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Research Nodes
The majority of the NCeSS research programme is being undertaken in seven Research Nodes, each of which is focussing on a particular area of e-social science. The Research Nodes were established in three phases starting in September 2004, April 2005 and October 2005, and each is funded for three years.
Applications strand
GENeSIS
UCL and University of Leeds.
The node aims to research issues related to generative eSocial Science. GENeSIS is a merger of MoSeS and GeoVUE.
LifeGuide
University of Southampton
LifeGuide is researching Internet interventions.
Obesity e-Lab
University of Manchester
The Obesity e-Lab is looking at issues concerning obesity.
DAMES
Stirling University
The Node will undertake a series of activities involving case studies, provision and support of data management activities undertaken by social scientists. One component of DAMES is further work on services developed on a specialist set of information resources concerned with occupations - GEODE.
Understanding New Forms of Digital Records (DReSS)
University of Nottingham
The overall aim is to develop technologies to record, represent and replay new forms of digital data for the social sciences.
Semantic Grid Tools for Rural Policy Development and Appraisal (PolicyGrid)
University of Aberdeen
The overall aim is to exploit emerging semantic web technologies to facilitate evidence-based rural, social and land-use policy-making through integrated analysis of mixed data types.
Social shaping strand
Oxford e-Social Science Node: Ethical, Legal and Institutional Dynamics of Grid-Enabled E-Sciences (OeSS)
University of Oxford
The overall aim is to understand the legal, ethical and social issues – such as confidentiality, privacy, data protection, intellectual property rights, accountability, trust and risk – raised by the design and use of e-infrastructures for social and natural scientific research.
Previous Nodes
Geographic Virtual Urban Environments (GeoVUE)
University College London
The overall aim is to provide Grid-enabled virtual environments within which users are able to link spatial data about cities to geographic information systems (GIS) software.
Modelling and Simulation for e-Social Science (MoSeS)
University of Leeds
The overall aim is to develop representation of the entire UK population as individuals and households, together with a package of modelling tools which allow specific social research and policy issues to be addressed.
Mixed Media Grid (MiMeG)
University of Bristol and King’s College London
The overall aim is to generate tools for social scientists to collaboratively analyse audio-visual qualitative data over the Grid.
Collaboratory for Quantitative e-Social Science (CQeSS)
University of Lancaster and CCLRC Daresbury
The overall aim is to ensure the effective development and use of Grid-enabled quantitative methods.