Funding Success for NaCTeM


The following projects, involving NaCTeM, have recently been awarded funding:

Supporting Evidence-based Public Health Interventions using Text Mining

Funder: MRC
PI: Sophia Ananiadou; CI: John McNaught (SCS)
Duration: 36 months (1st April 2014 - 31st March 2017)
Funding: £637,147

This project will address current limitations in Evidence-based public health (EBPH) interventions by exploring new research methods which combine text mining and machine learning to produce novel "search while screening" tools for public health. This is a collaborative project with NICE and the University of Liverpool.

Mining the History of Medicine

Funder: AHRC, Big Data Call
PI: Sophia Ananiadou; CI: John McNaught (SCS); Prof. M. Worboys and Dr C. Timmermann (LFS)
Duration: 15 months (1st January 2014 - 31st March 2015)
Funding: £258,908

This cross-disciplinary collaboration between the National Centre for Text Mining (NaCTeM) and the Centre for the History of Science, Technology and Medicine (CHSTM) at the University of Manchester, seeks to demonstrate the potential of text mining in medical history. To do this, firstly an asset will be created out of two very large, long-running digital sources, the British Medical Journal (BMJ) (1840 - present) and the London-area Medical Officer of Health (MOH) reports (1848-1972), by applying text mining techniques to enrich these data with semantic annotations. The project plans to extend its impact to the following sectors: public health, public policy, publishing, media and libraries, with a view to ensuring sustainability and wider uptake of methods and technologies.

Mining Biodiversity

Funders: AHRC, ESRC, JISC, NEH, Innovation.Ca, Transatlantic Digging into Data Challenge Call
PI: Sophia Ananiadou; CI: Eva Navarro (SCS)
Duration: 18 months (1st February 2014 - 31st July 2015)
Funding: £99,000

The transatlantic Digging into Data challenge 2013 targets how computational techniques can be applied to "big data" in the humanities and social sciences.

NaCTeM is collaborating with the Biodiversity Heritage Library (BHL) and the Smithsonian Institute in the US and the University of Dalhousie (Visual Text Analytics Research Laboratory and Social Media laboratory) in Canada with the aim to transform BHL into a next generation social digital library resource. The partners will combine text mining with interactive visualisation techniques and crowdsourcing, to provide access to a fully interlinked and indexed BHL via the creation of a semantic search system. A social media environment will allow different users to interact and collaborate on science and public education, raising awareness of the changes in biodiversity over time. Overall, 14 teams representing collaborations from Canada, US, UK and the Netherlands were successful in this round which is the third in the series since 2009. NaCTeM's project is one of only four UK projects to have been awarded in this round.

Using Text Mining to Identify Interdisciplinary Links in eScholar

Funders: University of Manchester Research Institute (UMRI) Pump Priming Programme
PI: Sophia Ananiadou (SCS); Rachel Kirkwood (UML)
Duration: 6 months (1st February 2014 - 31st July 2014)
Funding: £42,548

The fostering of new interdisciplinary research is reliant on identifying potential synergies between the work of different groups within the university. Often, researchers in different schools or departments may not be aware of potential overlaps between their respective research and therefore, collaborative opportunities may be missed. One way of discovering potential research links is to examine the papers and articles produced by different groups in order to identify possible commonalities in previously reported research. This project aims to automate the process of discovering such links, though the application of advanced text mining techniques developed by NaCTeM) to articles indexed within eScholar. These techniques will facilitate the discovery of clusters of related documents across different disciplines.

Enhancing scholarly communications search for EPS PhD students in eScholar via semantic text mining

Funders: University of Manchester EPS Strategic Research Fund
PI: Sophia Ananiadou (SCS)
Duration: 3 months (1st February 2014 - 30th April 2014)
Funding: £10,000

The project will create a pilot demonstration interface that will illustrate the potential impact of integrating several existing text mining tools developed at the National Centre for Text Mining (NaCTeM) into eScholar, to help students in the EPS faculty. The tools will allow the automatic recognition of concepts and entities relevant to different disciplines represented in EPS, such as graphene, polymers, molecules, chemical and organic compounds, electronic sensors, protons, fuels, fluids, etc. Such concepts and entities will form the basis of the semantic-based search functionality.

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