The Congruence Engine is a three-year research project starting in November 2021 that will use the latest digital techniques to connect industrial history collections held in different locations.
Until now, historians and curators have become used to a world where it has only been possible to work with a small selection of the sources – museum objects, archive documents, pictures, films, maps, or publications, for example – potentially relevant to the history they want to explore. We hope to overcome this major constraint on the histories that can be created and shared with the wider public in museums, publications and online.
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simon66 — 3 years ago
This is a good summary of the core themes of the project.
Through 27 months of iterative exploration of the textiles, energy and communications industrial sectors, the project will tune collections-linking software to make it responsive to user needs. It will use computational and AI techniques – including machine learning and natural language processing – to create and refine datasets, provide routes between records and digital objects such as scans and photographs, and create the tools by which the historian and curator participants will be able to enjoy and employ the sources that are opened to them.