This project will use University College London's collections and state of the art 3D colour scanner, which can revolutionize the traditional methods in museums and archives based on text and images. The project envisions to use 3D recording to describe artefacts as a whole. This method will offer yet unknown details and insights into the object's structure. Such 3D scans could then help with the identification of degraded surfaces. They would allow comparisons of whole three-dimensional objects. As a proof-of-concept, six artefacts will be 3D-scanned and stored at UCL and federated sites.
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The London based series of workshops titled 'Researching e-Science Analysis of Census Holding' (ReACH) is investigating how to make use of the data set of historical census data not only for academic research but also for common public interest in genealogical research. Historical census data is an example of human data that is already used in several computing applications.
Digitized census data however is not readily available to researchers either because it is not known to the community or researchers do not have access to sufficient computing power to deal with such data. A full investigation into census data with advanced computing methods has not taken place yet. The prospects of such an investigation are the ability to better and more completely analyze changes in population - a research question that becomes more and more relevant in a globalized world.
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The Queen's University Belfast's AHRC workshop, 'Geographical Information System (GIS) e-Science: developing a roadmap' will address current GIS usage in the arts and humanities, difficulties experienced by humanities researchers employing the technology, the advantages the technology brings, and develop a roadmap for future usage.
It will focus on the usage of digitizations of major established resources such as the English Place Names Survey, which provides all the alternative variants of a huge number of toponyms, and how they can be used to best advantage on GIS platforms. It also highlights a need for basic connective infrastructure: common thesauri, chronological definitions, and controlled vocabularies to ensure that spatial data - particularly in the historical domains - is described in a managed way so that they can interoperate properly and be cross-searched and cross-analyzed.
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