LifeGuide is funded by the UK Economic and Social Research Council, as a node of the National Centre for e-Social Science. We are a team of health psychologists and computer scientists developing software that will allow researchers to easily and flexibly create and modify internet-delivered interventions.

WIME: Developing and Evaluating Interventions to Reduce Inappropriate Prescribing of Antibiotics in Primary Care.

Intervention modelling experiments (IMEs) allow complex interventions to be explored and refined prior to a full-scale trial by delivering key elements of the intervention in a simulation that approximates clinical practice. The current proposal will build on previous CSO-funded work and run a full, web-based IME (WIME) that will advance the methodology of IMEs by directly comparing results with an earlier paper-based IME. The WIME will be targeted at inappropriate prescribing of antibiotics in primary care. It will systematically develop and evaluate theory-based interventions that correspond to the theoretical, modelling and experimental phases of the MRC Framework. We will compare predictors of GP behaviour obtained from the WIME with those obtained in the paper-based IME and put one of the earlier IME’s interventions into the WIME and compare it, in an experimental design, with a new intervention developed specifically for web-based delivery. We propose to put the most successful intervention forward into a separately funded full-scale trial.


Open Impact is a project to help collect evidence about the impact of research that has been undertaken in UK universities and to provide it to a range of stakeholders (government, funders, press etc) through an independent third party agency (a learned society). The project focuses on a specific discipline (Computer Science) mediated through a particular society (the British Computer Society). In particular, this project will produce software that helps to make institutional repositories effective in collecting evidence of the impact of their institutions’ research - evidence that justifies the investment that government and research funders have made and that promotes the role of Universities in society.

Semantic Technologies in Learning and Teaching (SemTech)

This project identifed and quantify the benefits of Semantic technologies enhancing formal and informal learning and outlined a roadmap for semantic technologies adoption in these contexts.

Grid-Enabled Data Collection and Analysis - Semantic Annotation in Skills-Based Learning

This project conducted a case study in which semantic annotation (i.e. machine-processable annotation using Semantic Web technologies) is used both in capturing and working with the digital record, in support of subsequent qualitative and quantitative analysis. The case study focused on the research and practice of skills-based learning in the context of health care education.

Electronic Visualisation of nineteenth-century French literary-scientific texts

This project created and piloted an interactive electronic visualisation tool to be used in 2008-9 delivery of research-led nineteenth-century French literature and culture teaching at final year UG level. It used Web 2.0 technologies to allow students to explore the multiple perspectives, themes contexts and timelines within their core texts.


The central goal of the Equator IRC is to promote the integration of the physical with the digital. In particular, we are concerned with uncovering and supporting the variety of possible relationships between physical and digital worlds. Our objective in doing this is to improve the quality of everyday life by building and adapting technologies for a range of user groups and application domains.


The overall aim of the ArtEquAKT project is to use knowledge acquisition and analysis techniques to extract information from web pages on a given subject domain and construct an knowledge base overlaid with an ontology. The ontology can then be used to construct stories on the fly, by using story templates to walk the ontology and extract appropriate knowledge from the knowledge base underneath. Eventually it is hoped that the ontologies might be built automatically, although initially they will be manually constructed.