampton involves nine investigators from four universities. The team will work together to establish the new theory and practice of future high-performance embedded systems designed with many-core processors. It brings together four groups with world-leading expertise in the complementary areas of low-power, highly-parallel, reconfigurable and dependable computing and verified software design. Its contribution to Working Together is found in its cross-disciplinary approach organised around the layers of embedded systems: hardware, software and applications. The investigators have an ambition to establish an international research agenda in which the intertwined major challenges of energy, reliability, run-time and cross-layer system optimisation are addressed simultaneously.
Find out more about the grant - PRiME: Power-efficient, Reliable, Many-core Embedded systems (GoW EP/K034448/1)