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Grant winners ¨C 15 September 2016

<ÁñÁ«ÊÓƵ class="standfirst">A round-up of recent recipients of research council cash
September 15, 2016
Grant winners tab on folder
<ÁñÁ«ÊÓƵ>Biotechnology and Biological Sciences Research Council

Research grants

Developing rice with increased resistance to salinity and drought


Why does Nature use modular enzyme architectures for biological catalysis?


<ÁñÁ«ÊÓƵ>National Institute for Health Research

Health Technology Assessment Programme

Improving the well-being of people with opioid treated chronic pain ¨C I-WOTCH


Public Health Research Programme

Measuring the impact of reducing police enforcement on sex workers¡¯ health in East London: a mixed-method evaluation of a natural experiment

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<ÁñÁ«ÊÓƵ>Leverhulme Trust

Research project grants
Sciences

Organisation of photosystem I and ATP synthase in plant photosynthetic membranes


Improved understanding of causal models in dynamic decision-making

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<ÁñÁ«ÊÓƵ>Engineering and Physical Sciences Research Council

Research grants

Ionic liquid electrolytes for intermediate-temperature electrolysers


  • Award winner: Ben King
  • Institution: Plymouth University
  • Value: ?100,957

Electron-seeded pair creation in intense laser pulses


  • Award winner: Savvas Tassou
  • Institution: Brunel University London
  • Value: ?1,642,830

Optimising energy management in industry ¨C OPTEMIN


<ÁñÁ«ÊÓƵ>In detail

Award winners: Annalu Waller (PI) and Per Ola Kristensson
Institutions: University of Dundee and University of Cambridge
Value: ?1 million

Augmenting Communication using Environmental Data to drive Language Prediction ¨C ACE-LP

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This project aims to change how people with no speech and complex disabilities can converse. Current computer-based systems ¨C voice output communication aids (VOCAs) ¨C use word prediction to speed typing. These average about 15 words a minute, but people without impairments speak about 10 times faster. The research team aims to produce a VOCA system that will predict words and phrases and also offer extended interaction by predicting narrative text elements tailored to a conversation. ¡°In current systems, users sometimes pre-store monologue ¡®talks¡¯, but sharing personal experiences and stories interactively using VOCAs is rare,¡± said Annalu Waller, professor of human communication technologies at the University of Dundee. ¡°Being able to relate experience enables us to engage with others and allows us to participate in society.¡±

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