Action Medical Research
Research Training Fellowship
- Award winner: Shivani Bailey
- Institution: University of Cambridge
- Value: £197,895
Germ cell cancers: protecting children from the side-effects of treatment and saving more lives
Royal Society
Wolfson Research Merit Awards
Awards are worth £10,000-£30,000 a year, which is a salary enhancement
- Award winner: Steve Bramwell
- Institution: University College London
Spin ice and magnetricity
- Award winner: Lars Chittka
- Institution: Queen Mary University of London
Radar-tracking the spatial movement patterns of key pollinators
- Award winner: Gerry Graham
- Institution: University of Glasgow
Defining the molecular choreography of the inflammatory response
Leverhulme Trust
Research Programme Grants
- Award winner: Dorothy Buck
- Institution: Imperial College London
- Value: £1,739,476
Knots in nature: DNA, the knotted molecule of life
- Award winner: Paul Sutcliffe
- Institution: Durham University
- Value: £1,692,509
Scientific properties of complex knots
Research Project Grants
Sciences
- Award winner: Anne Juel
- Institution: University of Manchester
- Value: £156,490
Multiple bubble propagation modes in elastorigid models of airway reopening
- Award winner: Duncan Gill
- Institution: University of Huddersfield
- Value: £133,481
Convergent synthesis of aconitine
- Award winner: Ewan Main
- Institution: Queen Mary University of London
- Value: £241,357
Using repeat proteins to create a toolkit for synthetic biology and biotechnology
Arts and Humanities Research Council
- Award winner: David Sneath
- Institution: University of Cambridge
- Value: £655,758 (AHRC contribution)
Pathways to understanding the changing climate: time and place in cultural learning about the environment
In detail
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Award winner: Michaela Mahlberg
Institution: University of Nottingham
Value: £200,437 (AHRC contribution)
CLiC Dickens: characterisation in the representation of speech and body language from a corpus stylistic perspective
The CLiC Dickens project aims to demonstrate through corpus stylistics how computer-assisted methods can be used in the study of literary texts and thereby offer insights into how readers perceive fictional characters. Although computer-assisted study of literary texts is not new, approaches that integrate corpus linguistic and literary concerns are rare. It is particularly challenging to address research questions that both move the discipline forward and require the design of new tools. The methods this team employs and develops are situated mainly in the wider field of corpus linguistics, in which digitised versions of texts and customised software are used to find recurrent textual patterns operating both above and below the level of explicit conscious awareness. This innovative approach combines corpus linguistic methods with research questions from cognitive poetics, specifically the way that readers engage in “mind-modelling” in the process of characterisation.