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Newcastle University

Team Info

Newcastle University is a public university located in Newcastle upon Tyne (United Kingdom) and is a member of the Russell Group comprising the UK’s leading research-intensive universities. The University has one of the largest EU research portfolios in the UK, and in addition has worldwide research links. Teaching and research activities are delivered in 20 academic schools and 40 research institutes and research centres, spread across three Faculties: the Faculty of Humanities and Social Sciences; the Faculty of Medical Sciences; and the Faculty of Science, Agriculture and Engineering. In total the University employs approx. 5,400 staff and has over 22,000 students. Newcastle University also has teaching and research operations based in Singapore and Malaysia. The school of natural and environmental sciences employs academic staff across a wide range of disciplines within the natural and social sciences. Researchers involved with Inextvir are focused on undergraduate and postgraduate training and translational research in Agricultural Production, Rural Enterprise, and citizen Consumer behaviour in relation to food and agriculture (including risk) and nutrition.

UNEW researchers have extensive experience of collaboration in EU projects., Staff in the Applied Social Science group have extensive research experience in the areas of expert elicitation, risk/benefit perception, and risk benefit communication, both from a theoretical and methodological perspective. Policy translation of results has also been key activity nationally and internationally. Research staff have published extensively in this area, and have worked collaboratively with natural scientists in developing evidence to support new research agendas and policy development.

The Agricultural Production Systems Group is home to a growing area of research at UNEW developing new approaches for the detection and surveillance of plant pests and diseases, including genetic traits relevant to control (e.g. resistance genotypes). Of particular interest are how field based diagnostic technologies can be used to generate real time data to enable farmers and agronomists to better control plant pests and diseases.

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