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Grant winners - 18 September 2014

Published on
September 18, 2014
Last updated
June 10, 2015

Royal Society

Wolfson Research Merit Awards

Awards are worth 拢10,000-拢30,000 a year, which is a salary enhancement

Small summaries for big data

Earth System biogeochemical feedbacks, climate targets and emissions mitigation

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Biotechnology and Biological Sciences Research Council

Research Grants

GplusE: Genomic selection and environment modelling for next-generation wheat breeding

Transnational approaches to resolving biological bottlenecks in macroalgal biofuel production (SuBBSea)

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Coordinating different protein translocation machineries during assembly of a membrane protein

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Leverhulme Trust

International Networks
Humanities

Global nodes, global orders: macro- and micro-histories of globalisation

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War memoryscapes in Asia partnership: routes to post-conflict reconciliation

Social sciences

Re-doing business: insolvency and bankruptcy legislation, models of business, and firms鈥� governance in historical and comparative perspective (1900-2010)

Framing financial crisis and protest: northwest and southeast Europe

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Economic and Social Research Council

Transformative Research

Making liveable lives: rethinking social exclusion

Where do I stand? Assessing children鈥檚 understanding of law as an empowering force in their lives

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In detail

Economic and Social Research Council

Award winner: Farida Vis
Institution: University of Sheffield
Value: 拢206,880

Picturing the social: transforming our understanding of images in social media and big data research

This project is the world鈥檚 first cross-platform academic research project into social media images, exploring the impact images of this kind have on society. A key aim of the project is to use the insight from academia and industry to build a free research tool that will allow researchers to capture this visual data to highlight and study different aspects. 鈥淚mages tend to be trickier to study than words,鈥� said Farida Vis. 鈥淲ith the rise in techniques that focus on large volumes of text, specifically with the growing interest in so-called big data, images tend to get forgotten.鈥� Findings from the project will be disseminated via the new .

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