Grant winners

September 13, 2012


Project grants

• Award winner: Jan-Ulrich Kreft

• Institution: University of Birmingham

• Value: £266,197

eGUT: a tool for predictive computer simulation of the gut microbiota and host interactions

• Award winner: Sarah-Jane Vick

• Institution: University of Stirling

• Value: £176,021

Quantifying the behavioural and facial correlates of pain in laboratory macaques

Pilot study grants

• Award winner: Francois Lassailly

• Institution: Cancer Research UK

• Value: £72,408

Non-invasive imaging to reduce and refine the use of animals and monitor their welfare during the course of experimentations in oncology

• Award winner: Mark Lewis

• Institution: Loughborough University

• Value: £74,125

CRANNME: The complete removal of animal use for neuromuscular effectors testing


Responsive Mode Grant Awards

Values are the amounts requested. Awarded amounts may differ

• Award winner: Anton Gartner

• Institution: University of Dundee

• Value: £301,000

SUMO proteomics in C. elegans; germ line, meiosis and the DNA damage response

• Award winner: Anthony Graham

• Institution: King's College London

• Value: £361,000

The developmental logic of trigeminal sensory neurons

• Award winner: Magnus Richardson

• Institution: University of Warwick

• Value: £717,000

Negative-feedback control of neocortical activity by the neuromodulator adenosine

• Award winner: Marios Philiastides

• Institution: University of Nottingham

• Value: £386,000

Spatiotemporal characterisation of value judgements and reward processing in the human brain


Successful Rising Powers and Interdependent Futures research grants

• Award winner: Stephen White

• Institution: University of Glasgow

• Value: £461,739

Rising Powers: Unequal Powers, Authoritarian Powers, Unstable Powers?


Arts and Humanities Research Council

• Award winner: Ruslan Mitkov

• Institution: University of Wolverhampton

• Value: £609,718

Disambiguation of verbs by collocation

The team will use statistical approaches to the analysis of corpus data in order to discover typical usage patterns and hence create a resource for the disambiguation of verbs by collocation (DVC). They propose to associate meanings with normal usage patterns, rather than words in isolation, and to integrate lexical collocations with valency, providing an empirically well-founded resource for use in mapping meaning on to word use in free text. DVC will show the comparative frequency of each pattern of each verb, enabling programmes to develop statistically based probabilistic reasoning about meanings, rather than trying to evaluate all possibilities equally. The value of DVC will be proven by textual entailment and paraphrasing, in this way demonstrating its potential usefulness in a large number of fields of computational linguistics that benefit from these two applications.

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